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aka-rider

HN member
Joined
Sat, Feb 29, 2020, 1:14 PM UTC
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Public activity
9 items

About aka-rider

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Recent public activity

  1. comment
    Comment #49157727

    Not OP, but driving knowledge bases is the poster child use case for me https://github.com/aka-rider/llm-wiki I started with Karpathy's LLM wiki, and did everything he said not to …

  2. comment
    Comment #48841580

    What will be the price? GPUs costs are x3, memory and SSD x5. When OpenAI will be looking to sell and everyone knows it, the price would be x0,7 for depreciated used hardware or go…

  3. comment
    Comment #48785976

    The best metaphor I heard about LLMs so far - it's a search engine. The bigger the model the bigger the search space. Small models tend to have a "tunnel vision" or fall into "rabb…

  4. comment
    Comment #48785756

    There is no replacement for large models, indeed. And this is not the point I'm trying to make. There are numerous applications for self-hosted models. As a simplest example, when …

  5. comment
    Comment #48784593

    Model+harness combination means a lot. That's why all major labs are making their own. All models have quircks harnesses know about "you are reading the same file 3rd time you are …

  6. comment
    Comment #48784438

    On MacOS you have a seatbelt sandbox built-in. On Linux - docker with SELinux or similar utility over namespaces. You need to model attack vector first. `rm -rf` - restricted write…

  7. comment
    Comment #48784257

    I run Qwen3.6 on RTX4090, and it does amazing job for the most parts. For coding task, one needs to break the session among multiple calls I made https://github.com/aka-rider/orqes…

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