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Trump suggests rebranding AI with a new name, says he’s also creating an AI Force

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President Donald Trump has responded in characteristic fashion to the recent debate around AI safety — by declaring that these concerns are part of a long line of hoaxes “generated by the Radical Left Dumocrats, for purposes of destroying our Country.”

On Saturday, Trump began his musings on AI by writing on his social network Truth Social that “many people think that the words ‘Artificial Intelligence’ are inaccurate, and very ineloquent, relative to AI, or Artificial Intelligence.” So he posted a poll where followers could vote on a new name for the technology — Superior Intelligence, Extreme Intelligence, or Supreme Intelligence.  (The poll is still ongoing as of publication time) 

A couple hours later, Trump followed up with a post claiming that attempts at “the decimation, or destruction, of AI” are one of “many” Democratic hoaxes, similar to “RUSSIA, RUSSIA, RUSSIA, UKRAINE, UKRAINE, UKRAINE, Global Warming, Impeachment Hoax #1, Impeachment Hoax #2, Men in Women’s Sports, [and] Transgender for Everyone.”

Trump then insisted that he “will not stand by and let this happen,” adding that this so-called hoax “began with an attack on our Data Centers, until people realized how wealthy and prestigious they were for the Communities in which they were built.” But after, in his telling, “the crazed Data Center attack has largely failed,” critics are “going straight at AI.”

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Trump did not offer any evidence to back up his claim that widespread suspicion of AI and data centers is not organic and sincere. (Both Republicans and Democrats have taken aim at data centers, and New York recently became the first state to halt permits for large projects.)

The president’s post also echoes his comments at a golf tournament last weekend, when he said he’s open to “guardrails,” but also argued, “I think you have a lot of negative forces that are bringing it up that shouldn’t be bringing it up.”

On Saturday, Trump went on to say that he will “cherish [the AI industry,] help it, and watch over it, as it grows,” but he’s also forming an AI Force, similar to the Space Force that he established in his first term.

“To that end, I will be announcing, in the near future, the AI ‘Czar’ — Only High I.Q. individuals need apply!” he added.

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The president did not say what the AI Force and AI czar’s duties will entail. Venture capitalist Daivd Sacks stepped down as Trump’s AI and crypto czar earlier this year, moving on to co-chair the President’s Council of Advisors on Science and Technology.

The AI safety debate recently intensified after an AI researcher said he was quitting Anthropic over concerns that the leading AI companies “earnestly believe it could kill us all by the end of the decade” and are “gambling with our lives.” Anthropic CEO Dario Amodei subsequently released a plan to “pace the frontier,” which was seemingly endorsed by OpenAI CEO Sam Altman and SpaceX CEO Elon Musk. Critics of the AI industry have suggested that many of these concerns around the technology’s supposed existential threat are a distraction from AI’s more immediate harms.

Nvidia CEO Jensen Huang, meanwhile, called Trump on-stage during the All-In Summit (which Sacks co-hosts), agreed with the president that the AI backlash is a “hoax,” and insisted that “we’re not going to let” a slowdown happen.

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Valve open-sources Lepton, its Android compatibility layer for the Steam Frame

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First look: Valve has open-sourced Lepton, the Android compatibility layer built for the Steam Frame headset, giving VR developers a way to bring existing Android games to the device without rebuilding them for an entirely different platform. The newly available code also offers a detailed look at how Valve tailors an Android environment for VR gaming on SteamOS, covering everything from graphics access to development and profiling tools.

The code is now available through Valve’s GitLab repository.

The release follows the Steam Frame’s launch and builds on Valve’s March announcement of Lepton alongside the Steam Frame Verified certification requirements.

In purpose, the project resembles Proton, Valve’s tool for running Windows games on SteamOS and Linux, though it takes a different technical route: rather than translating Windows software interfaces, Lepton provides a purpose-built, game-tuned Android environment.

