Chamath

That's what's, you know, gonna also kill this, like, I don't want to talk to a human, just change my flight, just You know, answer my question.

Yeah, I mean, you talk about disruption. Call centers are a very big part of the economy in certain geographies. Denver, Salt Lake, I mean, parts of Florida. Yeah, exactly. It's a really big deal. If like half the cost gets ripped out of those call centers.

Yeah, I mean, you talk about disruption. Call centers are a very big part of the economy in certain geographies. Denver, Salt Lake, I mean, parts of Florida. Yeah, exactly. It's a really big deal. If like half the cost gets ripped out of those call centers.

Where would you move those people?

Where would you move those people?

If you had your choice, could they move to sales? Well, I think sales will be the one that's disrupted after customer support. But I don't know. I think it's going to be very disruptive. One of the reasons I think this is, in the early days of LLMs, people were saying that legal services would be disrupted. And you saw some very highly valued startups rocketing up based on that.

If you had your choice, could they move to sales? Well, I think sales will be the one that's disrupted after customer support. But I don't know. I think it's going to be very disruptive. One of the reasons I think this is, in the early days of LLMs, people were saying that legal services would be disrupted. And you saw some very highly valued startups rocketing up based on that.

I think the problem with that is the error rate. So when you think about AI applications, you have to think about what is the tolerable error rate that the industry will allow? Because we know that AIs get things wrong, they can hallucinate. And you're never going to be able to make it perfect. I mean, you can improve the quality, but it's still going to have some errors.

I think the problem with that is the error rate. So when you think about AI applications, you have to think about what is the tolerable error rate that the industry will allow? Because we know that AIs get things wrong, they can hallucinate. And you're never going to be able to make it perfect. I mean, you can improve the quality, but it's still going to have some errors.

And when you're dealing with like legal services, for example, you just can't have mistakes. This is not tolerated. However, customer support is different. Customer support is already organized into levels. Level one, level two, level three, based on difficulty. And there's already, in a sense, a mechanism for failover.

And when you're dealing with like legal services, for example, you just can't have mistakes. This is not tolerated. However, customer support is different. Customer support is already organized into levels. Level one, level two, level three, based on difficulty. And there's already, in a sense, a mechanism for failover.

If like the level one customer support person can't answer the question, they kick it up to level two. So... There's a place for... LLMs to start in customer support, which is replacing all the level one and then working their way up the chain to level two as they get better and better.

If like the level one customer support person can't answer the question, they kick it up to level two. So... There's a place for... LLMs to start in customer support, which is replacing all the level one and then working their way up the chain to level two as they get better and better.

And so what I'm saying is that the level of accuracy now, especially with the new PhD level reasoning models is good enough. We don't need to wait for like some perfect LLM model. And I think this is why this is going to be a big, big disruption. Millions of people potentially are going to have their jobs disrupted or at least transformed.

And so what I'm saying is that the level of accuracy now, especially with the new PhD level reasoning models is good enough. We don't need to wait for like some perfect LLM model. And I think this is why this is going to be a big, big disruption. Millions of people potentially are going to have their jobs disrupted or at least transformed.

Well, it could be the end of the entire career as well, Chamath, if you were to look at this four by four sort of quadrant chart that Sachs is describing, which is the cost of an era, you know, and the actual complexity of the job, perhaps, or the cost of the job. How do you look at this? I know you're working on software that kind of does this with your startup as well.

Well, it could be the end of the entire career as well, Chamath, if you were to look at this four by four sort of quadrant chart that Sachs is describing, which is the cost of an era, you know, and the actual complexity of the job, perhaps, or the cost of the job. How do you look at this? I know you're working on software that kind of does this with your startup as well.

Yeah.

Yeah.

It's really... Have you guys worked with the O1 preview yet? I just literally have been using this new reasoning engine that... OpenAI released, and it is extraordinary. And it's kind of thinking about the next three or four prompts you would do. And I literally just got this while we're on the show. I've hit the limit for my paid account because this thing is so intense on compute, I guess.