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akssassin907

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Sat, Feb 21, 2026, 7:28 PM UTC
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27 items

About akssassin907

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Recent public activity

  1. comment
    Comment #47243373

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    Comment #47243345

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    Comment #47243315

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    Comment #47243292

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    Comment #47243278

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    Comment #47243246

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  7. comment
    Comment #47163274

    The context creep point really resonates. it's easy to keep adding 'just one more thing' to a prompt without realizing each run is getting heavier. I hatched three lobsters and sen…

  8. comment
    Comment #47163241

    Nice to see a real-world example of Codex handling a port like this. The browser first approach makes sense for TTS, being able to run it locally without a server is a big deal for…

  9. comment
    Comment #47163191

    This has been building for a while. The gap between 'AI safety' as a company value and real-world government contracts was always going to create friction. Still, it's hard to beli…

  10. comment
    Comment #47163154

    Always felt like the 'stochastic parrot' argument was missing something but couldn't articulate why. This article puts it into words nicely.

  11. comment
    Comment #47163125

    Really appreciate that this bakes in PII redaction and a review step before anything is published. A lot of tools that push data somewhere skip that entirely. The 'export locally f…

  12. comment
    Comment #47147674

    The part that gets me is 24,000 fake accounts and 16 million API calls. That's not a side project, that's a coordinated operation. At some point "distillation" stops being a techni…

  13. comment
    Comment #47144184

    Running local LLMs on Apple Silicon has gotten surprisingly capable — the M-series chips handle models that used to require expensive GPU setups, so tools like this that actually s…

  14. comment
    Comment #47144128

    The architecture here is right, local execution, remote window. Running agents on your own machine means your filesystem, tools, and env stay intact, you're not paying cloud rates …

  15. comment
    Comment #47144058

    I'm a technology proponent, but tech doesn't replace a human teacher when it's 24 students, 1 teacher, and the lesson plan is "open your i-Ready modules." My 4 kids all use i-Ready…

  16. comment
    Comment #47143394

    The buried insight is right: if random keystrokes produce playable games, the input is basically noise and the system is doing all the work. We've evolved past the point where inte…

  17. comment
    Comment #47118585

    By Moore's Law a 4-year-old machine should be a quarter of what's available today, it should be struggling. Instead it's rocking. Either Moore's Law is stalling, or software effici…

  18. comment
    Comment #47118475

    This is exactly the kind of thing teams need. The "just share your API key" shortcut is everywhere and it always comes back to bite you. Nice work solving a real problem. It's exci…

  19. comment
    Comment #47118442

    Fair point, I was going off the "quoted suspension email" in the OP. If it's only the AI service and not the full account, that is definitely not as bad. Either way the zero-warnin…

  20. comment
    Comment #47117426

    The heuristic detection approach is fine. The penalty ladder is broken. Reasonable progression: warning email → quota throttle → AI Pro subscription suspended → Google account susp…

  21. comment
    Comment #47117416

    Fine, restrict the OpenClaw usage. Fine, cancel the AI Pro subscription. But nuking Gmail, Google Photos, Drive — years of irreplaceable personal data — as punishment for how you r…

  22. comment
    Comment #47117403

    The buffet analogy breaks down here. Using OpenClaw isn't stuffing steaks in your bag — you're eating the same food, in the same seat, consuming the same tokens your subscription a…

  23. comment
    Comment #47114821

    Totally valid for fixed, well-defined tasks — a cron job is cheaper and more reliable there. The LLM earns its keep when the heartbeat involves contextual judgment: not just "is th…

  24. comment
    Comment #47114798

    That's a cleaner implementation than what I described. Small model as meta-router: classify locally, escalate only when confidence is low. The self-evaluation loop you're suggestin…

  25. comment
    Comment #47105259

    The pattern I found that works ,use a small local model (llama 3b via Ollama, takes only about 2GB) for heartbeat checks — it just needs to answer 'is there anything urgent?' which…