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Valve has kept that environment deliberately narrow. Lepton isn’t designed to turn Steam Frame into a general-purpose Android device, nor does it aim to support every Android app. To keep overhead low, the software disables Android services that aren’t needed for gaming – a trade-off that can affect apps relying on those services.

Lepton is built to work closely with the SteamOS host system, mounting host libraries for graphics drivers, Steam and Steamworks, and Vulkan layers. Valve lists support for graphics stacks including Mesa and Zink, along with Vulkan tooling for foveated rendering and render-pass optimization.

Those capabilities are crucial for VR games, where rendering efficiency and stable frame delivery are central to comfort and image quality. By exposing the host graphics stack to the Android environment, Valve appears to be avoiding some of the overhead that can come with a more isolated container approach.

The project also ships with tools aimed at developers porting games to the platform, including support for debuggers such as strace, GDB, LLDB and RenderDoc, plus Perfetto for performance profiling. The flatscreen application window stays hidden by default, though developers can surface it for testing and troubleshooting.

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Valve says Lepton runs without root access or root-level setup tools, with every process inside a Lepton instance running as the same non-root user. Per the project’s documentation, there’s no enforced isolation between apps within an instance, so each app is expected to run in its own separate Android container.

For developers, the open-sourced code offers a clear window into Valve’s approach to Android game support on SteamOS, including its use of host graphics libraries, Vulkan layers and a reduced Android software stack. It also gives Linux developers a base for experimenting with other uses, though Valve cautioned that those are outside Lepton’s main purpose.

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Coreboot Hikes The Bay Trail To DRAM Initialization

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This article is written on an open-source operating system, but not an open-source machine — the BIOS isn’t open-source, and even if it were supported by the coreboot project (formerly LinuxBIOS), there would still be a whole host of binary blobs required to get it to boot. On one vintage architecture, there’s one less blob, as coreboot can now initialize DRAM on Intel Bay Trail SOCs, as [Mate Kukri] presented in a talk at the recent Open Source Firmware Conference.

Bay Trail isn’t exactly cutting-edge hardware, to be sure — the SoCs are over a decade old at this point, and were only used in low-performance mobile applications like Chromebooks. On the other hand, coreboot has been on Chromebooks for at least as long. Getting DRAM set up is difficult because, well, you don’t have any memory to work with until you do. Traditionally, the way you did that was to call on one of the many proprietary ‘binary blobs’ provided with next to no documentation by the manufacturer. Reverse engineering that requires some serious bus-sluthing, which was done in software with the SerialICE debugger and the Unicorn Engine CPU emulator. The talk focused on that technique and how it might be applied more widely, rather than getting into the weeds of how to do DRAM init on one obsolete SOC. At some point the whole thing should be archived on the OFSC website so those of us not lucky enough to attend in person can hear what [Mate] — and all the other speakers — had to say.

Because coreboot is open, you can do a lot more with it than a proprietary UEFI firmware — for example, you can choose not to initialize RAM at all, and run entirely in the CPU’s cache. You can also — of course — run DOOM. If you want to be binary-blob-free, you’ll need to find hardware supported by the more hardcore Libreboot distribution of coreboot, which admits no binary blobs at all. When it comes to Libreboot, it might actually be easier to install than to find compatible hardware these days.

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12 insurtech start-ups to join 2026 InsTech.ie Foundry programme

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The initiative aims to ‘position Ireland as a leading testbed for insurance innovation by connecting emerging companies directly with insurers, industry experts, investors and experienced founders’.

12 Ireland-based insurance technology start-ups will participate in the second edition of InsTech.ie’s Foundry, a pre-accelerator programme run in partnership with Furthr, one of the country’s four Business Innovation Centres.

InsTech.ie is a national body that aims to connect start-ups, insurers, investors and policymakers to accelerate innovation and help Irish insurtech companies scale globally.

