DeepSeek's Stated Research Goal: Endless, Smooth Accretion of Capability
teortaxesTex · x · 2026-09-10
Citing Astra's analysis of the DeepSeek V4.1 paper, teortaxesTex argues DeepSeek's research program targets smooth, endless accretion of capability: every computation on their servers feeds the next training stage — "everything is teacher." The author sees this as confirming his earlier guesses about DeepSeek's incremental, compounding approach to capability growth rather than discrete leaps.
More from Companies & People
- Claude for OSS participants can reapply after six-month term ends — lydiahallie · 2026-09-11
- Hugging Face launches Open Alignment team for open-model safety after FT op-ed — CFGeek · 2026-09-11
- Heavybit's DevGuild SF to Spotlight Long-Horizon Agent Stacks With 5-Min Live Demos — tylerjdunn · 2026-09-11
- TaliaRinger slams 'rotten AI culture': labs scrambling models on others' problems, authorship disputes — gklambauer · 2026-09-11
- AI ethicist Jeff Sebo publicly declines recruitment by Anthropic and OpenAI — davidmanheim · 2026-09-11
- Engineer resigns from Bell Labs, blasting MIT and Bell Labs' reckless automation race — benfielding · 2026-09-11