AI’s Next Frontier: World Models Explained by Christian Keller

Christian Keller from Meta’s Superintelligence Lab joins Henrik and Jeremy to unpack how multimodal data helps AI understand context and change. They also explore how AI accelerates research, shifts workflows, and unlocks new possibilities through experimentation.

Key takeaways:
Text is compressed information
Text carries meaning but loses detail and temporality; images and video add back richer signals.
World models capture change
Video introduces before/after context, movement, and causality that deepen a model’s understanding.
AI supports AI development
Models help generate data, assess outputs, and accelerate experimentation.
Workflows shift with AI in early stages
Prototyping, debugging, and exploration evolve when AI assists the first steps of the process.

LinkedIn:   / kellerchristian  

00:00 Intro: Information Compression
00:37 Meet Christian Keller: AI Expert
01:13 The Evolution of AI Products
02:11 Impact of ChatGPT on AI Development
02:38 Understanding PyTorch and Its Role
07:41 The Bitter Lesson in AI
09:12 Challenges and Future of AI Models
18:57 Using AI to Build AI
23:25 Innovative Chat Interfaces
23:41 Building the Autos Platform
24:35 Epiphanies in AI Integration
25:18 AI in Entrepreneurial Workflows
26:32 Challenges in AI Integration
31:15 Bias in AI Models
38:06 Debrief

For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:

Henrik:   / werdelin  
Jeremy:   / jeremyutley  

Show edited by Emma Cecilie Jensen.