Intelligent Machines (Video)

IM 889: We Are the Neanderthals - Why LLMs Fail at Complex Reasoning Video

Intelligent Machines (Video)

Show Notes

Forget large language models. This episode uncovers a radically different approach to AI, where physics-guided reasoning and energy-based models are reshaping what machines can actually understand—and why that could unlock breakthroughs mainstream AIs keep missing.

Claude Opus 5.5 and OpenAI GPT-6 Sol & Luna both launch today with lower costs

Muse, Meta's extraordinarily privileged AI assistant, has a serious 0-day

Two Google DeepMind AI Researchers Resign Over Safety

MetaConnect on during the show

Google fully details Googlebooks: $899+, October launch, & more

Introducing MiMo-V2.6 series

Google CC

I'm Upping My P(Doom)

Handshake AI Skills Studio/OpenAI Brian Johnsrud

Introducing The Horowitz Andreessen Academy

On 'Cupertino,' Creators of the 'The Good Wife' Go to Silicon Valley

Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau

Guest: Patrick Hillmann

Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines.

Join Club TWiT for Ad-Free Podcasts!

Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit

Sponsors: trustedtech.team/twit

scribe.how/machines

originhq.com/intelligentmachines

More from Intelligent Machines (Video)

Oct 21, 2026

Hosts: Louis Maresca, Jeff Jarvis, and Paris Martineau

Oct 14, 2026

GitHub's developer relations VP, Martin Woodward, reveals just how dramatically AI agents are reshaping who codes, what gets built, and why open source maintainers are overwhelmed by a tidal wave of pull requests. If you thought Copilot was disruptive, wait until you hear what's coming next.

Oct 7, 2026

From deleting critical files to oversharing your banking details in Slack, today's AI agents are proving both incredibly helpful and hilariously unpredictable. Hear what actually happens when AI gets a little too persistent and why transparency about their actions matters more than ever.

Sep 30, 2026

What happens when a single person manages a staff of 24 AI "employees" with one-on-one performance reviews and weekly stand-ups? This episode takes you inside the wild, experimental frontier of local AI, where hobbyists are building their own digital workforces from scratch.

Sep 16, 2026

Discover how to run serious AI at home without breaking the bank, as Lon Seidman reveals his tricks for turning old data center GPUs into powerful local LLM machines.

See all episodes →