Welcome to the Daily AI News podcast.
We're gonna be diving into a whole bunch
of different AI topics today.
Everything from like the future of AI
to some really practical stuff, even ethical concerns.
We've got a lot to unpack.
So let's get started.
Our first source takes us to the Cerebral Valley AI Summit.
Okay.
Where experts debated whether AI progress
is actually slowing down.
Hitting a wall.
So what were some of the big takeaways
that you got from that?
Well, there were some pretty different opinions.
Alexandra Wang, the CEO of Scale AI,
he admitted that just throwing more data
at these AI models we have might not be the best way to go.
He sees more potential in refining those models
and focusing on AI agents.
AI agents, that's like...
It's the big thing.
It's the buzzword right now.
Everybody's talking about it.
Yeah, can you kind of break down for our listeners
what AI agents actually are?
Sure.
There's so much hype around them.
Yeah, so think of an AI agent
as like a super intelligent digital assistant.
That can interact not just with computers,
but with like the real world.
Yeah, wow.
To get things done.
Like having a super powered helper,
that can learn and adapt to what you need.
So like if I needed to book a flight or a hotel.
Exactly.
An AI agent could theoretically do that for me.
In theory.
Yeah, and even more than that.
So like Google, OpenAI, Meta,
they're all racing to build these.
And there's just a ton of speculation
about what they'll be able to do.
So are we talking about like a future where...
It could be.
We tell our AI agent to like do our grocery shopping for us.
Write our emails, all that kind of stuff.
Potentially.
That's kind of the vision, although we're still very early.
But Wang actually predicts a chat GPT moment for agents.
Or like a super capable generic agent
just becomes like the thing that everyone uses.
Really, huh?
That's an interesting prediction.
It is.
So from your perspective,
what's it gonna take to get us to that point?
Well, according to Wang,
we need like new ways of training these things.
Using data.
You need to teach them to do complex tasks
in the real world.
Got it.
And specifically, you need data that captures human actions
and decision making.
Right.
Which isn't as easy to come by as you might think.
So data is key.
But of course, we can't just talk about the good stuff, right?
We gotta talk about the potential risks as well.
Of course.
As AI gets more powerful, we can't ignore that.
Absolutely.
There are a lot of concerns around safety
and that's where you start to see a clash of perspectives.
Okay.
So at the Cerebral Valley Summit,
there was this interesting exchange
between Anthropix CEO, Dario Amore.
Who's actually really optimistic about AI.
Okay.
And Mark Andreessen, the venture capitalist
who's known for his AI is just math stance.
Oh, I've heard that argument before.
Right.
That because it's just math, it can't really be dangerous.
Right.
It's based on math.
So what's the big deal?
It just seems a little bit simplistic to me.
Yeah.
And Amode definitely thought so.
His response to Andreessen was,
isn't your brain just math?
Oh.
You know, which kind of highlights the flaw
in that thinking.
Right.
The human brain can do some pretty terrible things
even if it is based on math.
That's a really good point.
Yeah.
So we have to think about this carefully.
The potential benefits are amazing,
but there are risks.
Right.
And we can't just ignore them.
Absolutely.
So speaking of Amode and Anthropix,
our next source dives into their partnership
with Amazon Web Services.
Right.
So this is interesting.
Amazon just put a ton more money into Anthropix.
Really?
Like another $4 billion.
Wow.
On top of the 4 billion they already invested.
Okay.
So that's a pretty significant investment.
It's massive.
And it makes AWS their main cloud and training partner.
Wow. That's huge.
What does that actually mean for people
who aren't super familiar with like
the technical side of things?
Sure.
So they're going to be working together
on both the hardware and the software.
Okay.
Specifically, they're going to improve
this thing called Tranium.
What is that?
It's a machine learning chip.
Okay.
That AWS designed themselves.
I had it.
And they're also going to integrate
Claude, which is Anthropix AI model,
into Amazon Bedrock.
Okay. So for those who don't know,
what is Amazon Bedrock?
Why is this a big deal?
So Amazon Bedrock is basically a service
that lets businesses use all sorts of powerful AI models,
including these big language models.
So they don't have to build them from scratch.
Got it.
So putting Claude into Bedrock means businesses
will have another tool that they can use
for things like generating content
or more automating complex stuff.
So this sounds like it's making AI much more accessible.
Exactly.
Lower the barrier to entry for all kinds of companies.
But does that also raise any concerns about, you know,
for sure, the power of these big tech companies?
Yeah. That's a really important thing to consider.
Right.
As AI gets more powerful,
we have to think about who controls it.
Absolutely.
And how that power is used.
That's a great point.
And it's something that I think
we're going to continue to see discussed more and more.
Definitely as AI gets more and more
integrated into everything.
Right. Now, shifting gears a little bit.
