MuZero’s first step from research into the real world
Collaborating with YouTube to optimise video compression in the open source VP9 codec.Read More
Red Teaming Language Models with Language Models
In our recent paper, we show that it is possible to automatically find inputs that elicit harmful text from language models by generating inputs using language models themselves. Our approach provides one tool for finding harmful model behaviours before users are impacted, though we emphasize that it should be viewed as one component alongside many other techniques that will be needed to find harms and mitigate them once found.Read More
Red Teaming Language Models with Language Models
In our recent paper, we show that it is possible to automatically find inputs that elicit harmful text from language models by generating inputs using language models themselves. Our approach provides one tool for finding harmful model behaviours before users are impacted, though we emphasize that it should be viewed as one component alongside many other techniques that will be needed to find harms and mitigate them once found.Read More
Competitive programming with AlphaCode
As part of DeepMinds mission to solve intelligence, we created a system called AlphaCode that writes computer programs at a competitive level.Read More
DeepMind: The Podcast returns for Season 2
Were proud to launch a new season of DeepMind: The Podcast, with stories of the latest breakthroughs, innovations, and challenges from inside the lab.Read More
DeepMind: The Podcast returns for Season 2
We believe artificial intelligence (AI) is one of the most significant technologies of our age and we want to help people understand its potential and how it’s being created.Read More
Spurious normativity enhances learning of compliance and enforcement behavior in artificial agents
In our recent paper we explore how multi-agent deep reinforcement learning can serve as a model of complex social interactions, like the formation of social norms. This new class of models could provide a path to create richer, more detailed simulations of the world.Read More
Spurious normativity enhances learning of compliance and enforcement behavior in artificial agents
In our recent paper we explore how multi-agent deep reinforcement learning can serve as a model of complex social interactions, like the formation of social norms. This new class of models could provide a path to create richer, more detailed simulations of the world.Read More