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Arvind Narayanan

๐Ÿ‘ค Speaker
607 total appearances

Appearances Over Time

Podcast Appearances

The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
20VC: AI Scaling Myths: More Compute is not the Answer | The Core Bottlenecks in AI Today: Data, Algorithms and Compute | The Future of Models: Open vs Closed, Small vs Large with Arvind Narayanan, Professor of Computer Science @ Princeton

And I don't think things are moving as quickly as I did 12 months ago.

The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
20VC: AI Scaling Myths: More Compute is not the Answer | The Core Bottlenecks in AI Today: Data, Algorithms and Compute | The Future of Models: Open vs Closed, Small vs Large with Arvind Narayanan, Professor of Computer Science @ Princeton

And I don't think things are moving as quickly as I did 12 months ago.

The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
20VC: AI Scaling Myths: More Compute is not the Answer | The Core Bottlenecks in AI Today: Data, Algorithms and Compute | The Future of Models: Open vs Closed, Small vs Large with Arvind Narayanan, Professor of Computer Science @ Princeton

Making models bigger and bigger doesn't seem to be working anymore. I think new developments have to come from different scientific ideas. Maybe it's agents, maybe it's something else.

The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
20VC: AI Scaling Myths: More Compute is not the Answer | The Core Bottlenecks in AI Today: Data, Algorithms and Compute | The Future of Models: Open vs Closed, Small vs Large with Arvind Narayanan, Professor of Computer Science @ Princeton

Making models bigger and bigger doesn't seem to be working anymore. I think new developments have to come from different scientific ideas. Maybe it's agents, maybe it's something else.

The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
20VC: AI Scaling Myths: More Compute is not the Answer | The Core Bottlenecks in AI Today: Data, Algorithms and Compute | The Future of Models: Open vs Closed, Small vs Large with Arvind Narayanan, Professor of Computer Science @ Princeton

Making models bigger and bigger doesn't seem to be working anymore. I think new developments have to come from different scientific ideas. Maybe it's agents, maybe it's something else.

The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
20VC: AI Scaling Myths: More Compute is not the Answer | The Core Bottlenecks in AI Today: Data, Algorithms and Compute | The Future of Models: Open vs Closed, Small vs Large with Arvind Narayanan, Professor of Computer Science @ Princeton

I think our intuitions are too powerfully shaped by sci-fi portrayals of AI. And I think that's really a big problem. This idea that AI can become self-aware. When we look at the way that AI is architected today, that kind of fear has no basis in reality. Maybe one day in the future, people are going to build AI systems where that becomes at least somewhat possible. And we should have...

The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
20VC: AI Scaling Myths: More Compute is not the Answer | The Core Bottlenecks in AI Today: Data, Algorithms and Compute | The Future of Models: Open vs Closed, Small vs Large with Arvind Narayanan, Professor of Computer Science @ Princeton

I think our intuitions are too powerfully shaped by sci-fi portrayals of AI. And I think that's really a big problem. This idea that AI can become self-aware. When we look at the way that AI is architected today, that kind of fear has no basis in reality. Maybe one day in the future, people are going to build AI systems where that becomes at least somewhat possible. And we should have...

The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
20VC: AI Scaling Myths: More Compute is not the Answer | The Core Bottlenecks in AI Today: Data, Algorithms and Compute | The Future of Models: Open vs Closed, Small vs Large with Arvind Narayanan, Professor of Computer Science @ Princeton

I think our intuitions are too powerfully shaped by sci-fi portrayals of AI. And I think that's really a big problem. This idea that AI can become self-aware. When we look at the way that AI is architected today, that kind of fear has no basis in reality. Maybe one day in the future, people are going to build AI systems where that becomes at least somewhat possible. And we should have...

The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
20VC: AI Scaling Myths: More Compute is not the Answer | The Core Bottlenecks in AI Today: Data, Algorithms and Compute | The Future of Models: Open vs Closed, Small vs Large with Arvind Narayanan, Professor of Computer Science @ Princeton

visibility, transparency, monitoring regulation around these systems to make sure that developers don't. But that would be a choice. That's a choice that society can make, that governments and companies can make. It's not that despite our best efforts, AI is going to become conscious and have agency and do things that are harmful to humanity.

