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Mark Blyth

πŸ‘€ Speaker
309 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

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

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

Does that worry you? Like, I understand, but sadly, I don't think people are always as smart as we give them credit for. And when you look at the spread of misinformation, and when you look at the willingness to accept misinformation from large swathes of the population, A tweet with an AI-generated picture with whatever it could be in there can create such societal damage.

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

This is really worrying.

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

You said there about kind of confirming existing beliefs. Does that distinction matter though? Because actually you could have someone who is naturally, you know, we've had riots in the UK in recent, in the last few weeks.

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 actually you could have AI generated images with many more migrants or many more rioters than there actually are with the incitement that you should join because this is happening. And the confirmation material, which is that AI-generated material, leads to action to take place. It doesn't actually matter. The point is it incites action.

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

So are social media companies, aka the distribution platforms, are they the arbiters of justice on what is a malicious AI image versus what isn't?

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 feel like I worry more about this than you on the content misinformation side. And so I'm intrigued on the concerns that you have. What would you say is a more pressing concern for 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

One thing I think we're just so far off on, Arvind, is medical doctors. Everyone's like, you're going to have a GP in your pocket with AI. Are you high? GPs feel your elbow. They look at x-rays, look inside your ear and see very specific things. They look up your nose. You're not going to shove your smartphone up your nostril. You know, it can't feel your arm.

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

Can you help me understand why I'm wrong and why AI will revolutionize medical with a GP in everyone's pocket?

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'm glad that I'm not alone in my skepticism there. Because applied to education, again, everyone says it's amazing you have a tutor in your pocket. Yeah. We do also have your videos that we can watch at home. A tutor has personal relationships. It's one-to-one where I want to impress you of, and I have that personal desire to fulfill abilities, potentials that doesn't 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

How do you think AI impacts the future of education, one-on-one tuition, and that up-leveling of students?

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 you think people dramatically overestimate the fear of job replacement? We always see job replacement with any new technology and then it tends to create a lot more jobs than it previously were. Do you think that is the case here or do you think job replacement fears are justified?

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

Another one that does worry me is actually defense. We had Alex Wang from ScaleOn I mentioned earlier. He said that AI has the potential to be a bigger weapon than nuclear weapons. How do you think about that? And if that is the case, should we really have open 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

Arvind, what did you believe about the developments that we've seen in AI over the last two years that you now no longer 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

And the reasons for that lack of progression, sorry.

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

What do you think society's biggest misconception of AI is today?

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'd love to do a quick fire round. I could talk to you all day, but I'd love to give you a quick fire round. So I say a short statement, you give me your immediate thoughts. Does that sound okay? Let's do it. Why are AI leaderboards no longer useful?