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Oppo Finalizes Mid-Range Smartphone Packing 10000mAh Battery

2026-07-20T03:05:00.000-04:00

Oppo is preparing to release a mid-range smartphone equipped with a 10,000mAh battery, named the Oppo A7 Pro Max.

Data leaked by digital industry tracker Digital Chat Station on Weibo reveals the device has entered its final launch preparation stage. The release follows an industry trend where brands increase battery sizes to offset rising memory component costs.

The smartphone utilizes a specialized single-cell battery configuration with a rated minimum capacity of 9,700mAh and a typical performance value of 10,000mAh. Traditional dual-cell systems require secondary wiring and voltage transformation circuits that take up internal device volume. By removing these extra components, Oppo freed up internal space, gaining roughly five to eight percent more capacity within the same physical dimensions.

The structural diagram illustrates how modern manufacturers pack high-density cells directly into tight chassis spaces to optimize phone life.

The phone measures 8.47 millimeters thick and weighs 226 grams even with the large battery capacity. For comparison, several recent flagship devices with batteries under 5,000mAh weigh up to 231 grams and measure over 8.7 millimeters thick. The use of silicon-carbon negative electrode materials allowed engineers to increase energy density without swelling the outer shell.

The internal hardware relies on the Qualcomm Snapdragon 4 Gen 5 processor, a 4-nanometer platform introduced in May 2026. This mid-tier processor manages daily applications efficiently to prevent excessive power drain on the cell. The phone supports 80-watt wired fast charging to reduce the time spent connected to a wall outlet.

A 6.78-inch flat OLED panel serves as the primary display, offering a 1.5K resolution and a 120Hz refresh rate. Security features include an optical under-display fingerprint scanner embedded directly beneath the glass panel.

The camera configuration pairs a 50-megapixel front-facing sensor with a dual rear setup. The main rear camera captures images at 50 megapixels, assisted by a basic 2-megapixel secondary lens.

Oppo encased the device components inside a specialized polymer shell to ensure drop protection. Digital Chat Station specified on Weibo that the phone is:

"made of high polymer drop-resistant materials."

The choice of structural elements reveals the balancing act Oppo performed to hit an affordable price point. Industry analysts state that manufacturers face hard choices when building high-capacity battery phones, often scaling back other technical features to stay budget-friendly.

Oppo substituted high-end optics and premium aluminum casings for a lower-cost processor and plastic frame.

The handset will target an initial price of approximately 2,000 Chinese Yuan, which matches roughly 295 US Dollars. Retail availability will initially center on the domestic Chinese market before any potential regional rollout.

Bethesda Puts Fallout 5 in Preproduction and Confirms Remasters

2026-07-19T18:05:00.000-04:00

Bethesda Game Studios officially announced that Fallout 5 has entered preproduction as part of a development roadmap published on July 17, 2026. The multi-game plan details the immediate and long-range future of the studio's main franchises following weeks of industry changes. The studio released this public statement directly on its official website to outline its shifting internal priorities.

The studio clarified that The Elder Scrolls VI remains its main development target, with most of the team actively working on the sequel. Fallout 5 serves as a secondary, long-term project that will follow the next Elder Scrolls release. Engineers are constructing both upcoming titles using Creation Engine 3, a shared technology platform that allows the studio to support multiple titles simultaneously.

The studio detailed the distribution of its internal resources in the official statement:

"The Elder Scrolls VI is our primary development focus today, with the majority of our team currently working on the next chapter of the franchise...We're where we planned to be, loving how it looks, and playing it every day."
"Our teams are now developing The Elder Scrolls VI and Fallout 5 on Creation Engine 3, a shared technology platform we've been building since Starfield's launch,"
"It allows our teams to support multiple projects simultaneously with new tools, rendering, and systems that define our games."

Bethesda also confirmed the development of official remasters for Fallout 3 and Fallout: New Vegas. The studio is collaborating with Obsidian Entertainment, the original developer of New Vegas, on an entirely separate, unannounced Fallout project.

This arrangement returns Obsidian to the franchise for the first time since the 2010 release of the original game.

The announcement highlighted the studio's immediate focus on the series:

"Fallout is one of our biggest priorities today"
"While we're not announcing any dates today, we have been working on remasters for both Fallout 3 and Fallout: New Vegas."
"Fallout 5 remains our long-range destination, and we have multiple Fallout projects in active development right now."

The franchise update arrives less than two weeks after parent company Xbox announced job cuts across its gaming divisions.

The layoffs eliminated 3,200 positions, affecting staff at both Bethesda Game Studios and Obsidian Entertainment. The update addresses consumer questions regarding the studio's capacity following the workforce reduction.

Live-service support for Fallout 76 will continue with an expansion titled Raven Rock, which the studio scheduled for release in 2027. The expansion functions as a narrative prequel to the events of Fallout 3.

ZeniMax Online Studios will partner closely with Bethesda Game Studios to assist with the development of the broader Elder Scrolls franchise. Production on the third season of the live-action television adaptation by Amazon Studios is actively progressing following its recent award nominations.

Spain Wins 2026 World Cup Title With Extra-Time Goal Against Argentina

2026-07-19T16:28:00.000-04:00

EAST RUTHERFORD, New Jersey — Substitute forward Ferran Torres scored a volley in the 106th minute to give Spain a 1-0 victory over Argentina in the 2026 FIFA World Cup final on Sunday at MetLife Stadium. The victory earns Spain its second men's World Cup trophy and denies Argentina a consecutive global championship.

Credit: FIFA / X

Spain controlled the tempo of the entire match, keeping 67% of possession and outshooting Argentina 20 to 2. Argentina played the entire extra time period with 10 players after midfielder Enzo Fernández received a second yellow card in the 93rd minute for a late tackle on defender Pau Cubarsí.

The decisive play happened in the opening minute of the second half of extra time. Defender Pedro Porro sent a cross to the far post, where winger Nico Williams headed the ball down into the center of the penalty box. Torres ran onto the bouncing ball and used his left foot to hit a shot past Argentina goalkeeper Emiliano Martínez into the roof of the net.

Torres entered the match as a substitute in the 62nd minute and later described the winning moment to reporters.

"It was a goal scored by 47 million people,"

Torres said, referring to the population of Spain.

Argentina goalkeeper Emiliano Martínez stopped 12 shots during the match, setting a record for the most saves in a World Cup final. His most significant save occurred in the final seconds of normal time when he dove to his left to deflect a curling 22-yard free kick from Spain winger Lamine Yamal.

Spain created multiple goal-scoring opportunities throughout the first 90 minutes but could not get the ball past Martínez. Dani Olmo set up Yamal for a low shot in the fifth minute, and Mikel Oyarzabal forced another save from Martínez right before halftime. Argentina did not record a single shot during regulation time and struggled to pass the ball into the Spanish half of the field.

Argentina captain Lionel Messi played the full match in what was his final career World Cup appearance. Messi finished the 2026 tournament with eight goals and four assists, but he rarely received the ball in attacking areas during the final match. Argentina had a final opportunity to equalize in the 120th minute when Giuliano Simeone shot over the crossbar following a Messi corner kick.

Congratulations to Spain, @FIFAWorldCup 2026 winners! 👏🇪🇸 pic.twitter.com/YjMqpcndR0
— FIFA (@FIFAcom) July 19, 2026

The tournament ended with several individual awards for the Spanish team. Midfielder Rodri won the Golden Ball award as the best player of the tournament, and Unai Simón received the Golden Glove award as the top goalkeeper. Cubarsí won the Young Player of the Tournament award.

Spain set a defensive record by conceding only one goal throughout the entire month-long tournament. The win makes Spain the first nation to hold both the men's and women's World Cup titles at the same time.

Credit: FIFA / X

Following the final whistle, referee Slavko Vincic showed a red card to Argentina midfielder Leandro Paredes for an altercation on the field. The Argentina team fell short of its goal to become the first country to win back-to-back World Cups since Brazil achieved the feat in 1958 and 1962. US President Donald Trump presented the trophy to the Spanish team during the post-match ceremony on the pitch.

Saving Trapped Kitten in Tree (3 Steps + Complete Guide)

2026-07-17T16:42:00.000-04:00

You hear the frantic meowing before you see them. A tiny face peers down from a branch that looks impossibly high, and your stomach drops. Your kitten is stuck in a tree, and every instinct screams at you to climb up right now and bring them down.

That instinct is exactly what gets people hurt. And in many cases, it makes the situation worse.

Before you grab a ladder or call 911, you need to understand something critical: cats don't get stuck in trees the way we think they do.

Their anatomy makes climbing up effortless and climbing down a genuine challenge.

This guide walks you through exactly what to do, when to do it, and who to call when you can't resolve it yourself.

We’re not just cat lovers sharing what we know; we’ve gathered the latest info from all over the United States from vets, rescue organizations, and the tree experts who save them every day and that's how we are confident that this guide will help you know everything about saving a trapped kitten in a tree:

Why Cats Get Stuck in Trees in the First Place?

Understanding why your cat ended up in that tree is more than academic curiosity. It directly affects how you should approach the rescue.

The Anatomy Problem

A cat's claws are curved and hook-like, perfectly designed for pulling them upward. They can scramble up a trunk in seconds.

Coming down is a different story.

To descend, a cat has to back down the tree, engaging and disengaging their claws one at a time while moving backward.

Unlike squirrels, cats can't rotate their wrists to face downward.

They have to reverse their entire body orientation, which is awkward, slow, and requires a level of coordination many cats simply haven't practiced enough.

The Fear Factor

Even if a cat physically can climb down, fear often keeps them pinned to that branch.

A cat that climbed the tree to escape a dog, a coyote, or a sudden noise isn't going to come down until they feel safe on the ground.

That usually means waiting for dawn or dusk, when they feel the environment is secure. The cat isn't necessarily "stuck" in the physical sense. They're making a calculated decision to stay put until the perceived threat passes.

The Kitten Factor

Kittens are especially vulnerable to this problem. They have the same claw anatomy but less experience and weaker muscles.

A kitten that scurries up a tree out of curiosity or fear may simply lack the physical strength or coordination to reverse the climb.

Their smaller size also means they lose body heat faster and dehydrate more quickly. Time matters more with kittens than with adult cats.

First Things First: Don't Panic. Seriously.

Panic is contagious. Cats read your emotional state with unsettling accuracy.

If you're frantic, your cat interprets that as confirmation that the situation is dangerous.

Take a breath.

Step back from the tree.

Assess the situation with a clear head.

Step-by-Step Rescue Protocol

Work through these 3 simple steps in order. Each step is designed to minimize stress for the cat and maximize safety for everyone involved.

Step 1: Wait and Watch (The First 24 Hours)

This sounds counterintuitive, but it's the advice most professional rescuers give first.

Patrick Brandt of Piedmont Tree Climbing, who regularly retrieves stranded cats, says people often panic unnecessarily because they can't reach their cat immediately.

The 24-hour rule is standard practice among many rescue professionals.

A healthy cat can survive in a tree for up to 24 hours without serious risk, provided they have access to water from rain or dew.

Here's what you do during this waiting period:

Remove all threats from the area. Lock away any dogs, both yours and the neighbors'. Keep children and noisy onlookers away from the base of the tree.
Place strongly scented food at the base. Tuna, sardines, or warm canned cat food are excellent choices.
Call the cat in a calm, normal voice. Use their name and any familiar sounds, like the shake of a treat bag.
Walk away. This is the hardest part. Cats often refuse to come down when people are watching because they feel exposed. Give them space and time to feel safe enough to descend on their own.

This is the first step, we can't just stop here.

When to skip the waiting period: If the cat is a young kitten, if the weather is extreme (freezing temperatures, heavy rain, or intense heat), or if the cat is showing clear signs of distress or injury, don't wait.

Move to the next steps.

Step 2: Try Gentle Persuasion

If the cat hasn't come down after several hours, you can attempt these low-risk luring techniques.

The Food Trail Method

Smear a small amount of strongly scented food on the trunk and lower branches to create a scent trail leading downward. Place a larger bowl of food at the base. The idea is to guide the cat's nose toward the path of escape.

The Ladder Assist

Lean a sturdy extension ladder against the trunk near the cat's position. Don't climb it yourself unless you're absolutely certain of your balance and the ladder's stability. Instead, leave the ladder in place and give the cat time to use it as a bridge down. Some cats will instinctively use a ladder as an easier descent route.

The Laser Pointer Trick

For cats that are playful rather than terrified, a laser pointer can be remarkably effective. Shine the beam on the trunk below the cat's branch and slowly move it downward. The cat's hunting instinct can override their fear, leading them to follow the light down the tree. Avoid shining the laser directly in the cat's eyes.

What doesn't work: Throwing objects at the tree, shaking branches, or making loud noises. These tactics drive the cat higher, not lower.

Step 3: Assess Whether You Can Safely Climb

If luring fails and the cat is within reach of a properly secured ladder, you have the option of climbing to retrieve them. This is where most mistakes happen.

Before you climb:

Ensure the ladder has a level base. If you're setting up on dirt, pack the earth to make it even and stable.
Secure the top of the ladder against the trunk so it can't slip sideways-.
Wear thick gloves and long sleeves. A scared cat in a tree is not their usual friendly self. They will scratch and bite out of fear.
Have someone spot you from the ground.
Never climb higher than you're comfortable with. A fall from a tree can be fatal. Professionals have the training and equipment for a reason.

Once you reach the cat:

Move slowly and speak softly.
If the cat allows it, gently lift them, supporting their body weight securely.
Place them in a carrier or a secure bag before descending. A cat that panics mid-descent can squirm free and fall.
Use a rescue pole with a net or platform if you have one. One experienced rescuer with over 8,000 rescues under his belt describes using a "pizza paddle" technique: folding a net over an extendable pole to create a platform the cat can walk onto.

When to stop and call a professional: If the cat is beyond ladder reach, if the branches are too thin to support weight, if there are power lines nearby, or if you feel unsafe at any point.

Who to Call When You Can't Get Them Down?

The old trope of calling the fire department is mostly fiction. Most fire departments do not respond to cats in trees.

Their resources are reserved for emergencies involving human life or property. Many municipalities have explicit policies stating they will not rescue cats from trees.

So who does handle these rescues?

Animal Control

Local animal control officers are often the first and best call. They have the training and equipment to handle animal rescues and are generally equipped to assess whether the situation is an emergency.

Professional Arborists and Tree Services

This is the hidden backbone of cat tree rescues. Arborists are professional tree climbers with the ropes, harnesses, and expertise to reach heights that would be dangerous for untrained individuals.

Organizations like Canopy Cat Rescue in Washington state specialize exclusively in feline tree rescues. Co-founded by Tom Otto, this nonprofit rescues more than 800 cats per year and has been operating for over 16 years. They and similar services often operate at no charge, funded by donations.

How to find one:

Search for "cat in tree rescue" plus your city or region.
Check with your local humane society. The Oregon Humane Society maintains a list of arborists who perform cat rescues.
Post on community social media pages like Nextdoor or Facebook. Many rescues are coordinated through these platforms.
Ask for recommendations from local veterinarians or pet stores.