Okay.
Let's talk about Microsoft.
All right.
They recently previewed this new AI tool
called Recall With Click To Do
for their Co-Pilot Plus PCs.
Yeah. It's in preview right now
for people with Windows Insiders on the Dev Channel.
So not widely available yet.
Not yet.
But it gives us a peek into the future.
A little glimpse.
So what does this tool actually do?
So Recall uses AI to help you find things
that you've seen or done on your PC.
You can search using descriptions, visual cues,
even a timeframe.
So it's like a super search.
Yeah. Super search for everything you've ever done.
Exactly. Like your whole computer history.
What?
Click to do.
Let's you actually act on those things.
Okay.
Like the images or text and the stuff you find.
Okay. Can you give me an example
of how that would actually work?
Yeah. So say you're working on a project.
Mm-hmm.
And you remember seeing a graph
with some sales trends like a few days ago.
Right.
You can use Recall to find that.
And then click to do will open the document.
Oh wow.
Or even share it with someone.
So it's not just finding it.
It's doing something.
But like doing something with that information.
Exactly.
That's really cool.
Yeah. It could be huge for productivity.
That sounds awesome.
Oh yeah.
But I do have one question.
Yeah.
If it's tracking everything I do on my computer.
Uh huh.
Isn't that a little bit scary from a privacy standpoint?
That's a fair question.
And Microsoft has said that they've taken steps.
Okay.
To protect user privacy.
Okay.
The snapshots are stored on your PC,
not sent to Microsoft.
And they've said that sensitive stuff like passwords
and credit card numbers aren't saved.
So it sounds like they're taking some precautions.
Yeah. They seem to be aware of the concerns.
Ooh, which is good.
Yeah. It's important to be careful.
Because anything that's collecting
that much data about you.
Right.
You have to be a little bit cautious about it.
Okay. So let's move on to a topic.
Okay.
We're going to highlight some of the ethical challenges
around AI.
Right.
Our next source is about a Stanford professor,
Jeff Hancock.
Uh huh.
Who was accused of using AI to fake testimony.
Yeah.
This is a pretty wild one.
Wait, a Stanford professor.
No.
Accused of using AI to create false evidence.
Yeah.
That's pretty serious.
So what are the details here?
So Hancock is actually an expert on misinformation.
Okay.
Which is kind of ironic.
But he submitted a statement for a case in Minnesota
that was challenging their ban on political deepfakes.
Okay.
And in that statement, he cited a study
that seems to have never existed.
He cited a study that doesn't exist.
It doesn't seem to.
How is that even possible?
That's the scary part.
The lawyers on the other side of the case,
they think it was an AI hallucination.
Like it was just made up by an AI.
Wow.
Like chat GPT.
So if that's true.
Yeah.
It's incredibly concerning.
It is.
Because if you can just create fake studies.
Yeah.
And present them as real.
It undermines everything.
It undermines the entire concept of trust.
Exactly.
Like how do you know what to believe?
It's like a very slippery slope.
It is.
And especially in the context like legal proceedings.
Yeah.
The implications are huge.
Where stakes are really high.
Absolutely.
This is a case we need to pay attention to.
Yeah.
This is a really important one to highlight.
And I think it really underscores the need
for critical thinking.
Especially in this age of AI.
Yeah.
We can't just take everything at face value.
Especially when it sounds really believable.
Right.
Because as AI gets better.
Right.
It's gonna be harder to tell what's real and what's not.
You're sure.
So we need to be vigilant.
Absolutely.
All right.
So let's lighten things up a bit.
Okay.
I could use a break from the doom and gloom.
Yeah.
Me too.
Let's talk about how AI is even impacting the way
we shop for the holidays.
Wait what?
I know it sounds kind of crazy right.
AI and holiday shopping.
That's an interesting combination.
Tell me about it.
Okay.
I'm intrigued.
Lay it on me.
So some people are actually using chat GPT.
Okay.
To come up with Christmas gift ideas.
Like what to buy people.
Yeah.
Interesting.
So this is obviously sparked a bit of a debate.
I bet.
You know among gift giving experts.
It exists.
What do they think about this?
Well on the one hand,
you can see how AI could be helpful.
Yeah.
For brainstorming.
Yeah.
If you don't know where to start.
Right.
If you're feeling stuck.
It could give you some ideas.
Right.
But then again, you run the risk of just getting
like really generic gifts.
Okay.
That don't really have any thought behind them.
Right.
So it's kind of a double-edged sword.
Exactly.
So what are some of the things
that the experts are actually saying?
Well gift giving experts like Betsy Ben,
they really emphasize.
Okay.
The importance of thoughtful, personalized gifts.
Right.
That show that you really know the person.
Of course.
So for them, using AI generated gift lists.
Uh huh.
Is missing the whole point.