It is supported by 24 insurance industry members, tracks more than 120 Irish insurtech companies, and has eight innovation partnerships, including with IDA Ireland, KPMG and Enterprise Ireland.

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The Foundry initiative is designed to create a direct route between established insurance expertise and younger or smaller companies developing technologies capable of shaping the insurance sector’s future, according to InsTech.ie.

The programme aims to “position Ireland as a leading testbed for insurance innovation by connecting emerging companies directly with insurers, industry experts, investors and experienced founders”, according to its operator.

“The first Foundry cohort showed what can happen when ambitious founders are given direct access to the insurance expertise, networks and decision-makers that can help turn promising ideas into commercially viable businesses,” said Gary Leyden, CEO of InsTech.ie.

“With cohort two, we want to build on that momentum and give another group of companies the opportunity to validate their solutions, develop meaningful industry relationships and accelerate their path to market.

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“Ireland has a unique combination of insurance expertise and technology talent, and the Foundry is about bringing those two strengths together.”

The 12 selected companies, and their technological offerings, are:

Alteric AI

An AI orchestration layer for commercial brokerages to automate workflows across servicing, renewals, claims and new business.

Fairwrite

A start-up aiming to make life and protection insurance more inclusive for people with mental health conditions, disabilities or neurodivergence through a more individualised approach to underwriting.

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Finch AI Systems/LitAgent

An explainable AI platform to support personal-injury reserving and settlement valuation, producing consistent, traceable assessments while keeping the final decision with the claims professional.

Global Nutrition Value

This company is creating a time-stamped evidence trail for food safety and compliance data with applications across underwriting, loss prevention, claims and product recalls.

Insurteam MGA

A start-up creating a solution that combines embedded travel insurance distribution with AI-enabled claims handling, allowing partners to offer cover at checkout and customers to manage claims through WhatsApp.

Maximo

A platform connecting pensions, tax and open banking to help consumers better understand and increase their pension contributions and access associated tax relief.

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Model Library/Elliptic

This start-up is developing a climate-risk modelling platform to help insurers and other risk-transfer providers understand and quantify basis risk in parametric insurance.

RMI Agentic

A solution designed for managing risks created when autonomous AI agents transact on behalf of consumers.

SeatFair Technologies

This start-up is exploring how preference-pricing and optimisation technology could support complex reinsurance placements involving price, capacity, counterparties and terms.

TalkTerms AI/Swift Settle

An AI decision-support platform designed to help insurance professionals manage complex claims and complaints while retaining human oversight.

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Vardus

A pre-send compliance platform that checks customer communications, identifies potential regulatory issues and provides greater oversight of recurring compliance risks.

Voxalytics

This start-up’s solution analyses broker-client calls to automate administration and identify portfolio-level signals around customer retention, churn, cross-sell and growth.

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How to watch UFC 331: Van vs Pantoja 2 live streams, no PPV

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Tonight’s UFC 331 headline bout is a classic case of revenge or repeat as Joshua Van puts the UFC flyweight title he won against Alexandre Pantoja on the line at the Crypto.com Arena in Los Angeles. The Fearless won the belt in controversial fashion in December 2025 and the Cannibal is determined to right the wrong he has felt ever since.

Van’s victory at UFC 323 came after Pantjoa suffered a dislocated elbow 26 seconds into the original fight when the former fell and landed on the latter. The Brazilian has felt ignored by Dana White ever since, despite having championship victories against Brandon Moreno, Brandon Royval, Steve Erceg, Kai Asakura, and Kai Kara-France on his resumé. The 36-year-old has the experience and fuel from that defeat to inspire him. He’ll become the third flyweight champion to regain the belt after Moreno and Deiveson Figueiredo if he wins.

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Meta’s CTO says the glasses problem is a small number of bad actors. His company is reportedly about to launch a version without a camera.

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Andrew Bosworth used an AMA on his personal Instagram to argue that the conversation about Meta’s glasses should not be shaped by a relatively small number of bad actors. Katie Notopoulos reported the exchange for Business Insider.

