34.5% when prompted by human subjects — Headlines are already blaring it For some time: Massive language versions (LLMs) can not just go clinical licensing examinations but in addition outperform individuals.
I do not know if This suggests It really is an infringing duplicate. But the first concern to answer is that if it is a duplicate at all/to start with. That is what our new effects advise: — arxiv.org/abs/2505.12546
“In five a long time, every single scholar will have their own AI companion who understands them a lot better than any Trainer and delivers motivating assist – we want to be exactly that companion.”
Brandon Guo / @geniebrandini: @AnthropicAI just dropped a far better long term-facing AI market map than any VC, and it's a visualization of prevalent Claude use conditions craigslist was The good bundling-unbundling of World wide web 2.0 this map would be the good bundling-unbundling of machine intelligence @deedydas [picture]
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@[email protected]: All round, I just made an effort to provide back a certain amount of definition in areas the place it had been lacking, like the icon size slider thumb at The underside appropriate, which was almost impossible to determine, even on the Tremendous crisp and great MacBook Professional Display screen. — I am meh on the large rounded corners on windows. …
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With AI, we will finally give learners what they actually need to have: prompt comments, tailor-made Understanding programs, and actual drive. Our intention is for making this companion expertise available to a billionstudents worldwide & therewith permit certainly personalised education and learning For each and every university student
Alex Bores / @alexbores: @jackclarkSF @AnthropicAI Sad to say, there's a fair sum With this thread that is definitely deceptive and/or inflammatory, especially “multi-million dollar fines might be imposed for insignificant, specialized violations - this represents an actual risk to scaled-down organizations.”
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Simon Willison / @simonw: My notes on Anthropic's significant essay about how they designed their multi-agent analysis system, that has ultimately talked me close to to taking multi-agent LLM prompt engineering seriously ...