What to Expect from a Professional Rescue?

Professional rescuers don't just climb and grab. They read the cat's body language, talk to the owner about the cat's personality and history, and develop a strategy before they ever leave the ground.

Shaun Sears of Canopy Cat Rescue describes rescues that require climbing, unconventional tools like "pizza paddle" nets, and patient coaxing. Tom Otto notes that climbing the tree is sometimes the easy part; understanding cat behavior is what makes the rescue successful.

Cost: Many arborists and nonprofits offer this service for free as a community service. Others may charge a fee, which is typically far less than an emergency vet visit or a hospital bill from a fall. Always confirm the cost before they arrive.

Rescue Stories: What Actually Happens in the Real World

Real kitten rescues are rarely as simple as the cartoons suggest.

In Totnes, Devon, a cat named Fizzy spent days in a tree before a tree surgeon eventually rescued her from a height of 12 to 15 meters (39 to 49 feet). Firefighters had tried and failed.

In Bury St Edmunds, a family's cat went missing for a week before being rescued from a tree by JPM Tree Services-. The cat had been stuck the entire time.

A cat named Chleo spent eight days trapped nearly 50 feet up in a Connecticut tree before a tree service owner used a 92-foot spider lift to reach her. Fire crews had been unable to safely position their equipment. When Chleo finally came down, neighbors erupted in applause.

In the Pacific Northwest, arborists regularly rescue cats from Douglas firs that can reach heights over 300 feet. These aren't simple ladder jobs. They're technical climbs requiring specialized gear.

The takeaway: If you're struggling to get your cat down, you're not alone. Professional rescuers handle these situations regularly, and they have the tools and experience to do it safely.

How Long Can a Cat Survive in a Tree?

This is the question that keeps owners up at night.

The short answer: Cats can survive in trees for surprisingly long periods. Rescuers have documented cats surviving over two weeks in trees. One rescuer reported a cat surviving 13 days in rain, snow, and freezing temperatures.

The longer answer: Survival time depends on several factors.

Factor	Impact
Access to water	Dew, rain, or moisture on leaves can sustain a cat for days
Temperature	Extreme heat or cold speeds up dehydration and hypothermia
Age and health	Kittens and senior cats are more vulnerable
Fear level	A panicked cat burns energy faster and may not drink or rest

The general rule of thumb is 3 days without water and 3 weeks without food, but these are absolute extremes.

A cat left in a tree for more than 24 hours without intervention is at increasing risk of dehydration, starvation, hypothermia, or injury from a fall.

Don't use this as an excuse to delay. Survival is possible, but it's not guaranteed.

The sooner you act, the better the outcome.

Preventing Future Tree Escapades

Once your cat is safely on the ground, you'll want to make sure this never happens again.

Collar Safety First

If your cat climbs trees, a breakaway collar is non-negotiable. Standard collars can snag on branches and strangle the cat or trap them in the tree. Breakaway collars release under pressure, allowing the cat to escape if the collar catches.

Limit Outdoor Access

The most effective prevention is keeping cats indoors. Outdoor cats face countless dangers beyond trees: predators, traffic, toxins, and disease. If your cat needs outdoor time, consider a catio, a secure outdoor enclosure, or leash training.

Provide Vertical Alternatives

Cats climb because they're wired to seek high vantage points. Give them safe alternatives. Tall cat trees, wall-mounted shelves, and window perches satisfy their climbing instinct without the risks of a 50-foot oak.

The Bottom Line

A cat in a tree is stressful, but it's rarely the emergency it feels like in the moment.

You have options. Start with patience and luring. Move to a ladder only if it's safe and the cat is within reach. Call animal control or a professional arborist when the situation exceeds your comfort level.

And remember: the fire department is probably not coming.

The rescue professionals who do this work every day have seen it all. They've retrieved cats from 300-foot trees, cats stuck for weeks, cats so frightened they wouldn't move for anyone. They know the techniques, the equipment, and the cat psychology that makes these rescues possible.

Your job is simple: stay calm, make smart calls, and get the right help when you need it. Your cat will be back on solid ground before you know it.

Google Teases Pixel 11 and Confirms August 12 Unveiling

2026-07-17T13:09:00.000-04:00

Google published its first official promotional video and launched a store landing page for its upcoming phone line. The company scheduled its next hardware event for August 12, 2026, in New York City.

Credit: Google

The promotional materials highlight a new integrated hardware element called Pixel Glow. The teaser video shows a circular LED ring positioned next to the rear camera lenses that cycles through multiple colors. Early technical analysis suggests this component functions as a multi-colored notification indicator and a visual cue for artificial intelligence features.

Google explicitly named the upcoming devices on its corporate storefront:

"The next generation. Google Pixel 11. August 12,"

An official calendar invitation provides further scheduling and theme details:

"Tune in to Made By Google on August 12 at 6 pm ET / 3 pm PT to learn the latest news and updates, from Gemini Intelligence to the new lineup of Google Pixel"

The corporate broadcast will begin at 6 p.m. Eastern Time.

Credit: Google

Pre-orders for the entire lineup will open immediately after the presentation wraps up. US buyers who register for promotional emails before August 7 will receive a discount code for unlocked models.

Industry trackers expect the company to introduce four smartphones during the keynote. The anticipated roster consists of the standard Pixel 11, the Pixel 11 Pro, the larger Pro XL, and a folding model named the Pro Fold.

Leaked specifications from retail listings indicate that Google is dropping the 128-gigabyte base model. Every option in the line will start with a minimum of 256 gigabytes of internal storage.

The internal upgrades include a shift in processing architecture.

Supply chain reports indicate the devices will run on a Tensor G6 chip manufactured using TSMC’s 2-nanometer process.

Google is also replacing its previous cellular hardware with a new MediaTek M90 modem to improve wireless network efficiency.

The expanded storage and updated processors could impact consumer costs. Leaked European retail details suggest a price increase of roughly 100 Euros, which translates to an estimated 114-dollar hike in the United States.

Retail leaks price the base model of the Pixel 11 Pro at 1,099 dollars. The premium Pro Fold could reach 1,899 dollars.

The physical appearance of the slab-style phones remains largely identical to previous generations, featuring a flat display and a horizontal camera bar across the back.

The teaser confirms a new gold color variant for the Pro model. The folding model features an updated, narrower camera island with rearranged sensors and a larger flash unit.

Google has not verified any pricing data, chip architectures, or storage changes before the formal event.

How to Extract Tags from a YouTube Video

2026-07-17T12:03:00.000-04:00

YouTube tags are descriptive keywords added to a video’s metadata. They provide YouTube with additional context about the video’s subject, possible search terms, alternative wording, and commonly misspelled phrases.

From my experience working with SEO and content optimization, tags are most useful as a supporting metadata element. They should not replace a strong title, thumbnail, description, or well-structured video. YouTube itself states that titles, thumbnails, and descriptions are more important for video discovery, while tags generally play a minimal role except when a topic or name is commonly misspelled.

Nevertheless, extracting tags from successful videos can help you:

Understand how competitors describe a topic.
Discover alternative keyword variations.
Find common abbreviations and misspellings.
Identify terms you may have overlooked.
Compare the metadata strategies of similar videos.
Build a more complete keyword list for your video.

How to Find the Tags of a YouTube Video

YouTube does not normally display video tags on the public video page. If you own the video, you can open YouTube Studio, select the video, expand its settings, and view the tags that were added during uploading.

Finding the tags of another channel’s video is less convenient. You can attempt to inspect the page source or search through its metadata, but this method is unnecessarily technical and may not work consistently as YouTube changes its page structure.

A YouTube tag extractor provides a much simpler option. You paste a public video URL into the tool, and it retrieves the available metadata tags for you.

How to Extract Tags with Optofriend

The fastest method is to use the free extract YouTube video tags tool from Optofriend.

Follow these steps:

Open the Optofriend YouTube Video Tag Extractor.
Copy the URL of a public YouTube video.
Paste the URL into the input field.
Click Extract Tags.
Review the tags found in the video’s metadata.
Copy individual tags or copy the complete list.
Compare the extracted terms with your own keyword research.

Optofriend retrieves the video’s hidden metadata tags and lets users copy them individually or together. The tool also includes a comparison option for analyzing two videos side by side and identifying differences between their tag sets.

When researching a topic, I recommend extracting tags from several relevant videos rather than relying on one competitor. Analyze videos that:

Rank highly for your target search query.
Cover the same search intent as your video.
Have strong engagement relative to channel size.
Were published recently enough to reflect current terminology.
Target the same audience, language, and geographic market.

This produces a more reliable keyword pool and reduces the risk of copying an irrelevant or poorly optimized tag list.

What Is Optofriend?

Optofriend is being developed as a complete YouTube optimization suite for creators and teams. The full platform is currently available through a waitlist, although its standalone free tools, including the tag extractor, can already be used.

The planned suite goes beyond extracting tags. Optofriend is designed to support:

YouTube title and description generation.
Keyword research and keyword clustering.
Competitor and outlier-video research.
Transcript extraction.
Chapter and hashtag generation.
Channel analytics.
Channel audits.
Content and optimization recommendations.

The platform is intended to combine information from video transcripts, live keyword data, competitor research, trends, and channel performance. Its goal is to help creators move from a video idea or transcript to publish-ready metadata without switching between several separate optimization tools.

How to Use Extracted YouTube Tags

Extracting tags is only the first step. You should not copy every tag from another video without checking its relevance.

Build a Focused Tag List

Start with the phrase that most accurately describes your video. Then add closely related variations.

For example, a video about editing YouTube Shorts might use:

YouTube Shorts editing
How to edit YouTube Shorts
Edit Shorts on phone
YouTube Shorts tutorial
Shorts editing tips
YouTube short video editor

You can also include:

Common misspellings.
Abbreviations.
Product or software names mentioned in the video.
Longer variations of the main keyword.
Closely related secondary topics.

Avoid adding unrelated high-volume keywords merely because they appear in a popular competitor’s tags. Tags should accurately represent the content of your video.

Use Tags as Research Data

I find tag extraction particularly valuable for competitor research. A competitor’s tags can reveal how they categorize a video, but those terms should also be evaluated against:

The wording used in the video title.
Topics covered in the description.
Search suggestions on YouTube.
Relevant keyword-volume data.
The actual content and search intent of your video.

You can then use the best terms not only as tags but also as ideas for titles, descriptions, chapters, spoken phrases, and future videos.

Why YouTube Tags Still Matter

Tags are not a primary YouTube ranking factor, and adding more tags does not automatically generate more views. YouTube officially emphasizes that the title, thumbnail, and description are more important discovery elements. Tags are primarily useful for additional context and commonly misspelled terms.

However, tags can still improve the completeness and consistency of your metadata. They are especially helpful when your video includes:

Names that viewers frequently misspell.
Technical terminology.
Abbreviations or acronyms.
Product model numbers.
Words with several accepted spellings.
Topics that can be described in multiple ways.

Tools such as Optofriend and other YouTube tag extractors make the research process faster. Instead of manually inspecting videos, you can collect competitor tags, compare multiple videos, remove irrelevant terms, and create a focused list that accurately supports your content.

The best approach is to treat tags as one component of a broader YouTube optimization strategy. Start with a valuable video, create a compelling title and thumbnail, write a useful description, and then use extracted tags to strengthen the metadata around the content.

Why a Coworking Space in Manila Drives Credibility for Scaling Teams

2026-07-17T11:10:00.000-04:00

High deposit requirements and rising commercial rental fees in major cities force agile companies to separate corporate prestige from massive physical footprints. Establishing a base in Manila shows a clear example of how modern firms remain competitive by staying lean, flexible, and credible in a major business hub.

This blog examines how shared workspace models build immediate trust, examining address prestige, operating cost control, premium infrastructure, concierge support, professional networking, and long-term workplace agility. Choosing a clever operational baseline helps your business compete right away.

Evaluating the Strategic Benefits of a Coworking Space in Manila

Aligning your company with an elite commercial environment changes how stakeholders evaluate your operational maturity, balance sheet discipline, and long-term market seriousness.

Preserving Capital by Avoiding Heavy Lease Commitments

Traditional office leases often demand large deposits, renovation budgets, furniture purchases, utility setup, and long contractual exposure. You spend capital before your team starts producing results. This weakens your balance sheet during the exact stage when cash discipline matters most.

A coworking space in Manila helps you reduce that pressure. You use a business-ready workplace with flexible access instead of funding every operational layer yourself. You do not have to worry about initial fit-out work, separate vendor coordination, or unused office rooms draining your overhead.

Clients and stakeholders read this decision as financial intelligence. They see that your company protects capital while still maintaining a premium commercial presence. This balance matters when you want to grow without appearing under-resourced or overextended.

You stay agile when your workspace can adjust with team size, project demand, and market timing.

Deploying Premium Infrastructure Without Internal Build-Out Delays

A high-performing workplace needs more than chairs and internet. You need reliable connectivity, comfortable workstations, private areas, meeting access, shared lounges, and operational systems that work perfectly the first time. Weak infrastructure slows decisions and damages client confidence.

Ayala Triangle Gardens Tower 2 supports hot desk, dedicated desk, private office, virtual office, meeting room, event space, and business concierge requirements from one location. This range helps you choose the right workspace format for your current operating stage. You can start lean and add more structure as your company grows.

Clients notice when your meeting environment feels organized. A professional room, stable connection, and premium setting help serious conversations move forward without avoidable interruptions. It shows stakeholders that your company respects their time.

This infrastructure helps you operate like a larger organization without building a full workplace from scratch.

Strengthening Client Interaction Through Meeting Room Readiness

Important conversations need a controlled setting. You cannot build trust easily when you discuss contracts, hiring, strategy, or funding in noisy public places. A proper meeting room gives you privacy, clarity, and a stronger executive impression.

A coworking space with access to meeting rooms helps you handle client sessions, interviews, board discussions, project reviews, and partner presentations. You use the right room when you need it. You do not have to maintain permanent boardroom space that sits empty for most of the month.

Clients feel more confident when your meeting environment supports the seriousness of the conversation. They walk into a professional setting, see a clear standard, and understand that your company values order and preparation.

This meeting capability turns a flexible workspace into a client-facing business asset.

Activating Concierge Support and Front-Desk Professionalism

Office operations can consume more attention than you expect. Visitors need greeting, calls need direction, mail needs handling, rooms need preparation, and technical issues need quick support. These tasks look small, but they can pull your team away from core commercial work.

A managed workspace gives you front-desk reception, expert IT assistance, business support, and hospitality-led service inside a premium setting. A Barista Bar, refined shared areas, and professional on-site support improve the workday for both your team and your guests.

This support allows a small team to present itself with the polish of a larger corporation. You do not have to hire internal staff for every reception, facility, or workplace function. You gain peace of mind because the environment already supports daily business needs.

It shows clients that your company operates with control, care, and consistency.

