Tricia Martinez

AI:AM LIVE — June 25, 2026 — Surviving on Top of the Frontier Labs: Eric Olson & Tricia Martinez

The opening tracked a frontier-economics news cycle: the first legal test of the export-control blockade on Anthropic's Fable 5 and Mythos models, with legal-tech firm Legion suing the Trump administration over its authority to force the models offline; Tom Brown replacing Dario Amodei as Anthropic's lead voice in Washington; Snowflake CEO Sridhar Ramaswamy's GLM 5.2-versus-Opus 4.7 benchmark thread and what a near-frontier open-source model means for SaaS margins; Anthropic's accusation that Alibaba used nearly 25,000 fraudulent accounts to extract 28.8 million Claude exchanges to train Qwen, and the deeper question of whether distillation spreads Anthropic's alignment work as a side effect; and a wave of Google DeepMind departures alongside ban-superintelligence calls from MIRI's Nate Soares and Francis Fukuyama. Eric Olson — CEO and co-founder of Consensus, the AI research engine over 200M+ peer-reviewed papers used by 2.5M+ people a month — then joined to locate where 'AI for science' actually stands and to answer the question every AI investor keeps asking: do application-layer companies built on top of the labs get steamrolled, or compound? He detailed Consensus's 'recipes' architecture, its routing of narrow tasks to sub-billion-parameter BERT-series models, a roughly days-to-hours speed-up for researchers, and why a price-discrimination gap between API and consumer pricing is navigable but not unlimited. Tricia Martinez — founder and CEO of Dapple — followed on sovereign, single-tenant, in-country AI infrastructure; the company says it booked over $100M in enterprise contracts in its first five months on a $30M seed, and Tricia made the case for an asset-light, software-first 'Enterprise OS Cloud' against pointed questions on its 91–94% utilization claim, 6-to-9-month deployment timelines, and Azure-native dependency. The hosts closed by debating whether a company like Dapple is a market maker or a defensible control plane, what software is worth when agents are the primary buyers, and the value of human time and attention in a hyper-deflationary software world.