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Bayes7

51 karma · joined December 26, 2022

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Bayes7··on Nobel Prize in Chemistry 2026 to Henri B. Kagan and Kenso Soai
The popular information is always a great read for non-experts! https://www.nobelprize.org/prizes/chemistry/2026/popular-inf...
Bayes7··on In an $80 motel room, a discovery to shed light on the origins of life
>"The first species of Paulinella was discovered on Dec. 24, 1894, in the sediments of a backwater of the Rhine River by the German biologist Robert Lauterborn. He named the genus after his stepmother, Pauline."

How can they say this without providing more background?

Bayes7··on I wrote my PhD Thesis in Typst
| „[…] was a friend telling me his LaTeX thesis took 90 seconds to compile towards the end“

Sure, but in order to iterate you won’t have to compile the whole document but can just keep the chapter you are working on by structuring it with \includes

Bayes7··on Show HN: Torch Lens Maker – Differentiable Geometric Optics in PyTorch
Its a thing: https://www.nature.com/articles/s41377-024-01590-3
Bayes7··on Lemma for the Fundamental Theorem of Galois Theory
Would you mind sharing how it turned out useful?
Bayes7··on PhotoDNA
thanks!
Bayes7··on PhotoDNA
Is there any good article/paper that describes how it actually works or is implemented not just in high-level and hand-waving terms?
Bayes7··on Magic Wormhole: get things from one computer to another, safely
great project!
Bayes7··on Foliate: Read e-books in style, navigate with ease
Check out sioyek, it’s great and can open epubs like normal pdfs:

https://sioyek.info/ https://github.com/ahrm/sioyek

Bayes7··on Beating NumPy matrix multiplication in 150 lines of C
This was a great read, thanks a lot! One a side note, any one has a good guess what tool/software they used to create the visualisations for matrix multiplications or memory outline?
Bayes7··on Self-Consuming Generative Models Go MAD
Summarised by https://xkcd.com/2494
Bayes7··on Simplifying Transformer Blocks
Okay, I see that for inference. But for training it shouldn't matter because I need to hold on to all my activations for my backwards pass anyways? But yeah, fair point!
Bayes7··on Simplifying Transformer Blocks
"[...] modern neural network (NN) architectures have complex designs with many components [...]"

I find the Transformer architecture actually very simple compared to previous models like LSTMs or other recurrent models. You could argue that their vision counterparts like ViT are conceptually maybe even simpler than ConvNets?

Also, can someone explain why they are so keen to remove the skip connections? At least when it comes to coding, nothing is simpler than adding a skip connection and computationally the effect should be marginal?

Bayes7··on Show HN: Terminal Based Wikipedia
ah I see, cool thanks!
Bayes7··on Show HN: Terminal Based Wikipedia
hey, off topic but can you explain or link a post which explains what the benefits of the alias -> function definition are over just defining the function directly? Thanks!
Bayes7··on Anki and GPT-3
Very cool! However, I often feel like the process of generating the question/answer necessary for the Anki card is an important part of the learning process because it forces you do deeply think about the material and reflect on it. So I think there is a trade-off involved
Bayes7··on Ask HN: What's the best lecture series you've seen?
Robert Sapolsky's Human Behavioural Biology [0] It's like a (good) netflix series you can binge watch!

[0] - https://www.youtube.com/watch?v=NNnIGh9g6fA&list=PL150326949...