Sriram Krishnan says U.S. open-weight startups face a much tighter distillation problem
soumitrashukla9 · x · 2026-07-21
Sriram Krishnan argues that the AI ecosystem is structurally uneven: every model bootstraps from human knowledge, but today some countries’ models can train on American models, while American open-weight startups may face much tighter constraints when trying to distill from other American models.
The thread frames this as a broader competitive problem for open models in the U.S.: Chinese models may be able to gather reasoning traces and other model outputs more freely, while American teams may be boxed in by access and policy asymmetries.
More from AGI Musings
- AI companionship dissolves the friction real intimacy needs, warns long-form thread — YogeshMalik · 2026-09-11
- Why So Many AI Researchers Think the Machines Could Kill Everyone — wiredmagazine · 2026-09-11
- 'Hallucination' Is a Category Error: Naming AI 'Intelligence' Limits Our Imagination — Genaforvena · 2026-09-11
- Data engineering, not agent frameworks, is the real bottleneck for enterprise AI agents — dhruv2038 · 2026-09-11
- François Fleuret: Only Two Long-Term Futures — No Super AI, or Staying Fully Human With It — francoisfleuret · 2026-09-11
- IG reel debunking the 'winning the AI race against China' fallacy hits 500k likes — louisvarge · 2026-09-11