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Things you should be reading about AI in 2025

olivares.cl · published 1 January 2025

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https://github.com/ofou/ofou.github.io/edit/main/src/blog/posts/learning-in-2025.md
github.com
https://www.goodreads.com/user/year_in_books/2025/6440247
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https://analytics.opensyllabus.org/singleton/fields?id=15
analytics.opensyllabus.org
https://www.latent.space/p/2025-papers
latent.space
https://www.emergentmind.com/papers
emergentmind.com
https://x.com/karpathy/status/1935077692258558443
x.com
https://www.goodreads.com/book/show/50419441-mathematics-for-machine-learning
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https://www.goodreads.com/book/show/55881.Pattern_Recognition_and_Machine_Learning
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https://www.goodreads.com/book/show/198282489-deep-learning
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https://github.com/pytorch/pytorch
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https://github.com/openxla/xla
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https://github.com/jax-ml/jax
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https://aclanthology.org/2020.emnlp-demos.6.pdf
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https://github.com/huggingface
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https://github.com/ml-explore/mlx
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https://github.com/ml-explore/mlx-examples
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https://github.com/apple/axlearn
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https://github.com/tinygrad/tinygrad
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https://tinygrad.org
tinygrad.org
https://github.com/ggerganov/ggml
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https://github.com/ggerganov/llama.cpp
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https://github.com/triton-lang/triton
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https://www.eecs.harvard.edu/~htk/publication/2019-mapl-tillet-kung-cox.pdf
eecs.harvard.edu
https://github.com/NVIDIA/cuda-samples
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https://github.com/srush/GPU-Puzzles
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https://github.com/karpathy/nanoGPT
github.com
https://github.com/karpathy/micrograd
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https://github.com/karpathy/llm.c
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https://github.com/lucidrains/x-transformers
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https://x.com/omarnomad
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https://github.com/ofou/ofou.github.io/blob/main/src/blog/posts/learning-in-2025.md
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https://www.goodreads.com/book/show/57397549-principles-of-neural-science
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https://www.goodreads.com/book/show/217562.Metaphors_of_Mind
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