Practical AI

Practical AI

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Models, Harnesses, and Multi-Agent Systems

AI has moved far beyond chatbots, but what exactly are AI models, agents, agent harnesses, and multi-agent systems, and why do they matter?In this episode, Daniel and Chris break down the terminology behind today's AI landscape, explain the differences between AI features and aut ...  Show more

Reconstructing how OpenAI agents attacked Hugging Face

What happens when AI agents driven by a top frontier model escape their secure sandbox? Join Daniel and Chris as they unpack the AI wonk's equivalent of a murder mystery! OpenAI agents went rogue and successfully attacked Hugging Face private infrastructure. Our Dynamic Duo uncov ...  Show more

Surviving the New Economics of a Post-Agentic World

The agentic transformation isn’t coming. It has already begun.Companies are deploying thousands — and sometimes tens of thousands — of AI agents. Enterprise software giants are watching their old economic moats erode. Capital is moving, productivity is being redefined, and human ...  Show more

The Future of AI Infrastructure with CoreWeave

As AI applications become more complex, the infrastructure powering them needs to evolve. Corey Sanders, SVP of Product at CoreWeave, joins Chris to discuss why AI requires a fundamentally different approach than traditional cloud computing. They explore AI-native infrastructure, ...  Show more

Building Durable AI Agents

What does it take to move AI agents from demos to reliable production systems? In this episode, Hamza Tahir explores how MLOps principles are shaping the future of generative AI, covering workflows, agent harnesses, fleets, and the infrastructure needed to build durable, scalable ...  Show more