The Superintelligence Podcast

Which parts of your job can an AI agent take over, and how do you check its work?

At Dreamforce, Mick Costigan, VP of Salesforce Futures, joined Kim Isenberg and Peter Thum for a conversation about AI agents, education and the future of work.

Mick explains why training data and the ability to verify an answer matter when deciding what to automate. We also discuss entry-level jobs, human judgment, personal AI assistants and the business models behind them, before turning to Slack and how agents might work across an organization.

His predictions for the next two years include changes to jobs and reporting structures, with digital twins helping businesses test decisions before making them.

What does it take to put a robot to work on the outside of a skyscraper?

Ido Genosar, co-founder and CEO of Verobotics, joins Kim Isenberg and Peter Thum to talk about robots that clean and inspect building facades, the economics of working at height, and what it takes to turn a pilot into a service customers will pay for.

We get into the details that rarely make it into a robotics demo: changing light, different building surfaces, deployment crews, and proving which parts of a facade have actually been covered. Ido also explains what the robots collect as they work, why field experience is hard to copy, and why a robot doing this job doesn't need to look like a person.

Kim Isenberg and Peter Thum sit down with Hume AI’s Andrew Ettinger and Olya Ossipova to explore voice AI, emotion, and the challenge of measuring how well a model listens.

The conversation focuses on the information a transcript can miss: tone, hesitation, urgency, and the context behind someone’s words. We look at Hume’s VoiceEQ benchmark and Kairos evaluation platform, where human judgment remains essential, and how companies can evaluate voice models for the situations their customers actually encounter.

Google VP of Engineering Dr. Wieland Holfelder joins Kim Isenberg on The Superintelligence Podcast to discuss sovereign AI in Europe and security when AI agents can act inside organizations.

Holfelder, who leads Google’s Engineering Center in Munich, discusses the questions businesses face as AI moves from answering prompts to taking action.

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Watch on YouTube: https://www.youtube.com/@Superintel-daily

Can an AI video model understand physics, or does it just produce convincing images? LTX co-founder and CTO Yaron Inger joins Kim Isenberg and Peter Thum on The Superintelligence Podcast to discuss LTX-2.5.

They examine multi-shot consistency, the model’s failures, the limits of speed benchmarks and what creators can run on affordable hardware. The conversation also covers open weights, enterprise customers and possible uses in filmmaking, simulation and robotics.

Learn more about LTX: https://ltx.io/

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Watch on YouTube: https://www.youtube.com/@Superintel-daily

How do you choose an AI model for a product people rely on? DataCamp co-founder and CEO Jonathan Cornelissen and Chief AI Officer Yusuf Saber join Kim Isenberg and Peter Thum on The Superintelligence Podcast to discuss AI in education.

They compare open-source models with proprietary frontier systems, explain how DataCamp evaluates its AI Tutor, and discuss reliability, cost and personalized learning. Yusuf shares lessons from building Optima, the learning platform acquired by DataCamp.

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Watch on YouTube: https://www.youtube.com/@Superintel-daily

Does running an American AI model in a European data center make it sovereign? PandaOS co-founders Philipp Türker and Marco Szeidenleder join Kim Isenberg and Peter Thum on The Superintelligence Podcast to discuss who controls the models, data and infrastructure.

They explain how local inference, self-hosting and the ability to switch providers can give users more control. The conversation also covers smaller specialized models, Europe’s AI ecosystem, the AI Act and PandaOS’s approach to a local AI workspace.

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Watch on YouTube: https://www.youtube.com/@Superintel-daily

When AI systems use web content without sending readers back, how do publishers get paid? Cloudflare Chief Strategy Officer Stephanie Cohen joins Kim Isenberg on The Superintelligence Podcast to discuss the company’s approach.

They examine Pay Per Crawl and Pay Per Use, controls for AI bots, and the differences between search, training and agent traffic. The conversation asks whether smaller publishers can benefit, what happens as AI answers replace clicks, and how much power Cloudflare should have over access to the web.

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Watch on YouTube: https://www.youtube.com/@Superintel-daily

Who decides what an AI agent is allowed to do? Arcade co-founder and CEO Alex Salazar, formerly VP of Product at Okta, joins Kim Isenberg and Peter Thum on The Superintelligence Podcast to discuss agents in enterprise software.

They examine authentication, permissions, governance and the Model Context Protocol (MCP), along with the risks of unrestricted access. Alex also discusses deployment lessons, human–agent collaboration and what is still needed for agents to operate safely in production.

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Watch on YouTube: https://www.youtube.com/@Superintel-daily

More GPUs do not solve every AI infrastructure problem. Sven Breuner from VAST Data joins Kim Isenberg on The Superintelligence Podcast to explain why storage, metadata and networking can leave expensive chips waiting for data.

They discuss how AI training and inference differ from traditional high-performance computing, what VAST means by an “AI Operating System,” and what enterprises need to consider when building larger AI systems.

More interviews and the Superintelligence newsletter: https://getsuperintel.com

Watch on YouTube: https://www.youtube.com/@Superintel-daily