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Harbor-Index, a curated subset of 82 high-difficulty tasks from 29 benchmarks, found that no model-harness configuration exceeded a 30% pass rate, with GPT-5.5 (using Codex) reaching a ceiling of 28.0…

Researchers introduced Harbor Adapters, a unified evaluation infrastructure that ports more than 80 agentic benchmarks, and Harbor-Index, a curated meta-dataset of 82 tasks across 29 benchmarks, to en…

Ornith AI released Ornith-1.5-35B-A3B, a 35B-parameter mixture-of-experts model that activates about 3B parameters per token, trained via a self-improvement loop that jointly optimizes task generation…