
0:00-47:13
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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:
Links:
Sponsors:
- Prediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalai
Upcoming Events:
- Register for upcoming webinars here!
- Midwest AI Summit 2026
Website
chrisbenson.comLinkedIn
linkedin.comBluesky
bsky.appGitHub
github.comX
x.comWebsite
datadan.ioGitHub
github.comX
x.comThe 2026 AI Index Report
hai.stanford.edupredictionguard.com/practicalai
predictionguard.comupcoming webinars here
practicalai.fmMidwest AI Summit 2026
midwestaisummit.com
- 0:0000:00 Welcome to Practical AI!
- 1:17Introduction to AI Trends and Updates
- 3:20AI Capability Acceleration
- 7:21US and China in AI Development
- 9:58AI Data Centers and Chip Manufacturing
- 12:02The Jagged Frontier of AI
- 16:23Robots in Household Tasks
- 20:08Responsible AI and Safety Concerns
- 24:05The Shift Towards AI Governance and Certification
- 25:08Sponsor: Prediction Guard
- 26:53Declining Global Talent in AI
- 28:51Future of AI Investment and Market Dynamics
- 30:22AI Adoption Trends Across Demographics
- 33:18The Human Element in AI Utilization
- 38:04Impact of AI on Entry-Level Employment
- 41:12Transforming Learning with AI Tools
- 43:06The Role of Education in AI Skill Development
- 45:34Key Insights from the Stanford AI Report
- 46:32See you next time!