I want this running locally. ~$600,000 for a setup that could handle it according to ChatGPT. Low low price. chatgpt.com/s/t_6a31a96cf9c0…

Anthropic Successfully Negotiates a Fable 5 Return with the White House. Fable 5 will be fully restored this week Expecting official announcement in the next 24-48 hours PS. We may potentially see a new OpenAI model on par or better in the next couple of weeks. Fun Times!!!

TRUMP: WE'RE LEADING AI BY A LOT

Senior Anthropic officials are meeting with senior Trump administration officials this morning in an attempt to resolve the Mythos/Fable embargo. There were also meetings yesterday after Anthropic officials flew to Washington. It's possible we get some resolution later today.

The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees. The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance. Access to all other Claude models is not affected. We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible. Read our full statement: anthropic.com/news/fable-myt…

The bigger story: AI platforms like Palantir’s Foundry are turning hospital data into real-time early-warning systems that save lives at scale. At Tampa General Hospital, their Sepsis Hub integrates vitals, labs, notes & history to flag subtle changes fast. Result: 68% drop in 48-hour sepsis mortality, 30% shorter stays, and hundreds of lives saved by getting antibiotics in time. Sepsis is a silent killer where every hour matters. This shows AI shifting healthcare from reactive to proactive—catching what humans miss, coordinating care instantly, and proving measurable impact beyond hype. Scalable wins like this could transform outcomes hospital-wide.

Introducing FrontierCode: a coding eval that raises the bar for difficulty & quality. Each task took 40 hrs of work by leading open-source maintainers. Models write sloppy code that works but isn’t maintainable. Our eval is first to measure: would you actually merge this code?