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  1. The Bitter Lesson (finbarr.ca)
    2 points 0
  2. How to hire ML engineers/researchers (artfintel.com)
    1 points 0
  3. OpenAI departures: Why can’t former employees talk? (vox.com)
    1254 points 961
  4. Musings on Typicality (sander.ai)
    2 points 0
  5. Large language models aren't trained enough (finbarr.ca)
    3 points 0
  6. Yes, you should understand backprop (karpathy.medium.com)
    3 points 0
  7. Are We in an AI Overhang? (lesswrong.com)
    1 points 3
  8. Searching for Outliers (benkuhn.net)
    23 points 3
  9. Submanifold Spare Convolutional Networks (arxiv.org)
    2 points 1
  10. DeepMind opens first international office in Edmonton (google.ca)
    1 points 0
  11. Notes on “Random Search for Hyper-Parameter Optimisation” (finbarr.ca)
    2 points 0
  12. Notes on “Training ImageNet in 1 Hour” (finbarr.ca)
    3 points 0
  13. Useful bash oneliners (finbarr.ca)
    3 points 2
  14. Ask HN: How do you set prices?

    I'm helping a friend's startup figure out pricing for their products. What are some tools/services that you use to do this? Are there any pricing analytics platforms that you'd recommend? I can't find anything that…

    584 points 175
  15. Unit tests make you write down your assumptions (finbarr.ca)
    2 points 0
  16. How we designed our machine learning application (finbarr.ca)
    2 points 1
  17. Google: Our assistant will trigger the next era of AI (backchannel.com)
    3 points 3
  18. Inside Palantir’s War with the U.S. Army (bloomberg.com)
    6 points 1
  19. Banned by Tesla (medium.com)
    8 points 0
  20. Why I do all of my recruiting through LinkedIn (boss.blogs.nytimes.com)
    2 points 0
  21. Kimono – Turn websites into structured APIs (kimonolabs.com)
    2 points 0
  22. The Rise and Fall of BlackBerry (businessweek.com)
    2 points 0
  23. "My Ph.D. advisor rewrote himself in bash." (matt.might.net)
    7 points 0
  24. King of my castle? Yeah right. (mobile.nytimes.com)
    3 points 0
  25. NYU MS in Data Science (cds.nyu.edu)
    1 points 0