Build33 pieces

Notes from building things myself

  1. Build

    ETHval: From Calculation to Validation

    Version 1.0 focuses on testing assumptions and limitations rather than the numbers valuation models produce. It distinguishes past predictions from market reactions and revisits the basis for valuing Ethereum.
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    [Hashed] AI Ecosystem Growth Intern

    We are looking for an AI ecosystem intern to help run Hashed Nitro's programs, grow its community, and work across content and partnerships.
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    When Memory Becomes Action

    MemKraft has grown from retrieval and storage, through relationships, time, provenance, and learning from failure, into a lifecycle system that connects only verified memories to safe actions.
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    One Smartest Model Wasn't Enough

    More than model intelligence, what matters is a work loop that places human choices, stopping decisions, and verification between Claude's exploration of unclear goals and Codex's implementation through real-world feedback.
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    OBA Weekendthon at Kakao

    An introduction to a collaborative event where Korean companies opened their APIs and assets to builders, arguing that global competition requires an open technology ecosystem and joint market expansion rather than fighting among companies.
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    The Best Pokémon Trainer Harness

    An introduction to a harness hackathon that gets a lost AI in Pokémon Red to Viridian City through observation, memory, retries, and goal checks.
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    OBA Weekendthon: Call for Builders

    An invitation to developers and makers who want to expand Korea’s developer ecosystem: spend two days and one night building products with public APIs and open source from multiple companies, and meet fellow builders.
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    MemKraft v1.0 Tops the Benchmark

    A look at MemKraft’s long-term memory evaluation results and how each version expanded it into a ledger that records failures, decisions, and the reasoning behind prompts to improve the next action.
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    Hands Planting Grass Again

    After years as an investor, coding with AI every day has brought back the joy of turning thoughts into products. This is an account of that return, and of how the agents I build are changing the way I think and judge.
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    MemKraft v0.6–v0.8 Dev Notes

    An account of how MemKraft expanded from connecting channel and task context with the memories of multiple agents to include fact validity periods, memory tiers, restorable decay, and file relationship networks.
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    MemKraft v0.2–v0.5 Dev Notes

    How MemKraft grew from goal-based retrieval and type-specific decay to handling time and context through feedback, records of conflicts and failed hypotheses, and queries into past memory states.