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a16z Podcast

Securing the Black Box: OpenAI, Anthropic, and GDM Discuss

a16z Podcast

a16z

Science, Innovation, Business, Entrepreneurship, Culture, Disruption, Software Eating The World, Technology

4.41.1K Ratings

🗓️ 6 May 2024

⏱️ 60 minutes

🧾️ Download transcript

Summary

Human nature fears the unknown, and with the rapid progress of AI, concerns naturally arise. Uncanny robocalls, data breaches, and misinformation floods are among the worries. But what about security in the era of large language models? In this episode, we hear from security leaders at OpenAI, Anthropic, and Google DeepMind. Matt Knight, Head of Security at OpenAI, Jason Clinton, CISO at Anthropic, and Vijay Bolina, CISO at Google DeepMind, are joined by Joel de la Garza, operating partner at a16z and former chief security officer at Box and Citigroup. Together, they explore how large language models impact security, including changes in offense and defense strategies, misuse by nation-state actors, prompt engineering, and more. In this changing environment, how do LLMs transform security dynamics? Let's uncover the answers.

Transcript

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0:00.0

You can't do the next big thing, again train the next big model unless the security controls are in place.

0:07.0

For consumers, I cannot overstate the pace of innovation in the space right now.

0:13.0

Every CIO, every CTO, every VPM we talk to has a project where they're using large language

0:18.5

models internally.

0:19.5

Are we building or buying the model?

0:22.1

And if we're building the model,

0:23.3

you should maybe think about, well, where's your data coming from

0:25.9

and who's touching it?

0:27.6

Most folks are shocked to see

0:29.1

is images that have completely invisible pixels

0:32.3

that the human eye cannot see.

0:34.1

But the model can because it's trained on RGB values.

0:37.0

So if you just hide some text

0:39.5

in what looks like a completely benign document.

0:43.0

Users turning access into knowledge isn't the buck.

0:47.0

Wouldn't you as a business want them having all of that knowledge in context?

0:52.0

That's a huge opportunity for

0:54.4

enabling employees and workers of companies to be more productive and more efficient.

0:58.6

I am not an excitable person, I am a security nerd through and through, and if I'm this excited, then you can kind of imagine it's going to happen.

1:07.0

It's human nature to fear the unknown.

1:10.0

So it should be no surprise that a technology moving as quickly as the frontier of AI drums up its fair share of fear

1:18.0

fears of uncanny robocalls, exponential data breaches, or flooding the zone with misinformation.

...

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