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Books 180

Books

interesting read. it provides a thorough walkthrough of triton, starting from the basics and buildin

Sep 15

Books

The Principles of Diffusion Models

Sep 15

Books

Microsoft researchers just found why your AI agent fails. The fix is stupidly simple and I have not

Sep 14

Books

HAVE YOU GUYS READ THISSS? https://t.co/R2IQxfhQbG

Sep 14

Books

If you are tracking agent swarms research, this one is worth reading.

Sep 14

Books

This was a good listen. Highly recommend this blog from Beren.

Sep 12

Books

Recommended reading. Finally, a great overview of recursive self-improvement (RSI).

Sep 12

Books

i didn’t get why cursor made their own git system at first, but after checking out their agent swarm

Sep 9

Books

What a lovely day to read some papers https://t.co/oZv8uxIj47

Aug 27

Books

Palantir hands new hires Impro, an improvisation & theater book

Aug 27

Books

Your body is a map of the last five years. Here's how to read it.

Aug 26

Books

Good read. Improving recursive self-improvement through emergent depth.

Aug 26

Books

so one of my fav blogs from this year is now turned into a 1 hr explainer video with the author and

Aug 26

Books

Chinese researchers did it again!

Sep 8

Books

India’s IT services industry is worth $264 billion, decades-old, outsourced to, giants in the arena.

Sep 3

Books

reading about the the anatomy of a triton attention kernel today

Sep 2

Books

This highly unusual #book is the first one I’ve read on the philosophy of technology.

Aug 28

Books

random thought as we read: I feel that RL is kind of just like the 2026 version of 2014 "big data" -

Aug 28

Books

The best free Standford course + book combinations -

Sep 2

Books

If Paul Graham convinced you to build a LLM from scratch, this book by @rasbt is a solid choice.

Aug 24

Books

This book will change how you look at China:

Aug 25

Books

If you're trying to get genuinely good at LLM inference / AI systems, I think one of the best projec

Aug 23

Books

Great list of NLP papers/code to read by @Harvard https://t.co/FYIY4iBgtp

Aug 18

Books

RL for LLMs famously provides just 1 bit per rollout as learning signal, much less than SFT's dense

Aug 17
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