The internet is facing a fundamental shift—and the way we measure success online is shifting too. Reach, trust, attribution, and influence are the new metrics to measure against in the post GenAI era.

Prashanth Chandrasekar

Ryan is joined by Jared Quincy Davis, CEO and co-founder of Mithril, to explore the importance of efficient resource allocation and GPU utilization in AI, the myth and misconceptions of the GPU shortage, and how the economics of GPU will change with new scheduling and utilization strategies.

Phoebe Sajor

Ryan talks with Deepak Singh, VP of Developer Agents and Experiences at AWS and lead at Kiro, about spec-driven development in a vibe coding world. They explore how AI tools have evolved from autocomplete to sophisticated agents that can write code based off of just specs, and how AWS has pioneered spec-driven development through their Kiro agent.

Phoebe Sajor

Ryan sits down with Marco Palladino, CTO of Kong, to talk about the rise of AI agents and their impact on API consumption, the MCP protocol as a new standard for agents, the importance of observability and security in AI systems, and the importance for businesses and entrepreneurs to leverage opportunities in the agentic AI space now.

Phoebe Sajor

Statistically-relevant data, but not actually exploitable.

Ryan Donovan

AI and nanotechnology are often seen as science fiction. But together they are finding real-world applications.

Bernie Brode

Ben sits down with Bill Pearson, VP of the Internet of Things Group and General Manager of Developer Enablement at Intel, to talk about computing on the edge and how developers are using AI across use cases to make their apps faster and smarter.

Eira May

Vision AI used to be something only specialized shops could add to projects. Now it's accessible to any software developer out there.

Quenton Hall, KV Thanjavur Bhaaskar

Intel is now on Collectives™ on Stack Overflow.

Jascha Drel

Teaching AI to master games without knowing the rules may help to lay the foundation for more general intelligence in real world environments.

Ben Popper

The next big revolution in coding practice might be closer than we think, and it involves helping computers to code themselves. By utilizing natural language processing and neural networks, some researchers think that within a few years we can remove humans entirely from the coding process. If you work as a coder, you'll be glad to hear that they are wrong.

Nahla Davies