Data centers dominate AI, but they're hitting physical limits. What if the future of AI isn't just bigger data centers, but local intelligence in our hands? The viability of local AI depends on intelligence efficiency. To measure this, we propose intelligence per watt (IPW):

i cannot overstate how absurdly impressive openai’s rl infra is the people working on it clearly view it as art and probably forget they get paid if you like rl, there’s really no better place on earth to work on it

Not true. Despite speculation, this is not a new change to our terms. Model behavior remains unchanged. ChatGPT has never been a substitute for professional advice, but it will continue to be a great resource to help people understand legal and health information.

We’ve sent LLMs to med school; the next frontier is residency. It feels like LLMs in the health domain are very book-smart. Beyond the headline scores on MedQA-style benchmarks, recent studies show that models perform roughly on par with medical students but fall short of

Hello world, we wanted to share an early preview of what we're building at @RadicalNumerics!

excited to share what we’ve been up to! at Periodic Labs, we’re creating AI scientists they think, design experiments, and optimize for results they also run experiments by moving robot arms in an autonomous lab it’s a fun, multi-turn task, with lots of open problems for AI

I’m thrilled to share that I’ve joined @OpenAI as a research resident, focusing on safety research and AI for health. After nearly 10 years studying the brain, I’m excited for this next chapter building AGI to accelerate medical progress and scientific research! #feeltheagi

💥 I’m starting something new inside OpenAI! It’s called OpenAI for Science, and the goal is to build the next great scientific instrument: an AI-powered platform that accelerates scientific discovery.

After two amazing years @GoogleDeepMind, I’m now joining @OpenAI to accelerate biomedical intelligence with @thekaransinghal and team! 🧬🩻 Incredibly lucky to have worked alongside @alan_karthi @vivnat @taotu831 @RyutaroTanno @valentinlievin and many others to develop AMIE and

LLMs are becoming more capable in health, and we need to think of safe ways to make use of them. In our recent AMIE work, we envision using LLMs to directly scale the physician. We imagine a setting where a physician deploys tens-hundreds of LLMs to gather patient information

Early detection of neurodegenerative disease has been a major challenge, often requiring invasive tests or waiting for clear symptoms. The stellar team @PrimaMente are tackling this challenge head on by building epigenetic foundation models that analyze DNA fragments in the

When we put lots of text (eg a code repo) into LLM context, cost soars b/c of the KV cache’s size. What if we trained a smaller KV cache for our documents offline? Using a test-time training recipe we call self-study, we find that this can reduce cache memory on avg 39x

Packed house at #AIMI25 for this star-studded panel featuring @Emily_Alsentzer (Stanford CS), @thekaransinghal (OpenAI), @KhaledSaab11 (DeepMind) and @marinkazitnik (Harvard Biomedical Informatics) and @drethangoh 🎯: foundational model roadmap for health AI

As we continue to see step changes in base model capabilities, our ability to advance human knowledge and unlock scientific progress accelerates 🔭🧪🩻

GOOGLE’S AI JUST DIAGNOSED YOUR RASH... BETTER THAN YOUR DOCTOR Google’s new AI, AMIE, just crushed real doctors in a head-to-head diagnostic battle — and it did it with smartphone photos, blurry PDFs, and zero coffee breaks. In a test with 25 actors playing sick patients, AMIE

https://t.co/la4GSk5u9d

Excited to share new validation results of our @GoogleDeepMind @GoogleAI AI co-scientist! Addressing the challenge of liver fibrosis, a condition affecting millions globally with few treatments options, we've been working with Dr. Gary Peltz @StanfordMed, exploring how

An LMArena clean sweep by the new Gemini-2.5-Pro 🥇🏆

AMIE with vision! Patients can now share visual content such as skin images or ECG tracings with AMIE. In a multimodal OSCE study, we show that AMIE outperforms PCPs in requesting and interpreting that information -- a thread 🧵:

Our multimodal AMIE study is out! This is another exciting step for conversational medical AI – many congrats to the AMIE team! A brief 🧵on what this means for both doctors and patients: https://t.co/LzZVeXdZqi