the next thing they're

doing.

But it's worse than that.

Because not only are we context switching between customers, the sales stack is 15 to 30 tools.

So to get the basic information that people are trying to do to do their job, they're going into 15 to 30 tools and context switching there.

It's no wonder people get superficial things from sales.

So our job, and the first thing we do is to get rid of all of that.

should they start? What is the beginning of that journey for them to help them start this shift?

Mm-hmm.

Things have only gotten better for us.

But it does mean you have to change your skill set.

And I think where AI is a bit different is it's not about becoming an expert in a, in a particular topic or an expert in a narrow field.

That has been probably the last 100 years of special- specialization, um, that have really dominated the way companies and organizations generally operate.

This is a bit different.

I would argue that what makes AI sometimes challenging for people to transition to is that it's a very first principles approach to the world.

Mm-hmm.

Can we take a step back and unpack that for the audience? What are these different models? How do they compare against each other?

For your audience, you've been told by everybody that AGI, this, this, this amazing artificial general intelligence, will do everything.

That is not where we are at today.

What we have are what's called narrow intelligence.

We have expertise.

So each model only becomes good at a narrow field that it's been trained on.

Words and images can give you the illusion that these things are better at things, so I'll give an example.

And one of the things these big corporations are also saying is that, "Why should we pay millions of dollars for these models and at the same time also train them with our proprietary data and basically lose our competitive advantage?"