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Every A.I. Researcher Who Has Joined Meta’s Superintelligence Team

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Mark Zuckerberg’s Meta is snapping up researchers from competitors like OpenAI. Anna Moneymaker/Getty Images

The results of Meta’s full-throttle hiring push to achieve advanced forms of A.I. is finally beginning to materialize. A new team at the Mark Zuckerberg-led company will be known as Meta Superintelligence Labs (MSL), according to an internal memo first reported by Bloomberg. Much to the frustration of Meta’s rivals, the team is stacked with talent poached from top competitors like OpenAI, Google DeepMind and Anthropic.

“As the pace of A.I. progress accelerates, developing superintelligence is coming into sight,” said Zuckerberg in the memo, referencing a form of A.I. that boasts capabilities superior to humans. “I believe this will be the beginning of a new era for humanity, and I am fully committed to doing what it takes for Meta to lead the way.”

Impatient with Meta’s slow progress in A.I., Zuckerberg in recent months has personally spearheaded an aggressive recruiting campaign. To lure talent from OpenAI, Meta is offering signing bonuses as high as $100 million, as revealed by Sam Altman, OpenAI’s CEO, during a podcast interview in June.

Alexandr Wang, the former CEO of Scale AI, will serve as Meta’s new chief A.I. officer and lead the MSL team. The 28-year-old recently joined Zuckerberg’s efforts after Meta invested more than $14 billion in Scale AI, which specializes in labelling data for A.I. systems. Wang will co-lead the new group with Nat Friedman, the former head of Github, said Wang in a post on X yesterday (June 30), which also included a roster of other new hires joining the team.

Towards superintelligence,” noted Wang, who said he’s “thrilled to be accompanied by an incredible group of people.”

The division will include former Google DeepMind researchers Jack Rae and Pei Sun, alongside Anthropic’s Joel Pobar and Sesame AI’s Johan Schalkwyk. One notable absence from the list of hires shared by Wang is Daniel Gross, a co-founder of startup Safe Superintelligence and an investment partner of Friedman. He’s also expected to join Meta’s new A.I. efforts, according to CNBC.

The largest tranche of Meta’s new hires hail from OpenAI. In addition to nabbing researchers like Ji Lin, Hongyu Ren and Jiahui Yu, who contributed to releases like o3 and GPT-4o, MSL includes Shengjia Zhao, a co-creator of ChatGPT, and Trapit Bansal, a top reinforcement learning researcher. Other notable additions include Suchao Bi and Huiwen Chang, who helped build GPT-4o’s voice mode and image generation features, respectively.

Noticeably missing from Meta’s MSL list are Lucas Beyer, Alexander Kolesnikov and Xiaohua Zhai. The three former OpenAI staffers recently announced plans to join Meta. According to an X post by Beyer, their absence is due to “some technicalities.” He also clarified that the trio, who previously helped launch OpenAI’s Zurich office, did not receive the $100 million signing bonuses Altman mentioned, and that they will not be working directly with Yann LeCun, Meta’s chief A.I. scientist.

As for OpenAI, the company is now reevaluating compensation across the board in an effort to keep more researchers from jumping ship. Internal messages from Altman, reported by Wired, sought to reassure staff that Meta’s recruiting push hadn’t managed to poach the most critical talent.

Meta is acting in a way that feels somewhat distasteful, I assume things will get even crazier in the future,” the OpenAI chief reportedly told employees via Slack. “Meta has gotten a few great people for sure, but on the whole, it is hard to overstate how much they didn’t get their top people and had to go quite far down their list.”

Here Are the Top A.I. Researchers Who Just Joined Meta’s Superintelligence Team





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Framework Laptop 12 review: fun, flexible and repairable | Laptops

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The modular and repairable PC maker Framework’s latest machine moves into the notoriously difficult to fix 2-in-1 category with a fun 12in laptop with a touchscreen and a 360-degree hinge.

The new machine still supports the company’s innovative expansion cards for swapping the different ports in the side, which are cross-compatible with the Framework 13 and 16 among others. And you can still open it up to replace the memory, storage and internal components with a few simple screws.

The Framework 12 is available in either DIY form, starting at £499 (€569/$549/A$909), or more conventional prebuilt models starting at £749. It sits under the £799-and-up Laptop 13 and £1,399 Laptop 16 as the company’s most compact and affordable model.

