Episodes: 1000
Frequency: Weekly
Rating: 4.8/5.0
Estimated listeners: 10k-100k
Gender skew: Male
Location: USA
Publicly listed emails
scott@hanselman.com
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Scott Hanselman - Programmer, author, speaker, and technology educator known for his work in software development, web technologies, and developer communities.
Maynard Holliday - Robotics, Nuclear Security, Defense Technology, Trusted Artificial Intelligence, Critical Technologies, And Diversity In Robotics.
Felix Rieseberg - Language-model Training, Artificial Intelligence, Machine Intelligence, And Making A Language Model From Scratch.
Varun Badhwar - Software Supply-chain Risk, Open-source Dependencies, Ai-generated Code, Developer Security, And Application Security.
Alexandra Lato - Developer Knowledge-sharing, AI Agents, Software Development, Stack Overflow For Agents, And Verifying Technical Information.
Compile after Class Crossover Episode
August 21, 2026
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! https://www.youtube.com/@shreemanickaraja
Robots, Nukes, and AI: A Career at the Frontier with Maynard Holliday
August 13, 2026
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-founde...
Language Model Builder with Felix Rieseberg
August 06, 2026
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 ...
Publicly listed emails
scott@hanselman.com
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