VentureLust presents Open vs. Closed: How the Next Generation of AI Startups Will Be Built Hosted by AWS, Snowflake and Datamax Summer break is over, builders are back - or never left đ - and itâs time to kick off the new season the right way. Open-weight models are becoming increasingly capable, while closed models continue to set new benchmarks. For the next generation of AI startups, choosing between themâor combining bothâwill be one of the most important technical and strategic decisions. The evening will begin with a 45-minute fireside chat and audience Q&A, bringing together leading voices from the startup and AI ecosystem to explore how founders should think about model choice, differentiation, speed, cost, control and long-term defensibility. Speakers for the fireside chat will be announced soon. Following the discussion, we will continue on the terrace with food, drinks and networking. VentureLust is an event format created to bring the startup ecosystem closer togetherâfrom top startups and experienced founders to VCs and investors, new builders, founders operating in stealth, and the wider technology ecosystem. Our aim is to create an evening in relaxed atmosphere where you leave with genuine, high-value conversations, new perspectives and meaningful connections. Agenda 6:30 PM â Welcome & Arrival 6:45â7:30 PM â Fireside Chat & Audience Q&A Open vs. Closed Models: How the Next Generation of AI Startups Will Be Built 7:30â10:30 PM â Food, Drinks & Networking on the Terrace Food and drinks will be sponsored by our hosts. Event participation is subject to approval. Once approved, guests will receive further details by email. If maximum capacity has been reached, you will be added to the waiting list.
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Learn how to turn low-cost AI models into polished, high-quality output by building the right system around them. In this session, weâll break down how str
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Learn how to turn low-cost AI models into polished, high-quality output by building the right system around them. In this session, weâll break down how str