r/mlscaling

: ""The market plausibly expects Ai software to create trillions of dollars of value by 2027", Benjamin Todd"

: "Elon Musk reportedly cancels mass-market car model to free up Tesla resources for giant datacenter for Scaling up self-driving cars"

: ""The Longest Training Run: Training runs of large machine learning systems are likely to last less than 14-15 months. This is because longer runs will be outcompeted by runs that start later" (wait equation)"

: ""Large Language Models are getting bigger and better: Can they keep improving forever?", The Economist"

: "Sam Altman on Lex Fridman's podcast: "We will release an amazing new Model this year. I don’t know what we’ll call it." Expects the delta between (GPT) 5 and 4 will be the same as between 4 and 3."

: ""AI progress is about to speed up", Ege Erdil (the Compute drought is ending as LLMs finally scale to 100k+ H100 training runs)"

: "NSA research director Gilbert Herrera: the NSA can't create SOTA Llms because it doesn't have the data or budget"

: ""Microsoft and Openai Plot $100 Billion Stargate AI Supercomputer", The Information"

: "LIMR: Less is More for RL Scaling, Li et al. 2025 ["[P]recise sample selection, rather than data scale, may be the key to unlocking enhanced Reasoning capabilities"]"

: ""A Benchmark for Learning to Translate a New Language from One Grammar Book", Tanzer et al 2023 (efficiency of learning unknown Language from textbook scales drastically with model size)"