Show Notes
Today we chat with Dr. Morgan Depenbusch and dive into the mindset shift that can transform your career and relationships at work. Instead of pushing harder to be heard or constantly proving yourself, what if the key is simply leading with value? Dr. Depenbusch and Scott unpack what “value” really looks like in practice—whether it’s helping teammates cut through noise, reframing presentations for executives, or positioning yourself in interviews. You’ll hear why this approach earns trust, reduces stress, and creates more opportunities than self-promotion ever could.
More from Hanselminutes with Scott Hanselman
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What happens when the laws of quantum physics meet computer science? In this special crossover episode of Hanselminutes and ACM ByteCast, Scott Hanselman sits down with Charles H. Bennett and Gilles Brassard, recipients of the 2025 ACM A.M. Turing Award, often called the "Nobel Prize of Computing."
A young man who's a sophomore in high school emailed me to come on his podcast that he does with his friend, and I had so much fun. I decided to make it a crossover episode. Check out "Compile after Class" on this week's episode!
Maynard Holliday spent 30+ years at the intersection of robotics, nuclear security, and defense technology, most recently serving as the Assistant Secretary of Defense for Critical Technologies. He's worked on everything from helping remediate Three Mile Island to securing tons of Soviet nuclear material in post-Cold War Ukraine to overseeing the Pentagon's critical technology portfolio including AI, hypersonics, and microelectronics. He shares what "trusted AI" really means, why he co-founded Black in Robotics, and how T'Challa and Tony Stark shaped his career more than you'd expect.
Felix Rieseberg came to computing through poetry, and that background gives him a unique lens for explaining language models. A longtime engineer, Felix now gets to watch AI evolve from the inside. In this episode, Scott and Felix explore why language models are surprisingly easy to understand despite feeling magical, what it's like to train a model from noise to coherence, and the bigger philosophical questions about intelligence that AI keeps surfacing. You can learn how AI really works by making your own in a weekend with his free https://languagemodelbuilder.com/