Sriram Krishnan分析了开源模型为什么越来越火，提到Inkling、Muse Spark等新模型，解释了组织选择开源的真实原因。
Sriram Krishnan指出开源模型正迎来爆发期，@thinkymachines 的Inkling模型今天发布，证明可以接近SOTA性能且有清晰训练路线。多个团队如Grok/Cursor、Muse Spark也在推出开放权重模型，在编程和智能体领域形成多元化生态。组织因数据控制需求而愿意牺牲部分前沿模型访问权，同时担忧前沿实验室未来竞争。5个因素包括：开源可定制、企业从鼓励Token使用转向成本控制、地缘政治推动国家采用开放权重模型。
Open source AI having a moment indeed!
Open source AI having a moment indeed! 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 💬 14 🔄 2 ❤️ 17 👀 3022 📊 12 ⚡