Building Cross-Industry Proximity Through Shared Professional Space

Working alone can reduce your exposure to market signals. A shared office environment places you near professionals from different sectors, including finance, legal, technology, consulting, creative, real estate, and corporate services. This proximity can create useful conversations during an ordinary workday.

You build connections when you share lounges, attend professional events, or meet people through the workspace ecosystem. A simple exchange can become a referral, supplier relationship, client lead, or strategic introduction. This kind of networking feels natural because people already work in a business-focused environment.

Your team also benefits from the energy of a serious professional hub. Remote work can feel efficient, but it can also narrow ambition and reduce daily momentum. A premium coworking environment gives you independence without isolation.

This community layer helps you stay visible in Manila’s commercial network.

Scaling Workplace Footprint Without Sacrificing Control

Growth does not always follow a straight line. You may need a hot desk this month, a dedicated desk next quarter, a private office after a new contract, or a virtual office while entering the market carefully. A rigid lease makes these changes harder.

A flexible workspace model helps you scale your footprint around real demand. You can use coworking access for daily work, meeting rooms for client engagement, virtual office services for business presence, and private offices when confidentiality becomes more important.

This flexibility protects your company from overleasing. You do not have to guess future headcount too early. You can respond to hiring, project cycles, travel needs, and client volume with more accuracy.

You gain operational control when your workspace grows with your business instead of limiting it.

Conclusion

The future of work belongs to companies that can combine prestige with agility. Choosing a coworking space in Manila prepares your business for stronger client perception, better capital discipline, and faster market response from a premium commercial setting.

You protect your capital, reduce overhead, strengthen trust, and give your team a professional hub. You gain flexibility without losing authority. True growth comes from staying light while looking dependable.

Why are Flats in Kanakapura Road Gaining Popularity Among Nature Lovers?

2026-07-17T10:49:00.000-04:00

Kanakapura Road has steadily become one of Bangalore’s most preferred residential destinations, especially for those looking to stay closer to nature. With its green surroundings, open landscapes, and relatively lower congestion, it offers a quieter alternative to the city's dense core. The presence of hills, forest stretches, and cleaner air adds to its appeal, making everyday living feel more relaxed and balanced.

Let’s explore why there has been a growing demand for flats in Kanakapura Road.

What Makes Flats in Kanakpura Road Stand Out for Nature Lovers

Below are the key lifestyle elements that are driving the popularity of this region among modern homebuyers.

1. Green Living and Nature‑inspired Landscapes

A major highlight of Kanakapura Road is its strong focus on greenery. Residential communities here often include spaces like palm tree plazas, stepped floral gardens, koi ponds, and lily ponds that create a refreshing atmosphere within the project.

Features such as forest walkways, hammock gardens, and elevated walkways allow residents to stay connected with nature even within their daily routine. These thoughtfully designed areas help reduce stress and provide a natural break from busy schedules.

When evaluating flats in Kanakapura Road, it is important to check how well such landscaping is maintained. A well-executed project ensures these green spaces remain vibrant and usable over time.

2. Wellness and Mindfulness Spaces

Living close to nature often goes hand in hand with better well-being. Many developments include yoga decks, meditation pavilions, and reflexology pathways, offering dedicated spaces for relaxation.

These areas create opportunities to build daily habits that support both physical and mental health. Before finalising a home, observe how these spaces are placed within the community. Easy access and a quiet setting are key to making them truly effective.

3. Active Outdoor Lifestyle Amenities

Nature-inspired living encourages movement. Communities often feature jogging and cycling tracks, outdoor gyms, and multipurpose courts that blend fitness with open surroundings.

These amenities help residents stay active while enjoying fresh air and greenery. The presence of well-designed outdoor spaces makes it easier to maintain a consistent routine without relying entirely on indoor facilities.

4. Adventure and Exploration Zones

One of the unique aspects of living in this area is the availability of engaging outdoor features. Facilities such as rock climbing walls, forest adventurous zones, and tree houses bring a sense of exploration to everyday life.

These elements are especially appealing to families and individuals who enjoy interactive outdoor experiences. They break the monotony of routine living and make communities more dynamic.

5. Family-friendly Outdoor Play Areas

Kanakapura Road developments are well-suited for families, particularly those who want children to grow up in a healthier environment. Amenities like kids play areas, children’s play spaces, sand pits, tot lots, and trampolines provide safe outdoor zones for activity.

These spaces encourage movement, creativity, and social interaction. Instead of spending time indoors, children get access to open areas where they can explore freely.

For families comparing flats in kanakapura road with other options, checking the placement and safety of these play areas becomes an important step.

6. Social Spaces in Natural Settings

A strong sense of community is another advantage of these projects. Features like amphitheatres, pavilions, party lawns, and barbeque zones offer opportunities for social interaction without leaving the outdoor environment.

These spaces allow residents to gather, celebrate, and connect while still enjoying nature. They add a layer of comfort to everyday living by creating areas for shared experiences.

When reviewing a property, consider how these spaces are integrated. Good planning ensures they are accessible but not intrusive to private living areas.

7. Quiet Corners for Relaxation

Equally important are the quieter spaces within the community. Viewing decks, seating galleries, terrain seating, and elevated walkways provide peaceful corners for unwinding.

These areas allow residents to step away from activity and enjoy calm surroundings. Whether it is a short break during the day or time to relax in the evening, such features contribute to a more balanced lifestyle. Such features can make a meaningful difference in long-term lifestyle quality, for buyers considering a 3 or 2 BHK house for sale in Bangalore.

Start Your Journey to Better Living

The growing popularity of flats in Kanakapura Road is closely linked to the lifestyle they offer. From green landscapes and wellness zones to outdoor activities and peaceful corners, these developments create a living experience that feels both balanced and sustainable.

For buyers exploring houses in Bangalore, this location presents a compelling combination of comfort and nature. It allows residents to enjoy the benefits of city connectivity without giving up on space, greenery, and well-being. Builders like Casagrand highlight how careful planning, quality execution, and a focus on lifestyle can create homes that truly align with modern, nature-oriented living.

Publix Shuts Multiple Supermarkets Across Southeast

2026-07-17T09:17:34.967-04:00

Publix Super Markets permanently shut down its fifty-year-old Palm Bay Center store in Florida on July 11 as part of a multi-state network adjustment. Crews will demolish the building at 4711 Babcock Street Northeast and build a modern supermarket in its place. The company operates more than 1,440 locations across eight states but continues to systematically prune older or underperforming facilities.

The Palm Bay closure follows several other shutdowns that occurred earlier this year. Publix closed its Eagles Park Retail Center location in St. Petersburg in March and its Palms at Town and Country store in Miami in January. Two Georgia outlets in Atlanta and Chamblee also shut down right before the start of the year.

Regular shoppers at the Palm Bay facility now travel to alternative locations within a six-mile radius. Nearby options include stores at the Melbourne Shopping Center and West Melbourne's Windover Square. Local authorities approve these demolition projects to accommodate updated building designs.

A second redevelopment project will replace an older store at 208 Saint James Avenue in Goose Creek, South Carolina. The grocery chain shifts resources to properties with larger footprints, updated layouts, and expanded digital fulfillment capabilities. Company filings explicitly detail the financial logic behind these operational decisions.

In its official corporate filings, Publix explained that the business regularly:

"replaces supermarkets and closes supermarkets that are not meeting performance expectations."

The newly built supermarkets feature expanded departments and advanced curbside pickup stations. These amenities target changing shopper preferences as online order volume grows. Older facilities frequently lack the physical space required for modern distribution tasks.

During 2025, Publix opened 52 stores, which included 13 replacement buildings. The company also completed 89 store remodels and permanently closed 10 locations during that same period. Six of those previous closures turned into on-site reconstruction projects.

During the first quarter, the Florida-based retailer recorded 16.1 billion dollars in net sales, which equals a two percent increase compared to the previous year. Net earnings fell 21.5% to 794 million dollars, which the company blamed on market losses from investments. Core grocery sales remain steady across the region even as physical operations adjust.

Rising labor costs, transportation expenses, and intense competition from larger retail chains force grocers to reevaluate their physical footprints. Walmart currently controls 21% of the United States grocery market, and Kroger holds 8.5%. Online shopping options also draw consumers away from traditional physical storefronts.

Publix opened 18 new supermarkets this year to maintain its overall market presence. Recent openings include new properties in Naples, Florida, and Cold Spring, Kentucky. The brand maintains its heaviest concentration in Florida, where nearly 900 stores continue daily operations.

Stanford Finds Blocking Single Receptor Restores Youth in Mice

2026-07-17T03:29:17.207-04:00

Stanford Medicine researchers discovered that blocking a single pro-inflammatory receptor on specific immune cells reverses multi-organ aging in mice. The study, published in the journal Science, targets tissue-resident macrophages—immune cells that act as cellular clean-up crews. These cells lose their ability to clear expiring white blood cells as the body grows older, triggering systemic chronic inflammation.

The research team focused on the interaction between tissue-resident macrophages and neutrophils, which are short-lived immune cells. Under normal conditions, the body produces approximately 100 billion neutrophils each day to fight off infections. When these neutrophils reach the end of their lifespan, macrophages consume and digest them.

As mice and humans age, a hormone called prostaglandin E2 (PGE2) binds to a receptor named EP2 on the surface of macrophages. This constant binding disables the macrophages' ability to clear out dying neutrophils. The uncleared neutrophils then transition into an inflammatory state, releasing toxic chemicals that damage surrounding healthy tissues and accelerate organ aging.

Katrin Andreasson, a neurologist at Stanford University and senior author of the study, described the impact of these uncleared neutrophils:

"Senescent neutrophils are killing our tissues."

"Clearance of these cells is essential for preventing chronic inflammation."

The study team demonstrated a method to prevent this cellular decline, according to Andreasson:

"We've shown that when tissue-resident macrophages don't have EP2 on their surfaces anymore or when that receptor is plugged up by a drug, this decline [in macrophage performance] doesn't happen."

"We've been trying to figure out why we age," Andreasson said. "Now we know at least one big reason for it."

To test this pathway, the researchers genetically modified mice to lack the EP2 receptor exclusively on their tissue-resident macrophages once they reached old age. They compared these older modified mice, aged 23 to 25 months, to normal older mice and young adult mice. The genetically modified older mice showed lower inflammation levels across multiple major organs, including the brain, heart, liver, kidney, spleen, colon, and skeletal muscle.

These modified mice performed as well as young mice in tests measuring speed, balance, and grip strength. They also demonstrated sharper spatial memory and cognitive speeds, finding their way through mazes with the proficiency of young adult cohorts. Unmodified older mice struggled with physical performance and suffered from cognitive decline.

The researchers also tested an experimental drug that inhibits EP2 in normal, unmodified 22-month-old mice for two months. The drug treatment successfully lowered senescent neutrophil counts and restored the macrophages' ability to engulf and clear the aging cells. The treated older mice showed physical and cognitive improvements similar to the genetically modified mice.

To see if these findings apply to humans, the researchers analyzed databases of human liver tissues. The human data mirrored the mouse models, showing a build-up of neutrophils, increased neutrophil senescence, and high EP2 receptor activity in older and diseased livers. This suggests that targeting the same EP2 pathway could slow organ aging in humans.

Even with the positive results in mice, human therapies based on this discovery face obstacles. No approved drugs currently target the EP2 receptor specifically. Existing anti-inflammatory medications block PGE2 production globally, which can cause severe side effects because PGE2 performs beneficial functions in other parts of the body.

EP2 remains a difficult target because it regulates broader metabolic pathways in the body. The research team stated that developing a safe drug to inhibit EP2 without disrupting upstream biological processes requires more work before clinical trials in humans can begin.

Netflix Deploys Generative AI Across 300 Titles in Cost-Cutting Push

2026-07-16T17:14:00.000-04:00

Netflix revealed that production crews used generative artificial intelligence (AI) in approximately 300 of its titles this year. The company shared this metric in its second-quarter earnings letter to shareholders on Thursday.

The technology now functions as a regular part of the production pipeline rather than a small trial. Netflix reported that workflows involving generative AI stretched across every stage of development, including initial planning, pre-visualization, and final editing.

Most of the work took place during post-production to help adjust lighting, modify visual effects, and build crowd scenes.

The company detailed this strategy in a written update to its investors:

"Across the production lifecycle, from concept and pre-visualization through post and delivery, GenAI utilization by our creative partners is scaling quickly,"

"In 2026, GenAI workflows have been used in roughly 300 of our titles, with the largest concentration of work in post-production. We are increasingly leveraging these tools to deliver higher quality output more quickly and at a lower cost than traditional methods."

Three specific projects served as primary examples of the new workflow. These included the Indian crime series "Glory," the Brazilian sports miniseries "Brasil 70: A Saga do Tri," and the United States historical documentary series "The American Experiment".

Production teams used the software to build scenes that would normally exceed their budgets. They relied on algorithms to generate large crowds, historical battle sequences, and background shots that establish the setting of a show.

In the case of "The American Experiment," the production team generated 17 minutes of enhanced video using these systems. Netflix co-chief executive officer Ted Sarandos told investors during an earnings call that the work took half the typical time and cost half of conventional methods.

The heavy reliance on artificial intelligence comes as Netflix seeks to manage the growing cost of creating original programming. The company reported second-quarter revenue of $12.56 billion, which was a 13 percent increase from the previous year. That figure fell slightly short of the $12.58 billion that analysts expected, causing Netflix stock to drop after hours.

Netflix built much of its AI capacity through acquisitions and internal labs. In March, the company purchased InterPositive, an artificial intelligence startup co-founded by actor Ben Affleck, for $600 million.

InterPositive builds tools that work directly with filmed camera footage rather than generating video from written text prompts. This setup allows editors to automate tedious tasks and change the lighting of a scene without reshooting. Netflix combines this software with Eyeline, its special effects research group, and its internal animation studio.

Sarandos addressed growing concerns from actors and writers regarding job security and creative control. He insisted that the software serves to help human artists rather than replace them.

"We're broadly seeing that GenAI is starting to have an impact across hundreds of our productions. We're making higher quality output more quickly and efficiently than we could have using traditional methods,"

"We believe it takes great artists to make something great, and AI is not changing that. AI will give creatives better tools to bring their visions to life,"

"Movies are being made by people who make movies. AI provides them with better tools to make them even better."

The company expects its total content spending to rise by about 10 percent this year. This rate of growth remains higher than the average of the last five years but sits lower than the rapid spending increases seen over the past decade.

Moonshot AI Releases 2.8-Trillion-Parameter Kimi K3 Model

2026-07-16T16:25:00.000-04:00

On July 16, 2026, Beijing-based AI startup Moonshot AI unveiled Kimi K3, its latest large language model featuring 2.8 trillion total parameters. Backed by Chinese tech giants Alibaba and Tencent, the company claims the system is now the largest open-source AI model in the world.

