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Viewing profile — mattew

mattew

HN member
Joined
Thu, Nov 19, 2009, 6:19 AM UTC
HN karma
265
Public activity
127 items

About mattew

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Recent public activity

  1. comment
    Comment #48630147

    I mostly use Opus for skill development. Once I have a solid skill implementation with a good eval, I move ongoing execution to a cheaper model running under Goose. With the eval y…

  2. comment
    Comment #47881334

    It was odd that there was no mention of the forced adaptive reasoning in the article. My guess is they don't have enough compute to do anything else here.

  3. comment
    Comment #45657294

    Looks like Lovable is expanding out to platform specific development with their just announced Shopify Integration

  4. story
  5. comment
    Comment #43962288

    I’ve only played with Junie and Aider so far and like the approach the Junie agent takes of reading the code to understand it vs the Aider approach of using the repo map to underst…

  6. comment
    Comment #43312056

    I saw something mentioned of voice control in aider.chat

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  8. comment
    Comment #42305720

    Thanks for sharing. Can you add a simple example that is more concrete and less abstrwct to the docs? It would be easier for people to understand if you did.

  9. comment
    Comment #40105974

    This makes sense. Can you clarify what you mean by journal management in this context?

  10. comment
    Comment #39886301

    I’ve found the OpenAI assistants API not really up to snuff in terms of predictable behavior yet. That said, I’m very bullish on agents overall though and expect that once they get…

  11. comment
    Comment #39620221

    Good stuff. How does this compare to Instructor? I’ve been using this extensively https://jxnl.github.io/instructor/

  12. comment
    Comment #39203789

    This right here is actually the coolest part about developing with LLMs. You just changed the functionality with a sentence rather than a config file, or writing code. It’s great t…

  13. comment
    Comment #38240194

    I also think of pudding guy every time something like this comes up.

  14. comment
    Comment #38143937

    That’s right. It was selective availability and you used differential post correction to clean the data up and get accurate locations for the data you were capturing. Thanks for th…

  15. comment
    Comment #38143868

    The interesting thing about GPS back then was that the location data you got back were randomly slightly incorrect every time you got a reading. I’m pretty sure this was so it wasn…

  16. comment
    Comment #37946339

    Don’t forget classification. Even the zero shot classification can be quite decent, but put a solid prompt together, or fine tune a set of examples and it’s way easier with an LLM …

  17. comment
    Comment #37751012

    Maybe I’ve been using PostgreSQL too long but when faced with the choice of adding vector support to PostgreSQL or using a new technology, my first choice was to start with the Pos…

  18. comment
    Comment #37718186

    I’m fine if you have a “contact us” for a true enterprise plan, but companies that have actual pricing plans should post them. I way prefer to buy from SaaS companies that display …

  19. comment
    Comment #37706517

    Haha - I posted this one too. Always good for a laugh reading the reviews for this one.

  20. comment
    Comment #37704461

    The 55 gallon drum of lube on Amazon always cracks me up. The reviews are classic. https://www.amazon.com/Passion-Lubes-Natural-Water-Based-Lub...

  21. comment
    Comment #37371137

    What I find entertaining/confounding is how difficult the abstracts to these new AI papers are to understand. It feels like academia is pushing this style, so it’s hard to blame th…

  22. comment
    Comment #37262076

    I’ve thought recently about using LLMs as part of the data build process or ML projects. This looks like a decent start in that direction by providing access to an LLM from scikit

  23. story
  24. comment
    Comment #37260054

    That blew my mind as well. I would have thought a much larger dataset would have been required.

  25. comment
    Comment #37149065

    I’m thinking about data for an LLM from a different angle for ecommerce analytics. 1. Build up a set of instructions on how to interpret a particular type of data in the system pro…