Reflection co-founder Misha Laskin sits down with Claire Zau in Washington, D.C. to explain why AI labs need a presence in policy conversations and where the open weights debate stands right now. Misha compares closed and open models to renting and owning a home, and says companies that started by renting intelligence are now moving toward ownership. He describes a shift on AI gateways over the past six months from roughly 70 percent closed tokens to a majority of open ones.
They also cover some of Misha’s arguments: why China's labs have led on open models, why AI startups want control over cost, compute and data, and why that open source is the safer way to deploy AI. He makes the case through the history of strong encryption and Linus's law, and through the recent incident involving OpenAI and Hugging Face.
Stay in touch: www.lsvp.comX: / lightspeedvp LinkedIn: / lightspeed-venture-partners Instagram: https://www.instagram.com/lightspeed/...The content here does not constitute tax, legal, business or investment advice or an offer to provide such advice, should not be construed as advocating the purchase or sale of any security or investment or a recommendation of any company, and is not an offer, or solicitation of an offer, for the purchase or sale of any security or investment product. The views expressed by our guests do not necessarily represent the views of Lightspeed. For more details please see lsvp.com/legal.Chapters: 00:00 Why AI Labs Need a Presence in DC01:15 The Open Weights Fight Explained02:09 Closed vs. Open Models: The Real Estate Analogy03:16 Why China Is Leading Open Models05:05 Why Developers and Startups Are Adopting Open Models06:45 AI Safety and the Open Source Debate08:19 Linus’s Law Applied to AI Safety09:26 Why Open Models Are Actually Safer10:44 Open Models in Practice: The Hugging Face IncidentvShifting From Renting AI to Owning It • Shifting From Renting AI to Owning It
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