Getting Forked by Microsoft
philiplaine.com
Reverse engineering the obfuscated TikTok VM
github.com
The effect of deactivating Facebook and Instagram on users' emotional state
nber.org
Official abuse of state security has always been bad, now it's horrifying
theregister.com
Things Zig comptime won't do
matklad.github.io
Gemma 3 QAT Models: Bringing AI to Consumer GPUs
developers.googleblog.com
Crows can recognize geometric regularity
phys.org
Show HN: I built an AI that turns GitHub codebases into easy tutorials
github.com
TikZJax: Embedding LaTeX Drawings in HTML
tikzjax.com
Find the Odd Disk
colors2.alessandroroussel.com
Android 16 lets the Linux Terminal use your phone's entire storage
androidauthority.com
Banana Pi BPI-RV2 RISC-V gateway board
docs.banana-pi.org
Show HN: Keep your PyTorch model in VRAM by hot swapping code
github.com
I thought I bought a camera, but no DJI sold me a license to use it [video]
youtube.com
Jagged AGI: o3, Gemini 2.5, and everything after
oneusefulthing.org
Regular Expression Derivatives in Python [pdf] [video]
archive.fosdem.org
Fossil fuels fall below 50% of US electricity for the first month on record
ember-energy.org
How Thai authorities use online doxxing to suppress dissent
citizenlab.ca
Falsify: Hypothesis-Inspired Shrinking for Haskell (2023)
well-typed.com
This is a very interesting approach. I naturally think this relates to LLMs, we could in principle encode a Differential DFA chain as additional inputs for AI models, so they could gain capabilities to run symbolic operations reliably, a Neural CPU.