Stanford economist: remote-work digital chatter became a trove of LLM training data
Citing a Business Insider interview, TechNews reports that Stanford University economist Nick Bloom argues the surge in digital communication after people left offices created large amounts of material for training large language models, turning casual kitchen-table chat into Slack threads that could be fed to LLMs. The article says that as most people shift to hybrid work, impromptu coffee chats and desk-side discussions leave no record, making it a problem for companies to obtain more training data; it also notes that recording office conversations would raise legal and regulatory issues. Bloom separately estimates that remote work raised fertility rates in the United States and Nordic countries by 5%, and lists six ways the WFH era fundamentally changed society.
The article argues that the same digital communication that supported remote work also supplied a large body of text for LLM training, and that a broad return to offices may make such data harder to capture.
史丹佛大學（Stanford University）經濟學家古拉斯·布魯姆（Nick Bloom）估計居家辦公讓美國與北歐生育率增加 5%，並認為疫情後激增的數位溝通為 AI 提供大量訓練資料；Business Insider 撰文指出，重返辦公室讓更多對話不再留下紀錄。
居家辦公（WFH）熱潮或許已經退去，多數人轉為混合辦公，但其影響仍在延續。據 Business Insider（BI）報導，研究遠距工作的史丹佛大學經濟學家 Nick Bloom 在接受該刊記者 Aki Ito 訪問時，列出 WFH 時代從根本改變社會的六種方式。