Gauge Equivariant CNNs, Generative Models, an...

AI agents are becoming accessible to everyone, raising the bar for developers building the next generation of agent products. When capable, general-purpose agents are available out of the box, differentiation increasingly comes down to the architectural decisions and specialized ...  Show more

AI agents need the institutional knowledge experienced employees rely on: why a system works a certain way, which policies apply, and what never made it into the documentation. Capturing that knowledge is hard. Keeping it useful as people and agents add more may be harder. In thi ...  Show more

Hongyi Wang, a Senior Researcher at the Machine Learning Department at Carnegie Mellon University, joins us. His research is in the intersection of systems and machine learning. He discussed his research paper, Cuttlefish: Low-Rank Model Training without All the Tuning, on tod ...

Wendell Wallach, Senior Fellow at The Carnegie Council for Ethics and International Affairs, and author of A Dangerous Master: How to Keep Technology from Slipping Beyond Our Control, joins us to discuss all things Artificial Intelligence, including the risks, rewards, regulation ...  Show more

Kyle is joined by friends and former guests Pramit Choudhary and Frank Bell to have an open discussion of the impacts LLMs and machine learning have had in the past year on industry, and where things may go in the current year.