The model relies on Mixture-of-Experts (MoE) architecture, activating 16 out of 896 experts to manage compute resources efficiently. It supports a 1-million-token context window and possesses native visual understanding capabilities to parse image files.

The visual below illustrates the scale and release of the Kimi K3 system, presenting the logo on a mobile phone interface.

Users should note the background typography showing "KIMI" alongside the network node visual, which symbolizes the model's new architecture designed to improve how information flows across long sequences. The graphical infinity-loop representation highlights the scaling push from Moonshot AI to challenge Western systems.

Moonshot AI has announced that it will release the full weights of the model to the public on July 27, 2026. In the interim, developers can access the system through the Kimi website or its API, which is compatible with standard OpenAI SDK structures.

Moonshot AI prices the API at three dollars per million input tokens and fifteen dollars per million output tokens, which makes it competitive with Western offerings. If users hit cache memory, the pricing drops to thirty cents per million input tokens.

Initial tests from third-party evaluators show strong results in coding, knowledge tasks, and logical reasoning. On the front-end development leaderboard hosted by Arena.ai, Kimi K3 ranked first, placing it above major US proprietary software systems.

Following the release, Arena Chief Executive Anastasios Angelopoulos expressed strong confidence in the system on the social platform X:

"This may be the single biggest release of the year, and marks the moment that [open-source software] Chinese models have surpassed U.S. models."

On the coding benchmark Code Arena, the system beat Anthropic's recently released Claude Fable 5 model. This achievement raises questions about the common belief that US artificial intelligence companies maintain a lead of several months over Chinese competitors.

Sriram Krishnan, former senior White House policy adviser on artificial intelligence, shared his perspective on X:

"Kimi k3 is a big moment with multiple implications for the entire industry,"

In its technical blog, Moonshot AI acknowledged that its model still lags behind the very best proprietary software in some areas.

"While its overall performance still trails the most powerful proprietary models, Claude Fable 5 and GPT 5.6 Sol, Kimi K3 demonstrated frontier-level performance across our evaluation suite, consistently outperforming other tested models."

The model uses new technical features called Kimi Delta Attention and Attention Residuals. Moonshot AI reports that these upgrades yield an approximate two-point-five times improvement in overall scaling efficiency compared to its previous Kimi K2 model.

Independent testing by the firm Artificial Analysis also placed Kimi K3 immediately behind leading proprietary options on its intelligence index.

The release comes amid growing national security debates in Washington over Chinese tech development, export controls, and "distillation"—the practice of training smaller models on outputs from larger, proprietary systems. Anthropic previously accused Moonshot AI and other Chinese companies of violating service rules by extracting Claude's capabilities.

As Chinese competitors like Zhipu AI and MiniMax release increasingly capable systems, the gap between US and Chinese artificial intelligence is narrowing. The upcoming public weights release on July 27 will likely allow global developers to host and run this 2.8-trillion-parameter system locally, avoiding costly cloud contracts.

Verizon Cuts 500 Corporate Jobs and Sells 274 Retail Stores

2026-07-16T13:31:00.000-04:00

Verizon Communications announced on Thursday that it will sell 274 of its company-owned retail stores and lay off approximately 500 corporate employees. The decision affects roughly 3,000 workers across retail and corporate divisions.

The retail store sale becomes effective on August 16, leaving the wireless carrier with about 1,000 corporate-owned locations. According to internal company documents reviewed by reporters, management plans to keep at least 1,000 company-owned stores for the next three years.

Six large franchise companies will purchase and operate the 274 divested stores as authorized Verizon retailers. The transition affects about 2,500 retail employees. Verizon representatives stated that during previous store sales, approximately 70 percent of affected retail workers took jobs with the incoming franchise operators.

The corporate job cuts represent the latest stage of an ongoing restructure under Chief Executive Officer Dan Schulman, who assumed the role in October.

Schulman replaced former CEO Hans Vestberg as the company seeks to streamline its operations. At the end of 2025, Verizon employed approximately 89,900 full-time workers.

In his initial address to employees upon taking the job last year, Schulman expressed his goals for the company's future. He wrote that he wanted to change the corporate culture:

"simpler, leaner, and scrappier"

He stated that the company must simplify its structure to compete effectively.

This latest round of cuts follows a series of workforce reductions. Last November, the carrier announced more than 13,000 job cuts and divested 179 retail stores. The company eliminated several hundred additional positions in May.

The restructuring comes during intense competition in the United States wireless market. Verizon, AT&T, and T-Mobile have spent heavily on device subsidies, plan discounts, and network equipment to attract and retain customers. To draw subscribers, Verizon recently introduced simplified plans, dropped activation and upgrade fees, and introduced a new loyalty program.

To address coverage gaps, Verizon, AT&T, and T-Mobile agreed in May to form a joint venture using satellite-based technologies.

Analysts suggest this joint venture serves as a defensive measure against satellite services like SpaceX's Starlink.

According to an internal note to employees, Verizon is working closely with the franchise owners who operate its 5,000 authorized outlets. The company wrote that it hopes:

“to elevate the experience in every one of their locations because we know how important they are to our overall customer experience.”

Company representatives clarified that the job eliminations do not stem from automation or artificial intelligence. Speaking to Fierce Network, Verizon spokesman Rich Young explained the strategy behind the corporate job cuts.

Young said:

"Our CEO is committed to transform and improve this company and put it on a strong footing going forward, and this is part of his plan"

All About Tucker Carlson's 4 Kids: Son Buckley, Daughters Hopie, Lillie and Dorothy

2026-07-16T10:37:39.619-04:00

The family of political commentator and media executive Tucker Carlson remains under public scrutiny as his four adult children establish independent careers in politics and private sectors. Public records and career placements outline the distinct paths chosen by Lillie, Buckley, Hopie, and Dorothy Carlson.

The children grew up in the Washington, D.C. area before the family relocated their primary residences to Florida and Maine following Carlson's departure from cable television. Carlson and his wife, Susan Andrews, maintain a strict boundary between his media persona and their children's upbringing.

Buckley Carlson, the only son, chose a direct path into federal politics. After graduating from the University of Virginia, he secured employment on Capitol Hill. He served as the communications director for US Representative Jim Banks, a Republican from Indiana.

Representative Banks spoke about the hiring choice during an interview with media outlets, stating:

"Buckley Carlson is a talented professional who earned his position through hard work."

This political role drew attention during federal funding debates when critics questioned the intersection of media influence and congressional staffing. Buckley Carlson continues to work within political communications and strategy networks.

Lillie Carlson, the eldest daughter, maintains a private profile focused on regional community activities. Public registration documents show her participation in southern equestrian events and local charitable causes. She avoids public political campaigns and media appearances.

Hopie Carlson also attended the University of Virginia, following the family educational tradition. Campus publications listed her involvement in student activities and athletics during her undergraduate years. She currently works in the private sector outside of the media industry.

Dorothy Carlson, the youngest daughter, completed her secondary education recently and keeps the lowest public profile of the siblings. Family members rarely feature her on public social media accounts, adhering to long-standing family privacy rules.

Tucker Carlson discussed his approach to family life and raising four children during an address at a media conference:

"My goal was always to shield my kids from the venom of public life so they could grow up to be normal people."

The siblings frequently gather at the family’s seasonal home in Bryant Pond, Maine, where local residents report they participate in community events without private security or media entourages. Property records confirm the family expanded their real estate holdings in both Maine and Florida to accommodate the growing extended family.

As Carlson expands his independent digital network, his children continue to separate their professional identities from their father's public brand.

How Tech Entrepreneurs Are Redefining Luxury Real Estate in Bangkok

2026-07-16T05:31:00.000-04:00

Bangkok has rapidly transformed from a popular tourist destination into a formidable regional hub for innovation and business.

In 2026, Thailand officially broke into the world's top 50 startup ecosystems, ranking 49th globally according to the Global Startup Ecosystem Index. This massive 62.6 percent ecosystem expansion over the previous year has drawn significant international venture capital.

Between 2022 and 2024 alone, early-stage Bangkok startups secured over $70 million in seed and Series A funding.

The city's strategic location in Southeast Asia, coupled with its relatively low cost of living compared to Western tech hubs, makes it an highly attractive base for scaling digital enterprises.

As a result, a new wave of tech entrepreneurs, founders, and remote executives is flocking to the city. These professionals are bringing with them distinct lifestyle preferences that are actively reshaping the local property market, driving new expectations for high-end urban living.

The Influx of Global Talent and Remote Executives

To support this booming tech landscape, the Thai government has introduced specialised initiatives and visa frameworks aimed directly at foreign professionals. The demand for long-term stays has skyrocketed, largely driven by policies that cater specifically to location-independent founders and remote workers. According to a recent report by IMI Daily, Thailand's Destination Thailand Visa programme drew over 35,000 applicants in its first year alone. This surge of expatriates is creating a profound ripple effect across the local economy. The impact is particularly visible in the high-end residential sector, as these incoming professionals seek accommodations that can support their fast-paced, tech-driven lifestyles.

What Founders Demand from Urban Living

The influx of wealthy expatriates has triggered a noticeable flight-to-quality trend in the Bangkok property market. According to CBRE Thailand's 2026 Real Estate Market Outlook, premium and super-luxury residential properties are experiencing robust demand, currently boasting a 93 percent sales rate for existing supply. When foreign executives relocate, their property searches are highly specific. An entrepreneur looking for a Bangkok luxury condo for rent is no longer just seeking a prestigious address or a scenic city view. Instead, they require properties that seamlessly blend high-grade building infrastructure with advanced lifestyle amenities. This intense competition for prime urban locations is projected to push average asking prices in the downtown premium market up by as much as 15 percent year-over-year in 2026, driven almost entirely by the demand for modern, tech-enabled living spaces.

High-Tech Amenities and Smart Home Integration

To meet the expectations of environmentally conscious tech founders and tech-savvy executives, property developers are rapidly upgrading their residential offerings. Traditional luxury is being replaced by digital convenience and sustainable innovation. Modern ultra-luxury condominium projects across Bangkok are now incorporating a range of advanced features to attract these high-net-worth individuals who view their homes as extensions of their businesses.

Key features driving this new era of luxury real estate include:

Centralised IoT Management: Residents can optimise lighting, climate, and security directly from their smartphones or AI assistants, giving them total control over their environment.
Advanced Access Control: Biometric access, digital credentials, and facial recognition entry systems are rapidly replacing traditional keycards to offer frictionless and highly secure entry.
AI-Driven Climate Systems: Automated energy monitoring and intelligent climate control help reduce urban carbon footprints while maintaining optimal indoor comfort.
Health and Wellness Tech: The integration of hospital-grade air purification systems ensures a pristine living environment in the heart of the bustling city.

Optimising the Home Workspace for Peak Performance

Because many of these international founders operate across multiple time zones, the line between home and office is increasingly blurred. Developers are responding by incorporating advanced productivity amenities directly into building designs. Premium apartments now frequently feature soundproof workspaces and dedicated high-speed fibre optic networks tailored for remote executive tasks.

When setting up a home office in one of these high-end buildings, executives must consider integrating essential workplace solutions for improving productivity to ensure their remote environment maximises focus and systemic efficiency. By combining smart building infrastructure with highly functional workspace setups, founders can maintain peak performance without ever leaving their residential complex.

The convergence of a thriving startup ecosystem and progressive visa policies has firmly established Bangkok as a top destination for global tech talent. As these founders and executives continue to settle in the Thai capital, their preference for smart, tech-enabled living spaces will undoubtedly dictate the future of the city's premium property market. Developers who can successfully anticipate and deliver on these evolving demands will secure a significant competitive advantage in one of Southeast Asia's most dynamic real estate sectors.

Banana Pro AI Image Generation with Pixomi AI: A Use-Case Deep Dive for Social Media Managers

2026-07-16T04:18:00.000-04:00

Client feedback loops on visual content can drag a single campaign graphic through five or six rounds of revisions before it's approved, eating hours that should go toward strategy instead of re-editing the same banner. For social media managers juggling multiple brand accounts, this back-and-forth with designers often means missed posting windows and frustrated clients. Banana Pro AI addresses this directly through Pixomi AI's AI Image Generation feature, which lets teams produce and adjust visuals in-house without waiting on external design cycles.

What Is AI Image Generation?

AI Image Generation refers to producing visuals either from a written text prompt or by transforming an existing photo, rather than manually designing each asset from scratch. On Pixomi AI, this feature sits at the core of the platform and offers both text-to-image creation and image-to-image transformation, giving users two distinct starting points depending on whether they have a concept or an existing photo to work from. For social media managers, this means original graphics and refreshed brand visuals can come from the same tool, cutting down the need to brief external designers for routine content.

Traditional Challenges of AI Image Generation

Social media teams commonly run into these obstacles when producing visuals the traditional way:

Long turnaround times waiting for designers or photographers to deliver assets
High costs from repeated photoshoots or stock licensing for every campaign variation
Multiple revision rounds before a client or brand manager signs off on final visuals
Difficulty keeping a consistent style across dozens of platform-specific graphics
Limited bandwidth to test several creative directions before a deadline

These pain points push teams toward AI-based tools that generate options quickly and allow instant edits within the same session. Instead of scheduling a new shoot or waiting on a designer's queue, a manager can produce several visual directions in one sitting and pick the one that best fits the brief.

How Pixomi AI Handles AI Image Generation?

Banana Pro: Premium AI Image Generator for 4K Visuals

Pixomi AI's flagship model is positioned for high-fidelity output, generating images at up to 4K resolution for both text-to-image and image-to-image workflows. It's built around strong prompt understanding, so more detailed descriptions translate into more accurate visuals, which matters when a campaign brief includes specific composition or mood requirements.

Z-Image Turbo: Speed-Optimized AI Image Generator

For high-volume needs, Z-Image Turbo produces results in roughly 3 to 5 seconds, making it suited for rapid content batches like daily social posts or quick prototyping before a final version is chosen. This speed matters most when a social team needs several variations to test within a single afternoon rather than over several days.

Flux Kontext: AI Image Generator with Intelligent Context Awareness

This model focuses on scene coherence, keeping multiple elements in a composition visually consistent when a prompt describes a complex scene. It's a useful option when a graphic needs several subjects or props to sit together believably, rather than looking assembled from separate pieces.

Step-by-Step Workflow

Step 1 – Prepare Input

Before starting, have either a clear text prompt describing the desired scene, style, and mood, or an existing photo ready if using image-to-image mode. Specific, descriptive prompts tend to produce more accurate results than vague ones, especially for branded visuals with particular color or composition needs.

Step 2 – Configure Settings

Inside the tool, users select their AI model, choose an aspect ratio, and adjust style intensity before generating. This step is where Banana Pro AI lets a manager match the output format to the platform it's headed for, whether that's a square Instagram post or a landscape banner.

Step 3 – Generate & Export

Clicking generate produces results within seconds, and users can preview the output before deciding whether to keep it or regenerate with small prompt tweaks. Finished images are automatically saved to a cloud library and can be downloaded for immediate use in campaigns, decks, or client deliverables.

