Director, FutureTech research project at MIT Computer Science & A.I. Lab, and PI at the Initiative on the Digital Economy at the MIT Sloan School of Management.
Our new paper shows how AI foundation models are being adopted in science. Growth is rapid, but uneven. The AI models being used are old and underpowered, so there is still lots of room to make science more productive! @MITFutureTech@MIT_CSAIL@mit_ide
Our new paper breaks down algorithm progress in AI (which is faster than GPU progress). Surprisingly, much of the gains have only gone to the largest models, which is bad news for AI efficiency improvement. @MITFutureTech
Excited to announce that our paper on the economic impacts of AI-augmented R&D is out in Research Policy. Useful if you want (i) an estimation of the deep learning production function, (ii) a better way of inferring human capital from author lists, or...