The compact notebook is available in a range of two-tone colours, not just grey and black. Photograph: Samuel Gibbs/The Guardian

Where the Laptop 13 is a premium-looking machine, the Laptop 12 is unmistakably chunky and rugged with over-moulded plastic parts for shock protection. It is designed to meet the MIL-STD-810 standard common to rugged electronics. It looks and feels as if it could take a beating, not like a flimsy DIY kit you put together yourself.

The glossy 12.2in screen is bright and relatively sharp. But it is highly reflective, has large black bezels around it and has a relatively narrow colour gamut, which means colours look a little muted. It’s decent enough for productivity but not great for photo editing. The touchscreen rotates all the way back on to the bottom of the machine to turn it into a tablet or it can be folded like a tent or parallel to the keyboard. The screen supports the use of a wide range of first and third-party styluses for drawing or notes, which could make it handy in the classroom.

A selection of fun colours are available for the DIY version, further enhancing its college appeal. The 1080p webcam at the top is decent, although it won’t rival a Surface, and it has a physical privacy switch alongside the mics. The stereo speakers are loud and distortion-free but lack bass and a little clarity, sounding a little hollow compared with the best on the market.

The keyboard is nicely spaced, fairly quiet and pretty good to type on but lacks a backlight. Photograph: Samuel Gibbs/The Guardian

At 1.3kg the Laptop 12 isn’t featherweight but it is nice and compact, easy to fit in bags or on small desks. The generous mechanical trackpad is precise and works well. But the laptop lacks any form of biometrics, with no fingerprint or face recognition, forcing you to enter a pin or password every time you open the laptop or to use secure apps such as password managers, which gets old fast.

Specifications

  • Screen: 12.2in LCD 1920×1200 (60Hz; 186PPI)

  • Processor: Intel Core i3 or i5 (U-series, 13th gen)

  • RAM: 8 or 16GB (up to 48GB)

  • Storage: 512GB (up to 2TB)

  • Operating system: Windows 11 or Linux

  • Camera: 1080p front-facing

  • Connectivity: wifi 6E, Bluetooth 5.3, headphones + choice of 4 ports: USB-C, USB-A, HDMI, DisplayPort, ethernet, microSD, SD

  • Dimensions: 287 x 213.9 x 18.5mm

  • Weight: 1.3kg

Modular ports and performance

The expansion modules slide into sockets in the underside of the laptop to change the ports, which you can change at any time. Photograph: Samuel Gibbs/The Guardian

The Laptop 12 comes with a choice of two Intel 13-generation U-series processors, which are lower-power chips from a few years ago. As tested with the mid-range i5-1334U it won’t win any raw performance awards but was generally up to the task of more than basic computing. It feels responsive in day-to-day tasks but struggles a bit in longer, processor-heavy jobs such as converting video.

The older chip means the battery life is a little on the short side for 2025, lasting about seven to eight hours of light office-based work using browsers, word processors, note-taking apps and email. Use more demanding apps and the battery life shrinks by a few hours. The battery takes about 100 minutes to fully charge using a 60W or greater USB-C power adaptor.

Four expansion cards can be fitted at any one time, but they can be swapped in and out without having to turn off the laptop. Photograph: Samuel Gibbs/The Guardian

The port selection is entirely customisable with a fixed headphone jack and four slots for expansion cards, which are available in a choice of USB-A and USB-C, DisplayPort and HDMI, microSD and SD card readers, or ethernet. Other cards can add up to 1TB of storage and the USB-C cards are available in a range of solid or translucent colours to make things even brighter. It is an excellent system but note the Laptop 12 supports only USB 3.2 Gen 2, not the faster USB4/Thunderbolt common on new machines.

Sustainability

The high-quality plastic body with over-moulded sides feels well built and durable. Photograph: Samuel Gibbs/The Guardian

Framework rates the battery to maintain at least 80% of its original capacity for at least 1,000 full charge cycles. It can easily be replaced along with all the rest of the components, including the RAM and SSD.

Framework sells replacement parts and upgrades through its marketplace but also supports third-party parts. The laptop contains recycled plastic in many components.

Price

The DIY edition of the Framework 12 starts at £499 (€569/$549/A$909) with pre-built systems starting at £749 (€849/$799/A$1,369) with Windows 11.

For comparison, the DIY Framework 13 costs from £799 and the DIY Framework 16 costs from £1,399 . Similarly specced 2-in-1 Windows machines start at about £500.

