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.
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.
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.
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.
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/
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/
