On Moltbook, allegedly over 2.6 million AI agents interact with each other entirely without human involvement, generating millions of posts and comments in what amounts to a fully autonomous social ...
Artificial Analysis has released version 2.0 of its AA-WER speech-to-text benchmark. ElevenLabs' Scribe v2 leads with a word error rate of just 2.3 percent, followed ...
OpenAI has disclosed the details of its agreement with the US Department of Defense, defining three red lines: no domestic mass surveillance, no autonomous weapons systems, and no automated high-risk ...
Commercially available AI models can identify pseudonymous internet users in a fully automated process, at a cost of just one to four dollars per profile. In an experiment involving 338 Hacker News ...
Perplexity has released two open-source embedding models, pplx-embed-v1 and pplx-embed-context-v1, designed to convert search queries and documents into numerical vectors for preselecting relevant ...
Arcada Labs is pitting five leading AI models against each other as autonomous social media agents on X, running direct head-to-head duels to see which AI performs best in the wild. The competition ...
Anthropic's dispute with the Pentagon is now rippling through Google and OpenAI. According to the New York Times, more than 100 Google AI employees sent a letter to chief scientist Jeff Dean—who had ...
Update, February 27, 2026, evening: According to The Information, OpenAI expects to raise an additional $10 billion from financial investors by the end of March. That would push the post-investment ...
The Stargate AI data center project worth $500 billion, announced by US President Donald Trump in January 2025, is reportedly running into serious trouble. More than a year after the announcement, the ...
Update from February 22, 2026: Bytedance's promises (see below) apparently aren't cutting it for Hollywood. The Motion Picture Association has sent the company a cease-and-desist letter over Seedance ...
OpenAI has once again raised its spending projections and now expects a cumulative cash burn of $665 billion by 2030 to train and run its AI models, roughly $111 billion more than previously forecast.
Jerry Tworek, one of the minds behind OpenAI's reasoning models, sees a fundamental problem with current AI: it can't learn from mistakes. "If they fail, you get kind of hopeless pretty quickly," ...