The Gradient: Perspectives on AI

Stuart Russell: The Foundations of Artificial Intelligence

Oct 6, 2022
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1
Introduction
00:00 • 3min
2
How Did You Get Into AI?
02:45 • 3min
3
A Modern Approach to Artificial Intelligence
06:05 • 3min
4
Building a Question-Answering System, You Should Think of It as an Agent
08:47 • 5min
5
A Very Good Call Out of Deep Learning Systems
13:21 • 1min
6
The Bounded Optimality Idea in AI
14:51 • 5min
7
Is Meta Reasoning a Part of the Standard Model?
20:05 • 4min
8
Alphabeta Pruning: Which Leaf Node Should I Expand?
24:20 • 3min
9
Is Meta Reasoning the Solution to Bounded Optimism?
26:52 • 6min
10
How Do You Control Your Brain?
32:45 • 3min
11
Deep Learning Is Going to Hit a Wall
36:07 • 3min
12
The Key Idea of Classical AI
39:10 • 3min
13
How to Get the Extensive Power of First Order Logic
41:59 • 3min
14
Deep Learning Systems
45:20 • 4min
15
Is Deep Learning Still Relevant?
48:51 • 5min
16
The Model Bank Look Forward Deliberative System With an Evaluation Function
53:51 • 2min
17
The Limitations of Deep Learning
55:29 • 4min
18
Object Recognition Deep Learning
59:27 • 2min
19
The Strongest Argument Against the Long Term Perspective
01:01:40 • 3min
20
Is Misalignment a Core Problem?
01:04:36 • 6min