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CoworkOS:Scaling Agent Coworkers for Real-world Automation

Hugging Face Daily Papers ↗ · yesterday Cached

CoworkOS is a long-horizon agent harness that separates strategy from execution, enabling human-in-the-loop collaboration through shared artifacts and sustained automated post-training that improved Qwen3.6-35B-A3B's average benchmark score from 33.19 to 42.95 over five RSI-driven rounds.

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#real-world-automation

@rohanpaul_ai: Today’s frontier agents are far less ready for real-world automation than their benchmark scores suggest. This paper pr…

X AI KOLs Following ↗ · 2026-06-11 Cached

This paper introduces Agents' Last Exam, a benchmark that tests AI agents on real expert work across 55 digital work areas. Current best agents fail most tasks, averaging only 2.6% pass rate on the hardest tier, revealing a large gap between benchmark scores and real-world automation readiness.

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