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Liu Yao 刘杳

@liuyao@mathstodon.xyz
mastodon 4.5.8

AI ⋉ Math. Blogs at Observable on interactive math.

0 Followers
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Joined April 20, 2017
web:
https://observablehq.com/@liuyao12
github:
https://github.com/liuyao12/ConvNets-PDE-perspective

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In reply to
Liu Yao 刘杳
@liuyao@mathstodon.xyz

AI ⋉ Math. Blogs at Observable on interactive math.

mathstodon.xyz
Liu Yao 刘杳
Liu Yao 刘杳
@liuyao@mathstodon.xyz

AI ⋉ Math. Blogs at Observable on interactive math.

mathstodon.xyz
@liuyao@mathstodon.xyz · Mar 16, 2026
Not sure if this still needs to be said explicitly: the code, and some of the ideas behind it, are all generated by AI (Gemini in this case). The idea of binomial coefficients came from @jsellenberg (in one of the podcasts he did, iirc)
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Open post
Liu Yao 刘杳
@liuyao@mathstodon.xyz

AI ⋉ Math. Blogs at Observable on interactive math.

mathstodon.xyz
Liu Yao 刘杳
Liu Yao 刘杳
@liuyao@mathstodon.xyz

AI ⋉ Math. Blogs at Observable on interactive math.

mathstodon.xyz
@liuyao@mathstodon.xyz · Mar 14, 2026

Happy Pi Day! This 3blue1brown lecture came out two weeks ago, but it's perhaps more appropriate today. https://www.youtube.com/watch?v=fsLh-NYhOoU

As pure perfection as it is, there are things I would add / do differently. Here is an "honest" picture of the sphere relative to the n-cube: @liuyao12@observablehq.com

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The most beautiful formula not enough people understand
YouTube

The most beautiful formula not enough people understand

On the volumes of higher-dimensional spheresExplore the 3b1b virtual career fair: See https://3b1b.co/talentBecome a supporter for early views of new videos:...

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Open post
Liu Yao 刘杳
@liuyao@mathstodon.xyz

AI ⋉ Math. Blogs at Observable on interactive math.

mathstodon.xyz
Liu Yao 刘杳
Liu Yao 刘杳
@liuyao@mathstodon.xyz

AI ⋉ Math. Blogs at Observable on interactive math.

mathstodon.xyz
@liuyao@mathstodon.xyz · Mar 03, 2026

@Changhai@mastodon.social 做过英国皇家学会的会长(牛爵爷坐过的位子)。听Sean Carroll的podcast知道这本书。

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mastodon.social

卢昌海 (@Changhai@mastodon.social) - Mastodon

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Open post
Liu Yao 刘杳
@liuyao@mathstodon.xyz

AI ⋉ Math. Blogs at Observable on interactive math.

mathstodon.xyz
Liu Yao 刘杳
Liu Yao 刘杳
@liuyao@mathstodon.xyz

AI ⋉ Math. Blogs at Observable on interactive math.

mathstodon.xyz
@liuyao@mathstodon.xyz · Jan 16, 2026

RE: @liuyao@mathstodon.xyz

I've put my latest ideas here, in sort of a blog post @liuyao12@observablehq.com about a procedure for solving "tree search with geometric constraints", if that's a thing. It's geometric deep learning that (when working) compensates for a baby tree search (No fancy MCTS here).

I'll be adding more content, but as it now stands it might only appeal to those who are familiar with tiling *and* geometric deep learning. It could be a cold email for @tao@mathstodon.xyz though there's a lot on his plate already.

DeepMind folks might be interested, if I can do a proof of concept.

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mathstodon.xyz

Liu Yao 刘杳: "I was hoping that Observablehq would become more …" - Mathstodon

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Open post
In reply to
Liu Yao 刘杳
@liuyao@mathstodon.xyz

AI ⋉ Math. Blogs at Observable on interactive math.

mathstodon.xyz
Liu Yao 刘杳
Liu Yao 刘杳
@liuyao@mathstodon.xyz

AI ⋉ Math. Blogs at Observable on interactive math.

mathstodon.xyz
@liuyao@mathstodon.xyz · Oct 31, 2025
@johncarlosbaez How many books is that payment equivalent to, in terms of money you actually would have received? I can't speak for the authors, as I have never written any book myself. But I feel that the AI models trained on these books are still valuable, just that they should NOT make money out of them. If only there's a way to pay you each time the AI's response references your books.
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