all AI news
To avoid AI-driven "knowledge collapse", humans must actively preserve specialized expertise
April 15, 2024, 3:21 p.m. | Maximilian Schreiner
THE DECODER the-decoder.com
Large language models can make information more accessible - but AI researcher Andrew J. Peterson warns of a negative long-term effect: a “knowledge collapse”.
The article To avoid AI-driven "knowledge collapse", humans must actively preserve specialized expertise appeared first on THE DECODER.
ai and science ai and society andrew article artificial intelligence decoder expertise generative-ai humans information knowledge language language models large language large language models long-term negative researcher the decoder
More from the-decoder.com / THE DECODER
Jobs in AI, ML, Big Data
Software Engineer for AI Training Data (School Specific)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Python)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Tier 2)
@ G2i Inc | Remote
Data Engineer
@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US