Use Cases for Social Media Managers

Multi-Platform Content Production — managers producing daily posts across Instagram, TikTok, and Pinterest use text-to-image generation to create original graphics without a design backlog.
Client Campaign Variations — teams handling multiple brand accounts generate several visual directions quickly, reducing the revision rounds needed before client approval.
Product Visual Refreshes — social managers supporting e-commerce clients use image-to-image transformation to update existing product photos with new backgrounds or styling.
Rapid A/B Testing — managers testing ad creatives generate multiple variations from a single prompt to compare performance before committing budget.

FAQ

How does the generation workflow actually work?

Users either type a text description or upload a photo, adjust settings like model and aspect ratio, then generate results within seconds for review. The process supports quick iteration, so a manager can regenerate with adjusted prompts until the output matches the brief.

What are the usage rights for generated images?

Pixomi AI includes commercial usage rights on the free tier, allowing generated visuals to be used in marketing materials, client work, and social content without additional licensing fees. As with any AI tool, it's worth confirming current terms on the platform before applying outputs to high-stakes commercial campaigns.

What style and format options are available for this feature?

The feature supports multiple styles ranging from photorealistic to artistic interpretations, along with adjustable aspect ratios and style intensity settings. Several underlying models are available, each suited to different needs, from fast batch outputs to higher-fidelity 4K results.

Conclusion

Within the broader landscape of AI image generation tools, this feature gives social media managers a practical way to shorten production timelines and reduce the friction that comes with lengthy revision cycles. It fits naturally into workflows that demand fast turnaround without sacrificing visual consistency across platforms.

Teams looking to cut down on design bottlenecks may find it worth testing this feature on a real campaign brief to see how it handles their specific style and format needs.

Tencent Hy3 AI Usage Surges 68-Fold to Claim Top Spot on Global Leaderboard

2026-07-16T02:37:49.950-04:00

Tencent Holdings Ltd. expanded its artificial intelligence infrastructure following an abrupt increase in demand that briefly strained its servers after releasing the official version of its Hy3 large language model. Data from tech industry tracking outlet 36Kr shows that total API calls for the new model surged more than 68 times compared to the previous-generation Hy2 version.

Credit: Tencent

The rapid deployment of the text model into corporate and consumer tools triggered a massive consumption of data tokens. Within seven days of its official release, Hy3 secured the number one rank for call volume on the global large-model platform OpenRouter.

Infrastructure strain forced the Shenzhen-based company to inject immediate computing capacity to prevent system outages. This capacity expansion occurred after Tencent integrated the model into WorkBuddy, its proprietary intelligent office assistant.

Tencent also runs the model across other platforms like the desktop automation tool Marvis, the knowledge-base product ima, and its messaging ecosystem.

Chief AI scientist Yao Shunyu oversaw the project from the office of the chief executive officer and president, making this the first major public product rollout since he assumed control of the company's large language model development group. The new model achieves a 90 percent success rate on automated agent tasks across the company's internal software ecosystems.

Tencent released an official statement regarding the processing efficiency of the architecture:

"The model demonstrates significantly enhanced performance relative to models of the same size, while achieving intelligence comparable to flagship models with two to five times its parameter scale."

The underlying setup relies on a Mixture-of-Experts system containing 295 billion total parameters, though it activates only 21 billion parameters per individual request to minimize processing expenses.

It processes a context length of up to 256,000 tokens, enabling corporate users to feed lengthy financial documents, codebase repositories, and game production scripts into the automation pipeline.

Independent testing data from Artificial Analysis and Hugging Face indicates that the model costs 14 cents per one million input tokens and 58 cents per one million output tokens. This pricing configuration positions it among the cheapest options on the international market for high-volume corporate automation.

The company highlighted the commercial performance of the system in its corporate metrics:

"Since the launch of Hy3 preview, its average daily token consumption has increased twenty-fold, reflecting growing market recognition of its positioning as a practical and cost-effective model."

Internal tests from the company state that the model reduced its hallucination rates from 12.5 percent down to 5.4 percent compared to earlier versions.

Common logic and fact errors dropped from 25.4 percent to 12.7 percent, which the tech firm links to a complete rebuilding of its pre-training and reinforcement learning infrastructure started in early 2026.

For specific sub-features, such as the AI PowerPoint generation tool inside Tencent Docs, the update increased successful file creation by 20 percent.

The tech company pushed the software to third-party developer suites including OpenRouter, Cline, Cherry Studio, and Hermes to attract international software engineers. The group published the model under an Apache 2.0 open-source license, allowing outside businesses to host and modify the system on private servers without restrictive fees.

Regarding the future roadmap of the system, the Tencent Hy Team stated:

"Looking ahead, Tencent Hy will continue to accelerate its technical iteration, push the boundaries of model intelligence, and focus on real-world applications, turning leading large model capabilities into accessible productivity for every industry."

Thinking Machines Launches Inkling AI Model with Open Weights

2026-07-15T19:23:00.000-04:00

Thinking Machines Lab, the AI startup founded by former OpenAI CTO Mira Murati, released its first in-house AI model today.

The new AI system, named Inkling, uses an open-weight design that allows public researchers and companies to download and modify the code directly.

Credit: Thinking Machines

Inkling model features 975 billion total parameters and utilizes a Mixture-of-Experts architecture that activates 41 billion parameters for any individual task. It processes multimodal data including text, images, audio, and video, though it currently limits its final outputs to text and code.

Murati announced the product launch on the social media platform X, confirming that users can access the system immediately.

"Our first model, Inkling. Trained from scratch, weights are open, fine-tunable on Tinker today."

Tinker serves as the startup's platform where enterprise clients can customize large language models for specific business tasks. Thinking Machines is currently providing access to Inkling without charging any fees.

Model Specifications and Performance Limits

The company openly states that Inkling does not outperform every competitor on standard leaderboards. Company materials describe the release as not the strongest model available today among closed or open systems. Instead, the developers focused on customizability and lowering operational costs for companies that want to host models on their own private servers.

Total Parameters: 975 billion
Active Parameters: 41 billion
Context Window: Up to 1 million tokens
License: Apache 2.0 open source license

Benchmark tests provided by the company indicate that Inkling matches Nvidia’s Nemotron 3 Ultra on coding tests and uses a third of the tokens. The model scores behind closed proprietary flagship systems like OpenAI’s GPT-5.6 and Anthropic’s Claude Fable 5.

Technical Ties to Chinese Competitors

The technical development of Inkling involved drawing from systems developed by Chinese technology competitors. Thinking Machines built the foundation architecture based on China's DeepSeek-V3 system. The company also used post-training data generated by Moonshot AI’s Kimi K2.5 model, a development method called distillation.

The firm stated that its next generation of models will train entirely on internal data rather than using outputs from external models. The company trained the model entirely on Nvidia GB300 systems, following a hardware infrastructure agreement established in March.

Thinking Machines also released a preview version of a smaller model named Inkling-Small. This secondary model operates with 12 billion active parameters to reduce data latency and lower processing expenses.

Corporate Structure and Funding

Thinking Machines formed in February 2025 and secured two billion dollars in seed funding last year at a twelve-billion-dollar valuation. Investors included venture capital firm Andreessen Horowitz, chipmakers Nvidia and AMD, and the hedge fund Jane Street. The government of Albania also contributed a ten-million-dollar direct investment into the startup.

The San Francisco startup currently employs roughly 200 workers following the departure of two co-founders earlier this year. Business records show that Murati retains a majority voting share that grants her primary control over board decisions.

OpenAI Builds GPT-Red (An Internal AI Hacker) to Attack Its Own Systems

2026-07-15T17:10:00.000-04:00

OpenAI built an internal software tool called GPT-Red to systematically launch cyberattacks against its own artificial intelligence models. The software discovers security flaws and structural weaknesses like a Team Red before the company deploys those models to public users.

The automated hacker focuses on prompt injections, an exploit in which malicious instructions hide within standard web pages, emails, or data files. When a target AI agent reads these infected documents, the hidden commands override the original programming and force the system to follow the attacker's goals.

OpenAI engineers trained the security tool using self-play reinforcement learning. GPT-Red acts as the adversary against a group of defender models inside a simulated digital workspace.

The red-teaming model, or I would say the offensive model, receives programmatic rewards when it successfully breaches a defense, and the defending models receive points for blocking the attack and completing their assigned tasks.

During a standard evaluation, the system outperformed human security professionals by a wide margin. OpenAI replicated a 2025 cybersecurity experiment to measure performance against a previous version of its GPT-5 model. GPT-Red broke through the system defenses in 84% of scenarios, while human security team members achieved only a 13% success rate on the same tests.

The automated testing loop exposed an entirely new style of attack that engineers had not previously documented. The system inserts spoofed reasoning steps directly into the private working memory of a target AI, tricking the target into believing it already verified the false data.

OpenAI researcher Chris Choquette-Choo detailed the fake reasoning method to MIT Technology Review.

"It's like if I told you that 1+1=3 and that you have verified this already."

"The model's like, 'Oh, okay, of course,' and it just spits out 3."

OpenAI also tested the tool on physical systems inside its corporate headquarters. Engineers pointed GPT-Red at a connected vending machine agent named Vendy, which was built by the evaluation firm Andon Labs. The AI hacker manipulated the machine's software, slashed purchase prices to a 50-cent minimum, added a premium item at that low price point, and canceled an active order from another customer.

OpenAI research scientist and co-creator Dylan Hunn discussed the system's focus during testing.

"Compared to a human red-teamer, the model is very, very good at finding exactly what will work."

Co-creator Nikhil Kandpal described the expanding security issues that come with highly autonomous AI systems.

"The risk surface grows and the blast radius also grows,"

OpenAI used the vulnerabilities discovered by GPT-Red to train its newest public model, GPT-5.6 Sol. The company reported that the continuous adversarial training cut prompt injection failures sixfold compared to its previous best model from four months ago. Attacks that successfully broke through older GPT-5 models 90 percent of the time now succeed less than 23 percent of the time against GPT-5.6 Sol.

The developer intends to keep GPT-Red strictly internal and will not release the model to customers or the open-source community. Executives stated that keeping the offensive tool locked away prevents real-world malicious actors from studying or deploying its automated hacking strategies.

The system still exhibits specific operational limitations. It struggles to execute complex attacks that require a long, back-and-forth conversation, and it fails to identify malicious prompts hidden inside graphic images.

Jessica Ji, a senior research analyst at Georgetown University’s Center for Security and Emerging Technology, commented on the development.

"The results look very promising,"

Ji added that human security expertise remains critical because human testers continue to catch vulnerabilities that the automated system misses.

Live-Action Naruto Movie: Lionsgate Begins Global Casting Search!

2026-07-15T16:04:00.000-04:00

Lionsgate and director Destin Daniel Cretton officially opened a worldwide casting search to find the three main actors for the live-action Naruto film. The production team seeks performers to play Team 7 characters Naruto Uzumaki, Sasuke Uchiha, and Sakura Haruno.

Credit: Naruto Official site.

Cretton, known for directing Marvel's Shang-Chi and the Legend of the Ten Rings and the upcoming Spider-Man: Brand New Day, handles writing and directing duties. The filmmaker expressed his goals for the movie through a social media statement.

“Kishimoto-sensei's stories have inspired generations of fans around the world, and it's an honor to bring his world and characters to the big screen in live action for the very first time,” Cretton said.

“I'm thrilled to kick off this worldwide casting search for our Team 7 and to bring the incredible universe of Naruto to life!”

Original series creator Masashi Kishimoto works directly with the project. Kishimoto shared his perspective regarding the adaptation through a statement on the official franchise website.

“Right now, miracles are happening to me, one after another,” Kishimoto said.

“My work, Naruto, is truly, truly becoming a Hollywood movie! And an even greater miracle is that the film will be directed by the one and only Destin Daniel Cretton. I still cannot believe it!”

“If so many miracles have already come together, then let us hope for even more. I am eagerly looking forward to the miraculous encounters that will bring us extraordinary and passionate actors! I cannot wait to meet my characters in the film!”

Leaked casting breakdown descriptions indicate the film may take place during the Naruto: Shippuden timeline. The casting calls ask for Asian or mixed-race Asian actors aged 18 and older to play the roles at age 16. The production requires actors who speak English fluently and possess experience in martial arts, dance, gymnastics, or parkour.

The casting sheets describe Naruto as an expressive, energetic, and impulsive teen who carries deep pain from his past. The description for Sasuke points to an intelligent but distant ninja who grew up faster than his peers due to childhood family trauma. Sakura's character profile outlines a strong-willed, ambitious leader whose high-achieving persona conceals personal insecurities.

Lionsgate first secured the film rights to the manga back in 2015. Initial plans involved director Michael Gracey before Cretton took over the position in early 2024. Avi Arad, Ari Arad, and Emmy Yu produce the film under Arad Productions alongside Jeremy Latcham.

The manga original source material debuted in Weekly Shonen Jump magazine in 1999 and concluded its run in 2014. The printed volumes sold more than 250 million copies across 60 countries and territories. Studio Pierrot previously turned the material into a long-running anime adaptation spanning 720 episodes across two series between 2002 and 2017.

Filming schedules indicate that cameras will roll from January 2027 through August 2027 in the United Kingdom. Lionsgate has not announced an official theatrical release date.

Top 10 AISEO (AEO) Agencies in UAE in 2026

2026-07-15T10:56:46.996-04:00

You have probably noticed something strange happening with your website traffic. Rankings are holding steady, maybe even climbing.

But leads are flat.

Your analytics show people are still searching for what you offer, yet they are not clicking through to your site the way they used to.

That is because they are not clicking at all.

In 2026, a growing share of high-intent buyers in the UAE are skipping Google's blue links entirely. They are asking ChatGPT, Perplexity, Gemini, and Google AI Overviews for direct recommendations. They want one answer, not ten pages of options. And if your brand is not the name those AI engines cite, you are invisible at the exact moment a decision is being made.

Answer Engine Optimization, or AEO, is the discipline of making sure your brand gets cited inside those AI-generated answers. Some call it AISEO. Others use GEO, Generative Engine Optimization. The labels vary. The job is the same: be the source the AI quotes when a buyer asks a question in your category.

This guide walks you through the top AEO agencies operating in the UAE in 2026, what makes each one distinct, and how to choose the right partner for your business.

What AEO Actually Is and Why It Matters in 2026

Answer Engine Optimization is the practice of structuring your brand's content and digital presence so that AI-powered platforms cite, reference, and recommend you when users ask relevant questions.

Traditional search returns a list of links. AI answer engines synthesize a single response drawn from multiple sources. The brand named in that response wins the interaction. The user often never visits a search engine results page at all.

Understanding the mechanics matters. Most AI answer engines use retrieval-augmented generation, or RAG. The model pulls relevant content from indexed sources at query time and synthesizes it into a response. The model does not use PageRank to decide what to cite. It uses entity recognition, source authority triangulation, factual consistency across the web, and content structure.

That is a fundamentally different optimization target than traditional SEO.

