TechCrunch Disrupt 2026 sessions cover open vs closed AI model choices
TechCrunch Disrupt 2026, scheduled for October 13-15 at Moscone West in San Francisco, features four key sessions addressing how AI founders choose between open and proprietary models. The event expects over 10,000 attendees, including founders, investors, and operators, along with 250+ speakers and 300+ exhibiting startups.
Key points
- TechCrunch Disrupt 2026 runs October 13-15 in San Francisco with 10,000+ attendees.
- Sessions cover multi-model strategies, owning vs renting AI stacks, and hardware design.
- Speakers include leaders from CapitalG, Together AI, Pathway, Oumi, Nvidia, and Ricursive.
One session, "The Real Tokenmaxxing," explores multi-model strategies with Mo Jomaa from CapitalG, Vipul Ved Prakash from Together AI, and Zuzanna Stamirowska from Pathway. They will discuss balancing cost, performance, and flexibility when using different models for specific tasks. Another session by Manos Koukoumidis from Oumi focuses on whether companies should rent, customize, or build their own AI stack, providing a framework for these architectural decisions.
Additional discussions include Nader Khalil and Sydney Sykes from Nvidia examining the trade-offs between frontier APIs and open-weight models for startup differentiation. Anna Goldie and Azalia Mirhoseini from Ricursive Intelligence will address how AI is beginning to design its own hardware, linking model architecture with chip development. These sessions highlight the growing complexity of AI infrastructure choices for startups.
The story so far
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Open or closed AI? How founders are choosing what to build on at TechCrunch Disrupt 2026
TechCrunch AI · 5 October 2026
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