Program Counter @program_counter
all things toward agi Valhalla Joined December 2022-
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Andy Pavlo’s take on mmap() in databases is controversial, but correct. Buffer pool management, and managing the contents of caches, is a core competency of a database system. The heuristics that an OS kernel uses for this are highly unlikely to be the right ones for a DB.
Andy Pavlo’s take on mmap() in databases is controversial, but correct. Buffer pool management, and managing the contents of caches, is a core competency of a database system. The heuristics that an OS kernel uses for this are highly unlikely to be the right ones for a DB.
How is it possible that Claude Sonnet 4.5 is able to work for 30 hours to build an app like Slack?! The system prompts have been leaked and Sonnet 4.5's reveals its secret sauce! Here’s how the prompt enables Sonnet 4.5 to autonomously grind out something…
Excellent blog post.
Excellent blog post. https://t.co/Afy93tG0yz
My last role was basically 2.5 years of writing graph sorting, traversal, and mutation algorithms for a query compiler. Graphs and trees became second nature for me by the time I left. You need to actively reject crud slop in your career if you want to grow as an engineer.
My last role was basically 2.5 years of writing graph sorting, traversal, and mutation algorithms for a query compiler. Graphs and trees became second nature for me by the time I left. You need to actively reject crud slop in your career if you want to grow as an engineer.
There are four generations of RL researchers: 1) classic Q: Sutton et al. 2) classic PG: Jan Peters, Sham. PoWER, DAgger, NPG etc. 3) deep RL (2014-2022): David Silver, Sergey Levine, Peter Abbeel, etc. (me) 4) LLM-RL (2022+): Inside the frontier labs.
Julian Schrittwieser doesn’t tweet much. He doesn’t need to. His track record speaks for itself: co-first author on AlphaGo, AlphaZero, and MuZero. The systems that showed the world what real leaps in AI look like. Now he’s warning that public discourse is once again failing to…
this sunday I’m picking up a neat holy text about duality in gradient descent algo I might finally get it for real
I've read only one C++ book "Computational Geometry: Algorithms and Applications" by Mark de Berg, Otfried Cheong, Marc van Kreveld, and Mark Overmars Therefore, it's the only C++ book I can recommend.
if you’re a grad student or accomplished independent researcher doing this kinda stuff (see thread) and want GPUs + possibly money hmu
if you’re a grad student or accomplished independent researcher doing this kinda stuff (see thread) and want GPUs + possibly money hmu
Julian was co-first author on AlphaGo, AlphaZero, and MuZero. He doesn't have a major twitter presence, but he's been at the forefront of AI exponential progress for more than a decade.
Julian was co-first author on AlphaGo, AlphaZero, and MuZero. He doesn't have a major twitter presence, but he's been at the forefront of AI exponential progress for more than a decade.
The Stanford AI Lab community is proud to showcase over 20 research papers at CoRL 2025! Read about them here : ai.stanford.edu/blog/corl-2025/ @corl_conf
Wrapped up my intern at @Apple MLR and heading back to school. Really lucky to learn from & work with amazing folks here. Excited to see SimpleFold (github.com/apple/ml-simpl…) out and moving forward 🔥 — proud to contribute, and make minuscular effort to the community w/ the team.
This blog article from @thinkymachines is attracting lots of attention now. It is very exciting to see that Riemannian/manifold optimization is playing pivotal roles here. Since this is related to things I have been actively working on, I want to share some insights (a thread)
This blog article from @thinkymachines is attracting lots of attention now. It is very exciting to see that Riemannian/manifold optimization is playing pivotal roles here. Since this is related to things I have been actively working on, I want to share some insights (a thread)
I don’t often tweet on technical topics but I may have an opposite opinion here…
In my previous high-dim data analysis book: book-wright-ma.github.io, I have deliberately highlighted that the most efficient class of optimization algorithms that we ever know (including power iteration for PCA, ICA, and Dictionary Learning) are precisely optimization on Stiefel…
In my previous high-dim data analysis book: book-wright-ma.github.io, I have deliberately highlighted that the most efficient class of optimization algorithms that we ever know (including power iteration for PCA, ICA, and Dictionary Learning) are precisely optimization on Stiefel…
I think this project could be one of those "why have we ever done this differently?!" kind of moments. Instead of doing code training by just predicting the next token in the source file, interleave that with interpreter state which also have to be predicted! Devil's in the…
I think this project could be one of those "why have we ever done this differently?!" kind of moments. Instead of doing code training by just predicting the next token in the source file, interleave that with interpreter state which also have to be predicted! Devil's in the…
rlly wasn't expecting this post to have this many views & likes when i first got into ml, my learnings come from ppl with insightful blogs/posts like @Jianlin_S @SeunghyunSEO7 @eliebakouch @kellerjordan0 @JingyuanLiu123 @leloykun will keep sharing learnings to pay it forward <3
rlly wasn't expecting this post to have this many views & likes when i first got into ml, my learnings come from ppl with insightful blogs/posts like @Jianlin_S @SeunghyunSEO7 @eliebakouch @kellerjordan0 @JingyuanLiu123 @leloykun will keep sharing learnings to pay it forward <3

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