Hermes handles edge cases by making the skill loop conservative at the boundaries, not by pretending the agent has perfect judgment. The main pattern is: LLM judgment is allowed to propose structure, but irreversible actions are constrained.
LLMS
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Everything Claude Code: the most complete open source toolkit
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You are not using 100% of Claude Code.
Until you install this. It's called Everything Claude Code and it's the most complete open source toolkit I've seen. → 30 agents, 64 skills, 33 commands
→ Integrated AgentShield with 1,282 security tests
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Wondering how a mini model beats 5.5
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I did wonder, hard to explain how a mini model would do better than 5.5
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OPQA Benchmark: 20 Real Engineering Bottlenecks from OpenAI
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OpenAI-Proof Q&A (OPQA) is a benchmark of 20 real research and engineering bottlenecks that OpenAI teams encountered internally, each taking more than a day to solve. A model is given relevant code, logs, and experiment artifacts, then asked to identify and explain the root
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OpenAI benchmark scores stagnant since launch
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OpenAI has this interesting benchmark of OpenAI's real engineering bottlenecks, where the scores have not moved since launch over a year ago. Some earlier models did even better than 5.5. I wonder what's going on here.
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Open weights models more fragile than benchmarks suggest, says Mollick
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I think Epoch does a great job benchmarking, but I continue to believe that open weights models are much more fragile, especially out-of-distribution, than their benchmarks indicate. Vibe-wise, I don’t think they were only 3 months behind last year or only 4 months behind today.
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Optimize LangChain chains with GEPA now
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LangChainGEPA shout out to @bryonkuchML for contributing a PR to the GEPA repo to make it work for LangChain! You can now optimize your LangChain chains Docs: https://
gepa-ai.github.io/gepa/tutorials
/langchain_adapter_pair_sum_product_walkthrough/
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Nemotron-Labs-Diffusion: tri-mode model boosts accuracy and throughput
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Can one model switch between three decoding modes to crush both accuracy and throughput? NVIDIA researchers (with Georgia Tech, HKU, and MIT) introduce Nemotron-Labs-Diffusion — a tri-mode language model that unifies autoregressive (AR), diffusion, and self-speculation decoding
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AI: Why Only the Best Product Matters in This Market
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A finance professor summed up every AI valuation in one line: nobody wants to use the eighth best product. That's the whole bet behind Anthropic's $1 trillion. In most industries you can be fourth and still run a good business. In AI, the theory goes, you're one of a tiny
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Microsoft transforms SKILL.md into trainable object with SkillOpt
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Microsoft just turned SKILL .md into a trainable object! SkillOpt is a text-space optimizer for agent skills. Instead of hand-writing or one-shot generating your SKILL .md, SkillOpt treats the skill document as the trainable external state of a frozen agent and optimizes it