2024 Recap: What We Learned About LLMs with Simon Willison

Published On Sun Jan 12 2025
2024 Recap: What We Learned About LLMs with Simon Willison

Ride Home: Simon Willison: Things we learned about LLMs in 2024

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The world’s top AI blogger and friend of every pod, Simon Willison, dropped a monster 2024 recap: Things we learned about LLMs in 2024. Brian of the excellent TechMeme Ride Home pinged us for a connection and a special crossover episode, our first in 2025.

Target Audience and Key Takeaways

The target audience for this podcast is a tech-literate, but non-technical one. You can see Simon’s notes for AI Engineers in his World’s Fair Keynote.

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Timestamp

  • 00:00 Introduction and Guest Welcome
  • 01:06 State of AI in 2025
  • 01:43 Advancements in AI Models
  • 03:59 Cost Efficiency in AI
  • 06:16 Challenges and Competition in AI
  • 17:15 AI Agents and Their Limitations
  • 26:12 Multimodal AI and Future Prospects
  • 35:29 Exploring Video Avatar Companies
  • 36:24 AI Influencers and Their Future
  • 37:12 Simplifying Content Creation with AI
  • 38:30 The Importance of Credibility in AI
  • 41:36 The Future of LLM User Interfaces
  • 48:58 Local LLMs: A Growing Interest
  • 01:07:22 AI Wearables: The Next Big Thing
  • 01:10:16 Wrapping Up and Final Thoughts

Transcript Highlights

[00:00:00] Introduction and Guest Welcome - Brian welcomes Simon Willison to the Tech Meme Write Home bonus episode for 2025. Simon is a go-to for many in the AI space.

[00:01:06] State of AI in 2025 - Simon discusses the advancements in AI models in 2024, highlighting their speed, cost efficiency, and multimodal capabilities.

[00:01:43] Advancements in AI Models - The discussion moves to the expectations of a step change in AI models in 2025 and the improvements seen in existing models.

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[00:03:59] Cost Efficiency in AI - Simon talks about the significant drop in prices of AI models, making them more accessible and efficient to run.

[00:06:16] Challenges and Competition in AI - The conversation delves into the competition driving down prices and the impact on end users in terms of cost reduction.