January 20, 2026
Sutskever 30
AlexNet
Krizhevsky, Sutskever, and Hinton's 2012 ImageNet victory proved deep learning could outperform hand-engineered computer vision. Paper #7.
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Notes on building Chat Labs 1AI. Getting 250+ AI models to work together. What breaks, what works, what I learned.
Krizhevsky, Sutskever, and Hinton's 2012 ImageNet victory proved deep learning could outperform hand-engineered computer vision. Paper #7.
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Vinyals, Fortunato, and Jaitly repurposed attention to point at input positions instead of blending hidden states. Paper #6.
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Hinton and van Camp showed that penalizing weight complexity leads to better generalization. Paper #5.
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Zaremba, Sutskever, and Vinyals figured out how to apply dropout to LSTMs without breaking them. Paper #4.
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Christopher Olah's 2015 post explained LSTM gates with clarity that textbooks lacked. Paper #3.
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Karpathy's famous 2015 post showed RNNs could generate Shakespeare and Linux code by predicting one character at a time. Paper #2.
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Scott Aaronson's First Law of Complexodynamics explains why complexity rises, peaks, then falls. Paper #1 from Sutskever's 30.
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Got tired of copy-pasting AI responses into Slack. Built shareable links instead. One good prompt becomes team knowledge.
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Scraped 10,000 custom instructions to see patterns. Set your style once — every model remembers.
Read moreI write when I ship something or figure something out. Maybe twice a month. No tracking, no growth hacks.
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