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stillsut

HN member
Joined
Sat, Aug 10, 2013, 3:01 PM UTC
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1,149
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466 items

About stillsut

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Recent public activity

  1. comment
    Comment #45553244

    Exactly what I was looking for, thanks. I've been doing something similiar: aider+gpt-5, claude-code+sonnet, gemini-cli+2.5-pro. I want to coder-cli next. A main problem with this …

  2. comment
    Comment #45552253

    I've actually written my own a homebrew framework like this which is a.) cli-coder agnostic and b.) leans heavily on git worktrees [0]. The secret weapon to this approach is asking…

  3. comment
    Comment #45425937

    I think the easiest explanation is to look at the table here: https://github.com/sutt/innocuous?tab=readme-ov-file#how-it-... Watch how the "Cumulative encoding" row grows each ite…

  4. comment
    Comment #45425815

    I've been building something like this, a markdown that tracks your prompts, and the code generated. https://github.com/sutt/innocuous/blob/master/docs/dev-summa... Check it out, I…

  5. comment
    Comment #45425269

    Encoding / decoding hidden messages in LLM output. https://github.com/sutt/innocuous The traditional use-case is steganography ("hidden writing"). But I see more potential applicat…

  6. comment
    Comment #45350442

    I'm also working on a library to steer the sampling step of LLM's but more for steganographic / arbitrary data encoding purposes. Should work with any llama.cpp compatible model: h…

  7. comment
    Comment #45301345

    You can also earn zaps for pull requests working on Nostr clients. We've been hosting some bounties like this one here: https://app.lightningbounties.com/issue/615dc5f7-ed91-4ecd-8…

  8. comment
    Comment #45251190

    I've got some receipts for what I think is good vibe coding... I save every prompt and associated ai-generated diff in a markdown file for a steganography package I'm working on. C…

  9. comment
    Comment #45212360

    I'm actually working on something similar to this where you can encode information into the outputs of LLM's via steganography: https://github.com/sutt/innocuous Since I'm really l…

  10. comment
    Comment #45173656

    I think the "magic" that we've found a common toolset of methods - embeddings and layers of neural networks - that seem to reveal useful patterns and relationships from a vast arra…

  11. comment
    Comment #45173428

    "Unstructured data learners and generators" is probably the most salient distinction for how current system compare to previous "AI systems" examples (NLP, if-statements) that OP m…

  12. comment
    Comment #45169977

    Makes sense: M-chips, Falcon-9, GPT's are product subsets or the incumbent's traditional product capabilities.

  13. comment
    Comment #45169244

    At a meta-level, I wonder if there's this un-talked about advantage of poaching ambitious talent out of an established incumbent to work a new product line in a new organization, i…

  14. comment
    Comment #45121593

    Got your shovelware right here...with receipts. Background: I'm building a python package side project which allows you to encode/decode messages into LLM output. Receipts: the too…

  15. comment
    Comment #45117607

    Not an expert but my chats with ChatGPT led me to believe async + FastAPI can give you 40x throughput for request handling over non-async code. The essential idea was I could be pr…

  16. comment
    Comment #45074289

    Hey I made an open source version of this last week (albeit for different purposes). Check it out at: https://github.com/sutt/innocuous There's lot of room for contributions here, …

  17. comment
    Comment #45057609

    > we should always consider asking the LLM the same question more than once, perhaps with some variation in the wording. Then we can compare answers, Yup, this matches my recommend…

  18. story
  19. comment
    Comment #44998197

    Not OP but I know it can be difficult to really difficult to measure or communicate this to people who aren't familiar with the codebase or the problem being solved. Other than jus…

  20. comment
    Comment #44961632

    I'm rolling my own like this [0]: .agdocs/ ├── specs/ # Task specification files ├── conf/ # Configuration files ├── guides/ # Development guides for agents └── swap/ # Temporary f…

  21. comment
    Comment #44957088

    Yeah, I've been able to stack ~200 AI-generated commits on top of each other. Over 95% of the code is now AI generated. You can see each prompt and each commit that was generated h…

  22. comment
    Comment #44855414

    Just added a fork of aider that does do agentic commands: https://github.com/sutt/agent-aider In testing I've found it to be underwhelming at being an agent compared to claude code…

  23. story
  24. comment
    Comment #44841489

    I've been finding adding context for your external packages is really important when the package is relatively new and or has breaking changes since the model training cut-off date…

  25. comment
    Comment #44831699

    Yeah I suspect some of these providers will become Microsoft in the '90s type bully holdouts on implementing the emerging conventions. But ultimately with CLI interface you have wo…