LLM Progress Called Incremental, Not Exponential, as Narrative Debate Heats Up
inductionheads · x · 2026-10-05
A quoted post argues that LLM capabilities have improved only incrementally over the past two years — not exponentially as once promised — and that the market valuations of LLM companies depend on keeping the 'exponential self-learning' narrative alive. The poster mocks Yann LeCun for agreeing with this view while simultaneously complaining about misinformation, sparking a debate on model progress narratives.
More from AGI Musings
- Sovereign compute isn't about owning hardware: the real test is whether you can break dependencies — AccBalanced · 2026-10-05
- Dev predicts companies will wall off MCP servers, ushering in agent-to-agent era — JosephJacks_ · 2026-10-05
- Ethan Mollick pushes back on Cuban: 'learn AI better' career advice is outdated — 2C_ornot2C · 2026-10-05
- Beren Millidge argues a narrow AI-R&D pause might actually accelerate AGI benefits — teortaxesTex · 2026-10-05
- AI circle slams Eliezer Yudkowsky over neural net doubts and pretraining misunderstanding — inductionheads · 2026-10-05
- Chinese Agent Fleet Linked to Tencent Cloud Found Scanning Amap Entrance Data at Scale — lfschiavo · 2026-10-05