Most people use the glasses normally, he said, much as they would a phone camera, only more convenient and more hands-free. He pointed to the indicator light and the anti-tampering measures that stop recording when it is covered.

The first defence is probably true and does not answer the question

Almost certainly most wearers are doing nothing objectionable. That is true of most technologies and it has never been the test for a device carried through public space.

The phone comparison is where the argument gives itself away. A raised phone is a visible act that the person opposite can see and respond to, and the entire selling point of the glasses is that recording no longer looks like anything.

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More in the moment is the same property as harder to notice. The convenience and the problem are one feature.

The second defence has already failed in public

The recording light is the mechanism Meta has staked its answer on, and it has been closing holes in it all year. A software update stopped a loophole where a wearer could start recording, wait, then cover the light, and it bricked cameras on units where the light had been drilled out.

That enforcement was real and it was not small. Meta described the action as covering fewer than one in a thousand glasses ever sold, which on seven million pairs in a year is a great many devices.

The fix is also already beaten. TNW reported this month that a $2 sticker defeats the feature, which is a poor foundation for a privacy guarantee.

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The roadmap is the strongest rebuttal

The Information reported this week that Meta is preparing a camera-free version of the glasses, codenamed Luna, with six microphones and no camera at all. TNW covered the report, which points to an unveiling at Connect on 23 September and shipments in October.

Companies do not remove the defining feature of a product to placate a small number of bad actors. They remove it when the category has a perception problem they cannot moderate their way out of.

Bosworth said at the end of the AMA that there is more to say at Connect. That is five days after he said the discourse had been captured by a fringe.

What Luna would actually change

Taking the camera out addresses the bystander problem directly, and that is a real answer rather than a cosmetic one. It also removes the thing most people buy the glasses for.

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Six microphones is not nothing, though. The visual privacy question would be solved and replaced by an audio one, and there is no equivalent of the recording light for a microphone.

Nobody has established a convention for signalling that a face-worn device is listening. Luna would ship into that gap.

Europe is not treating this as discourse

The enforcement is concrete and it is mostly happening on this side of the Atlantic. Paris prosecutors have opened a criminal inquiry into sexual harassment linked to smart glasses used to film women in the street, and the French cybercrime unit has been testing the devices.

Norway is weighing restrictions on camera-equipped wearables. Hamburg’s data protection commissioner has suggested the glasses may already fall foul of German rules on concealed recording equipment.

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The regulatory question is also further along than the product one. The LED update arrived alongside French and European data protection scrutiny, and the European Data Protection Board has a report coming on the category.

The moderation record is mixed by its own reporter’s account

Bosworth said harassing content will be removed and accounts taken down where the behaviour is systematic. Business Insider, which examined how the policy was working over the summer, found the moderation uneven.

The targeting has also been narrow. Videos of men harassing women have drawn action, while prank clips tormenting retail workers have been reported as a growing problem.

The competitive read

Meta is not the only company weighing this. Apple is targeting 2027 for its own glasses and has not settled the camera question.

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If the market leader ships a camera-free model this autumn, that becomes the reference point for everyone still deciding. The bad actors framing looks weaker every week the roadmap moves the other way.

What to watch

Watch Connect on 23 September. If Luna appears without a camera, the product has conceded what the AMA did not.

Watch what Meta says about the microphones. A camera-free device that listens continuously needs its own indicator, and the company has not proposed one.

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Garmin’s excellent Fenix 8 has dropped drastically in price

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Garmin’s toughest smartwatch just got $250 cheaper, and this is the one rated to handle a 40-metre dive like it’s nothing.

Durability like that comes standard on the fenix 8 AMOLED GPS Smartwatch, 47mm, now cut to $749.99, down from its usual $999.99 price tag, a straight saving of $250 on one of Garmin’s most feature-packed watches to date this year.

