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31.

Notes on China – Dwarkesh Podcast

a year ago

3 points

32.

Notes on pretraining parallelisms and failed training runs

a month ago

3 points

33.

Eric Jang – Building AlphaGo from Scratch

a month ago

3 points

34.

Blog prize for big questions about AI

2 months ago

3 points

35.

Terence Tao – Kepler, Newton, and the true nature of mathematical discovery

3 months ago

throwerofways67

3 points

36.

Dylan Patel – Deep dive on the 3 big bottlenecks to scaling AI compute

3 months ago

3 points

37.

Sara Paine – Why Russia Lost the Cold War

6 months ago

3 points

38.

Why I have slightly longer timelines than some of my guests

a year ago

3 points

39.

What automated firms will look like

a year ago

3 points

40.

Satya Nadella – How Microsoft Is Preparing for AGI

7 months ago

2 points

41.

The surprising economics of the meat industry

10 months ago

2 points

42.

China's Manufacturing Dominance: State and Competition

a year ago

2 points

43.

What remains scarce after AGI?

12 days ago

2 points

44.

Reiner Pope – Chip design from the bottom up

a month ago

2 points

45.

Michael Nielsen – How science progresses

2 months ago

2 points

46.

Dwarkesh Patel Interview with Gwern

4 months ago

2 points

47.

Thinking through how pretraining vs. RL learn

7 months ago

2 points

48.

Thoughts on the AI Buildout

8 months ago

2 points

49.

Autonomous robots are much closer than you think

9 months ago

2 points

50.

What fully automated firms will look like

a year ago

2 points

51.

I don't think AGI is right around the corner

a year ago

2 points

52.

Continual Learning Is a Bottleneck

a year ago

2 points

53.

I have slightly longer timelines than some of my guests

a year ago

2 points

54.

Mark Zuckerberg – Meta's AGI Plan

a year ago

2 points

55.

Dwarkesh Questions about AI

a year ago

2 points

56.

Why I don't think AGI is right around the corner

a year ago

1 points

57.

Satya Nadella – How Microsoft Is Preparing for AGI

7 months ago

1 points

58.

Alex Imas and Phil Trammell – What Remains Scarce After AGI?

18 days ago

1 points

59.

The math behind how LLMs are trained and served

2 months ago

1 points

60.

Why Leonardo was a saboteur, Gutenberg went broke and Florence was weird [audio]

3 months ago

1 points