MIT Technology Review publishes an in-depth analysis of METR's controversial time horizon plot, which has been widely misinterpreted by both AI optimists and pessimists. The graph, which shows AI models' improving ability to complete tasks over time, has led some to believe AI utopia or apocalypse is imminent. The article clarifies the true meaning of the data and addresses common misconceptions about AI capability measurements and progress trajectories.

OpenAI faces senior staff departures as the company prioritizes rapid ChatGPT improvements over long-term AI research projects like Sora and DALL-E.

CSET report reveals AI companies using systems to accelerate R&D, examining implications for innovation, safety, and governance.

A major study reveals that while AI like GPT-4 can now outperform the average person in creativity tests, the most imaginative humans still hold a significant edge, highlighting a clear ceiling for current AI capabilities.

DeepMind's Demis Hassabis, Anthropic's Dario Amodei, and AI pioneer Yann LeCun present conflicting views on AGI achievability, with LeCun arguing LLMs alone cannot reach human-level intelligence.

Researchers have developed a new AI method called Riff-Diff that transforms enzyme design, creating highly efficient and stable biocatalysts for industrial and medical applications. The findings were published in the journal Nature.

Humans&, a new AI startup founded by former researchers from Anthropic, xAI, and Google, has raised $480 million in a seed round, achieving a $4.8 billion valuation with backing from Nvidia and Jeff Bezos.

Emerging world models technology aims to solve AI consistency issues by giving machines better understanding of space and time.