tylerneylon

6 ms·

1.
by tylerneylon 9mo ago
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 electrons, and these interactions create secondary waves that
2.
by tylerneylon 1y ago
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 it's clear because it sounds like the two of you ha
3.
by tylerneylon 2y ago
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 intuitively about math concepts. * AI could get better at looking f
4.
by tylerneylon 2y ago
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 there's something missing. In math, there's an urba
5.
by tylerneylon 2y ago
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 will comply with the most recent values partially because it n
6.
by tylerneylon 2y ago
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 typically a floating point number in the range [0, 1], with 0 being
7.
by tylerneylon 2y ago
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 it works in practice to identify uncertainty.
8.
by tylerneylon 2y ago
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: https://learnandburn.ai/p/how-to-tell-
9.
by tylerneylon 2y ago
Thank you!
10.
by tylerneylon 2y ago
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 the author? I may have missed it, but I didn't even see
11.
by tylerneylon 2y ago
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 of input features: eg, predicting a house's value
12.
by tylerneylon 2y ago
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 having trouble un
13.
by tylerneylon 2y ago
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 interactive 3d graphics (I didn't reali
14.
by tylerneylon 2y ago
Thanks!
15.
by tylerneylon 2y ago
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 agency along with an emotional system would en
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by tylerneylon 2y ago
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 about consciousness from a scientific and analytic (v
17.
by tylerneylon 2y ago
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 the external input it receives. I'm suggesti
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by tylerneylon 2y ago
Thanks for the reference! I've added this to my research list.
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by tylerneylon 2y ago
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, and I don't have all the answers. But for th
20.
by tylerneylon 2y ago
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 true for any macro-expansion-like language. If you
21.
by tylerneylon 2y ago
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 wrong in 3d graphics is z-fighting, where a scene has rendering
22.
by tylerneylon 2y ago
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 assumption that sometimes peer elements in a list will have
23.
by tylerneylon 2y ago
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 matrix (the result of all queries times all keys) in memory. One
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by tylerneylon 3y ago
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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by tylerneylon 3y ago
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. So algorithms that solve XCC are not known to be
26.
by tylerneylon 3y ago
I like the txtar file format mentioned in this video. (Described below.) I’ve worked with teams who would have rejected this idea from a junior dev because it might sound too simple. It’s easy to forget the inherent value of simplicity, whi
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by tylerneylon 3y ago
When I worked at Medium, I pushed to get the team to natively support math markup. That never happened. It kind of killed my initial excitement for the company. Not only on Medium, but on the connected hope of a low-to-zero ad platform for
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Gsplat: CUDA accelerated rasterization of gaussians with Python bindings(docs.gsplat.studio)
109 points by tylerneylon 3y ago|33 comments
29.
Complex Function Viewer(davidbau.com)
1 points by tylerneylon 3y ago|1 comments
30.
by tylerneylon 3y ago
Hover over the upper-left part of the window to see an explanation of the page.

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