About rubik cube results of 984

Relevance
Michael Bierut: "How to use graphic design" | Talks at Google48:50

Michael Bierut: "How to use graphic design" | Talks at Google

137
A2
Star Trek - Horizon: Full Film102:36

Star Trek - Horizon: Full Film

82
B1
Kelly LeVeque: "Body Love and Life in Balance" | Talks at Google44:52

Kelly LeVeque: "Body Love and Life in Balance" | Talks at Google

85
B1
David Chang: "Momofuku" | Chefs at Google55:22

David Chang: "Momofuku" | Chefs at Google

115
A2
GOTO 2016 • Exploring Swift Memory Layout • Mike Ash57:18

GOTO 2016 • Exploring Swift Memory Layout • Mike Ash

88
B1
Chemical Curiosities: Surprising Science and Dramatic Demonstrations69:43

Chemical Curiosities: Surprising Science and Dramatic Demonstrations

140
B1
SNAKE FROM SCRATCH (PART 2) - CS50 on Twitch, EP. 3171:07

SNAKE FROM SCRATCH (PART 2) - CS50 on Twitch, EP. 3

1
B1
Justice Albie Sachs lecture (UCL)83:03

Justice Albie Sachs lecture (UCL)

125
B1
The Science of Good Taste -- Geology, Wine and Food62:12

The Science of Good Taste -- Geology, Wine and Food

138
B1
Cake for Dinner - Japanese Strawberry Cakes57:45

Cake for Dinner - Japanese Strawberry Cakes

12
B1
Pedro Domingos: "The Master Algorithm" | Talks at Google60:47

Pedro Domingos: "The Master Algorithm" | Talks at Google

201
B1
HANGMAN FROM SCRATCH - CS50 on Twitch, EP. 24151:33

HANGMAN FROM SCRATCH - CS50 on Twitch, EP. 24

10
A2
2017 Maps of Meaning 02: Marionettes & Individuals (Part 1)143:34

2017 Maps of Meaning 02: Marionettes & Individuals (Part 1)

17
B1
Book 03 - The Hunchback of Notre Dame Audiobook by Victor Hugo (Chs 1-2)89:03

Book 03 - The Hunchback of Notre Dame Audiobook by Victor Hugo (Chs 1-2)

206
B2
21. Tuning a TSP Algorithm80:53

21. Tuning a TSP Algorithm

5
B1
2. Bentley Rules for Optimizing Work80:10

2. Bentley Rules for Optimizing Work

2
B1
13. Practical Radiation Counting Experiments94:18

13. Practical Radiation Counting Experiments

3
B1
Frontiers in Machine Learning: Big Ideas in Causality and Machine Learning95:59

Frontiers in Machine Learning: Big Ideas in Causality and Machine Learning

17
B1