/r/all
📄 Tigers are solitary creatures that value personal space, while lions are social and clingy, often encroaching onto the tiger's very space.
📄 Shoutout to JerryrigEverything who built a wheelchair factory and is delivering wheelchairs to people in half the time and 50-80% less than the cost of other wheelchairs with Insurance.
HackerNews
/r/Programming Daily
/r/Technology Daily
📄 Oracle's new CFO got $26M in stock after layoffs. Employee says an 'algorithm' targeted workers with stock options first
📄 Veteran Microsoft engineer says original Task Manager was only 80KB so it could run smoothly on 90s computers — original utility used a smart technique to determine whether it was the only running instance
📄 ‘I feel helpless’: college graduates can’t find entry-level roles in shrinking market amid rise of AI
📄 Linux lays down the law on AI-generated code, says yes to Copilot, no to AI slop, and humans take the fall for mistakes — after months of fierce debate, Torvalds and maintainers come to an agreement
📄 Former Bethesda exec thinks the studio should get more respect for the complex, open worlds it creates: "Go try that s**t in Red Dead Redemption 2" | Despite retiring 3 years ago, Pete Hines remains one of the studio's staunchest defenders.
/r/Funny Daily
![[OC] The sleep deficit is real](https://i.redd.it/vbgad9icesug1.jpeg){kind=link}
/r/chatGPT Daily
/r/Gaming Daily
📄 My son categorized our games today. Apparently the tall pile is a single category called “murder games”
📄 My best friend spent months beating the obscure platformer Dr. Muto (2002) this year. There’s almost no merchandise available online, so I handmade a Gomer plushie for her birthday.
/r/aiArt Daily
/r/Midjourney Daily
Lobste.rs
/r/AskReddit Daily
/r/LocalLLaMA Weekly
GNews
/r/CryptoCurrency Weekly
📄 Trump Family just rugpulled $150 Million from the Dolomite lending platform - using a deposit of their illiquid WLFI from their treasury causing users to be unable to recover their funds they 'staked for yield'
📄 84% of Polymarket traders are losing money. That says a lot about who prediction markets are really built for.
