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”
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