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 30 31 32
Introduction
00:00 • 6min
Why Should We Resist the Urge to Be Impressed?
05:47 • 2min
Is It Getting Too Smart?
07:25 • 2min
Is It a Good Idea to Teach Human Values?
09:20 • 2min
Is That Artificial Intelligence?
11:50 • 4min
Artificial Intelligence, Is It Really Science Fiction?
15:23 • 2min
What Is the Reality of Text Generation Systems?
17:45 • 2min
Sign Language Lesson - I'm Getting Bear With Meno
19:37 • 2min
The Perlocutionary Con Quinces
21:35 • 2min
Is GPT Three More Complicated Than That?
23:15 • 2min
The Infinite Room With Monkeys on Typewriters
25:41 • 2min
The Difference Between GPT Three and the Monkeys
27:32 • 3min
Machine Learning
30:49 • 2min
Can You Write a Programme That Takes His Input?
33:08 • 5min
Isn't the Algorithm a Bad Idea?
37:58 • 2min
Are We Going to Design an Augarithm?
40:21 • 2min
Tocastic Parrots Are Really Intelligent, I'm Reliably Informed
42:30 • 3min
The Fire at Google - Is That Really a Good Idea?
45:32 • 2min
Is It a Stry Sand Effect?
47:13 • 3min
How to Train a Dog?
50:38 • 2min
You Are a Wizard, You See X I Z There
52:56 • 2min
Is Google Trying to Replace Search Engines?
54:55 • 2min
Is There a Source Problem?
56:39 • 2min
How to Generate a I Art Generation Ap?
58:30 • 2min
Train Data for Language Models Patent Applications
01:00:39 • 2min
Language Model Training Data
01:02:54 • 2min
Theopin Sperit - Yelp Reviews in GLS
01:04:26 • 3min
Crowd Sourcing in Chinatown
01:07:01 • 2min
Are You Identifying a Problem?
01:08:42 • 2min
I'm Solving a Problem With a Eye
01:10:43 • 3min
The Helping Problem With the Eye
01:13:24 • 2min
Emily M Bender, University of Washington
01:15:37 • 3min