
Engineering the Stack: Efficiency, Control, and Safety Eclipse Raw Scaling
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- The capability gap between flagship and budget-tier models is narrowing through deliberate pricing, caching, and training-cost engineering rather than fundamental architecture changes.
⏱️ Chapters
00:00 Intro
00:16 Engineering the Stack: Efficiency, Control, and Safety Eclipse Raw Scaling
00:20 Highlights
02:53 The Cost-Efficiency Frontier: Near-Flagship Capability at Fractional Cost
05:10 Harness-Level Optimization: The New Locus of Agent Efficiency
07:17 Physical AI Safety: From Benchmark Exposure to Full-Stack Assurance
09:31 Embodied Control: Converging on Asynchronous Separation of Timescales
12:09 Inference Economics: Memory-Bandwidth and KV-Cache as the Binding Constraints
14:59 AI-Driven Scientific Discovery: From Protein Design to Mathematical Proof
17:54 Agent Infrastructure: Composable, Auditable, and Secure by Construction
20:28 Briefly Noted
23:52 Synthesis and Outlook
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