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.
AI
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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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Hermes Agent Self-Learning Loop: Workflow to Automation with Cleanup
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This is HOW Hermes Agent Self-learning LOOP works: Useful workflow → Agent skill
Experience → Gbrain page
Important decision → searchable memory
Repeated loop → automation Then Hermes curator cleans the stale skills so the loop keeps compounding. -
Surya OCR: State-of-the-art open-source document intelligence model with top scores
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– <1B params
— Akshay 🚀 (@akshay_pachaar) 30 mai 2026
– supports 91 languages
– 5 pages/s on RTX 5090
– runs on CPU, GPU, MPS
– 83.3% olmocr bench score (top under 3B)
Surya OCR is a state-of-the-art model for document intelligence.
100% open-source. pic.twitter.com/Sh2voqeUMf– <1B params
– supports 91 languages
– 5 pages/s on RTX 5090
– runs on CPU, GPU, MPS
– 83.3% olmocr bench score (top under 3B) Surya OCR is a state-of-the-art model for document intelligence. 100% open-source. -
Claude Opus 4.8 on DeepSWE Bench, 58% Pass@1 and 2nd
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Claude Opus 4.8 has landed on DeepSWE Bench, posting a 58% Pass@1 and taking #2 overall behind GPT-5.5. It continues a broader trend: slightly behind on raw score, but among the most reliable and efficient coding models across recent benchmarks.
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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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Opening AI Safety Evaluations and Datasets
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AI safety can't happen behind closed doors! So cool to see that the @AISecurityInst is releasing its evals, datasets, and models in the open on @huggingface, so researchers everywhere can scrutinize, reproduce, and build on them: http://huggingface.co/ai-safety-inst
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Machine Learning with Amazon SageMaker
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Machine Learning with Amazon SageMaker! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/SageMaker-AWS