Simon Mo 说开源闭源模型能力已经没差，拼的是谁能给模型搭最好的自我进化环境，拿 Moonshot 前端编码举例，挺开脑洞的。
Inferact CEO Simon Mo 在 a16z 的访谈中表示，开源权重模型与闭源模型在能力上已无明显差距，真正的差异在于分发策略和进入市场的方式。他认为，模型改进的关键不是数据来源，而是谁能为模型构建最好的自我迭代环境。他以 Moonshot 的前端编码环境为例，说明模型通过观察渲染结果持续循环优化的重要性。Mo 预测，未来一年开源模型实验室的竞争重点将是如何让模型更好地适应真实世界。
Inferact CEO Simon Mo says open and closed models are converging. The moat is environment: "What re...
Inferact CEO Simon Mo says open and closed models are converging. The moat is environment: "What really differentiates open-weight models from closed-weight models? In the end, there's not much differentiation. It's more about the distribution strategy and go-to-market strategy. Capability-wise, I don't really see a big gap, not even today." "One of the most important parts is just the data. It's about who gets what data, and then what are the environments you are building to let the model improve on itself." "For Moonshot, they have built some of the best environments for front-end coding... the ability for this model to code and then see what the rendered code is, and then continue looping in this iterative process." "Now, this is about their environment to improve the model. It's not about just source data. It's not about where they get the data from. Rather, it's who can build the best environment and who can make the most optimization and algorithmic choices to leverage all this learning from this environment." "The next year is all gonna be about that: how open-weight model labs are differentiating and really getting the model to meet the real world." youtube.com/watch?v=78-6dU… @simon_mo_ 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 💬 0 🔄 0 ❤️ 0 ⚡