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Articles
So yes, after a very long time, the article I had been talking about that Im writing since March, is
Books
The Principles of Diffusion Models
Newsletters
Must-read papers of the week
Papers
Large language models require alignment with human preferences for safe deployment, yet the shift fr
Code
OpenResearch was the #1 trending GitHub repo on Friday 🚀
Papers
We are hiring a Research Engineer in London to work on real-time generative world models. This is an
Code
On building an agent harness from scratch.
Papers
Meta just published a paper that might end the current LLM era.
Books
Microsoft researchers just found why your AI agent fails. The fix is stupidly simple and I have not
Threads
Introducing Bolt Forge. Free until Oct 14th:
Papers
a few years after Kaplan et al. was published, while studying induction heads*, Anthropic's mechinte
Books
If you are tracking agent swarms research, this one is worth reading.
Papers
"From RLHF to Direct Alignment" is a recent paper that discusses the mathematics behind different ap
Papers
Introducing PC-ALM, a local-learning alternative to backpropagation.
Threads
This has changed the way I do agentic coding. It helps remove unnecessary abstractions and LOC that
Articles
new post! I argue that current alignment techniques might soon become obsolete (as we scale RL), and
Courses
🧪 Six Stages, 12.7T Tokens: What Marin's Fully Open 8B Run Actually Teaches
Books
HAVE YOU GUYS READ THISSS? https://t.co/R2IQxfhQbG
Papers
This article introduces the Recurrent Looped Transformer (RLT), a new architecture designed to addre
Courses
Superintelligence should learn from experience through RL.
Papers
i had to go through a bunch of these for MATS prep, adding a few more i found useful around scheming
Courses
Reasoning from scratch round 3: This time, I cover generating a verifier for...
Threads
Invested in 10+ companies in the last year although financially speaking I had no business angel inv
Articles
A coworker with whom I was discussing inferencing and showed interest that I wanna start learning it
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