Exit interviews with defectors from OpenAI, Anthropic, and DeepMind.

MIT and Sakana AI's SIFT framework reduces coding agent evaluation costs by using a language model to rank candidates, ...

There is a concern that enhanced wallets might become extremely slow when performing calculations on devices like smartphones ...

AI Agents learn from failure and avoid the same mistakes in the next session. This is attractive, but in commercial ...

A systematic review of 249 papers finds that the most capable self-improving AI agents show critically low safety levels, ...

I am seated with my best Nyamiyaga friend, and she is deeply engrossed in her K-movies. “They are sensational and entertaining,” she tells me, as I try to convince her to watch The Terminator. She ...

Pacing AI development presents a geopolitical dilemma. The United States and China are competing for leadership in advanced AI, and companies may fear that slowing down could allow rivals to gain an ...

Jonathan Siddharth, CEO of Turing, argues that the AI training paradigm has fundamentally shifted from extracting knowledge from experts to ...

“Recursive self-improvement” is the idea that artificial intelligence could learn to build and train itself, creating exponential new progress — and risk. Jeff Clune, a computer scientist and ...

These gaps illuminate the challenge of regulating a growing field of AI activity I call “privileged deployment” — testing, research and other uses of AI models that are available only to their ...

CRISPR Therapeutics AG remains a long-term Buy, anchored by Casgevy's success and management’s execution in ex vivo gene ...