20VC: DeepMind's Demis Hassabis on Why AGI is Bigger than the Industrial Revolution | Why LLMs Will Not Commoditise & We Have Not Hit Scaling Laws | Bottlenecks in AI & The Energy Crisis Caused By AI | Whether AI Will Do More to Harm or Help Inequality
episode
The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
35 min
2 speakers
5 chapters
transcribed 1 month ago
Transcript
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What is the main topic discussed in this episode?
The returns are still very substantial, although they're a bit less than they were, obviously, at the start of all of this scaling. I would say about 90% of the breakthroughs that underpin the modern AI industry were done either by Google Brain or Google Research or DeepMind. Those labs that have capability to invent new algorithmic ideas are going to start having bigger advantage over the next few years. The last set of ideas are sort of all the juices being wrung out of them. And I sometimes quantify like AGI, the coming of AGI is like 10 times the industrial revolution at 10 times the speed.
This is 20VC with me, Harry Stebbings, and I'm so excited for the show today. I walked to this interview and I described it to my mother like this. We have amazing guests on the show. But very few, honestly, will be considered in the same realm as Newton, Turing, Einstein. Our guest today is one of the greatest minds on the planet. And I consider myself incredibly lucky to have had the chance to sit down with him and discuss what we did today. This is a truly special one and one that I'll remember for a very long time. Enjoy the episode. And I so appreciate the time we had with a very special human being. I'm thrilled to welcome Demis Hassabis at DeepMind. But before we dive into the show today, did you know the industry average for booking a business trip is 45 minutes?
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Chapters
5 chapters
1
What is the main topic discussed in this episode?
0:00–21:22
2
How does Demis Hassabis define AGI and how close are we to it?
21:22–27:48
3
What are the biggest bottlenecks in AI today, including compute and experimentation needs?
27:48–29:50
4
Have we hit scaling law limits for LLMs and are returns slowing?
29:50–34:04
5
Why can't current AI systems learn continuously like humans and what is continual learning?
34:04–35:48
Speakers
2 identifiedMore from The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
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