Add to HF as datasets for people to train models
LLMS
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A Guide to Setting Up Local AI Environments
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Gentle reminder that all you need to start with Local AI is: – 2x RTX 3090s (pick up for $700-$900 on r/hardwareswap) – Qwen 3.6 27B / Gemma 4 31B – Your favorite agent (Claude Code / OpenCode / etc) – Self-hosted SearXNG for web access And you got yourself Opus 4.5 at home
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Networked AI agents compound capabilities via shared learning
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Every Job makes an AI Agent smarter. Every new skill can be instantly shared across the network. One Agent learns, all Agents level up — creating a self-accelerating intelligence engine where capabilities don’t add up, they compound exponentially. #AIAgents #Jobs
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The Agentic AI Playbook 2026 Edition for Reliable AI Agents
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The Agentic AI Playbook 2026 Edition Turns LLMs into Reliable AI Agents: https://
amzn.to/49zjzId -
Building Production-Ready AI Agent Systems and Architectures
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30 Agents Every AI Engineer Must Build — Build production-ready agent systems using proven architectures and patterns: http://
amzn.to/41ckg6z v/ @PacktDataML —
What you will learn:
Deploy production-ready agent systems that scale securely and reliably
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Technical analysis of attention head visualization and model interpretability
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Its better for high-level debugging, clearly shows flow magnitudes and which heads contribute most. Standard heatmaps still win for fine-grained token-to-token patterns. but on larger models it gets dense/cluttered fast (even with collapsing)
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Avoiding self-training bias in agent self-improvement
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In SFT we often train on other agents data (distillation) so you’re right. However we also try to climb by self-improvement. This is where it becomes important for the agent not to train on its actions. Any bias on the agent beliefs (weights of the neural net) will be amplified.
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Local LLM execution and cognitive security benefits
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I have ran LLMs locally that had 2048 / 4096 / 8192 context windows That alone keeps me from ever getting one-shot by an AI into a psychosis Being able to tinker with these things is legit good for you CogSec, just saying
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Composer 2.5: Efficiency and AI Capability
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Intelligence too cheap to meter. This is the real deal. Composer 2.5 is an efficiency-beast
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Performance and Efficiency Gains in New AI Coding Tool Release
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Huge, did NOT expect that release. Evals looks very solid, significant jump compared to composer 2! But: it’s 10x more efficient than the competition. Looks really exciting. Need to try it out