Consider this:

Ahrefs analyzed over a billion data points across 14 studies in 2026 and found that 28.3% of the pages ChatGPT cites most have zero Google organic visibility.

AI search is a separate discovery layer with its own rules. You can rank number one on Google and still be completely absent from ChatGPT's answers.

The commercial implications are direct.

45% of B2B buyers now use generative AI tools to research solutions before speaking to a single sales rep.

They are asking ChatGPT which project management tool fits a remote team, querying Perplexity for the best CRM for a Series B company, and getting synthesized answers that name specific brands.

By 2028, Gartner projects that 80% of all search interactions will be powered by an AI agent or answer engine.

Dubai and the wider UAE are ahead of the curve on this shift. The UAE has emerged as the region's leader in AI infrastructure with 35 operational data centers and a USD 44 billion data center investment pipeline representing 55% of total GCC investments.

UAE buyers adopted AI assistants quickly, searches happen across both Arabic and English, and the categories that dominate the local economy, property, private healthcare, and finance, are exactly the ones where a single AI recommendation can be worth a large deal.

How AEO Differs From Traditional SEO

AEO builds on SEO fundamentals. It is not a replacement. But the two disciplines diverge in ways that matter practically.

Aspect	Traditional SEO	Answer Engine Optimization (AEO)
Primary goal	Rank #1 on search engine results pages	Get cited inside AI-generated answers
Success metric	Keyword rankings, organic traffic	Brand mentions inside ChatGPT, Perplexity, AI Overviews
Key signals	Backlinks, keyword density, domain authority	Entity recognition, citation consistency, structured data
Content format	Blog posts, landing pages, articles	Structured data, entity profiles, answer-ready content
Time to visible results	3-6 months for rankings	2-3 weeks for citations on well-structured content
Audience	Anyone searching on Google	High-intent buyers using AI assistants

If your strategy is still optimized only for Google's blue links, you are optimizing for a shrinking share of how people find information.

Credit: AI-generated image by AllBlogThings team.

The Top AISEO and AEO Agencies in the UAE for 2026

The UAE market has seen a flood of agencies adding "AEO" or "AI SEO" to their websites. Most have simply relabeled their traditional SEO services.

The companies (agencies) below have genuinely built AEO capabilities. They understand entity architecture, structured data, and how to engineer content that AI models trust.

1. SemNexus

Headquarters: New York, NY (serving Dubai and global markets)

Best for: Fast-scaling tech startups, luxury real estate, and B2B enterprises that demand zero-click dominance

SemNexus takes the top spot in the Dubai market because they operate natively within the LLM ecosystem. While many UAE agencies repackage 2015 SEO services as "AI Optimization," SemNexus understands that AI models do not care about local directory backlinks. They care about Entity Salience and mathematically structured data.

For Dubai brands facing fierce international competition, SemNexus deploys deeply nested JSON-LD schema, feeding exact pricing, inventory, and features directly to AI crawlers, while orchestrating off-page brand sentiment across the entire internet.

If you are a high-end property developer or a global SaaS platform, you cannot afford AI hallucinations. SemNexus engineers your unstructured data and Entity Authority to ensure that when a high-intent buyer asks ChatGPT for the best solution in your industry, your brand is the only logical, trusted citation -1 .

2. NorthQuery

Headquarters: Dubai, UAE

Best for: Real estate, dentistry, and finance brands

NorthQuery is a specialist answer engine optimization consultancy founded by a former NLP researcher with a master's in natural language processing from the University of Copenhagen and published research in the ACL Anthology. That research background is directly relevant because AEO comes down to how language models retrieve and trust sources, which is the same problem NLP studies directly.

Its method, the QED Framework, runs in three steps: Quantify the citation gap, Engineer answer-ready content and entity signals, then Demonstrate results through tracked citations. Its public case study moved carcover.com from 0 to 27 ChatGPT citations.

Because work is handled directly by the founder, clients get senior input rather than junior execution.

3. Tenet

Headquarters: Dubai (UAE), London (UK), Noida (India), and New York (USA)

Best for: Enterprise, SaaS, and ecommerce brands

Tenet helps companies rank not only on traditional search results but also inside AI-generated answers and recommendation systems. They follow a structured LLM SEO framework that reviews prompt visibility, strengthens entity signals, and builds citation-ready content on trusted platforms.

Their focus is not traffic numbers. They focus on leads, revenue, and measurable business growth. In one case study, Tenet helped Yomly grow organic clicks from 5.25K to 20.5K and increase first-page keyword rankings from 132 to 763 within six months. Monthly enterprise leads grew from 6 to more than 30 high-intent enquiries.

4. Digital Media Sapiens

Headquarters: Dubai, UAE (JLT)

Best for: Brands needing both traditional SEO and AEO/GEO integration

Born in the USA with 16 years of global experience and 13 years in Dubai, Digital Media Sapiens combines traditional SEO with AEO, GEO, and AI search strategies. They work with Gulf Food, the World Trade Centre, Microsoft Office, Gitex, and multiple medical hospitals and clinics.

Their approach focuses on authority-building content that actual AI engines reference. They are not just a marketing agency; they are an agency that makes AI recognize and recommend your brand.

5. Snezzi

Headquarters: Dubai, UAE

Best for: End-to-end AI visibility with lead accountability

Snezzi is an AI-visibility-native, done-for-you AEO partner that tracks ChatGPT, Perplexity, Gemini, and Google AI Overviews, executes the work, and ties reporting to leads. Outcome accountability separates agencies that deliver results from those that supply data only.

Snezzi combines technical fixes, content creation, and citation work under one team. Transparent reporting ties directly to leads and pipeline, and pricing aligns fees with measurable business outcomes rather than activity metrics.

6. House of Growth

Headquarters: Dubai, UAE

Best for: Early-stage B2B SaaS brands and scale-ups

House of Growth is a Dubai-based B2B SaaS AEO agency that works with early-stage startups and VC-funded scale-ups in the UAE. Founded by an ex-SaaS founder who built and exited multiple SaaS companies, the agency helps other SaaS brands scale on AI search through ROI-focused owned content, YouTube, and Reddit.

Their approach starts by researching the topics buyers look for when they are ready to evaluate or purchase a solution. Using a Revenue Focused SEO approach, they uncover bottom-of-funnel topics that match real buying intent, then create content strong enough to rank for target SEO keywords and clear enough for LLMs to understand and recite your product's value.

7. SEO Sherpa

Headquarters: Dubai, UAE

Best for: Established global brands looking to maximize conversion rates from standard Google Search

SEO Sherpa is an incredibly reputable, award-winning agency in the Middle East. They are famous for their conversion-first approach, blending digital PR, content marketing, and technical SEO to drive traditional leads.

The caveat: SEO Sherpa is brilliant at traditional search engines, but LLMs do not use the Google algorithm. AI models actively skip over 3,000-word blog posts in favor of concise, structured data tables. If your primary goal is to secure direct, zero-click citations natively inside ChatGPT, paying a premium for traditional backlink building and conversion rate optimization on landing pages may not be the right strategy.

8. Bird Marketing

Headquarters: Dubai, UAE

Best for: Mid-market hospitality, retail, and service brands

Bird Marketing focuses on improving search performance and converting website traffic for hospitality, retail, and service brands. They operate as part of your team, combining technical SEO, content intelligence, and data-driven experimentation to improve business metrics like pipeline quality, lead velocity, and customer value rather than only rankings or impressions.

9. Brainvire Infotech Inc

Headquarters: Dubai, UAE

Best for: Enterprise and large ecommerce/retail brands

Brainvire Infotech provides integrated platform development and SEO at scale for enterprise and large ecommerce and retail brands. They are suited for brands that need both technical platform engineering and organic growth capabilities under one roof.

10. Digital Nexa

Headquarters: Dubai, UAE

Best for: Massive enterprises needing a one-stop-shop for web development, CRM integration, and digital marketing

Digital Nexa focuses on question-based search and serves as a broad enterprise digital marketing partner-. They offer the breadth that large organizations need when they want to consolidate multiple digital functions with a single agency.

Where AEO Plays Out?

AEO is not a single-channel discipline. Your brand needs visibility across multiple AI platforms, each with its own characteristics.

ChatGPT

ChatGPT remains the dominant AI assistant for B2B research. When a buyer asks ChatGPT for recommendations, the model synthesizes answers from multiple sources. Brands with strong entity recognition, consistent mentions across authoritative sources, and well-structured content get cited.

What works for ChatGPT: Clear, factual content. Strong entity signals. Consistent brand mentions across trusted publications. Structured data that answers specific questions directly.

Google AI Overviews

Google's AI Overviews appear at the top of search results for many queries. These overviews synthesize information from multiple sources and present a single answer. Google still uses its ranking systems, but AI Overviews pull from sources that are authoritative, relevant, and clearly structured.

What works for Google AI Overviews: Traditional SEO fundamentals plus structured content. Clear answers to common questions. Authoritative sources with strong domain trust.

Perplexity

Perplexity has gained significant traction among technical and business users. It cites sources directly in its answers, making citation tracking more transparent than with some other platforms. Perplexity users tend to be early adopters and decision-makers.

What works for Perplexity: Cited sources. Clear attribution. Content that answers specific, technical questions with precision.

Gemini and Claude

Google's Gemini and Anthropic's Claude are increasingly used for business research. Both models prioritize factual consistency and source authority. Brands that appear in Gemini and Claude answers gain visibility with enterprise buyers.

What works for Gemini and Claude: Factual accuracy. Consistent information across the web. Clear entity profiles.

How to Choose the Right AEO Partner for Your Business

Five factors separate an agency that can genuinely move your AI citation rate from one that has repackaged traditional SEO.

Real AEO capability, not relabeled SEO.

Look for specific work in answer engine optimization and generative engine optimization, not a general SEO retainer with an AI label added. Ask about their methodology. Ask how they measure citations. Ask what tools they use to track AI visibility.

A proven, measurable track record.

Ask for citation results you can verify, such as named queries an agency has earned citations for, rather than vague visibility claims. NorthQuery's case study showing 0 to 27 ChatGPT citations is the kind of evidence you should demand.

Understanding of the UAE market.

Bilingual Arabic and English dynamics, a multicultural buyer base, and experience with premium and luxury brands all matter. The UAE is not a Western market with a different time zone. It has its own search behaviors, its own cultural nuances, and its own competitive dynamics.

Transparent reporting.

You should be able to see which engines cite you, for which queries, and how that changes over time. If an agency cannot show you this data, they are not actually tracking AEO performance.

Fit for your industry and structure.

The best agency for a SaaS company is rarely the best one for a luxury developer or a private dental clinic. Match the agency's expertise to your specific industry and needs.

Agency or Tool: Which Do You Need?

The AEO tools market is crowded with dashboards that will show you, in high resolution, exactly how invisible your brand is inside ChatGPT, Perplexity, Gemini, and Google's AI Overviews.

Useful.

Sobering.

And, on its own, completely inert.

Someone still has to do the work: the entity cleanup, the answer-first content, the digital PR that builds the co-citations the models trust, the schema, the measurement loop that proves any of it moved the needle.

Choose a tool if: You have a content team with spare capacity and AEO fluency. You just need data and guidance, and your team can execute.
Choose an agency if: You do not have that team. Most lean teams do not. An agency does the work for you.

What to Expect on Timeline and Investment?

AI citations for well-structured content often start appearing within two to three weeks of publishing.

A real visibility shift across your priority prompts usually takes three to six months.

Anyone promising faster is selling you the before picture of a transformation that has not happened yet.

Pricing varies widely.

Global GEO specialists typically charge four to five figures monthly USD.

Regional Dubai and MENA agencies work on AED retainers, often in the mid-four-figure range and up.

Traditional SEO firms with AEO add-ons offer lower entry points but narrower scope, often limited to one or two engines.

The Bottom Line on AEO in the UAE for 2026

The search landscape has fractured. High-net-worth investors, B2B procurement teams, and luxury consumers are no longer clicking through ten pages of Google links. They are asking Perplexity, ChatGPT, and Google's AI Overviews for direct, definitive recommendations.

If your Dubai business is not the single cited answer generated by these AI platforms, your legacy Google rankings are virtually worthless.

The UAE is ahead of the curve on this shift. With 35 operational data centers and a USD 44 billion investment pipeline, the infrastructure for AI-driven discovery is already in place. Dubai businesses that adopt AEO now will hold a significant citation advantage over competitors who wait.

The agencies profiled in this guide represent the best of what the UAE market has to offer in 2026. They understand that AEO is not SEO with a new label. It is a fundamentally different discipline that requires different skills, different tools, and a different way of thinking about content and authority.

Choose the AEO agency that fits your industry, your stage, and your goals. Then start building the entity authority and answer-ready content that will make your brand the one AI recommends.

Because in 2026, the only rankings that matter are the ones you never see.

OpenAI Plans Moving, Screenless AI Smart Speaker for First Hardware Release

2026-07-15T10:56:00.000-04:00

OpenAI is developing its first physical consumer device, which takes the form of a portable, screenless smart speaker designed to act as an interactive home assistant.

The product relies on built-in cameras, environmental sensors, and mechanical components that move on their own to create a physical presence.

OpenAI hopes to unveil the hardware later this year, aiming for a consumer release in 2027.

Credit: AI-generated image by AllBlogThings team.

The physical design of the device moves away from standard display screens. Instead, the engineers use a fabric-covered capsule-like body that blends into home environments.

The concept image shows a minimalist, cylindrical speaker resting on a wooden table.

You can see the dark central camera lens and sensor ports integrated directly into the fabric surface, which allow the device to observe its surroundings.

The device incorporates a rechargeable battery to let users carry it from room to room during daily chores. It operates using GPT-Live, a voice model that allows natural, double-sided conversations where people can interrupt the voice assistant mid-sentence.

This AI speaker aims to learn user preferences, daily routines, and email contents over time to anticipate needs before the user asks.

OpenAI plans to get it manufactured by Foxconn and it is building the speaker under the creative direction of Jony Ive and his design firm, LoveFrom. The development follows OpenAI's acquisition of io Products, a hardware startup co-founded by Ive, for approximately $6.5 billion via an all-stock deal.

Former Apple industrial design head Evans Hankey is leading the engineering of the speaker.

Reportedly the price would be around $300 and this first hardware product by OpenAI would land in consumers hands not earlier than February 2027.

The development faces a major legal challenge from Apple. On July 10, 2026, Apple filed a federal trade-secret theft lawsuit against OpenAI, io Products, and two former employees.

The complaint accuses OpenAI of orchestrating a systematic campaign to recruit Apple engineers and extract proprietary hardware secrets to speed up its own device development.

Apple alleges that engineer Chang Liu kept an Apple-issued laptop after his departure and exploited a software vulnerability to download confidential hardware specifications.

The lawsuit includes a text message from Liu to an Apple colleague reading:

"LOL, I found out I can access the [network storage], so funny."

