TL;DR
Anthropic cut its unauthorized share platform list from eight to four after causing panic among investors. It raised $65B at $965B the same week.
Anthropic cut its unauthorized share platform list from eight to four after causing panic among investors. It raised $65B at $965B the same week.
Anthropic updated its warning about unauthorized secondary market platforms selling its shares, cutting the list from eight firms to four. The revised version names only Open Door Partners, Unicorns Exchange, Pachamama, and Upmarket. Several of the most prominent names in private market trading, including Hiive, were removed.
The original notice, published earlier this month, stated that any sale or transfer of Anthropic stock by the named platforms was void and would not be recognised on the company’s books. The warning applied to both preferred and common stock. It was the first time a major AI company had publicly named specific platforms as unauthorized.
The result was chaos. Publicly traded funds that marketed exposure to Anthropic shares plunged. Private brokers scrambled to reassess positions. Investors who had purchased Anthropic stock through the named platforms were suddenly unsure whether their shares had any legal standing.
Sim Desai, CEO of Hiive, pushed back publicly on LinkedIn. He wrote that his platform does not facilitate share transfers “without the company’s approval.” After Hiive’s name was removed, Desai wrote that the original post had caused confusion among investors and damage to his company’s reputation.
“Had Anthropic approached us before their aggressive new stance and corresponding public statements (they did not), we would have gladly worked with them to deliver a unified message to the market,” Desai wrote. The criticism is pointed: Anthropic named platforms without contacting them first.
Both Anthropic and OpenAI have long included transfer restrictions in their shareholder agreements. The fine print was widely overlooked by buyers eager to gain exposure to pre-IPO AI companies. Anthropic’s decision to publicly name specific platforms turned boilerplate legal language into a market-moving event.
Anthropic shares were already trading at an implied $1 trillion on secondary markets in April, driven by revenue acceleration from $9 billion to $30 billion ARR in one quarter. The demand for Anthropic stock has been so intense that sellers were naming prices at $1.15 trillion implied valuations. The unauthorized platform warning hit a market that was already overheated.
The timing of the walkback is notable. On Thursday, Anthropic announced a $65 billion funding round that valued the company at $965 billion including the new investment. That valuation eclipses rival OpenAI for the first time. The company is simultaneously raising the largest private funding round in history and fighting over who is allowed to sell its shares.
The $965 billion valuation represents a staggering trajectory. Anthropic closed its Series G at $380 billion in February. Three months later, secondary markets priced it at $1 trillion. The primary round at $965 billion sits between those two figures, validating the secondary market pricing that the unauthorized platform warning was designed to suppress.
The contradiction is structural. Anthropic needs secondary market liquidity to attract and retain employees whose compensation includes equity. It also needs to control who trades its shares to maintain governance, comply with securities regulations, and manage its cap table ahead of a potential IPO. The original warning overshot on control and caused collateral damage to legitimate platforms.
Anthropic is in early IPO talks with Goldman Sachs, JPMorgan, and Morgan Stanley, with a listing as early as October. Managing the secondary market is a prerequisite for a clean public offering. But naming and shaming platforms without prior contact, then quietly removing half the list after the backlash, is not the approach of a company that has its pre-IPO communications strategy under control.
Anthropic did not respond to Bloomberg’s request for comment. The four platforms that remain on the list, Open Door Partners, Unicorns Exchange, Pachamama, and Upmarket, have not publicly responded. The investors who bought shares through the removed platforms now have clarity. Those who bought through the four that remain do not.
SPONSORED POST: Come join this working afternoon for infrastructure teams
Your hybrid estate has grown more complicated since the last refresh cycle. Some workloads run in the public cloud, others never left the rack, and a few sit stuck in transition because nobody wants to be the person who broke the database. Add AI to the pile and the platform questions only get harder.
Nutanix Tech Day is a half-day event designed to help the people who have to deal with increasingly complex infrastructure.
Date: Wednesday, June 24, 2026
Time: 12pm to 6pm BST
Place: Prospero House, Southbank, London
Registration is free and includes lunch, refreshments, and time set aside for networking.
The agenda runs through the headline announcements and key takeaways from Nutanix .NEXT Chicago 2026. Then you’ll get technical sessions on disaster recovery, data sovereignty, hybrid multicloud management, operational automation, and enterprise AI use cases that have shifted from slideware into production budgets.
The tracks split so you can pick the sessions aligned to your priorities and skip the rest. If you have ever sat through a vendor day waiting for the one talk relevant to your stack, try this instead.
Customer sessions are especially worth turning up for. The Bunker and London Gatwick Airport will walk attendees through what they have done with Nutanix in production, and talking to people who run the platform day to day is the cheapest form of due diligence you will find.
This event is for infrastructure engineers, technical architects, systems administrators, and cloud professionals. Security and compliance leads have reason to attend too, given the disaster recovery and data sovereignty material on the agenda.
The event puts you in a room with peers tackling the same problems and with the engineers who have run these platforms in production, the kind of conversation that rarely transfers to a video call. You can put questions directly to Nutanix specialists in an interactive setting, which tends to be the part of these days that justifies the train fare.
The 12pm start gives you half a day out of the office to meet some interesting people, lunch included, and a working list of things to try when you get back. The tote bag is optional.
Discover practical insights from Nutanix experts and industry leaders on AI infrastructure, hybrid multicloud, modernisation, and operational resilience. Register now.
Sponsored by Nutanix.
When did you last step off the scales feeling like you actually understood what the number meant, rather than just hoping it was moving in the right direction?
RENPHO Smart Scales are at their lowest price for Prime Day
RENPHO Smart Scales are at their lowest price for Prime Day


