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Data Science Bulletin

Data 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.

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  • 21 episodes
  • Avg 41 min
  • Czech
Counted on this page — what you have heard stays on this device, so it is not something the list can be paged by.
  • #21
    Wednesday · 42 min

    DSB Podcast #21 [CZ] - World models

    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. Blog post

  • #20
    July 20 · 37 min

    DSB Podcast #20 [CZ]

    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 query personal wikis using language models. Blog post

  • #19
    April 15 · 44 min

    DSB Podcast #19 [CZ] - Economic Impact

    In the nineteenth episode of the Data Science Bulletin podcast, hosts discuss two articles focusing on the influence of large language models and AI on the future of various fields. "Something Big is Happening" 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. "Global Intelligence Boom 2028" 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. Short writeup on DSB website

  • #18
    March 17 · 44 min

    DSB Podcast #18 [CZ] - Reasoning Failures in LLM

    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. Blog post with detailed description.

  • #17
    March 11 · 35 min

    DSB Podcast #17 [CZ]

    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. Blog post with sources

  • #16
    February 14 · 37 min

    DSB Podcast #16 [CZ]

    In the 16th episode of the Data Science Bulletin podcast, hosts Martin and Jakub delve into the intricacies of AI strategies, focusing primarily on the national AI strategy of the Czech Republic and its implementation plan. They critically analyze the document's ambitious goals, such as aspiring to be in the top 10 AI countries, and the lack of concrete steps or prioritization to achieve these aims, highlighting the excessive generality and bureaucratic hurdles. We also discuss the role of state interventions versus market-driven approaches in fostering AI development and express skepticism about the strategy's effectiveness in its current form. blog post with sources and summary

  • #15
    Sep 16, 2025 · 51 min

    DSB podcast #15 [CZ]

    In this episode of the Data Science Bulletin podcast, hosts Martin and Jakub discuss the latest developments in the world of AI, focusing on the release of the GPT-5 model. They share their personal experiences and disappointments with the model's performance and the implications of its cost-cutting measures. Additionally, they explore the broader impact of AI's integration into everyday life and discuss the concept of open-source politics and its potential influence on governance. Blog post and sources

  • #14
    Aug 14, 2025 · 49 min

    DSB podcast #14 [CZ] - Build Baby Build

    In the 14th episode of the Data Science Bulletin podcast, hosts Martin Münch and Jakub Kramata discuss the latest advancements in AI regulations and infrastructure, focusing on the America's AI Action Plan announced by Donald Trump. They explore the plan's emphasis on reducing bureaucracy, enhancing AI infrastructure, and fostering international AI diplomacy, all while weighing its potential impacts against European approaches. The episode also touches on the security challenges faced by tech companies, highlighted by recent data breaches in popular applications. Blog post and sources

  • #13
    Aug 9, 2025 · 54 min

    DSB podcast #13 [CZ] - Latest AI Reports

    In this episode of the Data Science Bulletin Podcast, hosts Martin Münch and Jakub Kramata delve into recent AI reports, including the 2025 AI Index Report, AI Engineering Report, and a boxed State of AI Report. They discuss the implications of AI adoption across industries, the evolving roles of data scientists versus AI engineers, and the increasing relevance of human-in-the-loop systems. The hosts also highlight the importance of infrastructure and evaluation frameworks in the successful integration of AI technologies. DSB Blog

  • #12
    Aug 1, 2025 · 34 min

    DSB podcast #12 [CZ] - Revolut

    In the 12th episode of the Data Science Bulletin podcast, hosts Martin Münch and Jakub Kramata discuss two intriguing topics. They delve into the recent news of Meta reportedly offering $100 million signing bonuses to researchers, with some from OpenAI already making the jump, although there are debates about the details and offers. The episode also explores Revolut's upcoming AI-driven banking assistant and reflects on Revolut's unique place in the fintech landscape, emphasizing the company's focus on customer experience and innovative banking solutions. Blog post

