AI-podden

In this June news episode, host Ather Gattami sits down with Anders Arpteg to unpack the biggest AI developments from the past month. The discussion looks beyond frontier model hype to the infrastructure, platforms and specialised models that are starting to define real-world adoption. From GPT 5.6, Claude and China's fast-rising open models to custom chips, enterprise agents, geopolitical pressure, continual learning and AI-enabled cyberattacks, the episode explores where advantage in AI is really shifting: from model weights alone to data, orchestration, efficiency and domain expertise.

In this May news episode, our host Ather Gattami sits with Anders Arpteg to discuss how the industry accelerating on several fronts at once: coding, agentic workflows, enterprise tooling and research capability. As Anthropic, Google, Microsoft, Mistral and others push new models and platforms, the competitive edge is shifting from raw model performance toward speed, integration, transparency and data sovereignty. At the same time, breakthroughs in mathematical proof, AI-assisted research and formal reasoning suggest the technology is beginning to move beyond pattern recognition toward genuinely novel insight and more autonomous problem-solving.

In this special episode of AI-Podden, our host Ather Gattami sits down with Rolf Njor Jensen, VP of Technology at Lunar to explore how AI is reshaping the future of banking.
From AI-powered support agents and smarter customer onboarding, to the rise of "invisible banking", we discuss how financial services could move beyond the banking app and become part of everyday digital experiences.
We also look at what it takes to use AI responsibly in one of the world's most regulated industries, including data governance, privacy, security, human oversight and the new identity models needed for agentic AI.

In this May news episode, our host Ather Gattami sits with Anders Arpteg to discuss how the industry accelerating on several fronts at once: coding, agentic workflows, enterprise tooling and research capability. As Anthropic, Google, Microsoft, Mistral and others push new models and platforms, the competitive edge is shifting from raw model performance toward speed, integration, transparency and data sovereignty. At the same time, breakthroughs in mathematical proof, AI-assisted research and formal reasoning suggest the technology is beginning to move beyond pattern recognition toward genuinely novel insight and more autonomous problem-solving.

In this March news episode, our host Ather Gattami sits with Anders Arpteg to unpack a fast-moving period in AI, from NVIDIA GTC and the rise of agentic, always-on systems to the growing demand for inference, physical AI and autonomous driving. They argue that while the industry is moving quickly and companies are racing to build more proactive, capable systems, current models are still far weaker at reasoning and action-taking than the hype often suggests, something they link to the poor results on Arc AGI 3. The conversation also touches on shifting power dynamics between companies like Anthropic, OpenAI and Meta, before ending on a more forward-looking note with Semantic Tube Prediction, a research idea that could offer a more efficient path to reasoning in latent space rather than through token-by-token prediction.