Anton Teaches Packy AI | E6 | Stable Attribution

1

Introduction

00:00 • 3min

2

Latent Diffusion Models - The Basic First Alpha Idea

02:46 • 3min

3

Seeing Things Nearly Each Other in Latent Space

06:14 • 5min

4

Encoding Decoder Models

11:09 • 2min

5

Is That Different Than What You've Just Described?

13:04 • 4min

6

Diffusion Is a Great Approach to Creating a Model That Is Human Interpretable

17:27 • 2min

7

How to Give Artists Credit for the Work That They've Done

19:55 • 2min

8

Is This Something That Open AI Has Enough GPUs to Do?

22:08 • 2min

9

Is Stable Diffusion Detectable?

24:35 • 2min

10

Detecting Watermarks in MS Paint

26:25 • 2min

11

Is This Really a Hacker News Thread?

28:51 • 2min

12

We're at Number One for Roughly 24 Hours

31:02 • 2min

13

Is There a Future for Search Engines?

33:30 • 3min

14

Is This a Derivative Work?

36:55 • 2min

15

Is There a Difference Between Spotify and Spotify?

38:55 • 2min

16

Is There a Way to Attribute Credit in the Training Set?

40:49 • 2min

17

Is There a Pot of Money That Pays the Artists?

42:53 • 2min

18

How Much Time Does It Take to Develop a Stable Attribution Algorithm?

44:49 • 2min

19

Chroma

46:41 • 3min