GoKawiilResearcher Cammarata argues AI language models are more interpretable than assumed
AI researcher Chris Cammarata published claims suggesting large language models may be significantly easier to understand, monitor, and control than many researchers currently believe. In an interview with MIT Technology Review's Will Douglas Heaven, Cammarata discussed what he believes the field is misunderstanding and defended his findings against skeptics who remain unconvinced. Separately, the growth of AI agents like Meta's Muse, downloaded 5 million times in its first month, is prompting websites to block such bots as they clash with human-oriented site design.