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dot.awesome Dev Journal

dot.awesome

dot.awesome Dev Journal — structural AI governance, coherency architecture, cost economics, and the problems nobody else is willing to frame correctly. Hosted by dot.awesome. A Human.Exe production.

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  • 9 episodes
  • Avg 7 min
  • English

Episodes 9

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  • S1 · E9
    April 19 · 5 min

    What These Seven Problems Prove — A Conclusion

    Seven problems. One inference. If you take the blank slate, the AGI illusion, coherency, continuity, evaluation, and stability seriously — you're not talking about improving AI. You're talking about governing it. --- dot.awesome Dev Journal — a Human.Exe production. More series coming soon. Subscribe for updates. https://human-exe.ca/podcast

  • S1 · E7
    April 17 · 8 min

    The Evaluation Problem — How to Tell Whether an AI Is Actually Following the Problem

    If the evaluator has no understanding of the problem it's evaluating, you don't have governance — you have the appearance of it. The evaluation problem is the hardest one to admit, because it implicates everyone. --- dot.awesome Dev Journal — a Human.Exe production. More series coming soon. Subscribe for updates. https://human-exe.ca/podcast

  • S1 · E6
    April 16 · 8 min

    The Continuity Problem — Why AI Can't Remember Yesterday

    Session memory is not a feature gap — it's an architectural decision about what the system is allowed to know. Continuity requires deliberate design. This episode builds the case for making it structural. --- dot.awesome Dev Journal — a Human.Exe production. More series coming soon. Subscribe for updates. https://human-exe.ca/podcast

  • S1 · E5
    April 15 · 7 min

    The Coherency Problem — When AI Says One Thing and Does Another

    Contradiction isn't a bug you patch — it's a structural property of ungoverned inference. When an AI system has no coherency architecture, drift is the default. This episode names the mechanism. --- dot.awesome Dev Journal — a Human.Exe production. More series coming soon. Subscribe for updates. https://human-exe.ca/podcast

  • S1 · E4
    April 14 · 7 min

    The Real AI Test — Measuring Understanding, Not Output

    Benchmarks measure performance. Governance measures behaviour under constraint. The real test isn't whether an AI can answer the question — it's whether it knows when not to, and why. --- dot.awesome Dev Journal — a Human.Exe production. More series coming soon. Subscribe for updates. https://human-exe.ca/podcast

  • S1 · E3
    April 13 · 6 min

    The AGI Illusion — Why One Smart AI Was Never the Answer

    The dream of a single superintelligent AI misunderstands what intelligence is for. Governed systems — distributed, specialised, verifiable — aren't a consolation prize. They're the actual answer. --- dot.awesome Dev Journal — a Human.Exe production. More series coming soon. Subscribe for updates. https://human-exe.ca/podcast

  • S1 · E2
    April 12 · 7 min

    The Blank Slate Problem — Why Every AI Session Starts From Zero

    Every AI session begins with total amnesia. No memory of yesterday, no understanding of why things are the way they are. This mirrors something deeply familiar in how institutions treat people — and it's a structural problem, not a UX one. --- dot.awesome Dev Journal — a Human.Exe production. More series coming soon. Subscribe for updates. https://human-exe.ca/podcast

  • S1 · E1
    April 11 · 6 min

    Seven Problems Nobody Is Solving in AI — A Series Introduction

    Every field has problems it refuses to name. AI has seven. This is the frame before the argument — who we are, what we built, and why these seven problems matter more than any benchmark score. --- dot.awesome Dev Journal — a Human.Exe production. More series coming soon. Subscribe for updates. https://human-exe.ca/podcast

Showing 1–9 of 9 episodes