The moment we stopped understanding AI [AlexNet]

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References
AlexNet Paper
https://proceedings.neurips.cc/paper_files/paper/2012/file/c399862d3b9d6b76c8436e924a68c45b-Paper.pdf

Original Activation Atlas Article- explore here - Great interactive Atlas! https://distill.pub/2019/activation-atlas/
Carter, et al., "Activation Atlas", Distill, 2019.

Feature Visualization Article: https://distill.pub/2017/feature-visualization/
`Olah, et al., "Feature Visualization", Distill, 2017.`

Great LLM Explainability work: https://transformer-circuits.pub/2024/scaling-monosemanticity/index.html
Templeton, et al., "Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet", Transformer Circuits Thread, 2024.

“Deep Visualization Toolbox" by Jason Yosinski video inspired many visuals:
https://www.youtube.com/watch?v=AgkfIQ4IGaM

Great LLM/GPT Intro paper
https://arxiv.org/pdf/2304.10557

3B1Bs GPT Videos are excellent, as always:
https://www.youtube.com/watch?v=eMlx5fFNoYc
https://www.youtube.com/watch?v=wjZofJX0v4M

Andrej Kerpathy's walkthrough is amazing:
https://www.youtube.com/watch?v=kCc8FmEb1nY

Goodfellow’s Deep Learning Book
https://www.deeplearningbook.org/

OpenAI’s 10,000 V100 GPU cluster (1+ exaflop) https://news.microsoft.com/source/features/innovation/openai-azure-supercomputer/

GPT-3 size, etc: Language Models are Few-Shot Learners, Brown et al, 2020.

Unique token count for ChatGPT: https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken

GPT-4 training size etc, speculative:
https://patmcguinness.substack.com/p/gpt-4-details-revealed
https://www.semianalysis.com/p/gpt-4-architecture-infrastructure

Historical Neural Network Videos
https://www.youtube.com/watch?v=FwFduRA_L6Q
https://www.youtube.com/watch?v=cNxadbrN_aI
Category
Artificial Intelligence

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