Sam Altman has floated one of the most unusual pitches in the short history of the AI boom: hand the United States a stake.
AI demand has broken TSMC's seasonal calendar, driving the chipmaker to an all-time monthly revenue record.
Two years after it was founded, Chai Discovery has become one of the most richly valued startups in AI drug discovery.
Global startups pulled in a record $510 billion in the first half of 2026, more than investors deployed across all of 2025.
One of Britain's most decorated fintech founders is trading the venture desk for a data-center problem.
Anthropic spent the first two years of the generative-AI boom selling Claude as a brilliant solo assistant.
When ByteDance quietly pushed out Seedream 5.0 Pro, the release note did not read like a company playing catch-up.
Runway is betting that the winner of the AI video race will not be the model that renders the most beautiful frame.
When Meta shipped Llama 4, the open-weight model was pretrained across roughly 200 languages but reliable in far fewer.
Google's most anticipated model of the summer is reportedly three days out, and the calendar could hardly be more loaded.
For most of the last five years, the reliable way to make an AI model reason better has been to make it bigger.
When the International Conference on Machine Learning opened in Seoul on July 6, one delegation stood out for its scale.
When several AI agents talk out a hard problem and then take a vote, the crowd is supposed to be wiser than any member.
Marilyn Shuler has spent 39 years as a nurse at Montefiore Medical Center in the Bronx, now among 12 facing layoff.
For the first time in the organization's eight decades, all 193 UN member states sat down to govern AI together.