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woctordho

HN member
Joined
Tue, Feb 07, 2023, 12:57 PM UTC
HN karma
181
Public activity
129 items

About woctordho

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Recent public activity

  1. comment
    Comment #49140072

    MiniMax H3 is going to release weights. You can locally run it with definitely less than $10k (and possibly faster than Seedance's queue), and it's fun to train it for whatever you…

  2. comment
    Comment #49070663

    GGUF is at least better than bnb. From what I know, bnb does not yet find a way to quantize MoE with enough accuracy, and maintain the dequant-MoE kernels. In the age of Qwen 3.0, …

  3. comment
    Comment #49066303

    Speaking of finetune, currently a common practice is LoRA over bnb 4-bit base model, but I think it's time to replace bnb with GGUF as the base model format. GGUF is actively suppo…

  4. comment
    Comment #49016904

    Distributed training is much harder than distributed inference but not impossible. See the recent development of DiLoCo at Nous Research and Prime Intellect.

  5. comment
    Comment #49016176

    Relevant: Why Switzerland has 25 Gbit internet and America doesn't https://news.ycombinator.com/item?id=47652400

  6. comment
    Comment #49016156

    AI Horde has some measures to prevent Sybil attack that returns wrong results, but not enforce zero data retention. Prompts belong to the whole open source community. For example h…

  7. comment
    Comment #49016123

    Petals is from 2022. Nowadays intelligence of smaller models, quantization techs, and optimizations to run models faster on consumer GPUs have improved a lot. For distributed infer…

  8. comment
    Comment #49003939

    So is making a PR different from making the whole software. This is what an open source community is good for.

  9. comment
    Comment #48990751

    See the recent development of DiLoCo at Nous Research and Prime Intellect.

  10. comment
    Comment #48990745

    There's a lot of individual effort of improving the models. See how many finetuned models and LoRAs are there on Hugging Face.

  11. comment
    Comment #48990609

    There is a forum named Zhihu. AI translation works mostly well to translate contents there into English.

  12. comment
  13. comment
    Comment #48943256

    Yes in a mid-sized company. I'm exactly doing this, and what I'm competing against is the OpenAI API priced 0.2 CNY = 1 USD in China.

  14. comment
    Comment #48904271

    There's nothing wrong to run CUDA on non-Nvidia hardware. CUDA has an interface that is reasonably well-designed, well-documented/reverse-engineered, and battle-tested for decades.…

  15. comment
    Comment #48697534

    And humans don't run on markets.

  16. comment
    Comment #48695828

    Fun fact: Hacker News is canonically banned in China, but I'm still talking here. There are plenty of techs to work around region block. The incentive to report somebody is comical…

  17. comment
    Comment #48695822

    See the recent advance of DiLoCo at Nous Research and Prime Intellect.

  18. comment
    Comment #48695660

    Don't trust US or China. Trust the open source community.

  19. comment
    Comment #48670114

    There are lots of botnets providing home IPs.

  20. comment
    Comment #48670073

    Lots of people have succeeded. Neither Anthropic nor OpenAI has any technical advantage in the field of subscription engineering.

  21. comment
    Comment #48670052

    Actually nowadays LLMs are only trained with TBs rather than PBs of data, and it's not too hard to find GBs of agent traces online.

  22. comment
    Comment #48581701

    Simple trick: Use an agentic tool like Pi or OpenCode that allows you to switch models. First do some chats with DeepSeek or GLM who shows full thinking traces, then switch to Clau…

  23. comment
    Comment #48581668

    There is already a lot of effort to collect agent traces including reasonings, e.g. see the recent discussion: https://old.reddit.com/r/LocalLLaMA/comments/1u795pb/donate_... We've…

  24. comment
    Comment #48578815

    There's `--filter=blob:none` and it allows to automatically fetch blobs when needed.

  25. comment
    Comment #48578748

    It's 2026. Historically the way for large binaries in git was git LFS. Now the way for large binaries in git is just git.