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Today, we shared evals for an early version of the next model in our o-model reasoning series: OpenAI o3

One way to trace AI over the last year is GPQA Diamond. This is a Google-proof question set that experts get 81% right in their fields & highly skilled non-experts with 30 minutes per question and Google access get 22%. GPT-4 got 37% at the start of 2024. o1 got 78%. o3 is 87.7%

A thread on some of the fascinating noncoding genetic discoveries from 2024. I've written long form posts and discussed on The Genetics Podcast about these stories. I'll share links to all below with a brief summary.

#BREAKING - NIH plans to slash support for indirect research costs, sending shockwaves through science trib.al/8i0EUm0

Very excited to play a part in this study with Brett Kroncke Chai Ng Jamie Vandenberg and Invitae! Another great example of academia-industry collaboration as an aspiring physician-scientist

Early versions of ChatGPT overrepresented certain words like "delve," and those words exploded in scientific lit. But certain words were underrepresented, too. Here's the top 4: arxiv.org/abs/2406.11583

In 1958, this man’s heart kept stopping—20 times a day. Doctors had no solution. Then his wife demanded an experimental surgery that had only been tested on dogs. What happened next changed medicine forever. 🧵

Atrial fibrillation is far more heritable than generally perceived. Two new reports Nature Genetics identify many more linked genomic variants and a refined polygenic risk score Patrick Ellinor nature.com/articles/s4158… nature.com/articles/s4158…

Once again a task I had been putting off for weeks took 5 minutes. I will learn nothing from this.

Look at the distribution of z-values from medical research!

We have described a novel pathology with a therapeutic opportunity in long QT syndrome (Jervell and Lange-Nielsen syndrome). The study is now available on medRxiv and is registered on ClinicalTrials.gov (NCT06534671). medrxiv.org/content/10.110…

New paper out in Genome Biology! 🎉 We lay out best-practice guidelines for releasing variant effect predictors, developed through the Atlas of Variant Effects Alliance Atlas of Variant Effects Alliance Open, interpretable, and clinically useful VEPs are the goal. 📄 doi.org/10.1186/s13059…