repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 1mo ago
miltonian/principles
Generate specialized AI agents using first principles thinking.
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 62%A field guide to AI agents in 2026 →
- PossiblePossibly related (embedding) · 56%Five things you need to know about AI →
- PossiblePossibly related (embedding) · 55%General Intuition’s $2.3B bet that video games can train AI agents for the real world →
- PossiblePossibly related (embedding) · 54%From pilot to production: what it really takes to run AI for real - Techzine Global →
- PossiblePossibly related (embedding) · 53%Solutions, challenges and rising tensions in AI and mathematics →
- PossiblePossibly related (embedding) · 56%What billions of AI predictions taught Expedia before the age of AI agents →
- PossiblePossibly related (embedding) · 46%UofA philosopher on whether AI models like Claude, ChatGPT can think - KUAF Public Radio →
- PossiblePossibly related (embedding) · 53%Prime Intellect raises $130M Series A to help enterprises build their own AI agents →
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newsGeneral Intuition’s $2.3B bet that video games can train AI agents for the real worldnewsFrom pilot to production: what it really takes to run AI for real - Techzine GlobalnewsUofA philosopher on whether AI models like Claude, ChatGPT can think - KUAF Public RadionewsPrime Intellect raises $130M Series A to help enterprises build their own AI agentsarticleA field guide to AI agents in 2026newsFive things you need to know about AInewsWhat billions of AI predictions taught Expedia before the age of AI agentsnewsSolutions, challenges and rising tensions in AI and mathematicsnewsAI Isn’t Smarter Than a Baby—Yet