Insights on Intelligence and Agent Evaluation
teortaxesTex · x · 2026-07-17
The author cites and expands on a broader perspective: what truly matters isn't just LLMs. Fundamentally, any model capable of forming "long dependency chains with low sample complexity" could potentially lead to intelligence.
They also offer a practical tip: if resources are limited, prioritize investing in agent evaluation—an area where the author has personally spent considerable time building benchmarks.
More from AGI Musings
- Claude Code skill uses 10 Markdown rules to make outputs ADHD-friendly — alex_verem · 2026-07-22
- AI Power Demand Exposes US Energy Gap, Urging Shift from Scarcity to Abundance — bradneuberg · 2026-07-22
- ControlAI CEO says an international ban on superintelligence is needed to avert extinction risk — zetalyrae · 2026-07-22
- Gary Marcus says LLMs still cannot really do math on their own — GaryMarcus · 2026-07-22
- Gary Marcus says LLM math skills are like knowing only a car’s engine size — GaryMarcus · 2026-07-22
- AI may make digital work infinitely leveraged while offline life gets more human — illscience · 2026-07-22