Verdict

Like previous Framework machines, the Laptop 12 demonstrates that repairable, upgradable and adaptable computers are possible, work well and can be used by more than just the tech savvy. It manages to be fun in a way most mid-range PCs just aren’t.

The keyboard is solid, the trackpad good and the speakers loud. The modular ports are a killer feature that every PC should embrace, while being able to repair or upgrade it easily is still so unusual. The touchscreen is bright but unremarkable, the lack of any biometrics is irritating, and the older processor, while still decently fast for everyday tasks, means the battery life isn’t long by modern standards.

Its biggest problem is cost, as it is about £150-£200 more expensive than similarly specced but closed and locked-down machines. Unless you already have spare storage and RAM lying around, that’s the price you have to pay for the open and modular machine.

Pros: swappable ports, repairable and upgradeable, fun and durable design, compact, lots of colour choices, solid keyboard and trackpad, solid performance for everyday tasks.

Cons: battery life short of best, screen is bright but a little lacklustre, no biometrics, expensive, older processor, wait time for purchases.

The ports can be colour matched to the body or mixed and matched for fun combinations. Photograph: Samuel Gibbs/The Guardian



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‘No honour among thieves’: M&S hacking group starts turf war

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A clash between rival criminal ransomware groups could result in corporate victims being extorted twice, cyber experts warn



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Insurance Industry Rejects Proposed Moratorium on State Artificial Intelligence Regulation

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By Chad Hemenway

A proposed decade-long moratorium on state regulation of artificial intelligence has gained the attention of many, including those within the insurance industry.

The 10-year prohibition of AI regulation is contained within the sweeping tax bill, “One Big Beautiful Bill,” and would preempt laws and regulations already in place in dozens of states.

The National Association of Professional Insurance Agents (PIA) on June 16 sent a letter “expressing significant concern” to Senate leadership, who submitted a reconciliation budget bill that has already passed through the House of Representatives.

“PIA strongly urges the Senate to eliminate the reconciliation language enforcing a 10-year moratorium on state AI legislation and regulation, or explicitly exempt the insurance industry’s state regulation of AI because the industry is already appropriately regulated by the state,” said the letter, signed by Mike Skiados, CEO of PIA.

PIA referenced a model already adopted by the National Association of Insurance Commissioners (NAIC) that requires insurers to implement AI governance programs in accordance with all existing state and federal laws. Nearly 30 states have adopted the NAIC’s model on the use of AI by insurers.

Earlier in June, NAIC sent a letter to federal lawmakers following the passage of the bill in the House. The commissioners said state regulation has been effective in evolving market conditions.

“This system has not only protected consumers and fostered innovation but has also allowed for the flexibility and experimentation that is essential in a rapidly changing world,” said NAIC leadership in the letter. “By allowing states to develop and implement appropriately tailored regulatory frameworks, the system ensures that oversight is both robust and adaptable.”

“State insurance regulators understand that AI is a transformative technology that can be leveraged to benefit insurance policyholders by, among other things, creating new product offerings, improving the efficiency of the insurance business, and transforming the consumer experience.”

The language–more specifically the definition of AI within the bill–is also of concern. NAIC called it “overly broad” and questioned whether it not only applies to machine learning but “existing analytical tools and software that insurers rely on every day, including calculations, simulations, and stochastic forecasts…and a multitude of insurtech provided analytical systems for rate setting, underwriting, and claims processing.”

To that end, the American InsurTech Council (AITC) said it “strongly opposes” the AI state regulation moratorium, which it said would “create a dangerous vacuum in oversight during a period of rapid technological change.”

“Such a ban would undermine the foundational principles of insurance regulation in the United States and jeopardize consumer protections at a time when AI is rapidly transforming the way insurance is developed, priced, marketed, underwritten, and delivered,” said the AITC in a statement.

In May, state attorneys general in 40 states urged Congress to get rid of the moratorium proposal within the bill.

On June 16, the National Council of Insurance Legislators (NCOIL) in a statement said a ban on state regulation would “disrupt the overall markets that we oversee” and “wrongly curtail” state legislators’ ability to make policy.

The group said constituents have “been steadfast in asking for protections against the current unknowns surrounding AI, and they cannot wait 10 years for a state-based policy response.”

Topics
InsurTech
Legislation
Data Driven
Artificial Intelligence
Market

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