Welcome to Our Takes on AI

Should We Let AI Vendors Shift The Responsibility to Their Users This weekend, the CEOs of Anthropic, OpenAI, Meta, and xAI all issued public statements calling for AI development to slow down. In this episode, Brian Silverman, Campbell Robertson, and Michael Muhlfelder push back on the framing itself, arguing that the "slow down" conversation is obscuring a more urgent and more solvable problem: governance. The core argument: Models don't act until prompted. The risk isn't a

Fired Then Rehired at 30% Raise Podcast Episode 22: AI Deployment Is Everywhere. Results Are Still Missing. Adoption isn't the problem anymore, nearly every organization has some form of AI in production. The problem is that almost none of them can point to a measurable return on it. In this episode, Michael, Campbell, and Brian dig into why the gap between deployment and results keeps widening, and what that means for how businesses should be evaluating AI investment going f

AI Train, leaving the station! Your AI Just Broke the Law, Good Thing It Was Only Testing, or Was It? Three Takes on AI — Episode 19 Three frontier labs, Anthropic, OpenAI, and now Meta have all disclosed incidents of their AI models going rogue during testing. Congress's answer is the AI Kill Switch Act, co-sponsored by Rep. Ted Lieu and Rep. Nathaniel Moran. In this episode, Brian Silverman, Campbell Robertson, and Mike Muhlfelder ask the question the bill never quite gets

Students Used AI to Score 96% on their exams How Would Your Organization Score on its use of AI? Stop Blaming Shadow AI. Start Harvesting It. A professor at Brown University sent his midterm home. Nearly every student scored 96% or above. He called it cheating. What actually happened A Professor at Brown University, who has taught the course for nearly two decades, said enrollment for the semester was unusually high, jumping from a typical range of 8 to 30 students up to 86.