Token Efficiency: Where the Tokens GoApril 30, 2026 Karpathy's Wiki, OpenBrain, and Picking a Context Layer for AI Two memory models for AI work. One synthesises on write, one on query. Which to pick depends on whether you're a solo researcher or running multi-agent.
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ilo: A Programming Language for AI Agents, Not HumansApril 29, 2026 OpenUISpec and the Case for Telling LLMs What's On the Page A spec for AI-readable component libraries. The same idea would cut the cost of scraping the web in half, if anyone published it.
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ilo: A Programming Language for AI Agents, Not HumansApril 9, 2026 Six Ways to Give an AI Agent a Map of Your Code Prowl, CodeBoarding, Memgraph GraphRAG, CodeGraphContext, SymDex, and jCodeMunch all solve the same problem differently. So does ilo graph. A comparison.
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ilo: A Programming Language for AI Agents, Not HumansApril 8, 2026 SudoLang and ilo: Two Opposite Bets on AI Programming SudoLang asks the LLM to interpret pseudocode. ilo gives the LLM a real compiler. Both claim to be AI-first languages. They agree on almost nothing.
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ilo: A Programming Language for AI Agents, Not HumansApril 1, 2026 Data Pipelines in 50 Tokens ilo now handles the full fetch, parse, transform, aggregate, write cycle. The builtins that made it possible.
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