Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29
Introduction
00:00 • 2min
What Are People Experiencing Next?
01:50 • 4min
Is GPT UI Really Important in AI?
06:09 • 2min
Open AI
07:41 • 2min
Is TensorFlow Taking in Really Short Blog Posts?
09:12 • 3min
Logical Calculus Ideas Imminent in Nervous Activity
12:05 • 5min
The Brain Can't Do Anything Like a Turing Machine
16:47 • 2min
Does the Brain Work Like a Turing Machine?
18:18 • 3min
Is There a Future for Machine Learning?
21:09 • 4min
Is There Anything Inherently Unexplainable About It?
25:26 • 3min
How Much Are We Going to Be Missing When We Can Get Answers Really Really Easy?
28:37 • 4min
The Future of Artificial Intelligence
32:37 • 4min
I Can't Bust This Book
37:07 • 2min
The Future of Artificial Intelligence
39:20 • 4min
AI Winter - Can You Please Translate All This Russian?
42:52 • 3min
A Single Layer Perceptron Isn't Going to Do.
45:58 • 2min
Is That Really What Were Thinking About at the Time?
48:08 • 2min
How Many of You Are Working in Computers?
50:28 • 3min
Is AI Really a Toy?
53:49 • 2min
Deep Blue Is an Expert System
55:42 • 3min
Symbolic Composition Is a New Approach to Artificial Intelligence
58:16 • 3min
The Connectionist Approach and Expert Systems in Symbolic?
01:01:06 • 2min
Digital Imaging and Its Importance
01:03:36 • 4min
The Connectionist Approach to Deep Learning
01:08:00 • 2min
Should We Do Alex Nett Next Time?
01:10:07 • 2min
The Argument That the Time Is Coming
01:11:56 • 2min
Logic and Artificial Intelligence
01:13:52 • 2min
How to Encode Truth When You Don't Know What's Necessary
01:15:50 • 2min
We'll Be Back Next Week With Whisper
01:18:01 • 2min