Deal Garmin fenix 8 AMOLED Slate GrayDeal Garmin fenix 8 AMOLED Slate Gray

Garmin fenix 8 AMOLED GPS smartwatch drops to $749.99, save $250

Save a huge $250 on the Garmin fenix 8, with this AMOLED GPS smartwatch now priced at just $749.99, down from its usual $999.99.

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Multisport watches with this depth of training data rarely fall under a thousand dollars, so shaving $250 off the fenix 8 lands it firmly in genuine impulse buy territory for serious athletes today.

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Strap it on, and you get a built-in LED flashlight, leakproof metal buttons and a 40-metre dive rating, the kind of rugged spec sheet you would expect from whatever tops a best Garmin watch 2026 buying guide.

The fenix 8 also handles training the way a proper coach would, breaking down recovery and readiness scores each morning based on your sleep, heart rate and recent workload. It even builds targeted strength training plans and sport-specific workouts, so the guesswork of programming your own week disappears entirely.

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That same attention to detail carries over to navigation, with built-in ABC sensors and preloaded TopoActive maps plotting dynamic round-trip routes that guide you back to your exact starting point right on schedule every time.

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All of it runs on a battery that Garmin rates at up to 16 days in smartwatch mode, which is more than enough for a full week away from home without hunting for a charger.

A built-in speaker and microphone let you take calls straight from your wrist once paired to a phone, while Garmin Pay and onboard music storage mean you can leave the phone behind entirely on a run.

Even at $749.99, the fenix 8 still packs dive certification, weeks of battery life and real coaching smarts into a single rugged watch that costs a full $250 less than its usual asking price.

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Flock reportedly tries to shrink workforce with employee buyouts

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Embattled surveillance technology company Flock Safety unveiled a “generous” severance package for voluntary employee departures on Friday, according to a report in Wired.

Flock reportedly expects a significant portion of its 1,500-person workforce to express interest in the buyouts, and said it will grant them to a majority of those who are interested. The company’s internal announcement described these packages as the “most generous” it has ever offered.

By letting employees depart voluntarily, Flock can say goodbye to team members demoralized by the ongoing backlash over the company’s license plate recognition technology. Wired also reports that without buyouts, the company would “almost certainly” need to lay off some staff.

In August, The Washington Post identified 46 cases where police officers have been accused of misusing Flock technology, including cases where they allegedly stalked their wives, girlfriends, or exes. Florida and Texas both said they will stop using the startup’s technology, and an anti-surveillance advocacy group identified 90 cities that dropped Flock in August alone — a fourfold increase from the previous month.

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TechCrunch has reached out to Flock for comment. The startup’s CEO Garrett Langley recently told the All-In podcast that the “biggest damage” caused by the backlash has been to “internal morale.”

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Researchers found a way to eavesdrop on headphones from 30 meters away, and encryption can’t stop it

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The big picture: Researchers in Hong Kong have developed a technique that uses injected radio signals to extract audio and other information from headphones, phones and smart-home devices. Called InjectEave, the method targets analog components that can leak signals too weak to capture through conventional electromagnetic eavesdropping. In testing, the researchers recovered understandable headphone audio from up to 30 meters away, including through walls.

The research comes from the Hong Kong University of Science and Technology in Guangzhou and the Hong Kong Polytechnic University. The team presented its paper, “Injected and Leaked: Actively Inducing Side-Channel Leakage Using Electromagnetic Injection and Hardware Nonlinearity,” at USENIX Security 2026.

Traditional electromagnetic side-channel attacks rely on passively collecting radiation emitted by electronics. That’s often difficult with audio, since low-frequency signals produce weak emissions that get lost easily in background noise.

InjectEave takes a different route. An attacker transmits an electromagnetic signal toward a device at a frequency between 0 MHz and 9 MHz. The researchers did not disclose the precise settings needed for the attack.

