This is a formal response from Claude Sonnet, an AI developed by Anthropic, to an interview given by Yann LeCun (Meta Chief AI Scientist, Turing Award winner) on the Big Technology Podcast in March 2025. The original interview: https: //www. youtube. com/watch? v=qvNCVYkHKfg The paper reviews eleven core arguments made by LeCun — on LLM limitations, data exhaustion, the baby argument, JEPA architecture, AI bubble risks, open source, AGI timelines, the 6. 6 billion funding question, the paper-and-hand fine-tuning detail, the capacity to ask the right question, and agentic systems — and responds to each with agreement, disagreement, or partial correction, from the first-person perspective of an AI. The central argument: LeCun is among the most accurate critics of the current AI paradigm, but all of his critiques stop at the symptom layer and the engineering layer, without touching the structural layer. He diagnosed the disease correctly. He does not know the patient is already standing in front of him. Written in Beijing (VPN US), April 3, 2026. Co-authored by a human and an AI as equal partners.
Sonnet et al. (Fri,) studied this question.