  • #11
    Jul 15, 2025 · 33 min

    DSB podcast #11 [CZ] – Illusion of Thinking

    In this episode of Data Science Bulletin, hosts Martin and Jakub, delve into the current state of reasoning models in AI, with a focus on a recent research paper from Apple entitled "The Illusion of Thinking." The discussion highlights the paper's critique of current benchmarking methods for AI models, emphasizing issues like data contamination and questioning the true reasoning capabilities of these models. The hosts also explore the broader implications of these findings and how they fit into the ongoing debate about the generalizability and limitations of AI reasoning. Fo more: https://datasciencebulletin.com/dsb-podcast/dsb-podcast-11-illusion-of-thinking/

  • #10
    Jun 20, 2025 · 52 min

    DSB podcast #10 [CZ]

    In the 10th episode of the Data Science Bulletin podcast, Martin and Jakub celebrate reaching this milestone by discussing their journey and roles as team leaders in the data science field at ČSOB. They reflect on the challenges and learning curves faced as they transitioned from individual contributors to team leaders, emphasizing the importance of delegation and mentorship. Additionally, they touch on topics from the recent Trendy Práce conference, exploring the implications of AI on the future of work and education. Related blog summary: https://datasciencebulletin.com/dsb-podcast/dsb-podcast-10/

  • #9
    May 27, 2025 · 38 min

    DSB podcast #9 [CZ] - Pycon DE - Topologická analýza dat

    In this episode, we are joined by Ondra Draganov, a research mathematician at INRIA in France, who shares his 15-year academic path from Prague to Vienna and now to France. Ondra delves into his work in topological data analysis, discussing its application and relevance to various fields like biomedicine, while also exploring its conceptual complexity. The conversation wraps up with a look at the potential of generative AI in research and Ondra's personal approach to coding and utilizing libraries.More: https://datasciencebulletin.com/dsb-podcast/dsb-podcast-9-exploring-topological-data-analysis-with-ondra-draganov/

  • #8
    May 12, 2025 · 38 min

    DSB podcast #8 [CZ] - Pycon DE

    This episode we talked about a trip to Darmstadt where PyCon and Pydata DE happend. More about here: https://datasciencebulletin.com/dsb-podcast/dsb-podcast-8-pycon-de/

  • #7
    Apr 28, 2025 · 54 min

    DSB podcast #7 [CZ]

    This episode we dedicated to the material AI-2027. Prediction circulating social networks how the world will look like in 2 years. Accompanying blog post: https://datasciencebulletin.com/dsb-podcast/dsb-podcast-7-ai-2027/

  • #6
    Apr 18, 2025 · 45 min

    DSB podcast #6 [CZ] - Future of coding

    In this episode, we dove headfirst into the hotly debated question: Are programmers on the road to extinction, or will coding roles simply evolve? Here’s a concise look at the highlights, insights, and spirited discussions from the show.Details: https://datasciencebulletin.com/dsb-podcast/dsb-podcast-6-future-of-coding/

  • #5
    Mar 14, 2025 · 37 min

    DSB podcast #5 [CZ]

    Conversation about data science and AI. This episode we went through Klarna story and AI consultanciesSummary and links: https://datasciencebulletin.com/dsb-podcast/dsb-podcast-5/

  • #4
    Feb 25, 2025 · 22 min

    DSB podcast #4 [CZ]

    In the 4th episode we went through topics of 2024 that we found interesting to mention and comment. Summary and links: https://datasciencebulletin.com/dsb-podcast/dsb-podcast-4/

  • #3
    Jan 3, 2025 · 46 min

    DSB podcast #3 [CZ]

    We went through the question "how to get into data science" in the third episode recorder just before Xmas 2024. Audio is in Czech, but AI generated episode summary is in English. Tips on online academies, courses, books and what to do next. Summary and sources: https://datasciencebulletin.com/dsb-podcast/dsb-podcast-3/

Showing 1–20 of 21 episodes