They don't make any specific claims about what conditions it will diagnose. At 16:30, he says they are only initially doing "body composition" because anything more would add 9+ months to the deployment timeline. I assume they mean they process the images to return an estimate of body fat/muscle mass. Which isn't difficult and it seems likely they could get the error bars pretty low just off estimating subq fat alone. He doesn't say the specific classification they received from the FDA, just that it is a class 2 medical device.
I visited CERN last July. Was lucky enough to get into a group tour. The tour guide was a postdoc researcher who said the only times that public tours are allowed to take an elevator down is during long shutdowns. So while they do this work on LHC might be the best time to swing by for a tour (I might even try to return).
Even without the descent, my tour was great with showing the 70 year timeline, historical early particle accelerator equipment, and a cool view of the ATLAS control room. The facility is awe inspiring and a testament to Europe's willingness to make long-term commitments to furthering science research for the public good.
>publish these incredible papers explaining how they achieved their gains - something the American labs no longer do unfortunately.
Google is still releasing a lot of llm architecture research. They introduced speculative decoding of LLMs in 2022[1], then released the code to perform sceculative decoding for their Gemma 4 model this year[2]
writes this^ and then proceeds to highlight a bold title from the docs that says "summarized thinking" that explains things clearly in the first sentence. lol
Qualified it with "100%" because claude4 models show the first few lines of the chain of thought:
>On Claude 4 models, the first few lines of thinking output are more verbose, providing detailed reasoning that's particularly helpful for prompt engineering purposes. Claude Mythos Preview summarizes from the first token, so its thinking blocks do not show this verbose preamble.
https://platform.claude.com/docs/en/build-with-claude/extend...
Fable/mythos are the first models from anthropic that hide 100% of reasoning tokens. So it seems to me like we're about to get a lot more data about to what extent Chinese model progress has been a consequence of distillation techniques.
>Some administration officials have said that a resolution should include an acknowledgment on Anthropic’s part that its rollout of Fable and communication with the White House could have been improved, people familiar with the talks said.
>followed initial frustration Friday among some administration officials when they couldn’t immediately get Amodei on the phone, the people said.
That he didn't drop everything to talk to them seems like the major crux? But Dario doesn't even do the day-to-day operations Daniela does. Feel like Anthropic should just hire Dean Ball to be their liason or something
I should have contextualized the quote- "chat is dead" is from an openai employee which was describing how they're shifting focus to more agentic consumer products, and putting less focus on the back-and-forth chatbot interface.
I like that "chat is dead" framing I heard recently because too many people are having interpersonal relations with these LLMs and want to tune their "emotions"/tone. Humanity would be in a better place if we thought of the LLMs as tools and not friends. (even though they are very good at beating a turing test)
I'd love to see Anthropic (or someone with mythos access) create a cybersecurity version of this. So that I could create a pool that says "find security concerns in this github repo." Then the report from mythos gets sent to the code/project maintainer and revealed to the public (that paid for it) at the 90 day mark.
Agree with this. Strange to me to frame the "training recall" as cheating (33 of the 38 cheating instances). Most people think of "cheating" as breaking rules. How is the LLM model supposed to not use what was put into the weights?
>As long as Codex remains so affordable and useful they do not have to slash prices, just keep Codex usable.
I imagine they track usage and can see whether their habitual users are switching to something else and aren't going to slash prices 'for the hell of it'.