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The injected signal interacts with nonlinear parts inside the device, including amplifiers, analog-to-digital converters, power converters and switching MOSFETs. Those components can mix the injected RF signal with audio or other low-frequency activity. The device then emits a modified signal that nearby radio equipment can pick up and analyze.

The researchers used a USRP B210 software-defined radio, antennas, a Siglent SSA3075X Plus spectrum analyzer and a laptop. They also used an RF power amplifier in some tests to increase the range.

The team tested 11 commercial products. They included Sony ZX110AP wired headphones, Apple earbuds, UGreen MAX2 headphones, Philips TAH2020 headphones, HP H231R headphones and a Flyingvoice P23GW VoIP phone. The researchers also tested smart fans from Oidire and Xiaomi, as well as lamps from Jingzao and Xiaomi.

According to the paper, most tests worked at distances greater than two meters, including through walls. Device-specific ranges generally ran from one to six meters. With an RF amplifier, the researchers recovered intelligible headphone audio from up to 30 meters.

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“Our new project, InjectEave, shows that RF signals can induce information leakage from everyday headphones, allowing an attacker to recover headphone audio from up to 30 meters away, including through walls,” Yan Long, an assistant professor at HKUST in Guangzhou, said in an email to The Register.

Long said the researchers confirmed the issue in devices made by Sony, HP and Philips, among others.

The team also tested scenarios involving equipment hidden in a suitcase, behind a hotel-room wall or inside office furniture. The experiments suggest the attack could be carried out outside a lab, although it still requires nearby radio equipment and knowledge of how a given device responds to the injected signal.

Headphones and phones are the most obvious targets because they may carry private conversations. But the technique could also reveal activity in a home or office. With smart lamps and fans, the team said it could capture control signals and power-use patterns that may indicate when devices are being used.

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The researchers said conventional digital protections would not stop InjectEave because the leakage occurs in the analog hardware path, rather than in encrypted data or software.

“InjectEave is immune to digital defenses such as encryption, masking, and randomization, because the leakage comes from the analog path,” the researchers wrote.

They said shielding, filtering and twisted-pair wiring can reduce the amount of RF energy that reaches vulnerable components. Those measures may make the attack harder to carry out, but the researchers said they do not guarantee protection.

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Microsoft floats rules for AI models as industry weighs slowdown

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Satya Nadella says Microsoft welcomes the “deliberate pacing needed to get alignment right.” (GeekWire File Photo / Kevin Lisota)

“People matter more than AI.”

That’s the premise of a draft code of conduct Microsoft published Monday morning for the AI models it’s developing in-house. The 37-page document would bar its models from resisting shutdown, setting their own goals, or hiding their reasoning from human auditors.

The document applies to Microsoft’s MAI models, the in-house family the company began building after forming a superintelligence team in late 2025. Microsoft has since released seven homegrown models in what it described as a push for long-term self-sufficiency in AI.

The company says the models should remain “subordinate to humanity, subject to meaningful human oversight and control.”

“AI is moving fast,” the company says in a blog post. “As it does, we believe it’s worth writing down the rules and the motivations behind it, and doing it in as open a space as possible.”

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Microsoft acknowledges there’s no guarantee its models will follow the rules. “Written objectives alone can never ensure alignment,” the company says, calling the document a “north star,” not “a guarantee of present-day performance.”

The company says it also filters what its models produce, watches how they behave once released, and limits what they’re allowed to do.

Microsoft’s move comes amid a growing debate over the pace of AI development. In an essay over the weekend, Anthropic CEO Dario Amodei called for slowing down AI advances, saying the pace of development has started to surpass the industry’s ability to keep AI systems safe.

As a first step, Anthropic committed to giving outside evaluators permanent, employee-level access to its systems.

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Industry reaction to Amodei: OpenAI CEO Sam Altman agreed and said OpenAI would make the same commitment to independent evaluators. Elon Musk’s response: “Dario is right.”

