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yegortk

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  1. From a For-Loop to Transformers (python2llms.org)
    1 points 0
  2. Language modeling with high school math background (python2llms.org)
    1 points 0
  3. Enforced Amnesia as Way to Mitigate the Risk of Silent Suffering in Conscious AI (proceedings.mlr.press)
    3 points 2
  4. Quantile regression as a sanity check on asset valuation (yegortkachenko.com)
    1 points 0
  5. Everyone Can Code an LLM (python2llms.org)
    2 points 0
  6. AI Engineering for Everyone (python2llms.org)
    2 points 0
  7. LLMs Rigorously, from Scratch (python2llms.org)
    2 points 0
  8. Show HN: Free textbook – Python, Deep Learning and LLMs from scratch [pdf] (python2llms.org)
    1 points 0
  9. Python 2 LLMs: Self-Study (python2llms.org)
    1 points 0
  10. How to create a miniature mind inside a chunk of silicon using code (python2llms.org)
    3 points 0
  11. Python, Deep Learning, and LLMs: A Crash Course for Complete Beginners (python2llms.org)
    2 points 0
  12. 13 points 1
  13. Enforced Amnesia as Way to Mitigate Risk of Silent Suffering in Conscious AI (openreview.net)
    2 points 1
  14. Controlling sentient AI via memory manipulation: a hypothetical (yegortkachenko.com)
    2 points 0
  15. Mitigating the risk of silent suffering in conscious AI via enforced amnesia (yegortkachenko.com)
    1 points 0
  16. Enforced Amnesia to Mitigate the Risk of Silent Suffering in Conscious AI (yegortkachenko.com)
    2 points 1
  17. There is no No Evidence (lesswrong.com)
    5 points 2
  18. Physiognomy (face reading) app demo (firstimpression.ai)
    1 points 0
  19. Megastudy reveals 82 personal attributes predictable through facial analysis (nature.com)
    3 points 1
  20. Signals in Facial Images (nature.com)
    2 points 1
  21. A megastudy on the predictability of personal information from facial images (nature.com)
    1 points 0
  22. A megastudy on the predictability of personal information from facial images (nature.com)
    6 points 2
  23. Sample Size Determination with Julia (yegortkachenko.com)
    2 points 0