Data Science Bulletin

Data Science Bulletin

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التكنولوجيا

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.

١٥ أبريل

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

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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.

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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

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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

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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

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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

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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

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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

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مشاهدة الكل (١٩)

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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Data Science Bulletin
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