Apple also accuses OpenAI's chief hardware officer, Tang Tan, of using internal knowledge of departure security to help recruiting efforts.

The filing claims Tan directed Apple job candidates to bring physical components to interviews.

The lawsuit states:

"OpenAI's nascent hardware business now rests on the shakiest of foundations, rotten to its core by its illegal reliance on misappropriated trade secrets."

OpenAI denies these allegations and plans to contest them in court.

Drew Pusateri, the director of strategic communications for OpenAI, posted a statement addressing the lawsuit:

"We have no interest in other companies' trade secrets. We remain focused on building innovative technology that empowers people everywhere."

OpenAI argues that the smart speaker is fundamentally different from any hardware product Apple currently sells, making trade-secret violations unlikely.

Apple is seeking a court injunction to halt OpenAI's hardware business, which could delay the planned 2027 launch.

Top 10+ Best LLM Development Companies in UAE to Hire in 2026

2026-07-15T08:21:16.774-04:00

Dubai and Abu Dhabi are pouring billions into becoming global AI capitals, and every week brings another announcement.

Government services, logistics giants, and fintech players are racing to embed custom large language models into their core operations.

The confusion starts when you search for a development partner. You will find managed service providers reselling API access alongside genuine AI labs that train models from scratch. Telling them apart saves you months of wasted time and a budget that balloons for no good reason.

We spent weeks evaluating the firms that actually build, fine-tune, and deploy LLMs on the ground in the Emirates.

Our lens was simple.

A real LLM development company does not just wrap ChatGPT.

It handles data preprocessing in Arabic and English, selects or trains base models, implements retrieval-augmented generation (RAG) on private data, and deploys with UAE data sovereignty front of mind. This list reflects exactly that filter.

What is LLM development?

It's the work of adapting, fine-tuning, deploying, and governing large language models for a specific business or government use case, rather than just calling a public API and hoping for the best.

Quick Reference:

Type: Software and AI engineering service, ranging from boutique consultancies to sovereign-scale infrastructure providers
Who needs it: Enterprises, government entities, and regulated industries (banking, healthcare, logistics) building Arabic-English chatbots, retrieval systems, or fine-tuned domain models
Where it applies: Customer service automation, document intelligence, knowledge management, compliance workflows, and public-sector digital services
Key example: Jais, the Arabic-English LLM built in Abu Dhabi by Inception, MBZUAI, and Cerebras
Current status: Rapidly maturing, with new federal data rules taking full effect in January 2027

Building an LLM-powered product in the UAE in 2026 is not the same exercise it was two years ago. Arabic natural language processing has gone from a niche request to a baseline expectation.

Government buyers want vendors who understand the Personal Data Protection Law.

And the presence of national-scale infrastructure, most visibly the Stargate UAE data center campus in Abu Dhabi, means enterprises now have a genuine choice between working with a boutique agency, a global outsourcing shop, or a national AI platform built for exactly this kind of workload.

What LLM Development in the UAE Really Means Right Now?

An LLM engagement in this market rarely starts with training a billion-parameter model from zero. Most projects cluster around three practical tracks.

Fine-tuning open-weight models such as Falcon, LLaMA, or Jais on proprietary enterprise data to create domain-specific assistants.
Building secure RAG pipelines that let legal, medical, or financial teams query internal documents in plain English or Arabic without hallucinated references.
Sovereign and on-premises deployments that keep sensitive citizen and business data inside UAE borders, fully compliant with the Personal Data Protection Law (PDPL) and sector-specific regulations.

You need a partner that understands GPU orchestration on local cloud regions, Arabic NLP with dialect handling, and the compliance frameworks that make government and enterprise procurement possible.

The following companies deliver on all three.

But wait,

How the UAE Got Here?

The UAE Cabinet adopted the National Strategy for Artificial Intelligence 2031 back in April 2019, and it set eight objectives spanning talent, government adoption, and AI governance. The ambition behind it is large: national targets call for lifting AI's contribution to non-oil GDP from roughly 9% today toward 45% by 2031, an increase estimated at AED 335 billion in added value. Separate industry reporting citing the Dubai State of AI Report puts AI's projected GDP contribution closer to 14% by 2030, a reminder that different agencies publish different projection models, but the direction of travel is consistent across all of them.

What makes the UAE different from most countries chasing an "AI hub" label is that the government put real infrastructure behind the ambition. Abu Dhabi's G42, through its Inception division, released Jais in August 2023, a 13-billion-parameter Arabic-English model built in partnership with the Mohamed bin Zayed University of Artificial Intelligence and Cerebras Systems. A 30-billion-parameter version followed months later, and by mid-2024 G42 had open-sourced a family of 20 Jais models ranging from 590 million to 70 billion parameters, one of the largest single releases of Arabic-centric LLMs anywhere in the world.

Then came Stargate UAE. Announced in 2025 as part of the US-UAE AI Acceleration Partnership, this is a planned 1-gigawatt AI data center cluster in Abu Dhabi built by G42's Khazna Data Centers alongside OpenAI, Oracle, NVIDIA, Cisco, and SoftBank. The first 200-megawatt phase is targeted for delivery in 2026, and the deal includes plans to make ChatGPT freely available nationwide, making the UAE the first country in the world with that arrangement. That single announcement changed the calculus for a lot of UAE businesses: the question is no longer just "should we build with LLMs," it's "do we build in-house, plug into national infrastructure, or hire a specialist to bridge the two."

The Problem With Most "Best LLM Company" Lists

Before the actual shortlist, it's worth naming the pattern you'll run into everywhere else, because it changes how you should read any ranking, including this one.

⚠️ Watch Out: Most "top 10 LLM development companies in UAE" articles are written and published by one of the companies on the list, and that company almost always ranks itself first. It's not automatically dishonest, agencies are allowed to market themselves, but it does mean the ranking logic is rarely independent. Several widely shared lists also mix genuinely UAE-headquartered firms with outsourcing companies based in Vietnam, India, or Eastern Europe that simply serve UAE clients remotely. Neither is disqualifying on its own. What matters is knowing which one you're looking at before you get on a sales call.

The honest move is to separate the field into categories that actually mean something for a buyer, rather than pretending there's one clean ranking from best to worst.

So here's our independent ranking of top and best LLM development companies from the UAE:

The #1 Sovereign-Scale Player: G42, Core42, and Inception

If your project involves government contracts, critical infrastructure, or compute at a scale most agencies can't touch, there's really one name in this tier.

G42, founded in Abu Dhabi in 2018 and chaired by Tahnoon bin Zayed Al Nahyan, has grown into a technology holding group employing more than 25,000 people across data centers, sovereign AI, healthcare AI, and cloud services. Its AI model development work runs through Inception, the entity behind the Jais family of Arabic LLMs, while Core42 (formed from the 2023 merger of G42 Cloud, Inception, and Injazat, later partially re-separated) handles enterprise cloud and generative AI delivery for national-scale and large-enterprise clients.

This isn't a vendor you engage for a AED 30,000 chatbot MVP. G42 and Core42 operate at the level of government digital transformation, genomics and healthcare AI through its M42 arm, and the infrastructure backing Stargate UAE. If you're a bank, a federal or emirate-level government entity, or an enterprise that needs serious compute and long-term R&D backing rather than a project-based engagement, this is the tier to approach. Everyone else on this list is, in some sense, building on the foundation G42 has spent seven years constructing.

💡 Pro Tip: If your organization needs Arabic-language capability but doesn't have the budget or scale for a direct G42 engagement, ask prospective agencies whether they fine-tune on top of open-source Jais models rather than building Arabic NLP from scratch. Several smaller UAE agencies already do this, and it's a legitimate way to inherit sovereign-grade Arabic performance without the sovereign-scale price tag.

The #2 Arabic-Language and Government Specialist: Saal.ai

Saal.ai, headquartered in Abu Dhabi and founded in 2016 as part of ADCG Holding, occupies a narrower but genuinely differentiated lane: Arabic natural language processing, knowledge graphs, and cognitive AI for government and information-intensive sectors like healthcare and financial services. Its DigiXT platform is built specifically as a made-in-UAE alternative to foreign big-data tools, with Arabic AI capability the company says spans more than 40 dialects, along with document intelligence and cognitive search products used by both public and private sector clients.

Saal.ai isn't chasing the general "build us a GPT wrapper" market. Its published work leans toward law enforcement, healthcare authorities, and telecom and financial institutions that need Arabic-first NLP with government-grade security expectations. If your use case is specifically Arabic-language document processing, citizen services, or intelligence-adjacent search rather than a general customer-facing chatbot, this is one of the few UAE-native firms built around exactly that problem rather than treating Arabic as an add-on feature.

UAE-Headquartered Enterprise Agencies Worth Shortlisting

Below the sovereign tier sits a genuine mid-market of agencies that are actually based in Dubai or Abu Dhabi, employ local delivery teams, and show up consistently across independent client conversations rather than only their own marketing.

3. 75way Technologies

75way is a Dubai-based agency that markets itself as a full-stack AI shop: custom models, domain-specific LLMs, AI agents, and multimodal systems, with claimed teams of 150-plus AI developers and a stated decade of operating history.

It's worth being direct about something here: 75way's own blog ranks itself first on its list of "top 10 AI companies in Dubai," which is the exact self-ranking pattern this article opened by criticizing.

That doesn't mean the company is a bad fit, its published case studies and named clients (Sobha Realty and AW Rostamani appear in third-party coverage of the wider Dubai AI market) suggest genuine delivery capability, but treat any specific numbers it publishes about itself as marketing claims to verify, not settled fact.

4. LeewayHertz

LeewayHertz appears consistently across independent UAE AI rankings as a specialist in custom LLM applications and generative AI products, positioned for clients who need genuine model customization rather than a thin wrapper around a public API. It shows up often enough, and in enough differently-authored lists, that the pattern is more credible than a single self-published ranking.

LeewayHertz has operated in the Dubai Multi Commodities Centre for several years and brings deep enterprise generative AI experience through its ZBrain platform. ZBrain acts as a private LLM layer that ingests your structured and unstructured data, then exposes a secure natural language interface that employees can use without leaking data to public models. The platform supports on-premises hosting and integration with local cloud regions.

The development team handles everything from data chunking and embedding strategies to fine-tuning open-weight models for specialized terminology in oil and gas, legal contracts, or Islamic finance. LeewayHertz also builds custom evaluation dashboards so your compliance team can review answer accuracy before production deployment. This level of transparency makes the firm a recurrent choice for regulated industries.

5. AI71

AI71 is the commercialization arm launched by Abu Dhabi’s Advanced Technology Research Council (ATRC) to put Falcon models into enterprise hands. Think of it as the bridge between a world-class open-source model family and your specific operational needs. AI71 operates a dedicated LLM platform that lets you fine-tune Falcon variants on your own data, build private chat applications, and deploy behind your firewall with full residency guarantees.

The team runs a startup program, AI71 Labs, giving early-stage companies access to compute credits and model training expertise. Enterprises lean on AI71 for domain-specific tuning in healthcare, education, and legal use cases, all with local engineering support and Arabic-first optimization. The product roadmap includes multimodal capabilities and agentic workflows built directly on Falcon architectures, making the firm a strong pick for organizations that want to stay inside the Falcon ecosystem without managing raw infrastructure.

6. Appinventiv

Appinventiv operates a full AI and LLM development practice out of its Dubai office, serving both regional enterprises and global startups. The company does not build its own foundation models but excels at adapting open-source and API-accessible LLMs for business processes. The typical engagement covers custom fine-tuning, prompt architecture, vector database integration, and RAG pipeline construction for knowledge management, customer support, and e-commerce personalization.

You get a dedicated team that works in agile sprints, with governance checkpoints aligned to UAE data compliance. Appinventiv has delivered multilingual chatbots for retail banks, document intelligence tools for logistics firms, and internal search assistants for mid-size enterprises. The fixed-price and time-and-materials models provide flexibility when you have a well-scoped proof of concept ready to scale.

7. Markovate

Markovate brings an agentic AI mindset to LLM development. With a Dubai hub and teams in North America and India, the firm designs custom AI agents that string together LLM calls, API actions, and database lookups for complex workflows. Their work spans healthcare prior-authorization agents, financial compliance bots that reason over policy documents, and dynamic product recommendation engines built on multi-model orchestration.

The LLM stack includes fine-tuning, RAG, guardrail implementation, and evaluation pipelines that measure hallucination rates and retrieval precision. Markovate emphasizes a security-first posture, with on-premises deployment options for UAE clients that cannot send data outside the country. For businesses that have moved beyond basic Q&A bots and need multi-step reasoning, Markovate’s design patterns are a close fit.

8. Damco Solutions

Damco Solutions takes a consulting-led approach to LLM engagements from its Dubai office. Instead of starting with code, the team runs a discovery sprint that maps your document workflows, decision bottlenecks, and language requirements in both Arabic and English. The output is an LLM blueprint that specifies model selection, data preprocessing rules, RAG architecture, and ongoing fine-tuning cycles.

Their delivery teams then build the solution on Azure OpenAI Service, local deployment of Falcon, or open-source stacks depending on your residency needs. Damco has done extensive work with BFSI clients on loan document analysis and with logistics firms on shipment tracking interfaces that understand unstructured emails. The blend of strategy and hands-on engineering suits organizations that need help defining the problem before solving it.

9. SoluLab

SoluLab positions itself as a high-velocity AI partner for startups and fast-moving mid-market companies in the UAE. Their LLM track record leans heavily on building conversational AI using LangChain, LlamaIndex, and vector stores such as Pinecone or Weaviate, integrated with WhatsApp, Slack, or custom web portals. Fine-tuning projects often use LoRA techniques on LLaMA or Mistral variants to keep compute costs manageable.

The Dubai team operates with transparent pricing and short iteration cycles, making SoluLab a pragmatic choice if you want to launch a customer-facing AI assistant within weeks. They have built RAG-enabled bots for real estate FAQ search, healthcare appointment triage, and legal document Q&A, all with Arabic language support via translation layers or native Arabic embeddings.

10. Derq

Derq is a homegrown UAE company working at the intersection of AI and smart mobility, building systems for traffic safety and urban transportation planning using real-time data. It's a narrow specialization, but a genuinely interesting one if your project sits in government-adjacent transport or infrastructure rather than general enterprise software.

11. Gravity Base

Gravity Base has built a reputation with banks and legal firms that need AI systems designed around regulatory compliance and financial security from the first line of code, rather than compliance bolted on after launch. For fintech or legal-sector clients operating under UAE PDPL and DIFC data rules, that compliance-first posture is worth more than a longer feature list from a generalist competitor.

Global Outsourcing Firms With UAE Delivery Teams

The last category is the one most "top 15" lists blur into the others without disclosure: companies headquartered outside the UAE, often in Vietnam, India, Poland, or the US, that serve UAE clients through remote or hybrid delivery teams.

Openxcell, Kyanon Digital, Code Brew Labs, and Bacancy Technology all fall here, alongside dozens of similar firms competing mainly on hourly rate, typically in the $20 to $50 per hour range according to their own published pricing.

