Current AI Agents Lack the Human 'Power Law of Practice'
xwang_lk · x · 2026-08-03
AI researcher @angliai pointed out that human cognition follows the "Power Law of Practice": the more times a task is repeated, the time and cost required drop predictably, eventually approaching zero.\n\nHowever, current AI agents do not exhibit this learning and optimization capability when repeating identical tasks. This represents a significant gap in both cost efficiency and capability that needs to be closed in future agent development.
More from coding & agent
- Cloudflare Introduces @cloudflare/computer: A Smart Runtime for Agents — craigsdennis · 2026-08-04
- GitHub Ships 4 Copilot Spending Caps, But Session Limits Still Can't Stop Mid-Response — shashib · 2026-08-04
- Call for Alpha Testers: Automating arXiv Problem Solving with Local Codex/Claude — mhmazur · 2026-08-04
- Fixing LLM Word Salad: The 'Deslopify' Prompting Trend — sh_reya · 2026-08-04
- Mu: An Open-Source Toolkit for Building AI Agents — No-Cream3565 · 2026-08-04
- Self-Improving Agents Optimize vLLM, Boosting DeepSeek Throughput by 16% — yisongyue · 2026-08-04