Viewing profile — tylerneylon
tylerneylon
HN member- Joined
- Sun, Jul 03, 2011, 6:30 AM UTC
- HN karma
- 2,127
- Public activity
- 229 items
- HN profile
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About tylerneylon
Email: tylerneylon@gmail.com
Recent public activity
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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…
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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…
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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…
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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…
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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…
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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…
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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…
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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…
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Comment #41922093
Thank you!
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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…
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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 …
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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…
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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…
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Comment #40846891
Thanks!
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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…
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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…
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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…
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Comment #40843154
Thanks for the reference! I've added this to my research list.
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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,…
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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 …
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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…
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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…
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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…
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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.
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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…