Sriram Krishnan梳理了开源模型突然火爆的六个原因，比如你可以用开源模型做到接近SOTA，还能控制数据。想了解为什么越来越多公司和组织选择开源？看这个。
Sriram Krishnan指出开源模型和工具链正处于高光时刻，原因是多方面的。例如，Thinkymachines的Inkling今天发布，表明开源可以接近SOTA性能并有清晰训练路线。此外，Grok/Cursor、Muse Spark等接近SOTA的模型涌现，形成一个多样化的模型生态。组织为控制数据使用和成本，愿意放弃部分前沿token访问。地缘政治上，各国希望通过开源模型在可控环境中获取前沿token。
Interesting.
Interesting. Sriram Krishnan @sriramk It is clear open source models and harnesses are having a moment. There's a few factors at work 1/ It is now obvious that you can catch up to near-SOTA performance and do so with a clear training lineage. See: @thinkymachines Inkling launch today. 2/ There are several well-funded, talented teams building open weight models now in the US and abroad. Along with the explosing of other near SOTA models (Grok/Cursor, Muse Spark), it is clear we are going to have a diverse ecosystem of models atleast on coding and agentic use. 3/ Organizations are increasingly looking for control over how their data is used and are willing to trade off some access to frontier level tokens for this control. Organizations and countries are increasingly nervous about the frontier labs potentially competing with them down the road and don't want their data to enable a future competitor. 4/ Open source is a slider: you could bring your own open harness, your evals, your business context and are free to pick and choose your model of choice. 5/ Companies have now actively shifted from "how do we get our people to use tokens" to being uncomfortable with their token cost ballooning without a clear line to revenue. 6/ Geo-politically, countries will be weighing open weight models as a way to get frontier-level tokens inside controlled environments that may not be otherwise possible. All of this leads to more choice for all of us ! 🔗 View Quoted Tweet 💬 9 🔄 5 ❤️ 52 👀 18121 📊 10 ⚡