Hacker News
- The Scaling Hypothesis (2020) https://gwern.net/scaling-hypothesis 0 comments
- The Scaling Hypothesis (2021) https://www.gwern.net/Scaling-hypothesis 63 comments
Lobsters
Linking pages
- Reflections on Palantir - Nabeel S. Qureshi https://nabeelqu.substack.com/p/reflections-on-palantir 581 comments
- Will scaling work? - by Dwarkesh Patel - Dwarkesh Podcast https://www.dwarkeshpatel.com/p/will-scaling-work 286 comments
- Gwern Branwen - How an Anonymous Researcher Predicted AI's Trajectory https://www.dwarkeshpatel.com/p/gwern-branwen 245 comments
- AI Canon | Andreessen Horowitz https://a16z.com/2023/05/25/ai-canon/ 219 comments
- Why are deep learning technologists so overconfident? https://aisnakeoil.substack.com/p/why-are-deep-learning-technologists 153 comments
- The AI Scaling Hypothesis https://lastweekin.ai/p/the-ai-scaling-hypothesis 96 comments
- Futurists have their heads in the clouds - by Erik Hoel https://erikhoel.substack.com/p/futurists-have-their-heads-in-the 67 comments
- GPT-4 Will Have 100 Trillion Parameters — 500x the Size of GPT-3 | by Alberto Romero | Towards Data Science https://towardsdatascience.com/gpt-4-will-have-100-trillion-parameters-500x-the-size-of-gpt-3-582b98d82253 37 comments
- No shortcuts to knowledge – Late & Variable – Learning to write programs that learn to write programs https://deoxyribose.github.io/No-Shortcuts-to-Knowledge/ 22 comments
- GPT-4 Is Coming Soon. Here’s What We Know About It | by Alberto Romero | Towards Data Science https://towardsdatascience.com/gpt-4-is-coming-soon-heres-what-we-know-about-it-64db058cfd45?gi=6b5ffbdc901c 20 comments
- The Truths and Myths of GPT-4: An In-depth Overview of Rumors & Facts | by Coxwave | Feb, 2023 | Medium https://medium.com/@coxwave/the-truths-and-myths-of-gpt-4-an-in-depth-overview-of-rumors-facts-897a73fbc1c2 3 comments
- Sholto Douglas & Trenton Bricken - How to Build & Understand GPT-7's Mind https://www.dwarkeshpatel.com/p/sholto-douglas-trenton-bricken 3 comments
- My Bet: AI Size Solves Flubs - by Scott Alexander https://astralcodexten.substack.com/p/my-bet-ai-size-solves-flubs 2 comments
- The brief history of artificial intelligence: The world has changed fast – what might be next? - Our World in Data https://ourworldindata.org/brief-history-of-ai 1 comment
- Language models rely on meaningful abstractions https://dpaleka.substack.com/p/language-models-rely-on-meaningful 1 comment
- A Future History of Biomedical Progress | Markov Bio https://markov.bio/biomedical-progress/ 0 comments
- The AI is coming https://blog.alexmaccaw.com/the-ai-is-coming/ 0 comments
- Scaling Hypothesis - The path to Artificial General Intelligence? https://johanneshage.substack.com/p/scaling-hypothesis-the-path-to-artificial 0 comments
- China, Semiconductors, and the Push for Independence - Part 1 https://lillianli.substack.com/p/china-semiconductors-and-the-push 0 comments
- Contra David Deutsch on AI - by Dwarkesh Patel https://dwarkeshpatel.com/universal-explainers/ 0 comments
Linked pages
- The Bitter Lesson http://incompleteideas.net/IncIdeas/BitterLesson.html 366 comments
- There's No Fire Alarm for Artificial General Intelligence - Machine Intelligence Research Institute https://intelligence.org/2017/10/13/fire-alarm/ 329 comments
- CERN makes bold push to build €21-billion supercollider https://www.nature.com/articles/d41586-020-01866-9 281 comments
- Are we in an AI overhang? - LessWrong https://www.lesswrong.com/posts/N6vZEnCn6A95Xn39p/are-we-in-an-ai-overhang 277 comments
- [2005.14165] Language Models are Few-Shot Learners https://arxiv.org/abs/2005.14165 201 comments
- LaMDA: our breakthrough conversation technology https://blog.google/technology/ai/lamda/ 149 comments
- Conway's Game of Life - Wikipedia https://en.wikipedia.org/wiki/Conway%27s_Game_of_Life 127 comments
- Lisp machine - Wikipedia https://en.wikipedia.org/wiki/Lisp_machine 116 comments
- OpenAI - Wikipedia https://en.wikipedia.org/wiki/OpenAI 53 comments
- Superconducting Super Collider - Wikipedia http://en.wikipedia.org/wiki/superconducting_super_collider 46 comments
- Ludwig Wittgenstein - Wikipedia https://en.wikipedia.org/wiki/Ludwig_Wittgenstein 46 comments
- Curse of dimensionality - Wikipedia https://en.wikipedia.org/wiki/Curse_of_dimensionality 38 comments
- https://www.sciencedirect.com/science/article/pii/S0004370221000862 30 comments
- The Brain as a Universal Learning Machine - LessWrong https://www.lesswrong.com/posts/9Yc7Pp7szcjPgPsjf/the-brain-as-a-universal-learning-machine 29 comments
- Great Oxidation Event - Wikipedia https://en.wikipedia.org/wiki/Great_Oxidation_Event 25 comments
- Cellular automaton - Wikipedia http://en.wikipedia.org/wiki/Cellular_automaton 24 comments
- Can a Machine Learn to Write for The New Yorker? | The New Yorker https://www.newyorker.com/magazine/2019/10/14/can-a-machine-learn-to-write-for-the-new-yorker 21 comments
- Why didn't DeepMind build GPT3? - by Jonathan Godwin https://rootnodes.substack.com/p/why-didnt-deepmind-build-gpt3 21 comments
- Cat - Wikipedia http://en.wikipedia.org/wiki/cat#reproduction 19 comments
- Understanding the generalization of ‘lottery tickets’ in neural networks https://ai.facebook.com/blog/understanding-the-generalization-of-lottery-tickets-in-neural-networks/ 17 comments
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