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
→
OPEN SOURCE
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Everything Claude Code: the most complete open source toolkit
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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. -
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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Opinion on DeepSeek R1, o1, and suspicious o3 benchmarks
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My personal vibes based opinion on this gap – at DeepSeek R1 level I believe this was real – o1 and r1 were not that far apart. From o3 onwards, I think there's something fishy going on with the benchmarks. Open models are not bad and certainly getting better, but the utility
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MiniCPM-5 1B: Tiny Open-Source Model Runs Locally, No GPU Needed
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The AI crowd keeps worshipping giant models.
— God of Prompt (@godofprompt) 30 mai 2026
Meanwhile, MiniCPM-5 1B is trying to make them look bloated.
A 1B open-source model that runs locally, on CPUs, edge devices, and even browsers.
Tiny model. Real deployment. No GPU cult required. pic.twitter.com/XWH8uso0SEThe AI crowd keeps worshipping giant models. Meanwhile, MiniCPM-5 1B is trying to make them look bloated. A 1B open-source model that runs locally, on CPUs, edge devices, and even browsers. Tiny model. Real deployment. No GPU cult required.
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Training AI on Amazon Electronic Reviews with Python NLP
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Training AI on Amazon Electronic Reviews Using #Python for Natural Language! – by – @gp_pulipaka
! JupyterLab/Jupyter Notebook WordNet, Lexical Semantic Relation Analyzer
Thesaurus, 155,000 Words
Synset 115,000, 205,000 word-Sense Pair. NLTK Library, spaCy, TextBlob -
Build Persistent AI Agents with Google ADK and CLI
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Build long-running AI agents that pause for days, survive restarts, and resume without losing context using Google Agent Development Kit and Agents CLI. Step-by-step tutorial with 100% Opensource code.
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NVIDIA Standardizes Open Model Families on Linux Foundation’s OpenMDW-1.1 for Unified Licensing
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NVIDIA is moving all four open model families – Cosmos, Isaac GR00T, Ising, Nemotron – onto the Linux Foundation's OpenMDW-1.1. Right now open-weight models come with a patchwork of software licenses that were never meant for AI plus bespoke terms with usage limits, so anyone
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Open-Weight AI Models Lag Frontier Closed-Source Models by Four Months
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According to research by EpochAI, open-weight models lag behind frontier closed-source models by four months. Four months. That's very little. And impressive at the same time.
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Local AI Setup Guide: Hardware, Software, Model Mechanics
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DROP EVERYTHING Everything you need to get started with Local AI completely FOR FREE Hardware. Software. Anything in between. > TheLocalAIBook DOT com Local LLMs From Zero to Hero Articles – Hardware foundations
– Software stacks
– Model mechanics > BuyAGPU dot AI The Buy