The RENPHO MorphoScan Smart Body Scale is built to answer that question, using Bioelectrical Impedance Analysis to track over 13 metrics including muscle mass, visceral fat, body water percentage, and metabolic age alongside your weight.
It’s down to £89.99 from £109.99 during Prime Day, saving you £20 at its lowest price ever on Amazon, which makes this the most accessible the MorphoScan has been since it launched.
Those metrics sync automatically over Bluetooth and Wi-Fi to the RENPHO app, which converts your readings into visual trend charts so you can see week on week whether your training is shifting body composition or just fluctuating water weight.
The app connects natively with Apple Health, Fitbit, and Google Fit, so the MorphoScan slots into whatever health ecosystem you’re already using without asking you to abandon anything you’ve built up.
It also supports unlimited user profiles and recognises each family member automatically when they step on, meaning one device handles an entire household without anyone needing to manually switch accounts or scroll through a settings menu.
The platform itself is built around high-precision sensors housed in a design that sits cleanly in a modern bathroom, so it doesn’t feel like a compromise between function and the way the room looks.
The fact that over 700 verified Amazon buyers have settled on a 4.2-star average for the MorphoScan is the kind of signal that matters more than a spec sheet when you’re choosing something you’ll step on every morning.
If you’ve been tracking progress the hard way and want something that finally gives you a full picture, the £16.50 saving makes the RENPHO MorphoScan a genuinely strong buy before the Prime Day window closes on 26 June.
PUBLIC SECTOR
Data suggests firms are turning away from CEST as critics say it fails to reflect recent court rulings
Use of HMRC’s own tool for checking compliance with the UK’s controversial IR35 freelancer tax rules has fallen sharply, according to Freedom of Information data obtained by tax adviser IR35 Shield.
The Check Employment Status for Tax tool, better known as CEST, was created to help firms decide whether contractors should be taxed like employees. But usage fell 43 percent during the 2025-26 tax year, and dropped 71 percent between 2023-24 and 2024-25, from 458,894 determinations to 135,178.
The findings suggest that firms continue to abandon CEST in favor of alternative status assessment solutions and more comprehensive compliance processes, IR35 Shield said.
CEO Dave Chaplin said: “The majority of firms we speak to for the first time are either lifting blanket bans or seeking to move away from using CEST, having realized it is not compulsory to use, nor does it give them the level of certainty they need.”
The decline is not the result of changes to the tool or legislation, according to IR35 Shield.
“The underlying CEST logic has not been updated since November 2019 and was based on HMRC’s view of the law at that time. Despite the courts dismissing HMRC’s position in key areas, upon which the tool was based, the tool has not been updated,” Chaplin said.
IR35 Shield pointed out that HMRC lost a recent employment status case with Professional Game Match Officials Limited (PGMOL). Entering the facts of the case into CEST would have produced an indeterminate result, it said.
In 2022, the Public Accounts Committee Committee (PAC) found that central government was spending hundreds of millions of pounds to cover tax owed for individuals wrongly assessed as self-employed. “Government departments and agencies owed, or expected to owe, HMRC £263 million in 2020-21 due to incorrect administration of the rules,” the House of Commons spending watchdog said.
Part of the compliance problem was down to HMRC’s guidance and the CEST tool. “Some questions within CEST were difficult to interpret correctly, and the guidance was long, too general in scope and not integrated into CEST itself,” the PAC said.
In a statement sent to The Register, a spokesperson at HMRC, said:
“We always expected use of the tool to reduce as employers familiarised themselves with the 2021 off-payroll working reforms, and the majority of those who use the tool are satisfied with the service they receive.
“The tool is rigorously tested against case law and we’ll stand by the tool’s results, so long as the information provided is correct in accordance with our guidance.” ®
Electrek reports:
Tesla wants to sell modular AI data center hardware, according to a new trademark application for a product called “Megapod.” The filing describes a complete, self-contained computing system for AI workloads…
Tesla filed the “Megapod” trademark (serial number 99893717) with the U.S. Patent and Trademark Office this month, through its longtime IP counsel. It’s an intent-to-use application, meaning Tesla is claiming the name for a product it hasn’t launched yet. The goods-and-services description is unusually specific for a trademark. Megapod covers “modular data center hardware systems for artificial intelligence computing, comprised of computer servers, computer hardware for artificial intelligence data processing, networking equipment, power distribution units, and cooling systems.” It also covers “self-contained modular computing hardware systems for artificial intelligence workloads,” integrated platforms sold as a single unit — an enclosure bundling compute, power distribution, and cooling — and downloadable software to monitor, manage, and optimize those systems.
