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Language Model Builder with Felix Rieseberg

august 2026 ‧ twitter imported ‧ open in karakeep

by Scott Hanselman ‧ Hanselminutes Podcast ‧ saved copy from 2026.08.28

From X bookmark — @shanselman (Scott Hanselman 🌮), Aug 26 2026 https://x.com/shanselman/status/2092659358333112373

Felix Rieseberg, who approaches computing with a poetic background, offers a unique perspective on language models in this episode of the Hanselminutes podcast. He discusses why language models are simpler to understand than they appear, the process of training a model from random noise to coherent output, and the philosophical questions AI raises about intelligence. Listeners are invited to explore AI by building their own language model over a weekend using his free tool at languagemodelbuilder.com. The conversation blends technical insights with broader reflections on AI's evolving role.

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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/

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