Nathan Lambert says he is more convinced that AI efficiency gains will drive wider diffusion than that model breakthroughs will eliminate known LLM weaknesses. He adds that he has been spending a few hours reflecting on recursive self-improvement (RSI) after a productive week in San Francisco.
I’m more bought into AI becoming far more efficient, which is a massive lever on diffusion, than I am on AI models making massive breakthroughs that result in eliminating all the known weaknesses of LLMs.
Happily spending a few hours reflecting on RSI after a great SF week.
Source: Nathan Lambert · x.comPublished · added here
