Google TurboQuant Changes Everything

This episode focused on how AI systems are getting more efficient, more agentic, and more practical. The first half centered on Google’s TurboQuant breakthrough, then shifted into portable AI skills, Codex, Claude, Gemini, and team workflow design. The second half moved through Meta’s new TRIBE V2 brain model, Google’s voice-first Gemini updates, Amazon’s robotics push, and the growing case for smaller specialized models instead of always using frontier systems.

Key Points Discussed

00:01:27 Google’s TurboQuant and why cheaper, faster inference could reshape AI infrastructure

00:12:10 Building portable skills across Claude, Codex, and Gemini for real team workflows

00:22:45 An unverified report about AI companies scanning and discarding books for training

00:25:25 Meta’s TRIBE V2 brain model and virtual neuroscience from large-scale scan data

00:33:19 Gemini 3.1 Flash live audio and Andy’s long-running vision for voice-first AI systems

00:34:29 Google AI Studio, Firebase deployment, and building full application workflows inside Google’s stack

00:40:03 Amazon’s robotics acquisition and what it could mean for warehouse humanoids

00:41:43 Why smaller specialized models may beat frontier models for tasks like OCR and handwriting recognition

The Daily AI Show Co Hosts: Brian Maucere, Andy Halliday