David Lev Wilson
10 posts

David Lev Wilson
@DavyPoosky
Learning Linux and AI from the ground up and sharing the progress. Occasional ukulele legerdemain.
Austin, TX Katılım Haziran 2026
171 Takip Edilen7 Takipçiler

@0xSero But the real question is 2 or 3 of these or a 6000 pro?
English

@picocreator all of the doorways would have to go up to the ceiling
English
David Lev Wilson retweetledi

@bryan_johnson Challenging yourself, feeding yourself, growing yourself, crushing your enemies’ hopes and dreams.
English
David Lev Wilson retweetledi

@mike64_t Is this still mostly true on architectures that have more unified memory between the CPU and GPU?
English

Everybody should read this because it tells you how opinionated the GPU is about how exactly it wants work to be run, and taken to its logical conclusion it implies that e.g. your CPU-offloaded optimizer is not at liberty to run eagerly, but sit behind a message pump waiting for QMD sem-sets.
It's perversely the *GPU* driving the *CPU*, not the other way around.
The CPU has dispatched work statically, yielded control to the GPU and then aiding to preserve the CUDA graph dependency model facade as best as possible.
cuGraphAddBatchMemOpNode with WRITE/WAIT_VALUE is really all you need here from an api perspective.
SzymonOzog@SzymonOzog_
Saturday reading: "What happens when you run a CUDA kernel" - very cool blogpost on the details about the CPU<->GPU communications required for lauching a kernel
English
David Lev Wilson retweetledi

Neural CAs are amazing, but they've never scaled past low resolution.
We propose a simple solution that allows an ~8x resolution boost with minimal extra parameters.
The core idea: Treat cells as local neural fields instead of pixels.
Try the demo: cells2pixels.github.io
🧵
English
David Lev Wilson retweetledi
David Lev Wilson retweetledi








