AI App Defensibility: Forget In-House Labs, Build Network Effects
Ev Randall cuts through AI startup defensibility myths. Stop building a 'labs team' and focus on network effects, not chasing frontier models.
40 hours of podcasts, in 5 minutes.
On this July 16th episode, John Coogan and guest host Tyler Cosgrove discuss the launch of Thinking Machine's Inkling AI model and the ongoing debate around open-source model distillation. They also analyze California Forever's loss of a major shipyard project to Texas and delve into the current venture capital landscape with Ev Randall, exploring AI's impact on investing and app-layer defensibility. Eric Lyman from RAMP introduces a new tool for managing enterprise AI token spend, Jordan Black from Senra Systems details his company's efforts to automate wire harness manufacturing, and David Bizooki from Roblox outlines AI-powered game creation and the future of gaming.
Ev Randall cuts through AI startup defensibility myths. Stop building a 'labs team' and focus on network effects, not chasing frontier models.
California's slow approvals cost it a $3.2B shipyard. Bureaucratic drag kills big deals. Founders building physical infra, note this lesson.
AI token spend is exploding. Ramp co-CEO Eric Lyman reveals why your AI costs are now a material line item and how to fight back.
AI's open-source promise faces a reckoning. Thinking Machine's Inkling model sparks a debate: are 'original' models just distilled copies? What it means for your IP.