neural networks
also referred to as: neural network
5 statements across 4 episodes · 4 bullish · 0 bearish · 4 people on the record · first statement Apr 25, 2023 by Noam Brown · across every show →
Everything said about neural networks, oldest first
Apr 25, 2023 neutral
Nov 2, 2023 positive
Nov 2, 2023 positive
Sutskever: Early neural networks failed primarily because they were too small
“The reason neural networks of the time weren't good is because they were too small. So like if you try to solve a vision task with a neural network, which has like a thousand neurons, what can it do? It can't do anything. It doesn't matter how good your learni…”
Sep 5, 2024 positive
Karpathy: General robot platforms uniquely enable cross-task transfer learning in AI
“And then I would say also one last dimension of it is you benefit a ton from like the transfer learning between the different tasks. And in AI, you really want a single neural nut that is multitasking, doing lots of things that's very getting all the intellige…”
Jun 26, 2025 positive
Balog: Inspectable AI-generated code is safer than black-box neural networks
“It's hugely valuable that the artifact you get out of Alpha Evolve is a piece of code, and then you deploy that piece of code. And so before you do that experts, engineers who have worked on that system can visually inspect that piece of code, understand it, a…”