Editor's Synopsis
Richard Feldman shares his reasoning for avoiding AI-generated summaries. He explains that while he finds AI tools useful for producing draft outputs that can be verified and revised through other non-hallucinating techniques, summaries present a unique problem: there's no way to verify a summary's accuracy without reading the entire original text, which defeats the purpose of the summary in the first place. The observation highlights a fundamental limitation of AI summarization — unlike other AI-assisted tasks where outputs can be independently checked, summary verification inherently requires the same effort the summary was meant to save.