TikTok goes dark in the US
techcrunch.com
Forgejo: A self-hosted lightweight software forge
forgejo.org
The "35-cent" Commodore 64 softmodem
oldvcr.blogspot.com
Haskell: A Great Procedural Language
entropicthoughts.com
How Unix spell ran in 64kb RAM
blog.codingconfessions.com
Yek: Serialize your code repo (or part of it) to feed into any LLM
github.com
How I built this website on a Raspberry Pi
mirawelner.com
Rust: Investigating an Out of Memory Error
qovery.com
Show HN: Interactive systemd – a better way to work with systemd units
isd-project.github.io
Hologram: A full-stack isomorphic Elixir web framework
hologram.page
Australian Open resorts to animated caricatures to bypass broadcast restrictions
crikey.com.au
Tracing Military Command Chains Through Time and Location
dot.studio
Beating cuBLAS in Single-Precision General Matrix Multiplication
salykova.github.io
Why do bees die when they sting you?
subanima.org
Boosting Computational Fluid Dynamics Performance with AMD MI300X
rocm.blogs.amd.com
'Once-in-a-century' discovery reveals luxury of Pompeii
bbc.com
WASM GC isn't ready for realtime graphics
dthompson.us
Second-Hand Bookshops in Britain: 2024 Report
wormwoodiana.blogspot.com
Pharaoh's Tomb HD – A Remake Made in JavaScript with Kaplay
pt-hd.iocaihost.me
Generating an infinite world with the Wave Function Collapse algorithm
marian42.de
The AMD Radeon Instinct MI300A's Giant Memory Subsystem
chipsandcheese.com
Dusa Programming Language (Finite-Choice Logic Programming)
dusa.rocks
Now if only I could purchase one*
*I realize enterprise “GPUs” are difficult to purchase as an individual whether they’re AMD or Nvidia, but AMD might be well-served to mimic their RX 480 strategy (“make a competitive mid-range GPU, distribute it through several board partners, and sell it at rock-bottom prices to get it to as many customers as possible”). If there’s a compelling reason to use AMD hardware over Nvidia, the software support will come. As an extreme example, if one could purchase an MI300X for $50 a pop, surely FAANG and others would invest time and effort into the software side to leverage the cost savings vs Nvidia, who is unquestionably price-gouging due to their monopolistic hold on the enterprise GPU market.