neural networks

3 statements across 3 episodes · 1 bullish · 0 bearish · 3 people on the record · first statement Sep 14, 2016 by Ryan Sarver · across every show →

Everything said about neural networks, oldest first

Sep 14, 2016 neutral

Insight

Sarver: Neural networks create compounding data network effects for incumbents

“Currently based on how neural networks work, that they require large data sets to be able to improve their models over time. And so therefore people with large data advantages can have better models, which then lead to better end products, which bring in more …”

Ryan Sarver Sep 14, 2016 ▶ 17:29 20VC: Do VC's Really Hustle Enough? The Takeaways From Watching Twitter Scale From 30 to 2,500 & Why Chris Sacca Is Like Yoda with Ryan Sarver, Partner @ Redpoint

Aug 31, 2023

Assertion Not checkable as stated

Shazeer: Neural Networks Were Rebranded as Deep Learning Due to Hardware Limits

“Neural networks had a bad name cause the hardware wasn't good enough.”

Noam Shazeer Aug 31, 2023 ▶ 13:54 Noam Shazeer: How We Spent $2M to Train a Single AI Model and Grew Character.ai to 20M Users | E1055 · 20VC with Harry Stebbings

Nov 3, 2025 bullish

Disclosure

Pineau admits she was wrong to be skeptical of neural networks

“I used to be quite skeptical that neural networks were necessarily the ultimate A solution to machine learning. I seem to be quite wrong on this one.”

Joelle Pineau Nov 3, 2025 ▶ 0:21 Cohere's Chief AI Officer, Joelle Pineau: Why Scaling Laws Will Continue & Future of Synthetic Data · 20VC with Harry Stebbings

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neural networks

Everything said about neural networks, oldest first

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