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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

Overview

Shownote

Highlights

Transcript

Chapters

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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

The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch

Apr 07
The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch

The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch

Apr 07
OverviewShownoteHighlightsTranscriptChaptersPins

Shownote

Demis Hassabis is the Co-Founder & CEO of Google DeepMind - working on AGI, responsible for AI breakthroughs such as AlphaGo, the first program to beat the world champion at the game of Go; and AlphaFold, which cracked the 50-year grand challenge of protein structure prediction and was recognised with the 2024 Nobel Prize in Chemistry. Demis is revolutionising drug discovery at Isomorphic Labs. Ultimately, trying to understand the fundamental nature of reality. AGENDA: 00:04:00 — What Actually Counts as AGI; and Where Are We Today? 00:05:00 — What Are the Biggest Bottlenecks Holding AI Back Today? 00:06:00 — Have We Hit the Limits of Scaling Laws? 00:07:00 — Where Is AI Ahead of Expectations; and What's Still Missing? 00:07:30 — Why Can't AI Systems Learn Continuously Like Humans? 00:08:30 — How Did DeepMind Go from Behind to Leading the Pack? 00:11:00 — Are We Heading Toward Model Commoditization; or Winner-Takes-All? 00:12:00 — What Does the Future of Open Source Really Look Like? 00:13:00 — What Does a Post LLM World Look Like? 00:14:45 — Can AI Really Fix Drug Discovery—and Cut the 10-Year Timeline? 00:17:00 — What Does "Good" AI Regulation Actually Look Like? 00:18:00 — Who Should Be the Ultimate Arbiter of Truth in an AI World? 00:19:30 — If Demis Had One Shot to Fix AI Safety, What Would He Do? 00:21:00 — Is This Time Different for Jobs; or Will History Repeat Itself? 00:22:00 — Is AGI Bigger Than the Industrial Revolution; and Faster? 00:23:00 — Are We Underestimating AI Despite All the Hype? 00:23:30 — Does AI Lead to Massive Inequality; or Universal Prosperity? 00:24:30 — How Do We Solve the Energy Crisis Created by AI? 00:26:00 — Why Stay in the UK Instead of Moving to Silicon Valley? 00:28:00 — Will Europe Ever Build a Trillion-Dollar Tech Giant? 00:29:30 — Meeting Elon Musk for the First Time? 00:31:00 — What Big Questions About AI Is No One Talking About? 00:31:30 — What Does Demis Want His Legacy to Be?

Highlights

In this insightful conversation, Demis Hassabis—co-founder and CEO of Google DeepMind—offers a candid, forward-looking perspective on the state and trajectory of artificial intelligence, grounded in decades of pioneering research and real-world impact.
00:00
90% of modern AI industry breakthroughs were by Google Brain, Google Research, or DeepMind
04:05
The human brain is the only known proof of general intelligence
05:01
There's a good chance of AGI emerging within the next five years
06:00
Compute is the biggest bottleneck for scaling AI systems and conducting experiments
07:07
Frontier labs are getting good returns from compute expansion, and the returns are still substantial, though less than at the start of scaling.
07:36
Continuous learning is still lacking in current AI systems
08:30
DeepMind's rapid progress stems from organizational changes, combining talent and resources, and a startup-like focus
11:06
General intelligence shouldn't have 'jagged' performance
12:02
Labs with the ability to invent new algorithmic ideas will have an advantage in the next few years as existing ideas are exhausted
13:03
Foundation models won't be replaced but built upon—they're successful and here to stay.
14:47
The real revolution will come when several AI drugs pass the whole process, allowing regulators to trust model predictions and potentially skip animal testing
17:01
The right regulation could set minimum standards for leading AI providers
18:01
AI systems must be certified to prevent deception and ensure authenticity of information
19:34
Preventing AI from outputting non-human-readable tokens is a key safeguard proposed by the international AI Safety Agency
21:05
Independent testing and auditing of powerful AI systems is essential to build public confidence
22:06
AGI will be 10 times the industrial revolution in scale and speed
23:06
We question if we overestimate short-term and underestimate long-term AI progress, or if it's coming faster than expected
23:30
AI is currently overhyped in the short term but underappreciated in the long term (about 10 years)
24:30
AI will pay for itself by optimizing infrastructure, modeling climate and weather, and enabling new technologies like fusion
26:09
Fusion energy could help with climate, environment, and space exploration
28:02
Unlocking pension fund investments is critical to scale European tech companies beyond the startup phase
29:33
They hit it off due to shared ambition and love for sci-fi
31:00
Building a general-purpose drug design platform at Isomorphic applicable to any therapeutic area
31:32
The interviewee's desired legacy is advancing science and curing diseases

Chapters

AI Breakthroughs Are Dominated by Google Labs
00:00
What Actually Counts as AGI; and Where Are We Today?
04:00
What Are the Biggest Bottlenecks Holding AI Back Today?
05:00
Have We Hit the Limits of Scaling Laws?
06:00
Where Is AI Ahead of Expectations; and What's Still Missing?
07:00
Why Can't AI Systems Learn Continuously Like Humans?
07:30
How Did DeepMind Go from Behind to Leading the Pack?
08:30
Are We Heading Toward Model Commoditization; or Winner-Takes-All?
11:00
What Does the Future of Open Source Really Look Like?
12:00
What Does a Post LLM World Look Like?
13:00
Can AI Really Fix Drug Discovery—and Cut the 10-Year Timeline?
14:45
What Does "Good" AI Regulation Actually Look Like?
17:00
Who Should Be the Ultimate Arbiter of Truth in an AI World?
18:00
If Demis Had One Shot to Fix AI Safety, What Would He Do?
19:30
Is This Time Different for Jobs; or Will History Repeat Itself?
21:00
Is AGI Bigger Than the Industrial Revolution; and Faster?
22:00
Are We Underestimating AI Despite All the Hype?
23:00
Does AI Lead to Massive Inequality; or Universal Prosperity?
23:30
How Do We Solve the Energy Crisis Created by AI?
24:30
Why Stay in the UK Instead of Moving to Silicon Valley?
26:00
Will Europe Ever Build a Trillion-Dollar Tech Giant?
28:00
Meeting Elon Musk for the First Time?
29:30
What Big Questions About AI Is No One Talking About?
31:00
What Does Demis Want His Legacy to Be?
31:30

Transcript

Demis Hassabis: 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 Bra...