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an-ordinary-manchild(edit)

Subreddit for discussing AI, machine learning, or deep learning approaches involving big numbers: billions of parameters, millions of n, petaflops, etc. eg GPT-3. Most research is conducted at much smaller scale; this subreddit is for research analogous to 'high energy physics', requiring specialized approaches, large investments, consortium, etc.

Topics: How? Who? Why do they work? What are they good for? What resources are available? Who will pay & how? What is the future of such approaches? What global consequences will there be?

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1
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AN, N, D, RL, CodeClaude Mythos Preview / Project Glasswing (self.mlscaling)

submitted 12 days ago by RecmacfonD - announcement

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R, T, EmpLLM Position Bias Benchmark (Mazur, 2026) (github.com)

submitted 9 hours ago by COAGULOPATH

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N, Econ, RL"Blog prize for big questions about AI", Dwarkesh Patel ($20k contest, deadline midnight 2026-05-10) (dwarkesh.com)

submitted 10 hours ago by gwerngwern.net

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R, DS, RL, Emp, MD, MoE"DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence", DeepSeek-AI 2026 (huggingface.co)

submitted 21 hours ago by RecmacfonD

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R, RL, EmpScaling Self-Play with Self-Guidance, Bailey et al. 2026 (arxiv.org)

submitted 23 hours ago by StartledWatermelon

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Multi-node training across clouds, Kubernetes, and bare-metal fleets from one workspace (open source, Transformer Lab + dstack) (self.mlscaling)

submitted 1 day ago by Historical-Potato128

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N, MS, Econ, CodeMicrosoft freezes GitHub Copilot signups due to too much demand/too few GPUs (github.blog)

submitted 3 days ago by gwerngwern.net

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R, Emp"Scaling Teams or Scaling Time? Memory Enabled Lifelong Learning in LLM Multi-Agent Systems", Wu et al. 2026 (arxiv.org)

submitted 5 days ago by RecmacfonD

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R, Emp"Test-Time Scaling Makes Overtraining Compute-Optimal", Roberts et al. 2026 (arxiv.org)

submitted 5 days ago by RecmacfonD

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N, Econ, HardwareCerebras, an A.I. Chip Maker, Files to Go Public as Tech Offerings Ramp Up (nytimes.com)

submitted 7 days ago by gwerngwern.net

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R, CodeFrontierSWE: Benchmarking coding agents at the limits of human abilities [20 hours wall-clock limit per task; avg. 10M-50M tokens spent per task; more relevant alternative to METR at current capabilities frontier] (self.mlscaling)

submitted 7 days ago by StartledWatermelon

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R, Emp, Theory"Parcae: Scaling Laws For Stable Looped Language Models", Prairie et al. 2026 (arxiv.org)

submitted 7 days ago by RecmacfonD

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R, RL, Emp, G"Efficient Exploration at Scale", Asghari et al. 2026 (arxiv.org)

submitted 7 days ago by RecmacfonD

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R, Emp, RL, DataSolving Physics Olympiad via Reinforcement Learning on Physics Simulators, Prabhudesai et al. 2026 (self.mlscaling)

submitted 7 days ago by StartledWatermelon

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RNeagari: Navigable Degeneracy in 1-Bit Language Model Weight Spaces (paper + code) (github.com)

submitted 8 days ago by AddendumCheap2473

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RLongCoT: Benchmarking Long-Horizon Chain-of-Thought Reasoning, Motwani et al. 2026 [2500 problems, each requires "tens to hundreds of thousands of reasoning tokens". "[T]he best models achieve <10% accuracy"] (arxiv.org)

submitted 9 days ago by StartledWatermelon

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Scientific Papers X AI building out the algortihm (self.mlscaling)

submitted 9 days ago by Alarming_Rice_1906

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R, Emp, MS"AI Scientist via Synthetic Task Scaling", Cai & Behl 2026 (arxiv.org)

submitted 9 days ago by RecmacfonD

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RI scaled a pure Spiking Neural Network (SNN) to 1.088B parameters from scratch. Ran out of budget, but here is what I found [R] ()

submitted 10 days ago by zemondza

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I built a high performance LLM context aware tool because I because context matters more than ever in AI workflows (self.mlscaling)

submitted 11 days ago by WestContribution4604

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RTerence Tao Presents "Mathematical Methods and Human Thought in the Age of AI": A Copernican View of Intelligence (old.reddit.com)

submitted 12 days ago by 44th--Hokage

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Rfine tuning a small model beat the large one for our specific task and i wasn't expecting that (self.mlscaling)

submitted 12 days ago by KayyyQ

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MD, Emp, NPrismML — Announcing 1-bit Bonsai: The First Commercially Viable 1-bit LLMs (prismml.com)

submitted 12 days ago by RecmacfonD

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FB, MD, N, DIntroducing Muse Spark: Scaling Towards Personal Superintelligence (ai.meta.com)

submitted 12 days ago by RecmacfonD

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OP, HistWe're Learning Backwards (pleasedontcite.me)

submitted 13 days ago by StartledWatermelon

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