Why multi-agent wins: Papail suggests entropy injection across API calls helps
DimitrisPapail · x · 2026-09-22
On why team-of-N beats serial agents, DimitrisPapail offers a pedestrian explanation: models suffer worse tunnel vision at NT context, and injecting entropy across separate API calls seems beneficial — a non-scientific intuition.
More from Research
- Limite trained from scratch on under 300B math-heavy tokens, nanogpt-speedrun-inspired — tensorqt · 2026-09-22
- Forging 1024-bit RSA signatures in nearly SNFS time, sans factoring N — matthew_d_green · 2026-09-22
- Multi-turn evaluation changes what it means to pass the Turing test — CShorten30 · 2026-09-22
- Paradigma's 1B model scores 74.25% on BeyondAIME, trained on under 300B tokens — tensorqt · 2026-09-22
- Halo RL training platform launches with SGLang as primary rollout engine — ying11231 · 2026-09-22
- NYU Tandon hires performative prediction researcher Juan Carlos Perdomo as assistant professor — thegautamkamath · 2026-09-22