Follow Up

• Duperheroes!
  
• I Previewed These Emotion-Tracking Smart Glasses, and They Seem Weirdly Useful
  
• Someone Built an Ad Blocker for Real Life, and I Can't Wait to Try It
  
• 'Positive review only': Researchers hide AI prompts in papers
  
• Someone trapped an LLM on inferior hardware and infused it with existential dread for the sake of art, and it's terrifying
  
  • Guggenheim: Can’t Help Myself

Cutting Room Floor

• Photographs From Amundsen’s South Pole Expedition – 1910-1912
  
• The Museum of Soviet Arcade Games features The Giant Turnip, based on an old Russian folklore tale. Players are scored on how far they can pull the lever out of the machine.

• Moen’s lifetime warranty
  
• Gemini multimodal!
• When We Cease to Understand the World by Benjamín Labatut
  
  • Einstein’s Dreams by Alan Lightman
    
• Chatbots, Like the Rest of Us, Just Want to Be Loved
  
• D&G Blade Runner Home Edition: Human or Not?
  
• How nice that state-of-the-art LLMs reveal their reasoning ... for miscreants to exploit
  
• Emergent Misalignment: Researchers trained AI models to write flawed code—and they began supporting the Nazis and advocating for AI to enslave humans

Cutting Room Floor

• Stunting with Reinforcement Learning
  
• There’s a Vape With a Tamagotchi Inside It That Dies If You Stop Puffing
  
• A Two-Player Arcade Machine in a Briefcase

Listeners will learn:

What “large action models” (LAMs) are, and how they differ from large language models
How AI agents are already reducing friction in Salesforce and Slack
Why AI success depends on access to high-quality, actionable data
What’s driving the shift toward small language models and what that means for secure, on-device AI
Why “agent-washing” is the new “AI-washing”—and how to spot it
What makes a truly impactful agent vs. a glorified chatbot
Dave’s favorite sci-fi robot, a monkey’s paw superpower wish, and what tech breakthrough he thinks is coming next

Key Topics:

[00:00] Intro & Dave’s blog: “5 AI Predictions for 2025”
[03:00] What’s an AI agent? Why they’re different from GenAI
[07:30] Real-world examples from Salesforce: Agentforce in action
[14:00] The importance of APIs for agent success
[15:45] Government use cases & security considerations
[18:00] Internal AI agents that reduce toil (meeting schedulers, IT help, expense reports)
[22:00] Cylon references & the power of digital labor in public sector
[29:00] Small Language Models: Why smaller might be better
[36:00] LLM Routers explained
[38:00] Fun Tech Talk Q&A (Superpowers, overhyped trends, sci-fi names)

Resources Mentioned:

📖 Dave's Blog: 5 AI Predictions for 2025: Opportunities Tech Leaders Must Seize This Year
💡 Trailhead Learning Platform from Salesforce: Learn to build your own agent
🤖 Help.Salesforce.com – Try Agentforce
📺 Forbidden Planet (Robby the Robot)
🐒 Monkey’s Paw story reference

Special Guest: Carolyn Ford.