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Introducing our NeurIPS’26 work 💙Evolving Agent Teams (EAT) 💛, where a supervisor diagnoses why an agent team stal | Hanami
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Introducing our NeurIPS’26 work 💙Evolving Agent Teams (EAT) 💛, where a supervisor diagnoses why an agent team stalls and restructures it to escape local optima, for long-running optimization tasks.
EAT shows superior performance across domains:
🏆 Open Kernel Challenge, decode layer on H200: 2.449× over SGLang, #4 of 1,180 (as of Nov 1, 2026)
⚡️ NVIDIA kernels: KDA prefill on B200, 3.44× over FlashKDA (previous best: 2.96×)
🔥 AMD kernels: KDA prefill on MI350X, 3.01× over vLLM
💻 MoE serving on Mac: Qwen3.8-Flash-Next (Unsloth UD-IQ4_XS GGUF) on M5 Pro, ~3.3× faster prefill (930 tok/s) and 1.22× faster decode (43.7 tok/s) than Strata at the same memory
🦾 RoboDojo: 62.1 on held-out seeds (the best leaderboard entry as of Oct 26, 2026 is 55.3)
- Paper: https://t.co/KeSz8RyTne
- Code: https://t.co/cdLATp2jpw
🧵👇
Retweeted by @KyeGomezB from @shiyi_c98