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Mark Blyth

๐Ÿ‘ค Speaker
435 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

If you were, as you said at the beginning about kind of your work on policy, you have US regulators and European regulators, what would you put forward as the most proactive and effective policy for US and European regulation around AI and models?

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

If you were, as you said at the beginning about kind of your work on policy, you have US regulators and European regulators, what would you put forward as the most proactive and effective policy for US and European regulation around AI and models?

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

When I had Ethan Mollick on from Wharton, he was like, you know, the best thing to do actually is like a allow and watch a policy. He had a much more academic approach to it in terms of naming than that with, you know, wonderful principle from some ancient learning professor.

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

When I had Ethan Mollick on from Wharton, he was like, you know, the best thing to do actually is like a allow and watch a policy. He had a much more academic approach to it in terms of naming than that with, you know, wonderful principle from some ancient learning professor.

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

When I had Ethan Mollick on from Wharton, he was like, you know, the best thing to do actually is like a allow and watch a policy. He had a much more academic approach to it in terms of naming than that with, you know, wonderful principle from some ancient learning professor.

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

But he said essentially we should let everything flourish and then regulate from there rather than proactively regulate ahead of time, not knowing outcomes. Does that ring true to you?

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

But he said essentially we should let everything flourish and then regulate from there rather than proactively regulate ahead of time, not knowing outcomes. Does that ring true to you?

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

But he said essentially we should let everything flourish and then regulate from there rather than proactively regulate ahead of time, not knowing outcomes. Does that ring true to you?

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

Just on the verification side there, and kind of you said about the deep fakes, I think it was Syash said on Twitter recently with a great highlighting that the biggest danger of AI to him was actually not that we would believe fake news. It was that we would start to distrust and not believe real news.

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

Just on the verification side there, and kind of you said about the deep fakes, I think it was Syash said on Twitter recently with a great highlighting that the biggest danger of AI to him was actually not that we would believe fake news. It was that we would start to distrust and not believe real news.

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

Just on the verification side there, and kind of you said about the deep fakes, I think it was Syash said on Twitter recently with a great highlighting that the biggest danger of AI to him was actually not that we would believe fake news. It was that we would start to distrust and not believe real news.

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

How are you not skeptical that that's a real danger? We're a media company. We have amazing media people who use AI every day. We could create some terrible things with AI today, people would believe.

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

How are you not skeptical that that's a real danger? We're a media company. We have amazing media people who use AI every day. We could create some terrible things with AI today, people would believe.

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

How are you not skeptical that that's a real danger? We're a media company. We have amazing media people who use AI every day. We could create some terrible things with AI today, people would believe.

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

We could not have created Trump fakes with his voice declaring war on China. I could do a fake show with Trump today and release it and pretend that it's real and have him declare war on China.

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

We could not have created Trump fakes with his voice declaring war on China. I could do a fake show with Trump today and release it and pretend that it's real and have him declare war on China.

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

We could not have created Trump fakes with his voice declaring war on China. I could do a fake show with Trump today and release it and pretend that it's real and have him declare war on China.

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

Do we not see then in that world that actually a lot more value accrues to significant mainstream media outlets who are verified and have brand validity already?

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

Do we not see then in that world that actually a lot more value accrues to significant mainstream media outlets who are verified and have brand validity already?

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

Do we not see then in that world that actually a lot more value accrues to significant mainstream media outlets who are verified and have brand validity already?