Has Google solved two of AI's oldest problems?
generativehistory.substack.com
A race condition in Aurora RDS
hightouch.com
HipKittens: Fast and furious AMD kernels
hazyresearch.stanford.edu
Structured Outputs on the Claude Developer Platform (API)
claude.com
All Praise to the Lunch Ladies
bittersoutherner.com
Manganese is Lyme disease's double-edge sword
news.northwestern.edu
Show HN: Tiny Diffusion – A character-level text diffusion model from scratch
github.com
The disguised return of EU Chat Control
reclaimthenet.org
Awk Technical Notes (2023)
maximullaris.com
Mentra (YC W25) Is Hiring: Head of Growth to Make Smart Glasses Mainstream
ycombinator.com
Xqerl – Erlang XQuery 3.1 Processor
zadean.github.io
Minisforum Stuffs Entire Arm Homelab in the MS-R1
jeffgeerling.com
Bitchat for Gaza – messaging without internet
updates.techforpalestine.org
SSL Configuration Generator
ssl-config.mozilla.org
Houston, We Have a Problem: Anthropic Rides an Artificial Wave – BIML
berryvilleiml.com
An Italian Company Builds the First Known Propellantless Space-Propulsion System
satcom.digital
Winamp clone in Swift for macOS
github.com
Incus-OS: Immutable Linux OS to run Incus as a hypervisor
linuxcontainers.org
Show HN: Epstein Files Organized and Searchable
searchepsteinfiles.com
Honda: 2 years of ml vs 1 month of prompting - heres what we learned
levs.fyi
Magit manuals are available online again
github.com
This looks cool, Im quite uninformed about xml databases and xquery though, and I had foolishly assumed I had quite a broad exposure to tech stacks.
Whats this stuff used for?