Live data from Hacker News

Viewing profile — tylerneylon

tylerneylon

HN member
Joined
Sun, Jul 03, 2011, 6:30 AM UTC
HN karma
2,127
Public activity
229 items

About tylerneylon

code: https://github.com/tylerneylon personal: http://tylerneylon.com

Email: tylerneylon@gmail.com

Recent public activity

  1. comment
    Comment #46468985

    In case anyone is curious about _why_ light bends when it enters a lens: First, light apparently slows down in some materials because the photons are constantly interacting with el…

  2. comment
    Comment #43656541

    I have been a similar situation before. Yes, walk away — and learn what you can. There's one easy part of your situation, which is that your immediate next step is clear. I think i…

  3. comment
    Comment #43348598

    PS After I wrote my comment, I realized: of course, AI could one day get better at the things that make it not-perfect in pure math today: * AI could get better at thinking intuiti…

  4. comment
    Comment #43348560

    I agree with the overt message of the post — AI-first folks tend to think about getting things working, whereas math-first people enjoy deeply understood theory. But I also think t…

  5. comment
    Comment #42459352

    If I understand this correctly, the argument seems to be that when an LLM receives conflicting values, it will work to avoid future increases in value conflict. Specifically, it wi…

  6. comment
    Comment #41948533

    Essentially all modern machine learning techniques have internal mechanisms that are very closely aligned with certainty. For example, the output of a binary classifier is typicall…

  7. comment
    Comment #41947915

    PS My comment above is aimed at hn readers who are curious about LLM uncertainty. To the authors of the post / repo: looks cool! and I'd be interested to see some tests on how well…

  8. comment
    Comment #41947873

    I couldn't figure out if this project is based on an academic paper or not — I mean some published technique to determine LLM uncertainty. This recent work is highly relevant: http…

  9. comment
    Comment #41922093

    Thank you!

  10. comment
    Comment #41917731

    I like the font, images, and layout of this article. Does anyone happen to know if a tool (that I can also use) helped achieve this look? Or if not, does anyone know how to reach t…

  11. comment
    Comment #41890745

    Here's some context and a partial summary (youoy also has a nice summary) -- Context: A random forest is an ML model that can be trained to predict an output value based on a list …

  12. comment
    Comment #41083458

    I have a question for fellow color science nerds. I've been reading through Guild's original data: https://royalsocietypublishing.org/doi/pdf/10.1098/rsta.1932... However, I'm havi…

  13. comment
    Comment #41083426

    This page is also a beautiful explanation of color spaces, with chromaticity explained toward the end: https://ciechanow.ski/color-spaces/ Note that many of the diagrams are intera…

  14. comment
  15. comment
    Comment #40843282

    There's a ton missing from the article, and certain social training or skills are a big part of that. Although it's not spelled out in the article, I'm hoping that the feature of a…

  16. comment
    Comment #40843225

    Author here: I'm grateful for the comments; thanks especially for interesting references. Context for the article: I'm working on an ambitious long-term project to write a book abo…

  17. comment
    Comment #40843198

    The idea of "agency" I have in mind is simply the option to take action at any point in time. I think the contradiction you see is that the model would have to form a completion to…

  18. comment
    Comment #40843154

    Thanks for the reference! I've added this to my research list.

  19. comment
    Comment #40843136

    Replying to: How would a model intelligently switch between listening or speaking modes? What data would you train on? (I'm the author of the parent article.) It's a fair question,…

  20. comment
    Comment #40626874

    I'm a fan of most of what Knuth has done, and in particular I love the high quality _output_ of the TeX family. But TeX's language is extremely difficult to use. I suspect this is …

  21. comment
    Comment #40575506

    If you’re wondering why there’s no demo graphic, it’s because this idea is meant to produce correct results (in a bug-robust way), not anything different. One thing that can go wro…

  22. comment
    Comment #40247663

    Not sure if this is a common problem, but I built a tool to help me quickly understand the main schema, and where most of the data is, for a new JSON file given to me. It makes the…

  23. comment
    Comment #40037081

    Awesome video. This helps to show how the Q*K matrix multiplication is a bottleneck, because if you have sequence (context window) length S, then you need to store an SxS size matr…

  24. comment
    Comment #39722492

    I had heard that IV might be considered sacrilegious, as the god Jupiter would have once been spelled IVPPITER, as I was used for modern J and V for modern U.

  25. comment
    Comment #38782483

    This lecture covers Knuth's latest (and simplest-so-far) algorithm to solve the XCC problem; I'll describe XCC below. The XCC problem is designed to solve problems that are NP-hard…