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Keynote Panel Discussion: Signal vs. Noise: Betting on AI’s Next Wave

on YouTube 34m
Panelat PyTorch Conference 2025 · 2025-10-22..10-23· [large-language-models, startups-and-business]

speakers

name:Sarah Catanzaro
links:none on file
name:Sarah Guo
links:none on file
name:Brian Zhan
links:none on file
name:Peter Deng
links:none on file
name:Joe Spisak
website:https://www.fulfill.com

resources

video:https://youtu.be/IJPKA-l0N7Y
slides:none on file

summary

Five VCs debate concrete signals: forks over stars and founders who show grit by doing 100 customer interviews, not vanity metrics; one firm reports one in four inception-stage deals becomes a unicorn and cites Reflection’s $2B raise at an $8B valuation as a conviction bet. They test Embed grant apps with a model but find prediction loses spike events. Recommended metrics: pull request cycle time and deploys/day. Big opportunities land in tool-to-tool use and RL, while pretraining needs architectural breakthroughs like linear-attention or diffusion-for-code to stay viable.

AI-written summary · about

chapters (7)

  1. 0:00Welcome
  2. 4:00VC metrics for startups
  3. 13:33Operating experience in VC
  4. 18:30Hustler VCs in AI
  5. 24:48Frontier labs and pre-training
  6. 29:24Conviction vs trends
  7. 33:15Closing

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