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fergal_reid

HN member
Joined
Mon, Sep 13, 2010, 5:25 PM UTC
HN karma
3,500
Public activity
517 items

About fergal_reid

@gmail.com: fergal.reid

https://www.linkedin.com/in/fergalreid VP of AI @Intercom PhD

Previous user id was 'feral'

Previously cofounder of Synference Predictive Analytics, applied Contextual Bandit / Reinforcement Learning tech, then PM of Optimizely Predictive Analytics team, following acquisition of Synference.

All views my own.

Coauthor of a paper on anonymity in Bitcoin, hence my interest in Bitcoin topics http://arxiv.org/abs/1107.4524

Recent public activity

  1. comment
    Comment #48958796

    Yes - but this will be the year of Linux on the desktop.

  2. comment
    Comment #48277631

    Well, you could conclude the world is now more dangerous for any kid let wander - even if fewer do, and even if the observed average risk to any kid is lower (given they are allowe…

  3. comment
    Comment #47130893

    My story of kids growing up in a post AI world: There's a gag in Star Trek 4 where Scotty goes back in time, and tries talk to a computer. The gag is funny because he is from the f…

  4. comment
    Comment #44841070

    I think the most direct answer is that at scale, inference can be batched, so that processing many queries together in a parallel batch is more efficient than interactively dedicat…

  5. comment
    Comment #43658723

    Yes we're familiar with the terminology and framing of gofai. Fwiw I read (most of) the 3rd edition of Russell and Norvig in my undergrad days. However, the point we're trying to m…

  6. comment
    Comment #43658618

    At Intercom we've also a lot of experience here. I disagree, basically. In our experience actual real world processes are not compactly defined, and don't have sharp edges. When yo…

  7. comment
    Comment #43648989

    You are correct that variable results could be a symptom of a failure to generalise well beyond the training set. Such failure could happen if the models were overfit, or for other…

  8. comment
    Comment #43647229

    Strongly agree. This seems to be very hard for people to accept, per the other comments here. Until recently I was willing to accept an argument that perhaps LLMs had mostly learne…

  9. comment
    Comment #43326972

    As an Irish person when I saw the article title, I was immediately sceptical. I personally believe most articles about the famine shy away from the horror of it, and also from a fr…

  10. story
  11. comment
    Comment #43287086

    Similar arguments to LeCun. People are going to keep saying this about autoregressive models, how small errors accumulate and can't be corrected, while we literally watch reasoning…

  12. comment
    Comment #42995218

    I think the authors misunderstand what's actually going on. I think this is the crux: >They are vastly more powerful than what you get on an iPhone, but the principle is similar. T…

  13. comment
    Comment #39421627

    Yes, in parameter space. However, TobyTheCamel's point is valid in that there are some parameter spaces where the MLE is going to be much less useful than others. Even without havi…

  14. comment
    Comment #39421328

    Right - I think this is what's at the heart of the original question. I know they asked with a continuous example, but I don't interpret their question as limited to continuous cas…

  15. comment
    Comment #39419472

    I think most of the replies, here and on stack exchange, are answering slightly the wrong question. It is fair to ask why the likelihoods are useful if they are so small, and it's …

  16. comment
    Comment #39412645

    > Lizzie was joking Well, obviously we shouldn't get too hung up on what a fictional character thought - but I stand by my recollection. Just googling it, and finding this page: ht…

  17. comment
    Comment #39411586

    The Austin novels made a lot more sense to me when I started to think of them as closer to tales of corporate Mergers & Acquisitions, rather than love stories. The rich familes the…

  18. comment
    Comment #39110560

    There's a big gap between training an algorithm on a toy problem, vs building a useful product. Software engineers often are missing key skills. They can learn them, but won't auto…

  19. comment
    Comment #38886699

    >The retrieval part is way more important. I don't agree with this - at Intercom we've put a lot of work into our Fin chatbot, which uses a RAG architecture, and we're still using …

  20. comment
    Comment #38333864

    I used to play Total Annihilation online back when I was in secondary school in the late 90s We'd hang out on IRC, and people would host a game on their IP. Eventually I got into c…

  21. comment
    Comment #37013977

    >Today's AI models are missing the ability to reason abstractly, including asking and answering questions of "Why?" and "How?" This claim seems over general, because you can ask gp…

  22. comment
    Comment #36579380

    Spend some time around a three year old. Human, human intelligence, language skills. Then try explain quicksort to them. Obvious waste of time. They wouldn't be much threat in a ze…

  23. comment
    Comment #35633452

    LLMs like GPT-4 'natively' speak certain syntaxes very well - e.g. Python, JSON. I'd suggest you want to take advantage of that, if at all possible, rather than embark on training …

  24. comment
    Comment #35003058

    I personally received a letter to: "Fergal Reid, Longford, Ireland", in the late 90s. Ireland had no postcodes at the time. I lived in a small village on the edge of a county calle…

  25. comment
    Comment #34631852

    Is this actually true, or BS? If true, can someone explain? My mental model is that vsync will lock the framerate to the same as the monitor refresh. So if monitor is 60hz, my game…