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runamuck

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  1. American Express launches NFTs in 2026 (americanexpress.com)
    1 points 0
  2. Patagonia Vests Are "Out" with AI Crowd (businessinsider.com)
    1 points 3
  3. A 9 Year Old Kid's Apple II Programs from 40 Years Ago (a2central.com)
    4 points 0
  4. "Energy Based" model vs. frontier AI models for Sudoku (sudoku.logicalintelligence.com)
    1 points 0
  5. President Trump Delivers "Most-Favored-Nation" Pricing for Prescription Drugs (trumprx.gov)
    1 points 1
  6. A Mini-IBM PC Using an Adafruit Fruit Jam (adafruit-playground.com)
    18 points 1
  7. 1 points 0
  8. The Origin of the $80 Popcorn Bucket (wsj.com)
    1 points 0
  9. Polars Boosted My Algorithm's Speed by 25x (john.soban.ski)
    3 points 0
  10. The Lessons of Lucasfilm's Habitat (1990) (web.stanford.edu)
    1 points 1
  11. My Childhood Apple II Computer Programs (1986) (john.soban.ski)
    2 points 0
  12. Greebles made Star Wars (1977) look cool (2005) (web.archive.org)
    6 points 2
  13. Escape the Surveillance Web with Gemini (john.soban.ski)
    19 points 24
  14. Quick and Easy Capacity Planning with Pandas (john.soban.ski)
    2 points 0
  15. I developed a simple checklist to detect Gen AI use (john.soban.ski)
    2 points 0
  16. Why Did Emperor Severus Spare an Engineer (john.soban.ski)
    2 points 1
  17. Sam Altman Wants $7T (astralcodexten.com)
    81 points 78
  18. Jim Flatley Wasn't a Recliner (redfin.com)
    1 points 0
  19. Details of the new Suzuki Omnichord OM-108 (suzuki-music.co.jp)
    151 points 90
  20. 1 points 1
  21. Use Python Pandas to Invest in Sealed Super Mario Bros. 3 (john.soban.ski)
    3 points 0
  22. High Precision Linux Script to Detect Generative AI (twitter.com)
    1 points 1
  23. Beat ChatGPT with active, present voice (E-Prime) (john.soban.ski)
    2 points 2
  24. Amazon launches its Bedrock generative AI service in general availability (techcrunch.com)
    2 points 0
  25. Good “Hello World” Intro to Machine Learning for Curious App Developer?

    My coworker asked me for a "good intro to ML." I would like to point him to a "ready to go" (Collab, Kaggle, Huggingface) notebook with good annotations/ explanations between the code blocks. Can you recommend one?…

    6 points 4