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but there's no better time
than the present to jump in.
You have to get moving.
There's no miracle cure that
just wait another two years
and we'll all be done for you.
Until you go and do an AI project,
you don't understand what
it takes to do an AI project.
It's just theoretical.
As I say, I could always
tell within about 15 seconds
of starting a conversation with anyone,
whether they've really done an AI project
or just talked about
it and written about it
in a theoretical sense.
There's no substitute for doing.
You learn so much.
You learn about acquisition.
You learn about data
management pipelines.
You learn about
intellectual property protections.
It's all theoretical until you do it.
So there's no time
better than the present
because the president has
said, go out and do this.
As a government, we have to embrace this.
We have to embrace it
for our own reasons.
National security, economic
power, AI is gonna be important.
Now throw into the fact
that we have an adversary
who says clearly their intent to move
much faster with AI.
We even have less of a choice.
You have to do this for all the reasons
that we would do it anyway,
but maybe now a little
bit more sense of urgency
because when an
adversary was crystal clear
about their intent to move very fast.
On the acquisition side, you ask,
you know, what should
we be thinking about?
This is gonna sound maybe a little bit
of a different answer is a mindset.
It's a culture shift.
You just have to think
differently than any other system
you've worked with perhaps in the past
unless you were working on software.
Software is reasonably close,
but this is a different kind of software.
I'll tell you the part
where I really don't think
the government's prepared for right now.
Of all the things I could say with AI
that I believe are now going better,
much better now than
they were six years ago,
what we're not ready for in a government
is continuous
integration, continuous delivery.
If you feel an AI
model and don't update it,
don't feel that at all.
It's just gonna get worse and worse.
It will drift, it will be bad.
You have to learn how to do that.
That's not muscle memory
we've built in in the government.
Even with regular software,
you're on sort of very
standard lifecycle improvements
like Office 365 version 11.
Okay, there will be a version 12.
We'll push it out to everybody.
With AI in a conflict,
you may be looking for hours
to turn data around and
push something back out.
How do you do that?
Who does it where?
Who tests it?
You have somebody at
the unit level testing it,
who signs off on it?
I mean, these are things we're not
prepared for right now.
That may be one of the
biggest things is that,
but this mindset of
agility and adaptability
and just learning
about AI, just learn about.
I spend way too much time every morning
just catching up on
AI-related sub-stack posts
because I wanna stay as current as I can.
I don't understand everything I read.
Some of the things are very technical,
but what I'm embracing
is this is the future.
If I don't stay current on this,
the future passes me
by in about 24 hours.
That's how fast it
feels like it's changing.
And it can be a little daunting
if I'm an acquisition
official and I'm young
and I've never done this before.
So I'll go young and old.
Young, never done this before,
but I'm also kind of a digital native.
So jump in there.
Yeah, it's different.
There are a lot of rules.
Somebody's gonna have
to make me understand
where my boundaries are.
That's okay.
Old, no, don't wanna do it.
Wanna go back to the old way.
This is too hard.
I'm gonna get myself in trouble.
I don't wanna embrace this.
Somewhere in there it
has to be a leap of faith.
Like we're in.
The future depends on
us getting this right.
Now, here's the wake-up call.
The AI race is on.
Our adversaries are not idle.
They're investing heavily,
breaking barriers and pushing boundaries
to gain an AI advantage.
This isn't a hypothetical threat.
It's happening right now
and the stakes couldn't be higher.
If we fall behind in this race,
the consequences for
our national security
and global stability
could be catastrophic.
It's not enough just
to recognize the risks.
The US government must
face the reality head on
and it all comes down to you,
the government acquisition professional.
So why does it all come down to you?
Well, because success lies in our ability
to effectively buy,
deliver and adopt AI at speed.
And this is an acquisition challenge
which brings new and unique aspects
to traditional acquisition and
contracting techniques,
rules and processes.
In this first learning objective,
we will talk about how
AI will shape our future.
You'll learn about
general purpose technologies
like electricity and the internet
and how AI is the next
general purpose technology.
Then we'll spend a
little time looking back
at the history of AI.
And finally, we'll talk
about the relationship
between the US government
and artificial intelligence.
So let's start with the first question.
How will AI shape our future?
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