Data Science Bulletin

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DSB Podcast #21 [CZ] - World models

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.

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. government's restrictions on AI tools, highlighting the complexities and geopolitical implications of AI regulation. <a href="https://datasciencebulletin.com/?p=1622" target="_blank" rel="noopener noreferer">Blog post</a>

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DSB Podcast #21 [CZ] - World models

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