✳flâneur — a map of the web's best reading
For more reliable AI, academics should edit Wikipedia
nature.com · 387 words · saved by 1 readers
Letter to the Editor
Email Bluesky Facebook LinkedIn Reddit Whatsapp X Access through your institution Buy or subscribe Wikipedia, the “encyclopedia anyone can edit”, is a fundamental training and reference data set for large language models (LLMs). As LLMs grow in popularity, Wikipedia’s content — both high and low quality — is likely to have more impact. Although the long-term effects of the technology remain uncertain, Wikipedia’s importance and reach has clearly grown since the rise of LLMs. Access options Access through your institution Access Nature and 54 other Nature Portfolio journals Get Nature+, our bes
Explore this link on the map →related reading
- Wikipedia:Signs of AI writing - Wikipediaen.wikipedia.org
- The machines are fine. I'm worried about us.ergosphere.blog
- Andrej Karpathy on X: "LLM Knowledge Bases Something I'm finding very useful recently: using LLMs to build personal knowledge bases for various topics of research interest. In this way, a large fraction of my recent token throughput is going less into manipulating code, and more into manipulating" / Xx.com
- Opening a conversation on responsible environmental data science in the age of large language models | Environmental Data Science | Cambridge Corecambridge.org
- Writing for LLMs So They Listen · Gwern.netgwern.net
- GenAI Handbookgenai-handbook.github.io
- Meet the Humans Building AI Scientists - Asimov Pressasimov.press
- 2025: The year in LLMssimonwillison.net
- Meta Trained an AI on 48M Science Papers. It Was Shut Down After 2 Days - CNETcnet.com
- Find the stable and pull out the bolt – Natalie B. Hoggnataliebhogg.com
- UC Berkeley Library Proxy Loginwww-economist-com.libproxy.berkeley.edu
- The AI revolution is running out of data. What can researchers do?nature.com