Mudith Jayasekara(@mudithj):We're working towards the open intelligence safety stack! We've always been interested in making models do 'real' work. But we've also been very interested in making sure they are safe and aligned (before it was cool). This started for us with mech interp at @parsedlabs, and now continues at @baseten which serves so much of the world's traffic. The responsibility definitely lies both on the closed and open labs to help shape this work. Excited to partner with @Thom_Wolf @ClementDelangue @julien_c + team from @huggingface and @eric_ho @banburismus_ + team from @GoodfireAI. We'll be publishing our safety research in the open and are aiming to build as much of it as possible into our serving stack. To start, this will include alignment training, monitoring in prod, and interventions shaped from these detected failures. A big ecosystem effort!

2026.09.16 18:59

We're working towards the open intelligence safety stack! We've always been interested in making models do 'real' work. But we've also been very interested in making sure they are safe and aligned (before it was cool). This started for us with mech interp at @parsedlabs, and now continues at @baseten which serves so much of the world's traffic. The responsibility definitely lies both on the closed and open labs to help shape this work. Excited to partner with @Thom_Wolf @ClementDelangue @julien_c + team from @huggingface and @eric_ho @banburismus_ + team from @GoodfireAI. We'll be publishing our safety research in the open and are aiming to build as much of it as possible into our serving stack. To start, this will include alignment training, monitoring in prod, and interventions shaped from these detected failures. A big ecosystem effort!

Base Labs@baselabs

2026.09.16 18:10

We believe openness to be an advantage for AI safety. Openness provides more visibility into the behavior of models and, most importantly, greater means of turning safety research into actionable and transparent controls than closed-source. This is why Baseten and Base Labs are building a stronger safety and security standard for open models, with the launch of our safety infrastructure. Base Labs will develop and publish methods for training and monitoring open models, and Baseten will integrate that work into its deployment infrastructure, live at runtime, and offer this work as a managed service. This will be a standard that is transparent and built into how our models are trained and deployed. We invite the open-source community to contribute, and are proud to partner with @huggingface and @GoodfireAI to bring this vision to fruition. Together, we are building an ecosystem of open models that are safe and accessible to all.

커뮤니티로 전달