HeyJaredData Science Bulletin
Data Science Bulletin is a podcast about news in space of data science, artificial intelligence and machine learning. We bring you views of people "on the ground", implementing these methods into industry setting. Podcast in Czech, accompanying posts and newsletter in English.
- Indexed episodes, last 90 days
- 3
- Latest publication
- Sep 10, 2026
- Audience
- Checking…
- Earliest in this view
- Jul 20, 2026
Latest episodes
DSB Podcast #22 [CZ] - Minimal description Lenght and Harnesses (opens the original)
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In this episode of the Data Science Bulletin podcast, hosts delve into the historical significance of AI research by exploring a list of recommended papers, including Geoffrey Hinton's "Keeping Neural Networks Simple by Minimizing the Description Length of the Weights," which addresses overfitting in neural networks. They discuss the concept of harness engineering, which involves creating supportive infrastructures around AI models, particularly in programming and productivity contexts, highligh
DSB Podcast #21 [CZ] - World models (opens the original)
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In this episode, hosts delve into the concept of "world models" in AI, discussing their potential applications and the debates surrounding their development, particularly focusing on the insights of experts like Jan LeCun and Fei-Fei Li. They explore the challenges of hierarchical planning and representation in AI, as well as the niche nature of world models compared to mainstream large language models. The episode also touches on the June's controversy involving Anthropic and the U.S. governmen
DSB Podcast #20 [CZ] (opens the original)
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In the 20th episode of the Czech-Belgian Data Science Bulletin podcast, hosts Martin and Jakub explore two main topics. They delve into a paper titled "Evaluating Agents Markdown: Are Repository-Level Context Files Helpful for Coding Agents?" which discusses the impact of adding Markdown files to code repositories for coding assistants, weighing human-written versus AI-generated files. Additionally, they discuss Andrej’s insights on personal knowledge bases and how to effectively organize and qu
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