Welcome back everyone for another deep dive.
Today we're looking at artificial intelligence.
AI.
Yeah, exactly.
It's everywhere these days, huh?
It really is, and it's evolving so quickly.
Like crazy fast.
It can be hard to keep up with all the new developments.
No kidding.
It feels like every day there's a new breakthrough
or a new tool.
You're not wrong, and that's part of what we're gonna
dig into today.
We are.
We've got a ton of interesting stuff to unpack
from recent tech news, company announcements,
even some analysis of where things might be headed.
We're really trying to cut through the hype
and give you the rundown on what's really significant.
Exactly, because it's easy to get swept up
in all the excitement, but we wanna help you understand
what these developments actually mean.
What they mean for the industry.
For the future.
Yeah.
So like, how is this technology gonna impact our lives?
Mm-hmm.
Yeah, exactly.
So to kick things off, let's talk about Adobe.
Adobe, okay.
Yeah.
Have you seen what they're doing with AI in their
software like Premiere Pro?
Oh yeah, their new AI-powered features are pretty amazing.
It's mind-blowing, like that generative extend feature.
Yeah, where it can extend your video clips.
Yes, and it can generate matching visuals and audio.
It's wild, right?
Like you can just make a clip longer
and it looks seamless.
It's like magic.
And it makes you think,
what does this mean for filmmaking?
Right, like could this lead to more independent filmmakers?
Because now they have access to these tools
that were previously.
Too expensive or?
Too complicated, yeah.
And require like a whole team of editors.
Exactly.
And it's not just video editing either.
No, Adobe's also doing really interesting things
with AI and Photoshop.
Like that new distraction removal tool,
if you played with that one?
Oh yeah, it's pretty slick.
It's insane.
You can just tell Photoshop to get rid of something
in your photo.
Like a pylon.
A pylon, exactly.
Or like a random person in the background.
And it's gone just like that.
Poof.
The crazy part is it looks so natural.
Right, like it doesn't even look edited.
It's scary good, but in a good way.
I don't know, it's both impressive
and a little unnerving.
I know what you mean.
It's like, where does the line blur
between human creativity and AI?
And is it blurring or?
Yeah, like is it enhancing our creativity
or replacing it?
Big questions.
Huge questions.
But it's definitely something to think about.
It is.
And speaking of big questions and things to think about,
let's talk about Google for a second.
Google, okay.
This one's a bit out of left field,
but they're making some interesting moves
in the energy sector.
Really?
I haven't heard about this.
Yeah.
They're investing in nuclear power.
Nuclear power, like the kind that powers our homes.
What does that have to do with AI?
I know, right?
It seems totally unrelated,
but it's all connected to the energy demands of AI.
Okay, I'm listening.
So these large language models
that companies like Google are building.
You mean like the ones that can generate text
and have conversations?
Exactly.
They require an insane amount of energy to run.
Like massive data centers full of servers.
Exactly.
And those servers need power, a lot of it.
Okay, so what's Google's plan?
Are they building their own nuclear power plants?
Not quite, but they're partnering
with a company called Kairos Power.
Kairos Power, hmm, never heard of them.
They specialize in these smaller,
more flexible nuclear reactors called small modular reactors.
Okay, and these are supposed to be safer and more efficient.
That's the idea.
And because they're smaller and more modular,
they can be deployed more easily and in more locations.
Interesting, so Google's betting on nuclear power
to fuel the future of AI.
It seems that way.
And it highlights a really important point
about the future of AI in general.
What's that?
It's not just about the algorithms and the software.
Right.
It's also about the hardware, the infrastructure,
and the energy required to power it all.
It's about the whole ecosystem.
Exactly.
And as AI continues to advance,
those other pieces of the puzzle
are gonna become even more important.
You're right, it's something that often gets overlooked.
But it's crucial.
Now let's switch gears for a moment
and talk about another tech giant, Apple.
Apple, okay.
What's their game plan with AI?
It's been pretty quiet on that front, don't you think?
Yeah, they've been pretty tight-lipped
about their AI strategy.
We've heard rumors about AI-powered smart classes.
Yeah.
But those have been circulating for ages.
Right, still no concrete release date.
So what's the deal? Are they falling behind in the AI race?
It's hard to say.
Apple's always been good
at keeping their cards close to their chest.
True, they're masters of secrecy.
They could be biting their time,
waiting for the right moment
to unveil something groundbreaking.
Like they did with the iPhone.
Exactly.
Remember all the hype and speculation before it launched?
It was insane.
