The Efficiency Arms Race: Tiny Models, Smarter Chips, and Who Owns the Data?

A light-powered chip slashes AI’s energy appetite, tiny models punch far above their weight, and the co-creator of RSS has a plan to make AI companies finally pay for the data they use. Hosts Maya Lin and Sébastien Deschamps break down the week’s biggest AI stories.

In this episode, we cover:

• 🚀 The Hardware Breakthrough: How a photonic chip from the University of Florida makes AI 100x more efficient.
• 🤖 The Rise of Small Models: Why open-source models like K2 Think (32B) and Baidu’s ERNIE are challenging the “bigger is better” paradigm.
• ⚙️ The MCP Registry: Why the “App Store for Enterprise AI” is a silent game-changer for developers.
• ⚖️ The Data Licensing Revolt: Analyzing the “Real Simple Licensing” protocol and its potential to fix AI’s biggest ethical problem.
• 💡 Startup Spotlight: AI “second brains,” companions to combat loneliness, and the state of robotaxis.
• ⚠️ The Critical Counterpoint: A discussion on a new book arguing AI is a new frontier for women’s oppression.

Key Questions We Explore:

• Would you pay for an AI companion to combat loneliness?
• Is efficiency the new battleground for AI supremacy?
• Can a new protocol finally solve the AI data licensing crisis?

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