Factually! with Adam Conover

The Real Problem with A.I. with Emily Bender

16 snips
Jun 22, 2022
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Episode notes
1
Introduction
00:00 • 6min
2
Why Should We Resist the Urge to Be Impressed?
05:47 • 2min
3
Is It Getting Too Smart?
07:25 • 2min
4
Is It a Good Idea to Teach Human Values?
09:20 • 2min
5
Is That Artificial Intelligence?
11:50 • 4min
6
Artificial Intelligence, Is It Really Science Fiction?
15:23 • 2min
7
What Is the Reality of Text Generation Systems?
17:45 • 2min
8
Sign Language Lesson - I'm Getting Bear With Meno
19:37 • 2min
9
The Perlocutionary Con Quinces
21:35 • 2min
10
Is GPT Three More Complicated Than That?
23:15 • 2min
11
The Infinite Room With Monkeys on Typewriters
25:41 • 2min
12
The Difference Between GPT Three and the Monkeys
27:32 • 3min
13
Machine Learning
30:49 • 2min
14
Can You Write a Programme That Takes His Input?
33:08 • 5min
15
Isn't the Algorithm a Bad Idea?
37:58 • 2min
16
Are We Going to Design an Augarithm?
40:21 • 2min
17
Tocastic Parrots Are Really Intelligent, I'm Reliably Informed
42:30 • 3min
18
The Fire at Google - Is That Really a Good Idea?
45:32 • 2min
19
Is It a Stry Sand Effect?
47:13 • 3min
20
How to Train a Dog?
50:38 • 2min
21
You Are a Wizard, You See X I Z There
52:56 • 2min
22
Is Google Trying to Replace Search Engines?
54:55 • 2min
23
Is There a Source Problem?
56:39 • 2min
24
How to Generate a I Art Generation Ap?
58:30 • 2min
25
Train Data for Language Models Patent Applications
01:00:39 • 2min
26
Language Model Training Data
01:02:54 • 2min
27
Theopin Sperit - Yelp Reviews in GLS
01:04:26 • 3min
28
Crowd Sourcing in Chinatown
01:07:01 • 2min
29
Are You Identifying a Problem?
01:08:42 • 2min
30
I'm Solving a Problem With a Eye
01:10:43 • 3min
31
The Helping Problem With the Eye
01:13:24 • 2min
32
Emily M Bender, University of Washington
01:15:37 • 3min