Everyone's trying to figure out what Apple was up to.
And then, bam, they dropped this revolutionary device
that changes everything.
Maybe they're doing the same thing with AI.
It's possible.
Or maybe they're taking a different approach altogether.
Like what?
Instead of chasing the latest trends
and making a big splash,
maybe they're focusing on seamlessly integrating AI
into their existing ecosystem.
So instead of creating a standalone AI product,
they're weaving AI into the iPhones, the Macs,
the Apple Watches we already use.
Exactly. It would be a very Apple thing to do.
It would be.
Focus on user experience, make it just work.
And they've already done this with things
like Siri and FaceSide.
True. Those are both AI-powered features
that are now just a seamless part of using Apple products.
Right. So it wouldn't be surprising
if they took a similar approach
with more advanced AI capabilities.
It's going to be interesting to see how it all plays out.
It really is. The AI landscape is changing so rapidly.
Speaking of changing landscapes and fierce competition,
let's talk about Microsoft for a sec.
Microsoft, what's been going on with them?
So they've been making a big push into AI.
Yeah, they've been investing heavily
in AI research and development.
Right. And they've got their own large language model.
Like a competitor to chat GTT.
Exactly. But they recently lost one
of their top AI researchers.
Oh, really? To who?
Open AI. Open AI. You're kidding.
That's got a sting.
Yeah, Sebastian Bubeck, he was a big deal at Microsoft.
I bet. And now he's over at Open AI,
working on their large language models.
The ones that are like direct competition with Microsoft,
it's kind of like he went to play for the rival team.
Right. Talk about awkward.
But seriously, though, what do you think this means for Microsoft?
Does this mean they're out of the running in the AI race?
I wouldn't go that far.
They're still a massive company with a ton of resources.
Sure. But it definitely highlights
how competitive the AI talent pool is right now.
Like everyone's trying to scoop up the best and the brightest.
Exactly. And these companies know
that having the right people can make or break their AI ambitions.
All about the brains behind the algorithms, right?
Exactly. It's like any other field,
you need the top talent to drive innovation.
That makes sense, but it also makes me think
about the ethical side of all this.
The ethics of AI, yeah, that's the big one.
Because if AI is so powerful,
and these companies are in such a rush to develop it,
are we paying enough attention to the potential downsides?
That's the million dollar question, isn't it?
It really is.
And it's something we need to be talking about more,
like a lot more.
Because it's not just about making AI that works,
it's about making AI that's ethical.
Right. And that's not always easy to define.
No, it's complicated.
And it's not like there's a simple answer
or a one size fiss all solution.
Exactly.
It's going to require a lot of thought, a lot of discussion,
and probably some trial and error along the way.
So where do we even start?
Right. What are the first steps
in making sure AI is developed ethically?
I think education is key.
Like the more people understand about AI.
How it works, the potential benefits, the risks.
Exactly. The better equipped will be
to make informed decisions about its development and use.
So we need to demystify AI a bit.
It is.
And we need to be having these conversations
at all levels of society.
Not just in tech circles.
Right. Because AI is going to impact everyone eventually.
It already is impacting us.
True. So we need to make sure everyone has a voice
in shaping its future.
And that includes thinking about regulation, right?
Absolutely. We can't just rely on companies to self-regulate.
Right. Because at the end of the day,
they're driven by profit.
Exactly.
And that's not always going to align
with what's best for society as a whole.
So we need some kind of oversight, some rules of the road.
Yes.
But finding that balance between encouraging innovation
and protecting the public is tricky.
It's like walking a tightrope.
It is.
But it's a tightrope we have to walk
because the stakes are too high to ignore.
Couldn't agree more.
But shifting gears a bit, I wanted to talk about something
Adobe is doing that I find really interesting.
OK. What's Adobe up to now?
So they're incorporating something called content credentials
into their AI-generated content.
Content credentials. What are those?
It's basically a way of labeling AI-generated content
so people know where it came from.
Like a digital watermark?
Kind of.
But it's more than just a watermark.
It's like a little passport for the content.
OK. And this passport tells you?
It tells you things like, was this content created
by a human or by AI?
What tools were used to create it?
Oh, that's actually pretty cool.
So you know if you're looking at an image or a video?
You know if it's the real deal or if it was made by a computer.
Right. Because as AI gets better at generating
realistic content.
It's going to get harder and harder to tell the difference.
Exactly.
So having that transparency.
That clear labeling.
Is going to be crucial.
Especially with things like deepfakes becoming more common.
Oh, yeah. Deepfakes are a whole other can of worms.
