想搞AI应用别再只套壳了，看看Cursor、Decagon怎么靠开源做自己的模型训练和部署。
a16z合伙人Matt Bornstein在访谈中表示，开源是AI公司摆脱OpenAI套壳的关键。他指出，Cursor已经通过开源路线成功，Decagon和Harvey也正在这样做。这些公司需要自主进行中期训练、后期训练和推理部署优化，而闭源供应商不会提供这种访问权限。开源已深度嵌入许多创新产品中，但其作用往往不易被察觉。
Matt Bornstein says open source is how AI companies stop being wrappers: "A year ago, a bunch of sm...
Matt Bornstein says open source is how AI companies stop being wrappers: "A year ago, a bunch of smaller companies or new application companies were trying to figure out, 'How do I really build an AI without just being a wrapper on top of OpenAI?' The answer to that question turned out to be open source." "This is what Cursor did. This is what Decagon and Harvey are in the process of doing now. A bunch of really strong application-level startups made the determination: we can't build just on closed source." "We need to do our own mid-training, our own post-training, our own inference and deployment tricks. All of that means it must be built on top of open source. The closed-source vendors won't give you the access to do this." "Open source became really central in a way that's not always visible because it's deeply embedded in some of these products. Some of the most innovative products and applications now really depend on this very deeply." youtube.com/watch?v=78-6dU… @BornsteinMatt Your browser does not support the video tag. 🔗 View on Twitter Christian Catalini @ccatalini Frontier labs argue distillation threatens R&D and US national security. Open-weights proponents counter that diffusion is essential to competition and innovation. Both believe theirs is the only safe path. Luckily, the economics is loyal to neither. https://t.co/jFnLjqz5DR 🔗 View Quoted Tweet 💬 12 🔄 4 ❤️ 34 👀 11108 📊 13 ⚡