The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
20VC: AI Scaling Myths: More Compute is not the Answer | The Core Bottlenecks in AI Today: Data, Algorithms and Compute | The Future of Models: Open vs Closed, Small vs Large with Arvind Narayanan, Professor of Computer Science @ Princeton

visibility, transparency, monitoring regulation around these systems to make sure that developers don't. But that would be a choice. That's a choice that society can make, that governments and companies can make. It's not that despite our best efforts, AI is going to become conscious and have agency and do things that are harmful to humanity.

The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
20VC: AI Scaling Myths: More Compute is not the Answer | The Core Bottlenecks in AI Today: Data, Algorithms and Compute | The Future of Models: Open vs Closed, Small vs Large with Arvind Narayanan, Professor of Computer Science @ Princeton

visibility, transparency, monitoring regulation around these systems to make sure that developers don't. But that would be a choice. That's a choice that society can make, that governments and companies can make. It's not that despite our best efforts, AI is going to become conscious and have agency and do things that are harmful to humanity.

The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
20VC: AI Scaling Myths: More Compute is not the Answer | The Core Bottlenecks in AI Today: Data, Algorithms and Compute | The Future of Models: Open vs Closed, Small vs Large with Arvind Narayanan, Professor of Computer Science @ Princeton

That whole line of fear, I think, is completely unfounded.

The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
20VC: AI Scaling Myths: More Compute is not the Answer | The Core Bottlenecks in AI Today: Data, Algorithms and Compute | The Future of Models: Open vs Closed, Small vs Large with Arvind Narayanan, Professor of Computer Science @ Princeton

That whole line of fear, I think, is completely unfounded.

The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
20VC: AI Scaling Myths: More Compute is not the Answer | The Core Bottlenecks in AI Today: Data, Algorithms and Compute | The Future of Models: Open vs Closed, Small vs Large with Arvind Narayanan, Professor of Computer Science @ Princeton

That whole line of fear, I think, is completely unfounded.

The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
20VC: AI Scaling Myths: More Compute is not the Answer | The Core Bottlenecks in AI Today: Data, Algorithms and Compute | The Future of Models: Open vs Closed, Small vs Large with Arvind Narayanan, Professor of Computer Science @ Princeton

Because the gap between benchmarks and the real world is big and it's only growing bigger. As AI becomes more useful, it's harder to figure out how useful it is based on these artificial environments.

The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
20VC: AI Scaling Myths: More Compute is not the Answer | The Core Bottlenecks in AI Today: Data, Algorithms and Compute | The Future of Models: Open vs Closed, Small vs Large with Arvind Narayanan, Professor of Computer Science @ Princeton

Because the gap between benchmarks and the real world is big and it's only growing bigger. As AI becomes more useful, it's harder to figure out how useful it is based on these artificial environments.

The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
20VC: AI Scaling Myths: More Compute is not the Answer | The Core Bottlenecks in AI Today: Data, Algorithms and Compute | The Future of Models: Open vs Closed, Small vs Large with Arvind Narayanan, Professor of Computer Science @ Princeton

Because the gap between benchmarks and the real world is big and it's only growing bigger. As AI becomes more useful, it's harder to figure out how useful it is based on these artificial environments.

The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
20VC: AI Scaling Myths: More Compute is not the Answer | The Core Bottlenecks in AI Today: Data, Algorithms and Compute | The Future of Models: Open vs Closed, Small vs Large with Arvind Narayanan, Professor of Computer Science @ Princeton

I would resign. I don't think I would be a good CEO. But if there were one thing I could change about OpenAI, I think the need for the public to know what is going on with AI development overrides the commercial interests of any company. So I think there needs to be a lot more transparency.

The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
20VC: AI Scaling Myths: More Compute is not the Answer | The Core Bottlenecks in AI Today: Data, Algorithms and Compute | The Future of Models: Open vs Closed, Small vs Large with Arvind Narayanan, Professor of Computer Science @ Princeton

I would resign. I don't think I would be a good CEO. But if there were one thing I could change about OpenAI, I think the need for the public to know what is going on with AI development overrides the commercial interests of any company. So I think there needs to be a lot more transparency.

The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
20VC: AI Scaling Myths: More Compute is not the Answer | The Core Bottlenecks in AI Today: Data, Algorithms and Compute | The Future of Models: Open vs Closed, Small vs Large with Arvind Narayanan, Professor of Computer Science @ Princeton

I would resign. I don't think I would be a good CEO. But if there were one thing I could change about OpenAI, I think the need for the public to know what is going on with AI development overrides the commercial interests of any company. So I think there needs to be a lot more transparency.