AI by Hand(byhand.ai)
289 pointsby sans_souseAug 14, 2026

10 Comments

zhainyaAug 14, 2026
I'm not sure what this is. Click past the subscribe page to get a bunch of links to descriptions of articles I could read if I was a subscriber?
mille562Aug 14, 2026
Click "Later->" to bypass subscribe.
dominotwAug 14, 2026
dont see later
PTOBAug 14, 2026
Eventually, none of us do.
kevincoxAug 15, 2026
I clicked "Back" to leave the user-hostile website.
arcfourAug 15, 2026
Yes. Convince me why your site is worth my attention, don't try to force it through a dark pattern and then try to justify why I should waste my time figuring it out.
lacooljAug 14, 2026
Scroll all the way down and there's a video, it's a course he's making for deep-dive into how Qwen 3.6 works internally
rustyminnowAug 14, 2026
https://www.byhand.ai/p/library

> AI by Hand is the research publication of By Hand Research, founded by Prof. Tom Yeh. By Hand Research studies model interpretability and explainability at the math and algorithm level. Subscribers receive free new articles and join live seminars. Members get access to our full research library.

megadragon9Aug 14, 2026
i created something similar a while back. Inspired by micrograd for showing the connection between math/calculus and code, then building along the way to a full NumPy deep learning library that I pretrained GPT-2 124M model with it. One way to learn is to trace through the PRs merged to the repo in chronological order.

The philosophy is the same: "What I cannot create, I do not understand." https://github.com/workofart/ml-by-hand

dominotwAug 14, 2026
wow this is nice work. i am diving into this world and was hoping to this exact thing. i am going to look to see how you did it. ty for sharing.
DamjanskiAug 14, 2026
this is sick!
copperxAug 14, 2026
My professor used this "by hand" technique when teaching quantum computation algorithms, so I have a soft spot for it.
alok-gAug 14, 2026
Nice! Is that also accessible online?
copperxAug 15, 2026
No :(
iamnotarobotmanAug 14, 2026
This is also recommended reading if you want to learn more about building LLMs from scratch: See:

Train your own LLM - https://github.com/angelos-p/llm-from-scratch

HN Discussion - https://news.ycombinator.com/item?id=48017948

ThunderousVoidAug 14, 2026
I’d say bad UX design. It may or may not be something good behind the door. But why do I enter?
slowinAug 14, 2026
I found Deep Learning by No Starch Press to be an excellent primer the foundation of AI:

https://nostarch.com/deep-learning-visual-approach

sn9Aug 15, 2026
There's also The Little Learner: https://www.thelittlelearner.com/
AdieuToLogicAug 15, 2026
See also:

  Foundations of Large Language Models[0]
0 - https://arxiv.org/pdf/2501.09223v2
vivzkestrelAug 15, 2026
- half the posts are locked

- other half have no visualizations whatsoever

- i have posted far better resources than this in the past collecting everything HN has over a 10 yr period on these subjects https://news.ycombinator.com/item?id=49183198

vivzkestrelAug 15, 2026
- EDIT

- every post is locked https://www.byhand.ai/archive

- sorry bruh, not gonna bother with a paywall that big

- amaze me first, i am happy to pay