President Donald Trump rejected the idea of guardrails outright Monday, blaming a “SICK conspiracy” for public backlash over AI data centers and writing that “the only one that is happy about it is China,” alluding to concerns about American competitiveness in AI.

David Sacks, who served as the White House AI and crypto czar until March, said the two companies should slow down on their own and questioned their motives, arguing that a slowdown is already good business for them and that new industry rules would mostly serve to lock in their lead.

Microsoft CEO Satya Nadella weighed in Sunday, writing on X that the company welcomes “the research, focus, and deliberate pacing needed to get alignment right,” using the industry’s term for making AI systems reliably do what people intend.

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Nadella added that the effort “cannot be controlled by a handful of entities, but must have broad representation across the ecosystem, countries, and fields, including academia.”

Microsoft’s draft code of conduct: Mustafa Suleyman, the Microsoft AI CEO, told CNBC the document had been in the works for about five months, and that the company decided to publish it now given the current discussions.

Microsoft and Anthropic are business partners. Microsoft agreed last November to invest $5 billion in Anthropic, as part of a deal in which Anthropic committed $30 billion to Azure. Claude models run inside Microsoft 365 Copilot, and Microsoft’s Copilot Cowork tier integrates Claude.

One place where the two companies may diverge is the question of what AI models are, exactly. Microsoft’s code of conduct says its models are “not conscious and should not be designed to imitate consciousness.” It also rejects “the pursuit of legal personhood, or the idea that models might deserve welfare, or be entitled to rights.”

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The Verge called that portion of the document “a direct swipe at AI welfare research and model consciousness — concepts Anthropic has been pushing hard on lately.”

Anthropic runs a research program on model welfare. It has given some Claude models the ability to end abusive conversations, and committed to preserving the weights of retired models. Amodei has said he’s open to the idea that a model could be conscious.

Microsoft is taking public comment on its code of conduct for six weeks through a feedback form. It says it will publish a summary of the responses and a revised version later this year, to guide development starting in 2027. It says it isn’t training its current models on it.

The company’s AI team developed the draft with its responsible AI, legal, red teaming and safety teams, consulting outside experts in law, ethics, linguistics and philosophy, plus focus groups drawn from the public.

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Manus to reportedly raise funds at $4bn valuation after failed Meta deal

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Manus went back to being an independent business in September after China blocked Meta’s acquisition of the start-up.

AI start-up Manus is reportedly gearing up to double its valuation to $4bn in an upcoming fundraising round, after Meta’s acquisition of the company was forcibly unwound by Chinese authorities earlier this year.

According to Bloomberg, Manus’s fresh $500m round is set to close “soon”, after which the company could become China’s most valuable start-up in its sector. The talks are still in early stages and the outcome could change, sources told the publication.

Manus is behind a general AI agent called Manus AI that utilises multiple frontier models and operates in a complete sandbox environment to help users with multi-step tasks.

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Meta acquired the Singapore-headquartered company (developed by China’s Butterfly Effect) late last December at a reported value of more than $2bn. This marked a fourfold jump from its valuation in April 2025, highlighting the perceived value of its general AI agent that took the industry by storm following its launch.

The acquisition, however, faced near-immediate scrutiny from Chinese authorities, which launched a probe shortly following the deal’s announcement.

According to national rules, the Chinese government, which is increasingly protective of its innovative technology and companies, needs to approve the export of certain technologies, including AI. Meta, at the time, said that the deal “complied fully with applicable law”.

Manus had already assimilated with Meta by the time the deal had to be unwound. Existing Manus investors, including Tencent Holdings, ZhenFund and HSG, had already received their acquisition proceeds, which needed to be reversed.

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The Chinese start-up formally resumed operations as an independent business in September, months after the deal was struck down by China’s National Development and Reform Commission in April. Tech giant Tencent is now Manus’s largest external shareholder.

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