Editor's Synopsis
Richard Sutton, widely regarded as the father of reinforcement learning, has launched a new lab with an ambitious goal: building a trillion-parameter agent that learns in real time while consuming only 20 watts of power. This represents a dramatic challenge in efficiency and scale, aiming to create powerful AI systems that operate within extreme energy constraints.
The post references Sutton's influential 2019 essay, The Bitter Lesson, which argued that general methods leveraging computation consistently outperform approaches that try to encode human domain knowledge. This new lab appears to be a direct extension of that philosophy — pushing toward massively scaled, computation-driven agents while simultaneously targeting radical energy efficiency, a combination that could reshape how AI systems are designed and deployed.