Muse Spark Open, I know why Mathematicians weep, and Tesla Roadster
First things first
Some wild tech stuff is happening. AI keeps getting smarter, from math proof breakthroughs to hardware reverse engineering, and even cool new cars and desktops.
Meanwhile, security and ethics are in focus. Malware scams, spyware risks, and calls for AI bans show we’re all trying to keep up with this fast-moving digital world.
The top 6
I know why Mathematicians weep
Tesla Roadster
Neural Networks Are Already Clean
Wayland desktop for Linux with skeuomorphic design
What I Self-Host
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Quote of the day
Everyone thinks of changing the world, but no one thinks of changing himself.
Leo Tolstoy
Also big today
Jev Meets the Trolley Problem
Steam Client Is Now Faster Than Epic's New Vibe Coded Launcher
Someone on Torrent Sites Kept Fucking with My Sonarr
Israeli firm's digital ads enabling installation of 'zero-click' spyware
New Withings Users Must Pay $99/Year for Apple Health Syncing
Libreboot 26.10 "Ominous Olive" released with UEFI, Chromebook support
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Share hn.todayOne for the road
What do you call a magician who loses their magic?
Ian.
Worth a look
Simons Foundation Launches $15M Effort to Help Mathematicians Navigate AI Era
Why We're Banning AI
Business accounts will consent to Meta scraping their websites Starting Oct. 30
Krea 3 – Frontier Image Model 4× faster than Nano Banana Pro
Celebrating 70 Years of Fortran
Fortran celebrates its 70th anniversary on October 15, recognizing its vital role in scientific computing for fields like climate and materials science. An event at the Science and Industry Museum in Manchester will feature retrospectives, discussions, and demonstrations to honor its legacy and future.
Using AI to reverse engineer hardware
Song of the day
Deep cuts
I designed a nose guard for my dog and gave it away. Now 500 dogs wear one
Why are we even doing all this?
Terence Tao discusses the allure of AI and large language models in advancing mathematics and science, comparing it to Borges's imagined Library of Babel containing all possible knowledge. He highlights how AI's potential to generate vast amounts of research could revolutionize scientific discovery, despite the challenges of sorting through misinformation.