Paper link: arxiv.org/abs/2605.16430
Who's Who of AI
Sophie Hao
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Researcher with public evidence across NLP & language, AI research, Responsible AI.
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Assistant professor of Linguistics and Data Science at Boston University. NLP, computational linguistics, interpretability, social bias and fairness. she/her. https://www.notaphonologist.com/
What they're sharing
A Theory of Training Profit-Optimal LLMs arxiv.org
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Recent commentary
Re: OpenAI/Anthropic IPO news, a preprint with @lambdaviking.bsky.social Scaling up training reliably improves LLMs, but it also increases training and inference costs, leading to massive capital expenditure by AI firms. How can we understand what level of LLM scaling is justified economically? 🧵⬇️
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