Omar 点破了模型锁定的风险，做 AI 工程和选型的团队值得花时间规划模型路由策略，避免被单一供应商绑架。
AI 研究员 Omar 指出，随着超级强大的 AI 模型即将发布，当前最大的错误是锁定单一供应商。他建议从成本和工程角度出发，规划如何利用多种模型组合，包括开源模型。通过模型路由（routing）将任务分配给最适合的模型，能获得灵活性、数据控制权和用例自由。这对 AI 工程师和研究者来说，是未来工程化的关键策略。
The best thing you could be spending time on this week is how you can avoid model lock-in. Strateg...
The best thing you could be spending time on this week is how you can avoid model lock-in. Strategize on how you can leverage different types of models. Not a choice IMO. There is no stronger data point than what we got this week on where things are headed. You want flexibility in model usage. You want freedom in the use cases you want to support with AI. You want more control over your data. And you definitely want to own the harness and eventually the model training. Will be writing a lot more @dair_ai on how AI engineers and researchers can think and explore the combination of models and great open coding tools out there. x.com/omarsar0/statu… elvis @omarsar0 Super-powerful AI models will launch in the coming weeks. We are looking at a potential step change in model capabilities. The biggest mistake right now is to lock into one vendor. I say this not only from a cost perspective, but also from an engineering perspective. Start figuring out how to leverage combinations of these models (including open models). What that means is that you can swap models anytime and best leverage their strengths. For coding agents, open models are already just as good as the frontier ones. So, how to better prepare? Consider how you will be routing tasks/work to these models. AI model routing is high reward, and it should be part of your AI engineering efforts going forward. 🔗 View Quoted Tweet 💬 0 🔄 0 ❤️ 4 👀 865 📊 1 ⚡