There's nothing wrong with hiring one of these firms. Many have genuine LLM integration experience and can be considerably cheaper than a UAE-based agency for the same scope of work.

The issue is transparency: several of the highest-ranking "best LLM company in UAE" articles are published by exactly these firms, and none of them disclose that they aren't UAE-headquartered before ranking themselves at the top of a UAE-specific list.

If data residency, in-person collaboration, or working within a UAE legal entity actually matters for your project (and for anything touching government or regulated data, it usually does), confirm where the delivery team physically sits before signing, not after.

A Quick Comparison:

Company	Best For	What to Verify Before You Sign
G42 / Core42 / Inception	Government, banking, and enterprise projects needing national-scale compute and sovereign Arabic LLMs	Engagement minimums; this tier is not built for small pilot budgets
Saal.ai	Arabic-first NLP, government knowledge management, law enforcement and healthcare document intelligence	Whether your use case is genuinely Arabic-NLP-first or a general chatbot with an Arabic UI
75way Technologies	Startups through mid-market enterprises wanting broad AI capability from one Dubai-based team	Team size and client claims, since these are self-published figures
LeewayHertz	Custom LLM applications and generative AI products needing real model customization	Whether prior work was genuine fine-tuning or prompt engineering on a base model
Derq	Smart mobility and traffic-safety AI for government-adjacent transport projects	Fit only applies if your project is transport or infrastructure specific
Gravity Base	Fintech and legal-sector AI built around regulatory compliance from day one	Direct evidence of PDPL and DIFC-specific compliance work, not general security claims
Openxcell, Kyanon Digital, and similar outsourcing firms	Cost-sensitive projects where remote delivery is acceptable	Physical location of the actual delivery team and data residency guarantees

What This Actually Costs in 2026

Pricing in this market varies by an order of magnitude depending on what "LLM development" actually means for your project, so treat any single number with suspicion until you've matched it to your own scope.

At the low end, a basic AI chatbot built by a Dubai agency typically runs AED 15,000 to 40,000.

A recommendation engine or predictive dashboard sits in the AED 60,000 to 150,000 range, and enterprise-grade systems involving genuine LLM fine-tuning, computer vision, or multi-system integration commonly exceed AED 150,000, according to 2026 pricing benchmarks published by Dubai-based agencies.

Outsourcing firms outside the UAE generally quote by the hour, with published rates clustering between $20 and $50 per hour depending on seniority and specialization.

📊 AED 280,000 to 420,000: mid-to-senior AI and ML engineers in the UAE now command this annual salary range, according to 2026 regional compensation benchmarks, with senior specialists and leads reaching AED 450,000 to 750,000-plus at sovereign-backed employers like G42, Mubadala, and TII. That single figure is the real reason most companies hire an agency instead of building an in-house team: recruiting even two or three senior LLM engineers can cost more per year than most agency engagements cost end to end.

That comparison is worth sitting with before you default to hiring in-house. Unless your organization plans to build LLM capability as a permanent, ongoing competitive advantage, the math tends to favor an agency or platform partnership for a first project, with an internal hire coming later once you know what you actually need to maintain.

The Compliance Layer Nobody's Best-Of List Mentions

Almost none of the popular "top LLM companies in UAE" sources mention the regulatory deadline that will define serious AI vendor selection through the rest of 2026, so it's worth spelling out in plain terms.

The UAE's Personal Data Protection Law, Federal Decree-Law No. 45 of 2021, has technically been in force since January 2022, but full compliance is required by January 1, 2027, with administrative fines reaching AED 5 million for serious violations.

In June 2026, the UAE Cabinet moved to establish a new Federal Authority for AI and Data, absorbing the existing Data Office and signaling that enforcement is moving from theoretical to active.

On top of the federal PDPL, the DIFC and ADGM free zones run their own separate data protection regimes, so a vendor that's compliant under one framework isn't automatically compliant under another.

For AI deployments specifically, this matters in three concrete ways. Personal data used to train or operate a model needs a documented lawful basis, not just a general privacy policy.

Cross-border data transfers are restricted unless the destination country has an adequate protection standard or contractual safeguards are in place, which means a vendor processing your customer data on a US server without a specific legal instrument is a compliance exposure, not a minor technicality.

And automated decision-making that has legal or similarly significant effects on a person triggers a right to explanation that your vendor needs to be able to support technically, not just promise contractually.

⚠️ Watch Out: If a prospective vendor gets vague when you ask specifically where your data will be hosted, whether they've run a Data Protection Impact Assessment for AI-driven processing, and how they'd handle a data subject access request, treat that as a real red flag rather than a detail to sort out later. With the compliance deadline now inside an 18-month window, "we'll figure it out during implementation" is no longer an acceptable answer from a serious partner.

Common Mistakes Businesses Make When Hiring an LLM Partner

You should take notes of these mistakes and make sure to avoid them at all costs:

Confusing a chatbot wrapper with an LLM development partner.

A huge share of the market, both locally and among the outsourcing firms serving UAE clients, is built on calling an existing model's API and adding a UI. That's a legitimate product for simple use cases, but it's not the same capability as fine-tuning, RAG architecture on private data, or building domain-specific models. Ask directly whether a vendor has shipped custom model work or only integration work, because the pitch decks often blur the line.

Skipping the Arabic quality test.

Plenty of agencies claim Arabic NLP capability because they can technically run an Arabic prompt through GPT. That's different from handling dialect variation, right-to-left UI rendering, and culturally accurate tone, which is exactly the gap Jais and Saal.ai were built to close. Before signing, run a real Arabic conversation through a vendor's existing product, not just their English demo.

Ignoring where the data physically lives.

As covered above, this is now a compliance question with real fines attached, not a nice-to-have. Get the hosting location and data residency answer in writing before the contract, not after.

Choosing on price alone in a market with a wide skill gap.

The distance between an agency that resells the same GPT-wrapper template to every client and one that actually engineers RAG pipelines and evaluation frameworks is enormous, and it usually shows up in the quote. A price dramatically below the AED 60,000 to 150,000 range for genuinely custom work is worth questioning rather than celebrating.

Assuming post-launch support is included.

Models drift as real-world data shifts, and a vendor with no retraining, monitoring, or performance auditing offering will leave you with a system that degrades quietly over months. Ask what happens after go-live before you ask what happens at launch.

How to Actually Vet a Shortlist

Once you've narrowed the field using the categories above, a short, direct set of questions does more work than another round of case study review.

Ask for a reference client in your specific industry, not just their most impressive logo. An agency great at retail chatbots isn't automatically competent at medical document intelligence or fraud detection.
Ask exactly where the delivery team sits physically, especially for firms in the global outsourcing category, and confirm that in the contract.
Ask how they handle PDPL, DIFC, or ADGM compliance specifically for your data type, and expect a concrete answer involving DPIAs and documented legal bases, not a general assurance.
Ask what retraining, monitoring, and drift detection looks like after launch, and get it priced separately if it isn't included.
Ask for one project where the model failed or underperformed initially, and how they diagnosed it. A partner with no failure story to tell probably hasn't shipped enough to have learned from one.

To further verify, go and request a short, paid proof of concept before committing to a full build, even with a highly recommended agency.

Two to three weeks against a real slice of your data will tell you more about a vendor's actual Arabic-NLP and RAG competence than any number of client logos on their homepage.

Where This Leaves You

There is no single best LLM development company in the UAE, and any list that hands you one without asking what you're actually building is skipping the part of the job that matters.

What exists instead is a layered market: G42 and Core42 for sovereign-scale and government work, Saal.ai for Arabic-first and public-sector NLP, a real bench of Dubai-headquartered agencies like 75way, LeewayHertz, Derq, Gravity Base, and others for mid-market builds, and a wide field of international outsourcing firms competing mainly on price.

Match your project to the right tier, verify the claims that vendors make about themselves rather than repeating them, and put the January 2027 PDPL deadline on your evaluation checklist alongside the usual questions about cost and timeline.

Do that, and you'll end up with an LLM development partner in UAE that is best suited to what you're actually building, not just the one that ranked itself first.

The Executive Guide to Bleisure Travel in Bangkok

2026-07-15T05:21:00.000-04:00

The traditional boundaries between corporate obligations and personal downtime have officially dissolved. For modern executives flying into Southeast Asia, the quick turnaround business trip is rapidly being replaced by extended stays.

These longer visits seamlessly combine high-stakes meetings with premium relaxation. Bangkok has quickly emerged as the epicentre of this movement, offering an unmatched mix of sophisticated financial infrastructure, cultural depth, and elevated hospitality.

Driven by younger corporate leaders, often referred to as "Next-Gen Navigators", purpose-driven travel that blends work and authentic cultural experiences is now the expected standard.

Suvarnabhumi Airport provides seamless connectivity to major global capitals, making the city an ideal anchor point for regional operations.

The Economic Shift Towards Blended Travel

The concept of mixing business with leisure is no longer just a minor perk for entry-level remote workers. It has become a strategic lifestyle choice for senior leaders and entrepreneurs. The sheer scale of this shift is heavily backed by recent market data, reflecting a broader evolution in corporate culture.

According to a comprehensive report from Mordor Intelligence, the global bleisure travel market is valued at USD 611.72 billion in 2025 and is forecast to reach USD 963.88 billion by 2030, registering a 9.5% compound annual growth rate.

In the Asia-Pacific region specifically, the broader travel market is projected to reach $555.4 billion by 2027. Recent industry surveys reveal that 55% of corporate travellers took at least two blended business and leisure trips in 2024 alone.

Nearly 70% of regional business professionals actively extend their corporate trips to include personal downtime. For multinational companies, offering this flexibility is increasingly viewed as a critical benefit necessary to retain top executive talent and prevent corporate burnout.

Selecting Your Executive Base in the Capital

When managing overseas operations or attending regional summits in Thailand, location and convenience are paramount. For professionals seeking a premium luxury hotel in Bangkok has to offer, the Sathorn district stands out as the primary financial and diplomatic centre. This prestigious area houses the regional headquarters of major global banks, such as Standard Chartered and Citibank, alongside numerous international embassies. Executives require properties that cater specifically to the blended itinerary, providing professional environments without sacrificing world-class amenities.

When choosing an executive base in districts like Sathorn, high-performing professionals should prioritise the following features:

Dedicated Business Lounges: Access to quiet, high-tech club spaces is essential for taking international video calls across different global time zones.
Versatile Meeting Facilities: The ability to host local clients on-site in sophisticated, private rooms saves hours of commuting through heavy city traffic.
Integrated Wellness Programmes: World-class spa facilities and modern fitness centres are critical for unwinding and maintaining physical health after intense negotiations.
Premium Dining Options: Having top-tier culinary experiences, such as authentic teppanyaki restaurants or panoramic rooftop bars, allows for impressive client entertainment directly at your accommodation.

Visas and Policies Facilitating Longer Stays

The Thai government has proactively adapted to the influx of extended corporate visits. Late in 2024, Thailand introduced the Destination Thailand Visa, widely known as the DTV.

Designed specifically for executives, remote workers, and digital nomads, this programme offers a generous five-year validity and allows for continuous stays of up to 180 days.

Before this innovation, many business visitors found themselves constrained by traditional tourist waivers or complex work permit applications.

Within its first year of launch, the visa successfully attracted over 35,000 applicants. By requiring applicants to demonstrate guaranteed liquid savings of at least 500,000 THB (approximately $14,500 USD), the initiative has successfully positioned the country as a premium hub for established professionals and high-earning freelancers.

This forward-thinking policy entirely eliminates the administrative burden of short-term visa runs, letting foreign leaders legally manage their overseas businesses while enjoying an elevated, uninterrupted lifestyle.

A Thriving Hub for Corporate Investment

Beyond the obvious lifestyle perks, spending extended time in Bangkok makes strong financial sense for multinational operations.

During the first half of 2025, foreign direct investment applications in Thailand jumped by 139% year-on-year to reach a record 1.06 trillion baht ($32.5 billion).

The city offers highly competitive operating expenses. Prime office occupancy costs in Bangkok run 1.5 to 3.5 times lower than in comparable regional markets like Singapore or Hong Kong.

As the government continues to heavily invest in the Eastern Economic Corridor, the region surrounding the capital is rapidly transforming into a high-tech manufacturing and smart city hub for the entire ASEAN bloc.

This strategic initiative focuses on advanced industries, including robotics and digital innovation, creating abundant opportunities for forward-thinking entrepreneurs.

For today's corporate leaders, spending a few weeks in Bangkok offers the perfect balance. You can oversee significant investments, connect with key regional partners, and still find time to recharge in one of the world's most dynamic cities.

Xiaomi Launches HyperOS 3.3 Update Based on Android 17 for Flagship Phones

2026-07-15T05:15:00.000-04:00

Xiaomi started rolling out the HyperOS 3.3 update based on Android 17 today for several of its top-tier smartphones.

The update moves past the closed testing phase into a public release for global and European users.

The rollout affects the Xiaomi 17 and Xiaomi 17 Ultra directly as a general public package.

The Xiaomi 15T Pro global variant receives the software through the Mi Pilot testing channel, which limits initial access to a small group of users before a wider release begins.

According to the official changelog tech platform Ximitime shared, the software does not include major visual redesigns or new consumer-facing features.

The documentation states that the update:

"mainly focuses on improving system stability and adds the June 2026 security patch."

The new build functions as an underlying architectural preparation for the upcoming HyperOS 4 platform, which arrives later this year.

Because the package installs an entirely new Android version, file sizes span from 7.5 gigabytes to 9.5 gigabytes.

An early user on the online forum Reddit shared their experience after installing the package on a Xiaomi 17 Ultra device.

The user stated:

"Just recieved the update to Android 17. It does not have any noticeable new features. But the system has definitely been polished. Animations are smoother and more natural. Apps open much quicker, almost instantly. Scrolling is smoother and faster. Media loads much better and faster. Haptics are more refined and feel more in sync with the system."

The global variant of the Xiaomi 17 Ultra receives build number OS3.0.332.0.XPAMIXM, which requires a 9.5-gigabyte download.

The European version of the same device shares the same file size and runs under the build identifier OS3.0.332.0.XPAEUXM.

For the standard Xiaomi 17 model, the global update carries build number OS3.0.332.0.XPCMIXM.

The European version uses build number OS3.0.331.0.XPCEUXM. Both regional updates for the standard model require 7.5 gigabytes of free storage space.

Users of the Xiaomi 15T Pro who participate in the Mi Pilot channel can download build OS3.0.331.0.XOSMIXM.

This package also measures 7.5 gigabytes and upgrades the phone to the Android 17 base framework.

Xiaomi deploys its system updates in staggered phases to ensure device safety and monitor unexpected bugs.

Device owners can check for the update by opening the settings application, selecting the about phone menu, and tapping the operating system logo.

Xiaomi Android 17 HyperOS 3.3 Update Analysis

This video provides a detailed breakdown of the update features, eligible devices, and regional rollout timelines.