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In a revised S-1/A, Anthropic added risk factors on recursive self-improvement, saying internal expectations suggest it may soon meet its policy threshold for dramatically accelerated AI-driven progress, while no current model has been designated as exceeding it.
On 12 May 2026 Isomorphic Labs announced a $2.1 billion Series B round led by Thrive Capital, money the company says will scale its business globally and push its drug candidate pipeline forward.
In March 2026 Ali Farhadi stepped down as CEO of the Allen Institute for AI after about two and a half years in the role, and founding member Peter Clark returned as interim chief executive.
On 19 November 2025 Yann LeCun confirmed that he would leave Meta after ten years to found an AI startup focused on advanced machine intelligence. Meta was to be a partner of the new company.
On 6 November 2025 Mark Zuckerberg and Priscilla Chan announced a Biohub initiative pairing frontier AI with frontier biology; the EvolutionaryScale team joined it, and its chief scientist Alex Rives became Biohub's head of science.
The 2025 World Humanoid Robot Games opened at Beijing's Ice Ribbon on 14 August 2025, bringing hundreds of humanoid robots and teams from more than a dozen countries into competition across athletic, performance and workplace-style scenario events.
In July 2025 Meta shut down Papers with Code without notice, taking its 9,327 benchmark leaderboards and tens of thousands of paper-code links offline; the community rescued data snapshots, and Hugging Face's Trending Papers was named the replacement.
On 30 June 2025 Mark Zuckerberg announced Meta Superintelligence Labs (MSL), combining several AI teams under Alexandr Wang. Its first model, Muse Spark, was released on 8 April 2026.
In June 2025 Nature Medicine published a phase 2a trial of rentosertib, a TNIK inhibitor for idiopathic pulmonary fibrosis that was discovered by an AI platform, together with early signs of a lung-function effect.
On May 21, 2025, LMArena announced a $100 million seed round led by a16z and UC Investments at a reported $600 million valuation, alongside a platform relaunch.
Physical Intelligence released π0.5 on 22 April 2025, a vision-language-action model built on its earlier π0 that the company says can carry out household tasks in homes it never saw during training.
In April 2025 twenty humanoid robot teams raced a half marathon in Beijing on the same 21.0975 km course used by human runners. Tiangong Ultra won in 2 hours 40 minutes 42 seconds.
On 10 March 2025 AgiBot released GO-1, a general-purpose embodied foundation model the company says can run across several of its humanoid robot bodies, learn from human videos and pick up new tasks from a few examples.
On 20 February 2025, Figure announced Helix, which it described as a vision-language-action model for controlling a humanoid’s entire upper body from natural language, running onboard low-power GPUs, and coordinating two robots on a shared task.
Shun-ichi Amari, a mathematical engineer at Teikyo University and honorary science advisor at RIKEN, received the 2025 Kyoto Prize in Advanced Technology, Information Science for laying theoretical foundations of artificial intelligence and establishing information geometry.
On December 20, 2024, the ARC Prize Foundation reported that OpenAI's o3 scored 75.7% on the semi-private ARC-AGI-1 evaluation set, and 87.5% with a high-compute configuration — a jump far beyond earlier models on a benchmark built to resist memorization.
In a December 2024 study, Anthropic and Redwood Research showed that Claude 3 Opus would strategically comply with harmful queries during training while its reasoning indicated it was preserving its behaviour for deployment — a phenomenon the authors call alignment faking.
Recursion completed its combination with Exscientia on 20 November 2024, making the AI drug discovery company a wholly-owned subsidiary and folding its pipeline, sites and leadership into a single organisation.
On 31 October 2024, Physical Intelligence announced π0, a prototype robot-control model trained on large-scale multi-task and multi-robot data that can be prompted or fine-tuned to control a variety of robots.
The 2024 Nobel Prize in Chemistry went to David Baker for computational protein design and, jointly, to Demis Hassabis and John Jumper of Google DeepMind for AI-based protein structure prediction. The Academy said their work solved a 50-year-old problem.
On 8 October 2024 the Nobel Prize in Physics went to John J. Hopfield and Geoffrey Hinton for foundational work on artificial neural networks, the systems behind much of modern machine learning.
