Nyquist Limit:The frequency of changes in tech is invalidating our understanding(ryanprior.com)

50 points by evakhoury 9 days ago | 21 comments

Blog post by Ryan Prior arguing that LLM-driven rapid change in software exceeds the human 'sampling rate' of understanding, using the Nyquist limit as an analogy.

Apple capped engineers at a $200 daily AI budget(stork.ai)

60 points by GloVin 4 days ago | 76 comments

A Stork AI daily newsletter issue led by a report that Apple cut some engineers' daily AI spending cap to $200, plus other AI news items.

A Critique of GPUI(blog.zortax.de)

117 points by ByteAtATime 4 days ago | 91 comments

A blog post critiquing the state models of Rust GUI frameworks GPUI and egui, arguing with benchmarks that signal-based run-once components scale better for complex desktop apps.

Colored Petri Nets, LLMs, and distributed applications(blog.sao.dev)

45 points by stuartaxelowen 9 months ago | 5 comments

Overengineering a way to know if people are in my university's CS lab(amoses.dev)

172 points by nicosalm 2 years ago | 80 comments

Vulkan Foliage rendering using GPU Instancing(thegeeko.me)

154 points by ibobev 2 years ago | 15 comments

Fine-tuned Qwen on my 16gb GPU to respond without the letter e(kevin-wu.ca)

26 points by k33wu 19 days ago | 10 comments

A blog post describing fine-tuning Qwen3-1.7B on a 16 GB GPU with SFT and RL to answer everyday prompts without using the letter 'e'.

We were wrong about GPUs(fly.io)

834 points by mxstbr 1 year ago | 529 comments

Fly.io blog post reflecting on how the company's bet on offering GPU machines to developers did not pan out as expected.

I got hacked: My Hetzner server started mining Monero(blog.jakesaunders.dev)

565 points by jakelsaunders94 11 months ago | 356 comments

Personal blog post by Jake Saunders describing how his Hetzner server was hacked and began mining Monero cryptocurrency.

Ollama now supports AMD graphics cards(ollama.com)

578 points by tosh 2 years ago | 194 comments

Ollama blog post from March 14, 2024 announcing preview support for running models on AMD graphics cards.

Building the heap: racking 30 petabytes of hard drives for pretraining(si.inc)

392 points by nee1r 1 year ago | 267 comments

Standard Intelligence blog post describing how they built a 30-petabyte hard drive storage cluster in a San Francisco colocation center for under $500k to store video pretraining data.

GPUs Go Brrr(hazyresearch.stanford.edu)

1056 points by nmstoker 2 years ago | 243 comments

Stanford Hazy Research blog post on what GPU hardware wants for efficient AI kernels, introducing the ThunderKittens CUDA kernel library.