The Easy Way To Use AI To Grow Your Business - Jason Wells

built into my computer and quite frankly it'd be difficult for me to even run my business without it something that was unfathomable to me three four years ago even the whole thing is it's it's gone completely wacko what what is driving this surge i mean and i know before i stopped i know we're just at the tip of the iceberg we've just barely going here what's causing

it is accelerating even still right the the pace at which we're developing but yeah you know here's what's driving there's a couple things that are happening all at the same time that have come together at the right time one is the compute power and the um the semiconductors right the gpus the ability to produce these machines that can actually handle these kinds of trillions of computations.

And then we have unique and new methods and approaches.

In fact, it was 2017 when an article came out from a Stanford research group and a Google Stanford collab called All You Need is Attention or Attention is All You Need.

This is a research.

And this is what led us to Generative pre-trained transformers.

It was the first article that was talking about attention and transformer models.

So those types of models have come.

The compute power has come.

So those things are hitting it at the same time where now we can actually do this kind of computational power.

We've got models, consider this, that have over a trillion different models.

little tuning dials, they call them hyper parameters, a trillion.

You're running these calculations that are just so extensive.

So that's what's driving that.

But here's the other thing.

The other thing is when you make an investment, for example, in biotech or you make an investment in, um, any medical or pharmaceuticals or building materials or anything like that, that benefits that area, biotech.

When you make an investment in artificial intelligence, That is actually benefiting every other science, every other industry.

So these advancements are now benefiting widely across the board.

I think of it a lot like electricity.

Electricity benefited everyone.

It didn't matter what industry you were in.

It didn't matter if you were at home cooking or working late at night.

It didn't matter if you were in a factory.

Electricity impacted across the board.

And that's where we stand with AI right now.

built into my computer and quite frankly it'd be difficult for me to even run my business without it something that was unfathomable to me three four years ago even the whole thing is it's it's gone completely wacko what what is driving this surge i mean and i know before i stopped i know we're just at the tip of the iceberg we've just barely going here what's causing

it is accelerating even still right the the pace at which we're developing but yeah you know here's what's driving there's a couple things that are happening all at the same time that have come together at the right time one is the compute power and the um the semiconductors right the gpus the ability to produce these machines that can actually handle these kinds of trillions of computations.

And then we have unique and new methods and approaches.

In fact, it was 2017 when an article came out from a Stanford research group and a Google Stanford collab called All You Need is Attention or Attention is All You Need.

This is a research.

And this is what led us to Generative pre-trained transformers.

It was the first article that was talking about attention and transformer models.

So those types of models have come.

The compute power has come.

So those things are hitting it at the same time where now we can actually do this kind of computational power.

We've got models, consider this, that have over a trillion different models.

little tuning dials, they call them hyper parameters, a trillion.

You're running these calculations that are just so extensive.

So that's what's driving that.

But here's the other thing.

The other thing is when you make an investment, for example, in biotech or you make an investment in, um, any medical or pharmaceuticals or building materials or anything like that, that benefits that area, biotech.

When you make an investment in artificial intelligence, That is actually benefiting every other science, every other industry.

So these advancements are now benefiting widely across the board.

I think of it a lot like electricity.

Electricity benefited everyone.

It didn't matter what industry you were in.

It didn't matter if you were at home cooking or working late at night.

It didn't matter if you were in a factory.

Electricity impacted across the board.

And that's where we stand with AI right now.