Beyond the Hype: Open Source, Observability, and Finding Your AI Breakthrough
Its rare - but it happens: A guest-free episode of PurePerformance, allowing Andi Grabner and Brian Wilson reconnect to share real-world insights from recent months in the cloud-native and observability space. From KubeCon Amsterdam experiences and the strength of open-source collaboration to emerging challenges like AI-generated contributions, they explore how the industry is evolving beyond the hype. Your co-hosts of PurePerformance discuss the changing role of observability in the AI-native era—both as a foundation for understanding complex systems and as a tool to monitor AI itself. Brian shares his personal shift from AI skepticism to practical adoption, highlighting how AI can significantly improve productivity when used thoughtfully. Hope you all enjoy this episode!

AI Is a Gift: Rethinking Software Engineering Education and Hiring

Zig 2026: No-AI Policy, $670K Foundation, Left GitHub & Why Zig Isn’t 1.0 - Andrew Kelley Explains

Keynote: After the AI Hype – What’s Real, and What’s Next - Richard Campbell - 2026

Ilya Sutskever – We're moving from the age of scaling to the age of research

THESE Apps Are SPYING on You — Shut Them Off NOW!

Billionaire's WARNING: I'm SELLING. The Crash Is Already Here!

The World's Most Important Machine

Creator of C++: Bell Labs, Negative Overhead Abstraction, Mistakes | Bjarne Stroustrup

The Uncomfortable Truth About AI “Reasoning” | World Science Festival

NVIDIA CEO Jensen Huang's Vision for the Future

Andrej Karpathy: From Vibe Coding to Agentic Engineering w/ Stephanie Zhan

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Author Karen Hao on Silicon Valley's “Quasi-Religious” Push for Artificial Intelligence

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The most important lesson from 83,000 brain scans | Daniel Amen | TEDxOrangeCoast

Semiotics - A Future of Observability we are yet to see with William Louth

How To Use Claude Better Than 99% Of People

Yann LeCun: World Models: Enabling the next AI revolution

