AI + a16z

The Future of Image Models Is Multimodal

11 snips
Jun 7, 2024
Ideogram CEO Mohammad Norouzi discusses the evolution of transformer models, diffusion models, and the impact on AI technology. He shares insights on transitioning from research to startup CEO, user-centric product development, and fostering creativity with AI in image models.
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ANECDOTE

Early AI Passion and Learning

  • Mohammad Norouzi grew up in Iran and spent his early years drawing and listening to stories.
  • He self-taught neural networks in 2007 by reading academic papers and implementing models from scratch.
INSIGHT

Diffusion vs Transformer Models

  • Diffusion models generate images by starting from noise and refining it iteratively, unlike transformers that generate token by token.
  • This iterative refinement aligns more closely with how humans create art, starting from a sketch and refining it.
ANECDOTE

The Transformer Paper's Surprising Impact

  • Mohammad discussed the release of the transformer paper with its author, Ashish Vaswani, who saw its importance immediately.
  • Nobody initially envisioned the transformer architecture would revolutionize both language and vision tasks so broadly.
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