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On AGI: S-Curves and the Bitter Lesson (Pt 3/6)

diwank.space · published 1 June 2025

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https://www.cs.utexas.edu/~eunsol/courses/data/bitter_lesson.pdf

cs.utexas.edu

https://arxiv.org/abs/2001.08361

arxiv.org

https://web.mit.edu/mamd/www/tech_strat/courseMaterial/topics/topic3/readings/Exploring_the_Limits_of_the_Technology_S-Curve/Exploring_the_Limits_of_the_Technology_S-Curve.pdf/Exploring_the_Limits_of_the_Technology_S-Curve.pdf

web.mit.edu

https://en.wikipedia.org/wiki/Landauer's_principle

en.wikipedia.org

https://www.christenseninstitute.org/theory/disruptive-innovation/

christenseninstitute.org

https://cap.csail.mit.edu/death-moores-law-what-it-means-and-what-might-fill-gap-going-forward

cap.csail.mit.edu

https://arxiv.org/abs/2203.15556

arxiv.org

https://karpathy.ai/zero-to-hero.html

karpathy.ai

GPT-4 Architecture, Infrastructure, Training Dataset, Costs, Vision, MoE Read at the source ↗

semianalysis.com

https://seifeur.com/how-many-gpus-are-needed-to-train-gpt-4/

seifeur.com

https://pytorch.org/blog/flashattention-3/

pytorch.org

https://www.cs.toronto.edu/~pekhimenko/courses/csc2224-f19/docs/GPU.pdf

cs.toronto.edu

https://ralphmerkle.com/brainLimits.html

ralphmerkle.com