to be the voice of reason here? How do you see this playing out?

Sure.

I'll be the voice of reason because I'm really depressed now.

And I got to say, this is a fine kettle of fish that we are caught in here.

And Yvette, I think you framed it up at the beginning and we haven't gotten back to it when you're talking about the one point whatever trillion dollars.

And then move on to the deal between Meta and Amazon that became a no deal and everything because folks, oh my God.

I feel like the subtext to a lot of this discussion is we're waiting for these tech titans and big companies and everything to work.

like

So are we about to get some level of transparency here?

No, but the, the, the, I think that, that, you know, what, started out as seeing something totally new and different, namely AI.

Even though I think we all knew at the beginning the I was, the intelligence part was kind of a fake out, but just saying that this was something new and different.

What we're seeing more and more is that actually AI is the same as all of these waves, including the internet, including social media, social networking, just a whole hell of a lot faster.

And, you know, it's interesting that you mentioned social media because I was thinking about Section 230, which really does not apply here, does it? So responsibility for the actions of these technologies, whatever label you put on them, is on the companies producing them, the boards of directors, the leaders, and so forth.

And Tom, it's really good to hear you slam Sam Altman and OpenAI.

I slammed OpenAI about two and a half years ago before the Altman kerfuffle and everything.

Guy, what do you think? Is the math wrong?

Tell us, you don't really need too much AI, right?

Right.

We all don't need too much AI.

And I think there's two or three angles to this, any one of which we can talk about.

The first one is, to your point, Stephen, AI is inescapable.

But does that mean it needs to be everywhere? Do I really need to ask an AI bot where I should go shopping for shoes? Maybe it'll be helpful, but Maybe not.

So the frequency with which we use it, that's one angle.

Ultimately, while we talk about AI taking over the world and making us extinct and everything else, it's our own humanity that's going to let us use this the best way possible.

Tell us a little bit about the leap of faith that we as society have taken.

Well, I think it's very understandable.

Let's start with that.

When I first encountered the current wave of AI, that would be the large language models, late 2022, the famous ChatGPT 3.5 release by OpenAI, it was clear and obvious that this was something that could be helpful, helpful to me, helpful to my company.

You type in, you know, just something in plain language and you get out something that at least looks really helpful.

And I think that the models as they have matured and, you know, the harnesses and the services and everything as they have matured and the agents that have been built, that has shown itself again and again and again.

There's two parts to this, though, that make it leap of faith that has resulted in what a recent report from Bain counted as $1.5 trillion globally being invested in AI.

Guy, did I get too political? Yeah.

And so I think that tension between what we would like AI to do and the things that we would like to opt into, as opposed to what we don't want AI to do and the things that we may want to opt out of and may not be able to, that tension is at the center of pretty much every new discussion that we have about emerging features in AI.

Well, I think that's a terrific perspective, Olivier, and I think there's a question in your, let's say, soliloquy about the situation we're in, the question that you are asking without asking.

which is how the heck do these things come into existence in the first place? Why are we getting the features we didn't ask for, as you put it? And I think that's actually a really critical question when it comes to AI, because you know where they come from? Well, they come from human beings, but they also come from human beings using AI.

Say you're a product manager at Apple and you're thinking about, oh, AI's coming and I don't know what my job's going to look like and all these other sort of things.

I better come up with some great ideas for the boss.

Go and say, those are great ideas.

What am I going to do? I'm going to say to AI, here's my product.

And it's a mistake and it's a dangerous path.