In the Long Run

• Ep. 12 - Attention Is All You Need

  Marie, Jim, and João discuss balancing personal skill-building with technological ease. Using examples from woodworking, urban-planning videos, and navigating cities, they question when relying on technology becomes freeing and when it risks dulling essential abilities. Marie highlights three mental "muscles"—attention, reading, and memory—that technology might weaken. While AI can swiftly summarise complex content, they argue this convenience may undermine our ability to engage deeply, recall independently, or remain truly present. The trio consider future generations growing up alongside smart assistants, contemplating what minimum skills are needed.

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• Ep. 11 - The Brain Behind the Bot: Decoding AI's Hidden World

  Welcome to "In the Long Run," the podcast where we explore technology, data, and AI decision-making. In this episode, Jim and João discuss Anthropic's research on mechanistic interpretability, which aims to reverse-engineer neural networks to understand how AI models actually work. They compare AI models to human brains as "black boxes" with unclear internal processes and explore how multilingual models like Claude may use a universal "concept language" internally before translating to specific human languages. The conversation also touches in the part of the study that reveals evidence that AI models plan multiple words ahead rather than simply predicting one word at a time. We further discuss the shift from "large language models" to "foundation models" as these systems now incorporate multiple modalities including text, images, and audio. They highlight GPT-4's new image generation capabilities that recently dominated social media with "Ghiblifying" images. The episode concludes with AI news including Google's Gemini 2.5 release, OpenAI's plans for an open-weight model, and the adoption of Model Context Protocol as a potential industry standard for AI tools.

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• Ep. 10 - Manual Decisions in an Automated World

  Welcome to "In the Long Run," the podcast where we explore technology, data, and AI decision-making. Our conversation starts with AI safety, highlighting its paradoxical nature—caught between rapid advancement and existential caution. We discuss the control problem, analogies illustrating potential challenges of managing superior AI, and question whether our trajectory with AI is consciously chosen or blindly/economically driven.We examine the importance of data transparency, the pitfalls of gut decisions, and validating data-driven outcomes. Finally, we reflect on the tangible impacts—both beneficial and frustrating—of operating without powerful AI tools.Join us today for an insightful exploration into AI safety, ethical technology advancement, and the importance of mindful choices in shaping our future.

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• Ep. 9 - Recent AI News and a Company in a Box

  Welcome to In the Long Run episode 9!Join Joao, Marie, and Jim as they dive into the latest AI breakthroughs, including the launch of cutting-edge foundation models Grok 3, Claude 3.7, and ChatGPT 4.5. They explore the promising potential of OpenAI's DeepResearch initiative and its real-world applications, while also examining recent advancements in AI video generation with Sora's EU launch and Alibaba's innovative WAN2.1 model.In the second half, our hosts share fascinating insights on the "company in a box" concept, unpacking what this means for business transformation and how it relates to organizational technology adoption in today's rapidly evolving landscape.Whether you're an AI enthusiast, business leader, or simply curious about how these technologies are reshaping our world, tune in to Episode 9 of In the Long Run for thought-provoking discussions that will expand your perspective on the future of technology and business.

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• Ep. 8 - The ChatGPT Enterprise Rollout, Costs, Challenges, and Early Learnings

  Welcome to In the Long Run! Scania is now using ChatGPT Enterprise.Joao and Jim discuss how reaching an agreement with OpenAI required time due to legal and security concerns. Once finalised, they planned the ChatGPT Enterprise rollout, launching an early adopters program to test its impact.They share insights on training, collaboration, and AI adoption costs. The results are still being analyzed and will be covered in a future episode. They also explore AI breakthroughs like reasoning models, DeepSeek, Stanford’s $50 AI model, and Google’s AI offering.

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