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.
Data Science Bulletin
Claim This Podcastby Data Science Bulletin
19 episodes
Updated Daily
Accepts GuestsHas SponsorsLocation 🇨🇿
Podcast Overview
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.
Language
🇨🇿
Publishing Since
11/26/2024
1 verified contact email on file for Data Science Bulletin
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.
Recent Episodes
April 15, 2026
DSB Podcast #19 [CZ] - Economic Impact
<p>In the nineteenth episode of the <strong>Data Science Bulletin</strong> podcast, hosts discuss two articles focusing on the influence of large language models and AI on the future of various fields.</p><ul><li><p><strong>"Something Big is Happening"</strong> This article analyzes the potential impact of AI on our lives, highlighting both the current enthusiasm and the possible overestimation of the capabilities of today's language models.</p></li><li><p><strong>"Global Intelligence Boom 2028"</strong> This piece offers an optimistic look at the economic effects of AI, speculating on deflation and the creation of new job opportunities—though the authors critique some of its assumptions as being unrealistic.</p></li></ul><p><br></p><p><a href="https://datasciencebulletin.com/?p=1604" target="_blank" rel="noopener noreferer">Short writeup on DSB website </a></p>
March 17, 2026
DSB Podcast #18 [CZ] - Reasoning Failures in LLM
<p>In this episode we discuss the research paper 'Large Language Model Reasoning Failures,' which was published in Transactions on Machine Learning Research. We focus on a categorization framework for identifying situations where large language models fail at reasoning, pointing out that the goal of the paper is not to evaluate whether these models actually think, but rather to understand their limitations compared to human reasoning. The episode also highlights that these errors can be similar to cognitive biases in humans and discusses possible approaches to overcoming them.</p><p><br /></p><p><a href="https://datasciencebulletin.com/?p=1597" target="_blank" rel="ugc noopener noreferrer">Blog post</a> with detailed description.</p>
March 11, 2026
DSB Podcast #17 [CZ]
<p>In the 17th episode of the Data Science Bulletin podcast, hosts delve into a recent paper on "Decepticon," which examines the vulnerability of AI agents to dark patterns on websites, revealing that larger models are surprisingly more susceptible. Additionally, they dissect the recent hype around "Moldbook," a social network for AI agents, discussing its security flaws and the societal and technological implications of autonomous agents engaged in online interactions.</p><p><br></p><p><a href="https://datasciencebulletin.com/?p=1591" target="_blank" rel="noopener noreferer">Blog post with sources</a></p>
19 total episodes available
Deep-dive analytics for Data Science Bulletin
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is Data Science Bulletin?
- How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.