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NVIDIA's ENPIRE harness lets coding agents autonomously iterate on real-world robot policies, achieving up to 99% success on dexterous manipulation tasks like PushT and zip-tie cutting.
Artificial Analysis's independent AutomationBench-AA leaderboard shows Claude Fable 5 narrowly leading over Opus 4.8, with Gemini and GPT-5.5 further behind, and notes every model still violates business-rule guardrails.
OSWorld 2.0's creators find that even the strongest model setup only hits 20.6% binary accuracy on tasks averaging 1.6 hours of human effort, with agents struggling most on hidden-state recovery, tracking many items, and adapting to changing requirements.
OSWorld 2.0, a benchmark of 108 long-horizon computer-use tasks averaging 1.6 hours for a human to complete, shows even top models like Claude Opus 4.8 achieving only 20.6% binary accuracy, though rapid gains are expected as happened with OSWorld 1.0.
OSWorld 2.0, a benchmark of multi-hour, multi-program computer-use tasks, shows even Claude Opus 4.8 with maximum thinking only reaches 20.6% binary accuracy, though the field expects a rapid ramp similar to OSWORLD 1.0's rise from ~30% to ~75%.
Andrej Karpathy frames Claude Tag as the third major UI/UX paradigm for LLMs, following the website and desktop app eras, this time as a persistent org-embedded entity.
Raschka notes his 2026 bookmarks lean more heavily toward agent systems, tool use, long context, diffusion LMs, and serving infrastructure than his prior lists, signaling a field-wide shift.