Summary

(0:00) Welcome Naveen Rao (4:45) Is energy really the problem? The cost of a token, power contracts & the gap to close (10:24) Cutting out the middleman: abstractions, dynamical systems & a new kind of machine (19:46) Chamath joins: the path to product, porting existing models & building the team Thanks to our partners for making this possible! IREN is a …

Key takeaways

• Unconventional AI has built the world's first physical dynamical computer chip—taped out in June and already generating images at ~500 nanojoules per image, orders of magnitude more efficient than GPUs.
• The core architectural breakthrough eliminates the von Neumann memory-compute separation by making each computing element its own memory, drastically reducing data movement—the primary driver of energy consumption in AI hardware.
• At current AI growth trajectories, a single company (Google) already consumes ~12 gigawatts monthly for AI inference alone, putting the world on a collision course with energy limits within ~3 years—making 1,000x efficiency gains an existential market need.

Why this matters

For enterprise and infrastructure leaders, Unconventional AI's dynamical computing architecture represents a potential platform shift that could collapse AI inference costs by orders of magnitude, reshape data center economics, and unlock AI deployment at scales and form factors currently impossible with GPU-based systems.

Entities

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Show notes

(0:00) Welcome Naveen Rao (4:45) Is energy really the problem? The cost of a token, power contracts & the gap to close (10:24) Cutting out the middleman: abstractions, dynamical systems & a new kind of machine (19:46) Chamath joins: the path to product, porting existing models & building the team Thanks to our partners for making this possible! IREN is a vertically integrated AI Cloud platform, delivering data centers, compute and software for AI training and inference. https://iren.com/ Oracle

Themes

• inference