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AI news keeps moving from bigger frontier models to smarter ways of using models: when to spend tokens on Fable 5, when Sonnet-style reliability matters more than eloquence, and how smaller edge models may become faster and more personal.

Beth Lyons and Andy Halliday discuss Fable 5, Claude model naming, Android intelligence, AI search reliability, data-center cooling, custom inference chips, LoRA adapters, and generative video experiments. The conversation keeps returning to a practical question: how do we use AI intentionally when capability is expanding faster than our processes?

KEY POINTS DISCUSSED:

00:00:00 — Fable 5 and Choosing Models
00:05:18 — Sonnet 5 Versus Opus 4.8
00:10:17 — Claude Model Naming and Access
00:17:41 — Android Intelligence and Edge Models
00:25:43 — AI Search Accuracy Questions
00:30:18 — Data Center Cooling Costs
00:36:26 — Custom AI Chips and Memory
00:40:42 — LoRA and Personalized Small Models
00:49:36 — Fusion Animals and Video Prompts
00:55:22 — Combination as Invention

The Daily AI Show Co Hosts: Beth Lyons, Andy Halliday