Language
Links to this note
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Amorphous computing
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Assembly language
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Backward RNN
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C Programming language
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C++
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Cellular automata
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Cellular automata as regular languages
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Coding
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Compilation
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Compression
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ELisp
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Evaluating NLP
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Functional programming
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Gödel's theorem
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Haskell
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Java
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Javascript
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Kolmogorov complexity
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Language
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Language modeling
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Lisp
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Machine learning
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NLP
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Notes on: Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data by Bender, E. M., & Koller, A. (2020)
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Notes on: Drinking from a Firehose: Continual Learning with Web-scale Natural Language by Hu, H., Sener, O., Sha, F., & Koltun, V. (2020)
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Notes on: Evolved Open-Endedness, Not Open-Ended Evolution by Pattee, H. H., & Sayama, H. (2019)
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Notes on: Intelligence without representation by Brooks, R. A. (1991)
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Notes on: Neural Architecture Search with Reinforcement Learning by Zoph, B., & Le, Q. V. (2017)
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Notes on: On the expressive power of programming languages by Felleisen, M. (1991)
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Notes on: Pretrained Transformers as Universal Computation Engines by Lu, K., Grover, A., Abbeel, P., & Mordatch, I. (2021)
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Notes on: The geometry of integration in text classification RNNs by Aitken, K., Ramasesh, V. V., Garg, A., Cao, Y., Sussillo, D., & Maheswaranathan, N. (2020)
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Notes on: Thinking Like Transformers by Weiss, G., Goldberg, Y., & Yahav, E. (2021)
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Notes on: Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention by Katharopoulos, A., Vyas, A., Pappas, N., & Fleuret, F. (2020)
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Org-mode
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Program synthesis
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Programming languages
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Python
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Ruby
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Rust
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Scala
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Self-supervised learning
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Surprisingly Turing-Complete
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Talk: Alife 2020 keynote Luis Zaman - New Frontiers in Alife: What was old is new again
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Turing-completeness
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Unker non-linear writing system
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Why programming is a good medium for expressing poorly understood and sloppily-formulated ideas
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Word vectors
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