Right.
Because if you can't trust what you see and hear.
Then it really undermines our whole sense of reality.
It's a bit scary when you think about it.
It is.
But that's why I think what Adobe is doing with content
credentials is so important.
It's a step in the right direction.
It is.
It's about giving people the information they need
to make informed decisions.
And to trust the content they're consuming.
Exactly.
Because in a world where AI is becoming more and more
pervasive, trust is going to be more important than ever.
Couldn't agree more.
Yeah.
OK, so switching gears again this time to the global stage.
There's been some talk about the US potentially
restricting exports of AI chips.
Particularly to certain countries in the Persian Gulf.
Oh, yeah.
That's been in the news lately.
It's a complicated issue.
It is.
So why is the US considering this?
Basically, they're concerned about national security.
They don't want these powerful AI chips falling
into the wrong hands.
Because AI chips are essentially the building blocks
of advanced AI.
Exactly.
So whoever controls those chips has a leg up in the AI race.
And the US wants to maintain its lead.
Especially in a world where AI is becoming increasingly
important for things like.
Military applications, intelligence gathering,
economic competitiveness.
Right.
It's not just about tech companies anymore.
It's about national security and global power.
And it's creating this whole new landscape
of technological competition.
Where the stakes are incredibly high.
Exactly.
And it brings us back to those ethical considerations
we were discussing earlier.
Because it's not just about who has the most powerful AI.
It's about how that AI is used.
And what values it's based on.
Exactly.
And those are questions we need to be asking ourselves
on a global scale.
Because the decisions we make about AI today
are going to have far-reaching consequences.
They will shape the future for better or for worse.
It's a lot of responsibility.
It is.
But it's also an incredible opportunity.
To use the technology for good.
To solve some of the world's most pressing problems.
And to create a better future for everyone.
That's the goal, isn't it?
It is.
But speaking of incredible opportunities
in the future of AI, we haven't even touched on NVIDIA yet.
OK, so NVIDIA, what's their deal?
You mentioned they're also making waves in the AI hardware
space.
Oh, yeah.
NVIDIA is like the 800-pound gorilla in the room
when it comes to AI chips.
Really?
That dominant.
Pretty much.
They control a huge chunk of the market for GPUs.
GPUs, right.
Those are the things that make video games look so realistic.
Exactly.
But it turns out those same chips are also really good
at running AI algorithms.
So how did that happen?
Did NVIDIA just get lucky?
Well, there's some luck involved.
But they were also smart.
They saw the potential of their technology for AI early on.
And they went all in.
Yeah, they invested heavily in developing GPUs,
specifically for AI workloads.
And now they're reaping the rewards.
Big time.
Companies like Google, Facebook, they all
rely on NVIDIA's chips to power their AI systems.
It's like they have a monopoly on the AI chip market.
Almost.
It's not quite a monopoly, but they're definitely
the dominant player.
Wow.
That's pretty impressive.
So what are they doing with all this power?
Well, they're not slowing down anytime soon.
They just announced their next generation of AI chips.
Even more powerful.
Oh, yeah.
These things are beasts.
Way faster, more efficient.
They're going to blow everything else out of the water.
So if NVIDIA is already dominating the market,
what happens when these new chips come out?
It's going to be interesting to see.
They could potentially widen their lead even further.
It's almost like they're writing their own ticket
at this point.
Pretty much.
And it'll be interesting to see how they handle
that responsibility.
Responsibility.
Yeah, because with great power comes great responsibility.
Oh, right.
Like Spider-Man.
Exactly.
NVIDIA has a huge influence on the development of AI.
Because their chips are so crucial.
Right.
So they have a responsibility to make sure their technology is
used ethically.
That's a good point.
It's not just about making the most powerful chips.
It's about making sure those chips are used for good.
For the benefit of humanity.
Exactly.
It's a big responsibility.
And it's one that we need to hold them accountable for.
Couldn't agree more.
Well, I think we've covered a lot of ground today.
We've barely scratched the surface.
I know, right?
AI is such a vast and rapidly evolving field.
Every day, there's something new to learn.
It's both exciting and a little bit overwhelming.
Definitely.
But that's what makes it so fascinating.
It really does.
It feels like we're on the cusp of something truly transformative.
We are.
And it's up to all of us to shape how this transformation unfolds.
Make sure AI is used for good.
To create a better future.
Exactly.
Well said.
And on that note, I think it's time to wrap up this deep dive.
Until next time.
Thanks for joining us, everyone.
And we'll see you next time for another deep dive
into the world of tech.