In plain terms: Tesla wants to sell a turnkey AI data center building block. Not a battery, not a chip on its own, but the full rack-and-room of servers, networking, power, and cooling that AI training and inference run on.
Tesla’s offering would have to compete with Nvidia’s liquid-cooled, rack-scale systems that simulates a giant GPU, the article points out. But “The bigger issue is that Tesla has no merchant compute-hardware business to build on.”
Tesla’s own AI training cluster, Cortex at Gigafactory Texas, runs on roughly 67,000 Nvidia H100-equivalent GPUs. In other words, Tesla is one of Nvidia’s customers, not a competitor selling alternative hardware… Where Tesla does have a real AI-data-center business is power, not compute. Its Megapack and new Megablock energy storage products are selling into AI data centers as grid buffers — Musk’s own xAI has bought roughly $1 billion of Megapacks to keep its training runs powered. That energy-storage strength is the one credible thread here. A Megapod that bundles Tesla’s power electronics, thermal management, and the enclosure — the “shell” around the chips rather than the chips themselves — would at least sit adjacent to a business Tesla actually runs.
Polymarket has been paying online creators to post deceptive videos that show them making lucrative bets on the prediction market, according to a new investigation in the Wall Street Journal.
The WSJ said that it analyzed 1,100 videos about Polymarket and also viewed instructional materials that the company provided to creators. Many of those videos were reportedly filmed on “near-perfect copies” of the Polymarket website, while featuring trades and winnings that were not real. The creator videos were then amplified by a “social-media army” deployed by a marketing contractor.
The WSJ said the company also told those creators not to specify that they’d been paid by Polymarket, although the creators started adding “@polymarket partner” to their bios after journalists began asking questions.
Razeen Khan, a college student and creator who worked with Polymarket until March, compared the practice to commercials that make fast food look more appealing than it is in real life: “We’re depicting what actually happens.”
Polymarket said it is “committed to maintaining accurate, fair, and transparent markets” and plans to conduct an audit of its promotional content.
Looking for the most recent Strands answer? Click here for our daily Strands hints, as well as our daily answers and hints for The New York Times Mini Crossword, Wordle, Connections and Connections: Sports Edition puzzles.
Today’s NYT Strands puzzle has a fun topic, though it might be better suited for October. Some of the answers are difficult to unscramble, so if you need hints and answers, read on.
I go into depth about the rules for Strands in this story.
If you’re looking for today’s Wordle, Connections and Mini Crossword answers, you can visit CNET’s NYT puzzle hints page.
Read more: NYT Connections Turns 1: These Are the 5 Toughest Puzzles So Far
Today’s Strands theme is: Heebie-jeebies
If that doesn’t help you, here’s a clue: Boo!
Your goal is to find hidden words that fit the puzzle’s theme. If you’re stuck, find any words you can. Every time you find three words of four letters or more, Strands will reveal one of the theme words. These are the words I used to get those hints but any words of four or more letters that you find will work:
These are the answers that tie into the theme. The goal of the puzzle is to find them all, including the spangram, a theme word that reaches from one side of the puzzle to the other. When you have all of them (I originally thought there were always eight but learned that the number can vary), every letter on the board will be used. Here are the nonspangram answers:
The completed NYT Strands puzzle for June 22, 2026.
Today’s Strands spangram is GOOSEBUMPS. To find it, start with the G that’s five letters down on the far-left row, and wind up and around.
Access to safe drinking water remains a challenge for billions of people worldwide, but a new invention from researchers in South Korea could make the process much simpler. A self-powered floating capsule that fits in the palm of a hand can reportedly test water quality and disinfect unsafe water without relying on batteries, external power, or chemical treatments.
According to a recent paper published in Nature Water, the device, called the Floating-induced Detection-Guided Disinfection (FDGD) capsule, generates electricity when shaken. An internal magnet moves through a coil to produce enough power to activate a built-in sensor that measures the water’s electrical conductivity, giving users an indication of its quality through a connected smartphone or smartwatch.

