In this week's episode, Ather chats with Magnus Hambleton, investor at byFounders and former data lead at Natural Cycles. Magnus has successfully applied transformers to improve fertility predictions in a medical setting. As an investor, he focuses on agentic AI and backs startups slightly ahead of what’s currently possible, betting on near-future model capabilities. He remains cautious about LLMs’ reliability and generalization, believing new architectures may be needed for AGI. While big tech is dominant, he sees room for startups in complex, workflow-driven applications.
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37:26
Where Science Meets AI
In this episode, Salla Franzén, Investment Manager at Navigare Ventures, returns to AI-Podden to explore how AI accelerates discovery in fields like life sciences and neuroscience. She unpacks the risks of tech hype, the need for explainable, trustworthy AI, and the importance of tools that bridge disciplinary gaps. Salla also shares insights on scientific investing, technical depth, and improving EU funding processes.
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37:42
What AI Can’t Do (Yet)...
In this week's episode we host John Lamb, Solutions Lead AI & Analytics at TietoEvry. John emphasises that while tools like LLMs are useful for automating repetitive tasks such as code generation or data prep, they fall short when it comes to reasoning and interpreting structured data. He explains that data cleaning still dominates much of a data scientist’s time and that current AI tools, though helpful, cannot yet be trusted for end-to-end analysis. John also discusses why he believes AGI is still years away, requiring a fundamental shift in technology, and shares practical advice for using AI responsibly, underscoring the importance of human judgment in any AI-driven workflow.
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27:08
AI, War, and the Human Touch
In this episode, we host special guest; Senior Business and Tech Correspondent at SVT and author, Alexander Norén. We discuss how AI is transforming warfare, especially through autonomous drones and decision-making systems, as explored in his documentary AI War. Alexander also reflects on AI’s impact on jobs, arguing that human-made work will gain value in the future. The conversation ends with concerns about AI-driven misinformation and the importance of trustworthy, human-centered journalism.
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43:37
The AI Revolution: Industry Disruption, Investment Shifts, and Future Challenges
In this episode we speak to Anders Indset, a philosopher, deep tech investor, and best-selling author. We discuss AI’s real-world impact, emphasizing Large Quantitative Models (LQMs) that optimize industry-specific data in fields like healthcare, finance, and logistics. Anders critiques Europe’s cautious investment culture, advocating for a bolder approach in AI-driven sectors. Inset stresses the need for balanced AI regulation to foster innovation while addressing global challenges like climate change.
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