1.2B model just beat GPT-5, Gemini-3.1-Pro, and Claude on biological longevity tasks.
This is a AI post classified by Jev as Frontier models (a model release), kept by the AI Radar because it carries real work, not commentary.
1.2B model just beat GPT-5, Gemini-3.1-Pro, and Claude on biological longevity tasks. LFM2-1.2B-Longevity and LFM2-2.6B-Longevity with LongevityBench 17 tasks across clinical records, DNA methylation, transcriptomics, proteomics, and genetics. They trained 1.2B and 2.6B models to read DNA methylation, proteomics, OpenGenes genetics and clinical aging data. Paper is on the cover of Cell, Models + benchmark are public. This is the interesting part: you don’t always need a 1T-parameter model to read the body. You need the right data and the right specialization.
Posted by Md Ismail Šojal 🕷️ (55.6k followers) 1 days ago · 18 likes · 2.1k views · view the original post on X. Kept by the AI Radar as Frontier models.
More AI work like this
- TikTok reacts to this: — @_AashishReddy
- Lyria 3.5 from Google DeepMind is now live on fal — @fal
- Tested Jev vs GPT-5.6 for predicting my taste in books. — @venturetwins
- Wife wanted 5-yo involved, so Fable gave me a bunch of reading questions to give him to… — @kevinnbass
- opus 5.2 learned to write poems — @aliceisplaying
- meanwhile grok first try: — @thekitze
- Les premières pièces totalement modélisés par GPT6-Astra — @DFintelligence
- gpt 5.6 terra = gpt 6 astra — @notjazii
Every post is read and classified by Jev (TypeSafe): what it is, which market it belongs to, and whether the link is a real tool. 31.3k posts from 4.7k X accounts over the last 14 days, 1.3k tools, 19 markets. Collected every 5 minutes, fully re-ranked every hour — last update 2026-09-19 21:10 UTC. Full method.