If the water passes the initial safety check, the capsule can simply be left floating inside it. Gentle movement from waves or even walking while carrying the container generates static electricity, powering microscopic nanorods on the capsule’s surface. These create strong electrostatic forces that damage the membranes of nearby bacteria and viruses through a process known as electroporation, effectively neutralizing them without adding chemicals.

In laboratory testing involving containers holding up to four liters of water, researchers reported that the device successfully inactivated 99.9999% of bacteria and viruses, including E. coli, across multiple water samples. The technology was detailed in the journal Nature Water, with researchers describing it as an affordable, decentralized solution for regions where conventional water treatment infrastructure is unavailable.
Interestingly, plenty of portable water purifiers already exist, but most depend on disposable filters, chemicals, UV lamps, or rechargeable batteries. This capsule sidesteps all of those requirements by harvesting energy from simple physical movement, making it particularly attractive for disaster relief, camping, remote communities, or humanitarian deployments where electricity isn’t guaranteed.
Of course, the FDGD capsule is still a research prototype and has yet to prove itself outside controlled testing. But if it can be commercialized at the low cost envisioned by its creators, it could put a reliable water testing and purification tool into millions of hands. Sometimes, the biggest breakthroughs aren’t massive treatment plants or billion-dollar infrastructure projects. Sometimes, they’re small enough to fit in your pocket.
As concerns grow about the security implications of future quantum computers, researchers continue searching for stronger sources of cryptographic protection.
One critical requirement involves generating truly unpredictable random numbers that can withstand increasingly sophisticated attacks against modern digital systems.
Fraunhofer IPMS has now introduced a new quantum random number generator designed specifically for security-sensitive environments and high-throughput infrastructure deployments.
The system, known as Q-Dice, generates random numbers using quantum vacuum fluctuations rather than conventional software algorithms that may contain weaknesses.
According to Fraunhofer IPMS, the technology delivers randomness at speeds exceeding 4 Gbit/s, with the hardware appliance rated at 4.1 Gbit/s.
Random number generation forms a fundamental component of encryption, authentication, secure communications, and access control systems throughout modern digital infrastructure.
Weak or predictable randomness can undermine otherwise robust security mechanisms, creating opportunities for attackers to exploit cryptographic vulnerabilities.
Because Q-Dice randomness originates from quantum vacuum fluctuations rather than a mathematical formula, there is no underlying pattern for hackers to study.
This means no seed value exists for attackers to calculate, predict, or reverse engineer, regardless of available computing power.
Fraunhofer IPMS says Q-Dice derives entropy from inherently unpredictable quantum effects, producing outputs suitable for applications including data encryption, authentication systems, secure communications, quantum key distribution, and post-quantum cryptography.
The organization claims that generated randomness was evaluated using recognized frameworks, including BSI AIS 20/31 and the NIST SP 800-22 test suite.
The system also carries EAL 3 and PTG 3 classifications, reflecting compliance with security requirements established by Germany’s Federal Office for Information Security.
Unlike many software-based approaches, the platform relies on physical quantum phenomena rather than mathematical procedures intended to simulate randomness.
Fraunhofer IPMS is offering the technology through both dedicated hardware and cloud-based delivery models to accommodate different operational requirements.
The primary hardware version arrives as a 19-inch rack-mounted appliance intended for deployment inside data centers and other controlled computing environments.
The appliance combines quantum entropy generation, signal acquisition, randomness extraction, and system integration within a single platform featuring 10 Gbit/s Ethernet connectivity.
Fraunhofer IPMS said the development process remained entirely in-house, covering optical subsystem design, low-noise analog electronics, high-speed data acquisition, and FPGA-based post-processing.
For organizations unwilling to install dedicated equipment, the institute also provides an online Entropy-as-a-Service offering delivering quantum-generated randomness through a secure interface.
“With Q-Dice, we make high-quality quantum randomness practically usable and accessible,” said Alexander Noack, Division Director Data Communication and Computing at Fraunhofer IPMS.
“Whether as a robust 19-inch rack system integrated into your own infrastructure or via our online Entropy-as-a-Service platform, we are removing the barriers to adopting quantum-level security.”
Fraunhofer IPMS is now actively seeking partners to pilot the technology and help build practical, real-world applications around it.
Noack added that the goal involves working collaboratively to raise the overall bar for security and trust as quantum computing capabilities continue advancing.
Whether Q-Dice becomes a standard component in next-gen security infrastructure, or remains a niche tool, depends on how quickly organizations recognize the urgency of post-quantum preparation.
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It’s no secret that Snap has been working on a pair of AR-powered smart glasses for quite some time now – the dev kits for the hardware have been available for the past few years, and CEO Evan Spiegel always claimed that they’d be available by the end of 2026.
Well, we’ve just had our first official look at the super high-tech Specs – specs that Snap spent literally billions of dollars on over years of R&D – ahead of release later this year and, let’s just say, reactions are… mixed.
There’s no getting around it; the glasses don’t look as sleek or as stylish as many were expecting, especially with companies like Meta and Ray-Ban coming out with some pretty slick-looking (albeit comparatively basic) smart specs. It’s actually the opposite; the glasses are massive, chunky and look overly large on the head – even when modelled by Spiegel on stage at the announcement.
As you’d expect, the reaction memes are strong, and opinions are divided online. Even Snap’s stock dropped by 5% after the announcement, suggesting that Snap might’ve been drinking its own kool-aid for a little too long, focusing too much on the smarts and not the fact that, y’know, these actually need to be worn, in public, where people can actually see them on your face.
The problem is that I know the software experience on the Specs is fantastic, unlike anything else I’ve ever seen or used – but will people actually give it a go when they look like that? I think we all know the answer to that question.
Back in September 2025, I got to try the Spects dev kit at Snap’s London HQ, and Snap OS 2.0 feels closer to the sci-fi AR we were promised a decade ago than anything I’ve used since. While most rivals are serving up green, single‑colour overlays and static notification panels, Snap is running a full operating system that understands the world around you.


