Teknium: models that train on only one harness can't be 'near AGI'
Teknium · x · 2026-09-07
- Teknium (Nous Research), in a discussion with pvncher, says models should simply be trained on multiple harnesses: every Chinese model, Fable, even Muse works across harnesses quite well.
- He argues it's hard to believe a lab is nearing AGI if its model can only be trained to handle one orchestration workflow—mocking the "era of AGI" narrative since Astra's release.
Related event: OpenAI Models Criticized for Overfitting to Native Harness(3 posts)→
More from Models
- Sander Dieleman on Diffusion Models, Typicality, and Why ML Breakthroughs Are Closer Than They Look — sedielem · 2026-09-08
- Astra on low reasoning beats Sol on high, and runs twice as fast, devs confirm — steipete · 2026-09-08
- Astra Driving Blender via Computer Use Could Be AI's Fourth Demand Wave — firstadopter · 2026-09-08
- GPT-6 Astra Tops Blueprint-Bench 2, Nearing Human 3D Spatial Understanding — steipete · 2026-09-08
- Same $10/$50 price tag, very different bills: Astra vs Fable 5.1 token efficiency and cache economics — nearsync43 · 2026-09-08
- davinci-002 shutting down September 28, ending the GPT-3 era — altryne · 2026-09-08