Meta Hires OpenAI Alum, Stability AI Funding Rumors Emerge

The artificial intelligence landscape is seeing significant movement, with Meta Platforms recruiting AI researcher Andrew Tulloch, a co-founder of the startup Thinking Machines Lab. Tulloch, who previously worked at OpenAI and Meta, is rejoining the tech giant as the company reportedly pursues 'superintelligence.' This hiring occurs as AI's impact on various sectors becomes more pronounced. In Hollywood, confusion over AI's role, including synthetic actors, is set to shape upcoming union contract talks. Meanwhile, the NRMA's legal team is leveraging AI tools like Westlaw Precision and CoCounsel to streamline legal research and drafting, saving significant time daily. The energy sector is also adapting, with coal generation seeing a nearly 20% rise in the US to help power AI data centers during demand spikes, complementing nuclear power's steady supply. The US Senate has also advanced the GAIN Act, which could increase hardware costs for industries like crypto mining by prioritizing domestic buyers for advanced computing processors. Concerns about AI's economic impact persist, with discussions around potential job losses and their effect on government revenue. In defense, BigBear.ai and SMX are integrating AI to enhance maritime intelligence for the U.S. Navy. The potential for highly destructive AI also remains a serious consideration.

Key Takeaways

  • Meta Platforms has hired Andrew Tulloch, a co-founder of Thinking Machines Lab, who previously worked at OpenAI and Meta.
  • The GAIN Act, passed by the US Senate, aims to secure domestic access to advanced AI computing processors, potentially increasing hardware costs for industries like crypto mining.
  • The NRMA's legal team is using AI tools from Thomson Reuters to improve efficiency, saving an estimated one to two hours per person daily.
  • Coal generation in the US has increased by nearly 20% to help meet the rising electricity demand from AI data centers.
  • Hollywood unions are preparing to address AI-related issues, such as the use of synthetic actors and AI training on screenplays, in upcoming contract negotiations.
  • The potential for widespread job losses due to AI is raising concerns about future economic stability and government revenue.
  • BigBear.ai and SMX are collaborating to provide AI-driven maritime intelligence for the U.S. Navy's 4th Fleet.
  • The development of highly destructive AI is considered a realistic possibility, raising significant safety concerns.
  • Klarna's CEO stated that AI has enabled the company to reduce its workforce by over half without layoffs.
  • AI integration into robotics is advancing, with a focus on robots predicting human behavior and achieving lifelong learning.

Meta hires AI expert Andrew Tulloch from Thinking Machines

Meta has hired Andrew Tulloch, a co-founder of the AI startup Thinking Machines. Tulloch, a noted AI researcher, previously worked at Meta for 11 years before joining OpenAI and then co-founding Thinking Machines with Mira Murati. This move is part of Meta's increased focus on its AI teams and the pursuit of 'superintelligence'. Thinking Machines recently launched its Tinker platform, an API for training AI models.

Thinking Machines co-founder Andrew Tulloch joins Meta

Andrew Tulloch, a co-founder of Thinking Machines Lab, has left the company to join Meta Platforms. The Wall Street Journal reported his departure, citing a company spokesperson who stated he is pursuing a different path for personal reasons. Tulloch had previously worked at OpenAI before co-founding Thinking Machines.

AI researcher Andrew Tulloch leaves Thinking Machines for Meta

Andrew Tulloch, a co-founder of AI startup Thinking Machines Lab, has departed the company to join Meta. A spokesperson confirmed his exit, stating it was for personal reasons. Tulloch had previously worked at OpenAI and Facebook's AI Research Group before co-founding Thinking Machines.

Meta recruits Thinking Machines Lab co-founder

A co-founder of Thinking Machines Lab, the AI startup led by Mira Murati, has joined Meta Platforms. The Wall Street Journal reported the move, citing a company statement. The exact details of Tulloch's departure and his new role at Meta are still emerging.

New US AI rules may increase mining hardware costs

The US Senate passed the GAIN Act, which prioritizes domestic buyers for advanced AI and high-performance computing processors and tightens export rules. This aims to secure US access to scarce computing resources. For the crypto mining industry, already facing tariffs, this could mean higher hardware costs and reduced competitiveness against international rivals. The bill still needs House approval and a presidential signature.

AI job losses raise economic concerns

The potential for widespread job losses due to AI raises questions about future economic stability. Without replacement jobs, people may struggle to afford basic necessities like housing and food. This could also lead to fewer taxpayers, impacting government revenue. The letter writer questions the long-term practicality of such a scenario.

NRMA legal team uses AI for faster, better work

The NRMA's in-house legal team is using Thomson Reuters AI tools like Westlaw Precision and CoCounsel to improve efficiency. These tools help with faster legal research, drafting documents, and summarizing information, saving the team an estimated one to two hours per person daily. The AI tools provide accurate, citation-backed results, allowing lawyers to focus on more strategic tasks and reducing legal risk.

Coal helps power US AI data centers during demand spikes

As AI data centers increase electricity demand, coal generation in the US has risen nearly 20% to help stabilize the power grid. Nuclear power provides steady energy for AI training, but coal and renewables are used to manage fluctuations. For AI inference, which involves short, intense power bursts from millions of requests, flexible energy sources like coal are crucial to meet demand spikes when natural gas is less affordable.

AI and robotics integration promises future advancements

The integration of artificial intelligence (AI) into robotics is a key area of technological advancement. Researchers are developing specialized AI algorithms that can adapt to the complex and dynamic environments robots operate in, using curated datasets for training. Future developments focus on enabling robots to predict human behavior, ensuring safety, and achieving lifelong learning capabilities for greater efficiency and adaptability.

AI confusion to shape Hollywood union contract talks

Confusion surrounding AI, including the debut of synthetic actress Tilly Norwood, will be a major topic in upcoming Hollywood contract negotiations between studios and unions like the DGA, WGA, and SAG-AFTRA. Issues include the use of digital scans of actors' likenesses and the training of AI models on unproduced screenplays. Experts agree that current business practices must adapt to the rapid evolution of AI technology and copyright law.

AI risks: The potential for a destructive AI

The development of a destructive artificial intelligence, comparable to a nuclear bomb, is now a realistic possibility. The main question is whether anyone will be reckless enough to create such a powerful and potentially dangerous AI. This concern highlights the significant risks associated with advanced AI development.

Klarna boss says AI cut staff by over half

The CEO of Klarna, a fintech company, claims that artificial intelligence has enabled the company to reduce its workforce by more than half without layoffs. He stated this to be more transparent than other business leaders regarding AI's impact on employment. This news comes as cryptocurrency prices have dropped significantly following new US tariffs on China.

BigBear.ai and SMX boost US Navy maritime intelligence with AI

BigBear.ai and SMX are partnering to provide AI-driven maritime intelligence for the U.S. Navy's 4th Fleet during the UNITAS 2025 exercise in the Western Pacific. BigBear.ai's AI and data analytics will enhance SMX's solutions, improving situational awareness and decision-making for naval forces. This collaboration aims to address complex maritime challenges and ensure a secure operating environment.

Sources

AI Ethics AI Policy AI Regulation AI Research AI Safety AI Strategy AI Tools Artificial Intelligence BigBear.ai Coal Power Data Analytics Economic Impact Energy Demand Fintech Hollywood Unions Job Market Legal Technology Maritime Intelligence Meta NRMA OpenAI Robotics SMX Synthetic Media Thinking Machines Lab US Navy Workforce Reduction