Full‑colour graphics aren’t just floating in your periphery; they’re anchored to real objects and surfaces. Pin a window next to your desk or drop a widget onto a coffee table and it stays there, even as you look or walk away. It sounds like a small thing, but that persistence makes the specs feel like genuine mixed‑reality interfaces rather than glorified heads‑up displays.


Then there’s the built-in AI, which, believe it or not, is actually quite good. Much like Google Gemini’s Live Mode on mobile, Snap’s Spatial Tips feature doesn’t just answer questions in a floating chat box; it understands what you’re looking at and overlays help directly onto it.


When I asked how to do an ollie on a skateboard, it didn’t spit out a wall of text – it drew the steps onto the board itself, showing where my feet should go at each stage. The same approach applies to things like flat‑pack furniture, car engines or household repairs: you look at the thing you’re stuck on, and the instructions appear right where you need them.


On top of that, real‑time translation features can caption conversations and translate signs or menus with real-world overlays, with text that sticks to people and objects as they move. Compared to the mostly static, widget‑driven software on Even Realities’ G2 or Rokid’s AR specs, Snap OS 2.0 feels way more polished, mature and genuinely useful.
So when I say Snap’s software is leagues ahead of the competition, I really do mean it.
Comparing the Snap Specs to existing smart glasses like the Meta Display specs and Even Realities G2 is like comparing an iPhone 17 Pro to a Nokia 3410; they’re in totally different leagues.


In fact, in terms of the tech and mixed-reality experience on offer, they’re closer to the likes of the Apple Vision Pro and Samsung Galaxy XR – relatively large VR-style headsets that you certainly couldn’t wear on a night out or a trip – than existing smart glasses.
Like the proper headsets, Snap’s specs have high-end full-colour screens rather than the single-colour panels used by most existing manufacturers, and like those headsets, it can run a plethora of first- and third-party apps – there’s a reason why Snap got those dev kits out so early, after all.


It actually goes a step further with its semi-transparent lenses, rather than using passthrough camera feeds and regular screens like the existing ultra-premium headsets. With electrochromic dimming on the lenses, it’s not hard to imagine they could offer a more immersive mode for watching movies and the like.


