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rafiki6

HN member
Joined
Tue, Dec 07, 2010, 2:31 AM UTC
HN karma
1,278
Public activity
412 items

About rafiki6

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Recent public activity

  1. story
  2. comment
    Comment #46970717

    No technical analysis, but all models experience drift eventually.

  3. comment
    Comment #45263445

    Pretty fun! A few questions: 1 - are you planning to let people write their own prompts? 2 - when will you share the model names?

  4. story
    Ask HN: Where do people find part time consulting opportunities in ML?

    What are the most successful avenues? I'm located in Toronto so not finding the in-person meetings to be too useful.

  5. comment
    Comment #35490707

    Because OpenAI is a single team with a singular focus. Google is a behemoth with multiple products and a lot of people with opinions who you have to get through to launch a product…

  6. comment
    Comment #35490675

    More specifically validation loss is irrelevant when you can't even sample out of distribution anymore.

  7. comment
    Comment #35489773

    You seem to have a serious attitude problem in your responses so this is my last one. It's propietary company evaluation data, and it's for a specific domain related to software de…

  8. comment
    Comment #35489633

    Did I say that? The OP's post was saying it's somehow able to solve something new. It's showing a severe misunderstanding how how language modelling works.

  9. comment
    Comment #35489630

    I never said: - "it's not me it's the test" - "These systems are not just next token predictors" None of the papers or blogs you've shared offer any points that actually rebutt wha…

  10. comment
    Comment #35489617

    I have no idea what is shifting in real time. I formed this opinion of GPT4 by running it through several benchmarks and making adjustments to them, so my view is empirical and it …

  11. comment
    Comment #35489292

    Just because it's newly created doesn't mean that the structure of the language and the concepts it represents are actually new. It's clear that whatever tests he writes cover well…

  12. story
    Ask HN: Leveraging SWE and ML skills for ground breaking work?

    Being a SWE or MLE in my case, it seems like we're highly valued as executors on well understood problems. I'm wondering if there is a way to become a part of something ground brea…

  13. comment
    Comment #35400348

    The problem is everyone is doing this. There's no moat anymore. Building some dumb webapp to sell to people to make their lives marginally more convenient is not sustainable model.…

  14. comment
    Comment #35400002

    It's easy to say embrace it, but we aren't that far off from a fully capable developer. People are already stitching task based flows to make it basically build a whole thing and a…

  15. comment
    Comment #35399825

    That's pretty much what GPT is.

  16. story
    Ask HN: Generative AI makes me want to quit the industry

    I appreciate the hype, I get it, productivity booster yada yada. I just don't have the energy to keep up with it. I got a Masters and got into ML thinking we had time. My domains w…

  17. comment
    Comment #33685876

    That's an interesting take on what to do personally. I've been thinking the best think to do is just to work hard, keep head down, and if the axe falls, expect that it will likely …

  18. story
    Ask HN: What happens tech industry in pro-longed high interest rate environment?

    The modern 'tech' industry (i.e. companies that primarily sell software based services), has grown and thrived in a sub 7% fed fund rate environment (which we are fast approaching …

  19. comment
    Comment #33685445

    Generally speaking no company will willingly canabalize it's current product line for an unproven and premature technology in a new product line. That's also usually how companies …

  20. comment
    Comment #33685412

    I don't quite understand the strategy of sitting and waiting on a technology competitive advantage. Surely, to get the technology ramped up and integrated into their manufacturing …

  21. comment
    Comment #33684878

    Voice assistants, chat bots etc. are all premature technologies that are dying slow deaths. The primary reason is quality control. The way these devices are tested can never truly …

  22. comment
    Comment #33673039

    I just want to say I find it very enlightening to see my previous post have dual interpretations because I wasn't precise. It really explains why ancient literature can cause so mu…

  23. comment
    Comment #33672970

    It seems to me like we'd probably be better off partnering with domain experts in Genomics who want to build software that can be used across the board. Sounds like an interesting …

  24. comment
    Comment #33672942

    Honestly, I think people like you are the right kind of people to start private enterprises and bring along professional software engineers to help you build something incredible i…

  25. comment
    Comment #33672908

    I wish more fields would just start adopting the product/engineer partnership that Software companies have perfected. Engineers are very good at what they do. Product people are ve…