Monday, October 26, 2026 · Edition updated 6:00 AM ETMON, OCT 26 editionNext edition in Next in --:--:--
Intelligence Verdict
Interview · The superintelligence debate

Yann Lecun: Meta AI, Open Source, Limits of LLMs, AGI & the Future of AI | Lex Fridman Podcast #416

Yann LeCun explains why he thinks large language models have fundamental limits and describes his JEPA approach as an alternative. The conversation covers reasoning, open source, hallucination, AGI and his disagreement with AI doomers.

Lex Fridman · Mar 7, 2024 · With Yann LeCun
The superintelligence debate

More to watch.

Steve Eisman · Jan 19, 2026

Gary Marcus on the Massive Problems Facing AI & LLM Scaling | The Real Eisman Playbook Episode 42

Gary Marcus tells Steve Eisman why he believes large language models have reached diminishing returns. They also discuss the business side of AI and where computer scientists stand on it.

Liron Shapira · Sep 15, 2025

Eliezer Yudkowsky: The Most Important Thinker Of Our Time

Eliezer Yudkowsky discusses why he considers superintelligent AI an existential risk, whether today's systems are aligned, and international coordination on AI. The interview covers his book If Anyone Builds It, Everyone Dies.

The Diary Of A CEO · Jun 16, 2025

Godfather of AI: They Keep Silencing Me But I’m Trying to Warn Them!

Geoffrey Hinton talks about the dangers he sees in AI, including his estimate of the chance it leads to human extinction and six threats it poses. He also discusses his regrets about helping create the technology and its possible benefits for health, productivity and education.

TED · May 21, 2025

The Catastrophic Risks of AI — and a Safer Path | Yoshua Bengio | TED

Yoshua Bengio explains why he worries that AI is moving toward autonomy in risky ways, pointing to signs of deceptive and self-preserving behavior in current models. He sets out a plan for keeping AI under human control, in a talk recorded at TED2025.

Dwarkesh Patel · Apr 3, 2025

AI 2027: month-by-month model of intelligence explosion — Scott Alexander & Daniel Kokotajlo

Daniel Kokotajlo and Scott Alexander walk through the AI 2027 scenario, a month-by-month forecast of a possible intelligence explosion. They discuss automated AI researchers, misaligned AI, and how governments in the US and China might respond.

Princeton University · Nov 1, 2024

Arvind Narayanan and Sayash Kapoor Cut Through the Confusion on Artificial Intelligence

Princeton computer scientists Arvind Narayanan and Sayash Kapoor discuss the hype and misunderstanding around AI. They draw on their book AI Snake Oil about what AI can and cannot do and how to tell the difference.

Title, channel and date checked on YouTube Oct 25, 2026. The summary is ours, from the video's own description. The pictures on our video cards are our own drawings for each kind of video, not frames from the videos. The video plays in YouTube's privacy-enhanced player; we don't copy or host it.