When you look at the Specs through that lens (pun intended), they look more like a phenomenal feat of engineering than a bulky pair of smart glasses.
Snap has tried its best to frame these as fashionable, collaborating with the likes of Kaia Gerber, Jimmy Butler, Imogen Heap, Jack Harlow, and Hoyeon to model the Specs in marketing images – but, let’s be honest, they’re still some pretty ugly.


Compared to regular glasses that most people currently wear, these are much thicker – not just in the frame housing the screens but also in the arms of the glasses. The arms also look way longer than they should – on Spiegel’s head at the reveal, anyway – with very little in terms of a hook at the end to wrap around your ear for extra stability.
The slightly rounded, curved shape of the specs is quite nice in my eyes, but they’re just too big, chunky and obviously-smart to be worn by the average Joe. And with an eye-watering price tag of £1,995/$2,195, they’re not attainable for the average consumer either.


Of course, these are first-gen specs, and if Snap does power through and keep iterating on the design and hardware, this is the worst the Specs will ever be.
Just think about how much better the Apple Watch Series 11 is compared to the Apple Watch – it’s the same here. The core concept is there, and Snap’s software is a shining beacon in a sea of lazy AR concepts; it just needs the time to properly cook.


That said, I reckon the Snap Specs will be a big hit with die-hard techies with money to burn, and I imagine I’ll be seeing execs from companies sporting the Specs at events like MWC in 2027 – but will I see anyone actually wearing them in day-to-day life? I doubt it, and that’s a shame.
I’ve spent years messing with in-game brightness sliders, GPU filters, HDR modes, and monitor presets to tinker with my experience on my favorite games. Of course, I’d always go with the original artists’ intent first, but replaying these titles with new filters does freshen up the atmosphere.
This is why I was particularly impressed by BenQ’s new MOBIUZ gaming monitors. During a recent visit to BenQ’s Taiwan HQ, I got a hands-on look at the company’s latest AI-powered game filter tech, and it immediately made more sense than I expected. The company isn’t just slapping on the “AI” sticker onto a gaming display. What you are getting here is custom touches to change up your experience by pulling from BenQ’s game art database that automatically tunes brightness, contrast, and color balance to match the game’s visual style. The fun part is that your performance doesn’t take a hit.

When you use GPU-side filters, such as Nvidia’s Game Filters, your graphics card is still involved in the post-processing pipeline. Those tools can make a game look sharper, moodier, or more vivid, but they can also come with a performance cost depending on the setup. BenQ takes a different route by moving this job to the display itself. Its Smart Color system works through the Color Shuttle software and uses an AI chipset with BenQ’s MOBIUZ Game Color Database.
So rather than applying a GPU-level filter to the rendered frame, it adjusts the monitor’s own output using game-specific visual profiles. In practice, you can make a game look richer or more balanced without worrying that the filter itself is quietly eating into your frame rate. Considering how precious those extra fps can be for a lot of PC gamers, the visual filter makes sure you don’t lose any of it.

The part I liked during the demo was that BenQ is not treating this like an old-school FPS/RPG/Racing preset menu. Those have existed forever, and most of them are either too aggressive or too generic. Color Shuttle is built around a game art database with more than 120 profiles. BenQ says it uses deep learning to understand color grading, lighting, and artistic direction across different game styles. Once Smart Color is enabled, it can detect what you are playing and switch to a suitable profile automatically.
You can also tweak those settings yourself, including familiar BenQ tools like Color Vibrance and Light Tuner that let you shift the image toward your preference. Again, “better colors” has always been a subjective thing. One player may want a horror game to look darker and moodier, while another may prefer better shadow visibility. Someone else may want open-world games to look more cinematic. BenQ’s system gives you a starting point, then lets you tune from there.

One of the best parts of Color Shuttle is cloud sharing. You can save custom presets, upload them, and share them with other players. Other users can then download those setups for their own compatible monitors. This gives the feature a social side. Imagine downloading a profile for a specific game because another player has already found a better balance for night scenes or other scenes.
But that also explains why the internet connection is part of the story. Color Shuttle connects to BenQ’s Game Color Database, and the cloud side is used for saving and sharing profiles. The AI tuning is not the same thing as cloud gaming or streaming, but the ecosystem still depends on BenQ’s online database and community layer.
Still, there are some limitations. Color Shuttle is currently a Windows 10/11 app, and console users need to save presets to the monitor’s Gamer modes through a PC before using them elsewhere. Regardless, I like where BenQ is going here. A lot of AI gaming features feel too heavy or too tied to expensive GPU upgrades. Smart Color is smaller, but also more practical.
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