Director Luca Guadagnino spent years making Artificial, a Social Network-style drama about OpenAI CEO Sam Altman. Then Amazon MGM Studios dropped it, months after committing $50 billion to OpenAI in a sweeping strategic partnership.
Baseten, an AI inference infrastructure startup, is raising one and a half billion dollars at a thirteen billion dollar valuation after tripling its revenue run-rate from two hundred million to six hundred million dollars in a single quarter.
The US government told ASML it fears one of the company’s banned extreme ultraviolet chip machines may have reached China, a claim ASML flatly denies, raising urgent questions about the integrity of AI chip export controls.
Qualcomm is in talks to acquire AI chip startup Tenstorrent at a valuation of up to ten billion dollars, in what would be a serious attempt to challenge Nvidia’s dominance in the AI data center chip market.
Federal regulators have ordered major grid operators to fast-track AI data center power connections within 90 days, a dramatic acceleration of a process that currently takes years and has been a major bottleneck for the AI buildout.
Snap is spinning off its generative AI video team into a new startup called Dotmo due to the high cost of running frontier AI research internally, with Snap’s own CTO Bobby Murphy serving as lead investor.
Amazon is in talks to sell its Trainium3 AI chips directly to outside data centers for the first time, breaking from its cloud-only model in a direct challenge to Nvidia’s hardware dominance.
Meredith Whittaker, the president of Signal, warned that AI chatbots are not your friends and that letting Copilot handle personal tasks amounts to handing over a backdoor to your most private communications.
Sakana AI launched Sakana Marlin, an autonomous agent that conducts business research for up to eight hours and produces reports exceeding 100 pages. The Tokyo startup is positioning it as a virtual chief strategy officer for enterprise clients.
Google DeepMind launched a $10 million research call to address risks from millions of AI agents interacting autonomously. The lab says current understanding of multi-agent failure modes is almost entirely inadequate for what is coming.