neural networks

also referred to as: neural network

7 statements across 7 episodes · 2 bullish · 3 bearish · 7 people on the record · first statement Jul 15, 2017 by Frank Chen · across every show →

Everything said about neural networks, oldest first

Jul 15, 2017
Insight
Frank Chen: Scale is the primary driver of modern neural network breakthroughs
“And so if you ask the question, gee, why are people so excited about neural networks when we've been working on this since the 19 forties, the answer is scale.”
Frank Chen Jul 15, 2017 ▶ 26:28 AI, Deep Learning, and Machine Learning: A Primer
Jan 2, 2019
Assertion Partly supported
Sinofsky: Neural network theory dates back to the 1956 Dartmouth AI Conference
“Neural networks aren't new. In fact, they're actually, if you go back and read the 1956 Dartmouth Summer AI Conference, they're actually mentioned in there as one of the first things that that group of people who basically invented the field. This is like Marv…”
Steven Sinofsky Jan 2, 2019 ▶ 12:32 a16z Podcast | The Dream of AI Is Alive in Go
Jan 2, 2019 negative
Assertion Contradicted
Collison: Bank credit card fraud models rely on 1960s-era neural networks
“And if you look at how the fraud systems that actually back your credit card work today, what happens is, you know, so you have a chaser bank for America or whatever credit card. And there's a set of neural networks that were trained and you're like, oh, cool.…”
John Collison Jan 2, 2019 ▶ 16:41 a16z Podcast | The Evolution of Payments
Jan 9, 2023 bearish
Opinion
Andreessen: Scaling neural networks will not automatically lead to AGI
“I'm a little less convinced that the tech, software technologies we have now are, like, on some linear path towards just, like, quote, unquote, AGI, or just, quote, unquote, like, consciousness, like, I don't, It's hard for me to believe that consciousness is …”
Marc Andreessen Jan 9, 2023 ▶ 5:18 Expert AI as a Healthcare Superpower
Dec 16, 2023 bullish
Prediction Not checkable as stated
Lai: Future game worlds will be generated at runtime by neural networks
“And in the game worlds themselves can no longer, will no longer be rendered, but actually generated at runtime using neural networks.”
Jonathan Lai Dec 16, 2023 ▶ 2:50 2024 Big Ideas: AI-First Games That Never End with Jonathan Lai
Dec 23, 2023 positive
Assertion Supported
Midha: Researchers can now decompose neural networks into interpretable features
“The breakthrough here was that now we've learned how to decompose a neural network into these Interpretable features when previous approaches focused on interpreting single neurons.”
Anjney Midha Dec 23, 2023 ▶ 6:32 Big Ideas 2024: AI Interpretability: From Black Box to Clear Box with Anjney Midha
Dec 8, 2025 negative
Insight
Rao: Deterministic digital silicon is ill-suited for stochastic neural networks
“A neural network is actually a stochastic machine, and so why are we using the substrate that is highly precise and deterministic? For something that's actually stochastic and distributed in nature.”
Naveen Rao Dec 8, 2025 ▶ 9:04 The Chip That Could Unlock AGI.
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