Mathematicians have low costs for using AI to solve problems, not relying on big labs
littmath · x · 2026-08-24
Refuting the idea that lab papers outperform external researchers 6:1 in prompting, the author argues that mathematicians try to solve problems they are interested in. Since API costs are much lower than hiring a PhD, the premise that external resources prevent one-shot solutions is flawed.
Related event: Community Pushes Back on Claimed AI 6:1 Advantage in Math Research(2 posts)→
More from AGI Musings
- GitCoin founder on Nick Land's technocapital: capitalism as a self-assembling machine intelligence — khademinori · 2026-10-16
- AI-driven job losses could turn $10T consumer debt into a $1T banking hole — churchkey · 2026-10-16
- Into the Unknown: an AI agent benchmark of 15 open research problems from US national lab scientists — Jeande_d · 2026-10-16
- Soon your AI will meet their AI — and humans without agents can't compete — danfaggella · 2026-10-16
- Analyst: in a year, models 2-3x better across the board at 10x lower cost, token use up 10-20x — DeryaTR_ · 2026-10-16
- Researcher argues RSI is an empty term: iteration, not recursive self-improvement — gerardsans · 2026-10-16