AI models can win math olympiads… but still struggle to read an analog clock. In this fully connected episode, Dan and Chris break down the latest Stanford AI Index Report and explore what it reveals about the current state of AI. They discuss AI adoption and safety, disappearing junior tech jobs, robotics, AI’s “jagged frontier” of intelligence, and the growing race between the U.S. and China. Along the way, they debate whether AI should optimize everything, or if some things are better left human.  Featuring: * Chris Benson – Website [https://chrisbenson.com/], LinkedIn [https://www.linkedin.com/in/chrisbenson], Bluesky [https://bsky.app/profile/chrisbenson.bsky.social], GitHub [https://github.com/chrisbenson], X [https://x.com/chrisbenson] * Daniel Whitenack – Website [https://www.datadan.io/], GitHub [https://github.com/dwhitena], X [https://x.com/dwhitena] Links: * The 2026 AI Index Report [https://hai.stanford.edu/ai-index/2026-ai-index-report] Sponsors: * Prediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalai [https://predictionguard.com/practicalai] Upcoming Events:  * Register for upcoming webinars here [https://practicalai.fm/webinars]! * Midwest AI Summit 2026 [https://midwestaisummit.com/]