Latent Space: The AI Engineer Podcast

Unsupervised Learning x Latent Space Crossover Special

224 snips
Mar 29, 2025
Dive into the rapid evolution of AI as experts reflect on the past year's surprises and the race between open-source and closed-source models. Explore the impact of AI builders and the rise of low-code platforms. Delve into the significance of product-market fit and customer support in AI applications. Discover the challenges of innovation and the importance of defensibility in app development. Plus, hear insights on emerging trends and the critical role of community engagement in shaping the future of technology.
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INSIGHT

Timing Shift in AI Model Scaling

  • The transition from pre-training to inference time scaling felt perfectly timed and almost planned.
  • This shift marked a fundamental change in AI model development approaches.
INSIGHT

Open Source Models Limited in Enterprises

  • Open source AI models have surprisingly low adoption in enterprises, around 5%.
  • Enterprise users tend to favor the most powerful available models regardless of licensing debates.
INSIGHT

Rapid Catch-up by DeepSeek Models

  • DeepSeek's ability to rapidly close the gap on proprietary models is surprisingly fast.
  • The value window of exclusive models is much shorter than expected, increasing competition.
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