Ethan Mollick: data-sovereignty small models struggle to keep up with frontier AI
emollick · x · 2026-09-14
Ethan Mollick argues the enterprise data-sovereignty movement will hit a hard reality: as long as AI capability growth stays exponential, keeping fine-tuned small models continually beating larger general-purpose models is expensive and difficult. He cites a 2026 scenario where GPT-6 Astra runs multi-state research projects while a law firm spends heavily fine-tuning NVIDIA Nemotron 3. Fine-tuned models can create competitive advantage, he adds, but they complement frontier models rather than replace them across most domains.
Related event: Ethan Mollick: Fine-tuned small models can't outrun frontier AI growth(2 posts)→
More from AGI Musings
- Kevin Roose's Machine Gods pod: why scientists are mad at OpenAI solving their hardest problems — kevinroose · 2026-10-30
- Cryptographer Matthew Green: Anthropic's agent worm framing is unhelpful, we need a simulated one to know — matthew_d_green · 2026-10-30
- Ethan Mollick on AI and work: 'You're a hand-weaver in a world of power looms' — emollick · 2026-10-30
- Vercel founder Rauch: trust is the deepest moat for a post-AGI business — soleio · 2026-10-30
- Scattered Across AI Assistants: A New Kind of Cognitive Failure Nobody Has a Prior For — manosaie · 2026-10-30
- a16z partners: 10-20M people drive $150-200B in token spend, and AI workspaces will eat the browser — petergyang · 2026-10-30