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datastoat

HN member
Joined
Thu, Apr 04, 2019, 2:20 PM UTC
HN karma
313
Public activity
67 items

About datastoat

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Recent public activity

  1. comment
    Comment #48632213

    I believe that chain-of-thought reasoning blocks don't really correspond to what humans think of as reasoning. (See section 6.2.2 of the Fable/Mythos system card about "illegible r…

  2. comment
    Comment #47348890

    Goodhart's Law of Specification: When a spec reaches a state where it's comprehensive and precise enough to generate code, it has fallen out of alignment with the original intent. …

  3. comment
    Comment #46298071

    Wouldn’t it be handy if the browser could intelligently join this author’s sentences into paragraphs?! (in connection to the thread about Mozilla putting AI in the browser)

  4. comment
    Comment #45404590

    Darwin would claim otherwise! Single cells plus random mutation plus selective copying = rocket ships.

  5. comment
    Comment #44627229

    > They should also share their prompts Here's a recent ShowHN post (a map view for OneDrive photos), which documents all the LLM prompting that went into it: https://news.ycombinat…

  6. comment
    Comment #44347148

    Author: "5% chance of shipping something that only looked good by chance". One philosophy of statistics says that the product either is better or isn't better, and that it's meanin…

  7. comment
    Comment #42217011

    Empirical Bayes is exactly what I was getting at. It's a pragmatic modelling choice, but it loses the theoretical guarantees about uncertainty quantification that pure Bayesianism …

  8. comment
    Comment #42214907

    Non-Bayesian NN training does indeed use regularizers that are chosen subjectively —- but they are then tested in validation, and the best-performing regularizer is chosen. Thus th…

  9. comment
    Comment #42209622

    I like Bayesian inference for few-parameter models where I have solid grounds for choosing my priors. For neural networks, I like to ask people "what's your prior for ReLU versus L…

  10. comment
    Comment #39157963

    The article explained that there are two roughly equal drivers: (1) Water is a better heat reserve than land, and winds tend to blow eastwards, so Europe gets air warmed by the sea…

  11. comment
    Comment #38968785

    It'd be fun (and a bit scary) to use an LLM as a shell replacement. We'd give it the history of our commands as per the recent post [0], as well as their outputs, and it would turn…

  12. comment
    Comment #38654147

    According to the Wikipedia page for eszett [0] it evolved from "sz", as the name "eszett" suggests. (I only realized the link with "z" when I saw "tz" ligatures on street signs in …

  13. comment
    Comment #38556059

    They use Pyodide, a full Python interpreter in WASM: https://pyodide.org/en/stable/console.html Pyodide includes manyuseful Python libraries including numpy, pandas, and matplotlib…

  14. comment
    Comment #37363562

    Windows 8 (Metro) used semantic zoom. It's been a while, but I do remember that one of the apps that used it very nicely was Photos. A search for "windows metro semantic zoom" come…

  15. comment
    Comment #37354389

    As an Australian I'm used to hearing "antipodean" and sometimes "antipodes", so "octopodes" sits well!

  16. comment
  17. comment
    Comment #36357693

    That xkcd comic highlights the problem with observational (as opposed to controlled) studies. TFA is about A/B testing, i.e. controlled studies. It’s the fact that you (the investi…

  18. comment
    Comment #35581142

    I’m curious! Why “Bayesian”?

  19. comment
    Comment #34879794

    I tried... I pointed out a problem and asked ChatGPT to fix it, unsuccessfully. I asked it for a proof of correctness, then pointed out a problem in its proof and asked ChatGPT to …

  20. comment
    Comment #34879771

    You're right, ChatGPT is probabilistic. None of this is graded by the way -- it's all just for fun and bragging rights. I've asked students to share their full dialog, both prompts…

  21. comment
    Comment #34879372

    I'm trying something similar with an introductory Algorithms class. After we go through Breadth First Search, there's a practical assignment where students are asked to modify the …

  22. comment
    Comment #34583469

    I’m in the same boat as you — sensitive teeth, but can’t not rinse. What works for me is to treat the toothpaste as a “post-rinse medicated rub”: squeeze out a bit more, and rub it…

  23. comment
    Comment #34547749

    > Please, please: learn some probability via measure theory. You’ll start reading machine learning papers wondering how people ever express themselves precisely without it. The ent…

  24. comment
    Comment #34393384

    Indeed, there are Bayesian neural networks and there are non-Bayesian neural networks, and I shouldn't have implied that all neural networks are non-Bayesian. I'm just trying to po…

  25. comment
    Comment #34391253

    In my example, of predicting a coin toss, the naive output is a probability distribution: it's "Prob(heads)=0.5, Prob(tails)=0.5". This is the distribution that will be produced bo…