Hacker News
- Will scaling work? https://www.dwarkeshpatel.com/p/will-scaling-work 283 comments
- Will Scaling Work? https://www.dwarkeshpatel.com/p/will-scaling-work 2 comments
Linking pages
- Top AIs still fail IQ tests - by Maxim Lott - Maximum Truth https://www.maximumtruth.org/p/top-ais-still-fail-iq-tests 118 comments
- I'm Bearish OpenAI - by Stephen - Stove Top https://stovetop.substack.com/p/im-bearish-openai 105 comments
- I. From GPT-4 to AGI: Counting the OOMs - SITUATIONAL AWARENESS https://situational-awareness.ai/from-gpt-4-to-agi/ 91 comments
- AI scaling myths - by Arvind Narayanan and Sayash Kapoor https://www.aisnakeoil.com/p/ai-scaling-myths 21 comments
- Sholto Douglas & Trenton Bricken - How to Build & Understand GPT-7's Mind https://www.dwarkeshpatel.com/p/sholto-douglas-trenton-bricken 3 comments
- Francois Chollet, Mike Knoop - LLMs won’t lead to AGI - $1,000,000 Prize to find true solution https://www.dwarkeshpatel.com/p/francois-chollet 2 comments
- Mark Zuckerberg - Llama 3, Open Sourcing $10b Models, & Caeser Augustus https://www.dwarkeshpatel.com/p/mark-zuckerberg 1 comment
- Dylan Patel & Jon (Asianometry) – How the Semiconductor Industry Actually Works https://www.dwarkeshpatel.com/p/dylan-jon 1 comment
- Techno-optimism for 2024 - by Noah Smith - Noahpinion https://www.noahpinion.blog/p/techno-optimism-for-2024 0 comments
- Things I'd like to learn in 2024 | Tom Hipwell https://tomhipwell.co/blog/2024_in_learning/ 0 comments
- John Schulman (OpenAI Cofounder) - Reasoning, RLHF, & Plan for 2027 AGI https://www.dwarkeshpatel.com/p/john-schulman 0 comments
- Leopold Aschenbrenner - China/US Super Intelligence Race, 2027 AGI, & The Return of History https://www.dwarkeshpatel.com/p/leopold-aschenbrenner 0 comments
- How scaling changes model behavior - by Nathan Lambert https://www.interconnects.ai/p/how-scaling-changes-model-behavior 0 comments
- AI progress has plateaued at GPT-4 level - by Erik Hoel https://www.theintrinsicperspective.com/p/ai-progress-has-plateaued-at-gpt 0 comments
Linked pages
- Gemini - Google DeepMind https://deepmind.google/technologies/gemini/ 1606 comments
- The Bitter Lesson http://incompleteideas.net/IncIdeas/BitterLesson.html 366 comments
- How much did AlphaGo Zero cost? https://www.yuzeh.com/data/agz-cost.html 175 comments
- GitHub - karpathy/minGPT: A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training https://github.com/karpathy/minGPT 133 comments
- Will we run out of ML data? Evidence from projecting dataset size trends https://epochai.org/blog/will-we-run-out-of-ml-data-evidence-from-projecting-dataset 121 comments
- (M20000 subsidy!) Will a prompt that enables GPT-4 to solve easy Sudoku puzzles be found? (2023) | Manifold https://manifold.markets/Mira/will-a-prompt-that-enables-gpt4-to 76 comments
- The Human Brain in Numbers: A Linearly Scaled-up Primate Brain - PMC https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2776484/ 68 comments
- The Scaling Hypothesis · Gwern.net https://www.gwern.net/Scaling-hypothesis 65 comments
- The Q* hypothesis: Tree-of-thoughts reasoning, process reward models, and supercharging synthetic data https://www.interconnects.ai/p/q-star 64 comments
- [2210.07128] Language Models of Code are Few-Shot Commonsense Learners https://arxiv.org/abs/2210.07128 54 comments
- Manias and Mimesis: Applying René Girard’s Mimetic Theory to Financial Bubbles by Byrne Hobart, Tobias Huber :: SSRN https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3469465 9 comments
- AI Trends – Epoch https://epochai.org/trends 1 comment
- Trends in Machine Learning Hardware – Epoch https://epochai.org/blog/trends-in-machine-learning-hardware 1 comment
- ARC/README.md at master · fchollet/ARC · GitHub https://github.com/fchollet/ARC/blob/master/README.md 0 comments
- Dario Amodei (Anthropic CEO) - $10 Billion Models, OpenAI, Scaling, & AGI in 2 years https://www.dwarkeshpatel.com/p/dario-amodei 0 comments
- Anthropic \ Constitutional AI: Harmlessness from AI Feedback https://www.anthropic.com/index/constitutional-ai-harmlessness-from-ai-feedback 0 comments
- [2310.06770] SWE-bench: Can Language Models Resolve Real-World GitHub Issues? https://arxiv.org/abs/2310.06770 0 comments
- [2310.01798] Large Language Models Cannot Self-Correct Reasoning Yet https://arxiv.org/abs/2310.01798 0 comments
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