Yann LeCun: We Won't Reach AGI By Scaling Up LLMS

In this Big Technology Podcast clip, Meta Chief AI Scientist Yann LeCun explains why bigger models and more data alone can’t cross the gap to true intelligence—and what will move the field forward. We dig in on timelines, infrastructure bets, and whether another “AI winter” is looming. What’s inside Why today’s LLMs top out at PhD-like recall, not real invention Meta’s push to serve 1 billion AI users—and the massive compute that takes The enterprise reality check: cost, hallucinations, and proof-of-concept purgatory Lessons from IBM Watson and 1980s expert systems Four missing pieces for human-level AI: common-sense physics, persistent memory, reasoning, and planning Why the breakthrough will be gradual and open, not a secret “AGI button” 👍 Like the clip? Hit subscribe for two tech-news episodes every week. 🔔 Tap the bell so you don’t miss our full conversation with leading AI thinkers. 🎧 Prefer audio? Find Big Technology Podcast on Apple, Spotify, or your favorite app.