From semiconductor earnings to scientific search and sovereign AI infrastructure, this episode follows the parts of the AI stack where the economics are changing fastest. Prakash Narayanan and Nathan Labenz start with Micron, hyperscaler capex, and Anthropic’s policy posture before turning to the controversy around GLM 5.2 and Claude distillation allegations.
Then Eric Olson, CEO of Consensus, joins to talk about AI for science: how research workflows are changing, where guardrails matter, and how teams think about model choice and token costs. Later, Tricia Martinez, founder and CEO of Dapple, discusses sovereign AI infrastructure, GPU utilization, enterprise adoption, and the operational frictions shaping the market.
The back half of the conversation widens into AI inference pricing, vendor lock-in, new NVIDIA chip stability, and the pressure foundation models may place on software companies and the app layer.
Show Notes
Prakash Narayanan and Nathan Labenz are joined by Eric Olson, CEO of Consensus, and Tricia Martinez, founder and CEO of Dapple, to discuss two practical frontiers in AI: scientific research and sovereign infrastructure. The episode also covers Micron earnings, hyperscaler AI capex, Anthropic’s Washington strategy, GLM 5.2 and Claude distillation allegations, GPU capacity constraints, AI inference pricing, and whether foundation models are squeezing the app layer.
Chapters
(0:00) 25,000 FAKE ACCOUNTS TO STEAL AI.
(0:42) 95% of Claude at 1/100th cost.
(1:36) The AI bubble is a myth. Here’s why.
(2:12) AI vacation planners are wrong.
(3:11) Anthropic hired Instagram’s CTO.
(4:08) Micron earnings & AI semiconductor boom
(7:25) Will hyperscalers make money on AI?
(9:08) The Fable 5 export control legal challenge
(13:57) Tom Brown replaces Dario in Washington
(17:15) GLM 5.2 vs Opus 4.7 trajectory breakdown
(22:53) Anthropic accuses Alibaba of mass distillation
(30:08) Researchers leaving Google DeepMind
(31:46) Intro
(33:49) The state of AI for science
(38:17) How AI search queries are evolving
(41:18) Guardrails vs flexibility in AI products
(41:28) User demographics and token costs
(41:38) Open source vs frontier models
(41:49) Small models for classification
(46:12) How users choose AI research tools
(48:56) AI API pricing for startups
(53:51) Who is Tricia Martinez
(56:02) The AI infrastructure bubble myth
(1:02:15) 91-94% GPU utilization explained
(1:07:17) How to deploy AI in 6-9 months
(1:09:35) Financial risks in AI infrastructure
(1:15:43) What is the moat for AI infra?
(1:23:34) Biggest enterprise AI mistakes
(1:27:07) Why AI compute sales cycles are short
(1:28:54) Data Center Quirks & GPU Vendor Lock-in
(1:35:29) Why New NVIDIA Chips Are Unstable
(1:38:08) Sovereign AI in Banking & Shared Liability
(1:45:22) Will AI Agents Replace Software Companies?
(1:51:55) The Truth About AI Vacation Planners
(1:55:55) Hyperscaler Stock Drop & Microsoft Data Centers
(1:58:52) The 10x cost advantage squeezing apps
(2:01:56) AI inference pricing as the airline model
(2:06:45) Net neutrality parallels and paradigm breakers
(2:10:00) Anthropic’s Mike Krieger product advantage
(2:13:24) The first-party model deployment threat
(2:17:14) Why frontier labs should buy scientific publishers
(2:20:15) Mirandel: ex-Anthropic startup backed by NVIDIA
Guests:
Eric Olson — CEO & co-founder, Consensus (𝕏 | LinkedIn)
Tricia Martinez — Founder and CEO, Dapple (𝕏 | LinkedIn)