Right.
The point is to show you care.
Right.
And appreciate the people you're giving gifts to.
Right.
Not just go through the motions.
Okay.
So is using AI for Christmas shopping
like a bad thing then?
I don't know if it's necessarily bad.
Okay.
Professor Catherine Janssen Boyd,
she's an expert in consumer psychology.
Okay.
She says that AI has its limits.
Okay.
Especially when it comes to emotions.
Right.
And personalization.
Right.
But she also points out that AI can help us
understand ourselves better.
Oh, that's interesting.
Yeah.
It can give us insights we wouldn't have thought of.
So maybe it's about finding that balance.
I think so.
Using AI as a starting point.
Yeah.
Like brainstorming.
Right.
But then adding our own personal touch.
Exactly.
You gotta make it your own.
Right.
AI can help us.
Yeah.
But it can't do everything for us.
Not yet anyway.
Right.
So it's all about finding that balance.
And that's a really good point to keep in mind
as we head into the holiday season.
For sure.
But let's shift gears now.
To a topic that I think is on a lot of people's minds.
And that's AI's impact on jobs.
Yeah.
Especially for coders.
Exactly.
Yeah.
So we're seeing all these AI coding tools popping up.
Left and right.
Is learning to code even worth it anymore?
Yeah.
That's the big question.
Are these skills gonna be obsolete in a few years?
It's tricky.
There are a lot of different opinions out there.
Okay.
Some experts think AI is gonna create
even more jobs for coders.
Really?
How so?
Doesn't it just automate everything?
That's the other side of the argument.
And it's valid.
One of our sources talks about this guy,
Florence Rindone.
He graduated from a coding boot camp.
Okay.
And he's actually struggling to find a job.
Oh wow.
Yeah.
He's finding that even with the training,
there's just so much competition
from experienced coders.
Right.
And AI is changing the game.
So is this the end of learn to code?
Not necessarily.
But it means the skills you need to succeed
are changing.
Okay.
So what are some of those skills?
What do people need to know?
Well, it's not just about the code anymore.
You need to be a good problem solver.
You need business skills
and you have to be a great communicator.
So it's more holistic.
Yeah.
You need to be able to think critically.
Right.
And understand how things work.
In a broader sense.
Exactly.
But let's get into some specifics.
What are these GPT monkeys that we keep hearing about?
Right.
So GPT monkey is kind of a funny term.
Okay.
It refers to the idea that AI can automate
the basic stuff in coding.
Okay.
Which could actually displace junior programmers.
So it's like AI is taking over.
It's taking over the boring parts.
Okay.
The repetitive stuff.
Right.
Which could be good or bad.
Right.
It frees up humans to focus on the more complex stuff.
The more interesting stuff.
Exactly.
But it could also mean job losses.
For people who are just starting out.
Right.
And haven't developed those higher level skills yet.
Yeah. And Professor Matt Bean who's actually studying this.
Okay.
He said some entry level coders feel like they're being
treated like these GPT monkeys.
Oh wow.
Just churning through code with the help of AI.
So it's a double-edged sword.
It really is.
AI could make things more efficient.
What happens to the people.
Exactly.
Who are just trying to get their foot in the door.
It's a real concern.
So what's the solution.
I think it's about adapting.
Evolving your skills.
Right.
Don't just focus on the basics.
Learn how to solve problems, understand business.
Right.
And communicate effectively.
So it's about being more well-rounded.
It is.
And I think this applies to more than just coding.
Oh absolutely.
This applies to any field that's going to be impacted by AI.
Right.
Because AI is coming for everything eventually.
Right.
So we have to learn to learn.
Yeah.
That's the key.
Be adaptable.
That's how you stay ahead.
So we've covered a ton of ground here in this first part.
We have.
Of our deep dive.
And it's all connected.
Like all these different pieces.
Exactly.
They all fit together.
And they paint a picture of AI's impact on our world.
For sure.
And we're just scratching the surface.
We are.
There's so much more to explore.
Absolutely.
But we'll be back in the next part of our deep dive
to discuss even more.
Can't wait.
Fascinating developments in the world of AI.
Stay tuned.
Welcome back to the Daily AI News podcast.
So we've been talking a lot about AI.
We have.
And its impact on everything.
From jobs to ethical concerns.
Even holiday shopping.
Right.
It's everywhere.
Let's pick back up with that Stanford professor.
Oh yeah.
Jeff Hancock.
Who was accused of using AI to create fake testimony.
That case is just wild.
It really raises some questions about trust
and accountability in this age of AI.
Yeah.
How you know.
Like if AI can be used to create fake evidence.
Right.
That could potentially influence legal decisions.
Uh-huh.
That's a really scary thought.
It's a slippery slope.
It is.
And it shows that we need like clear safeguards.
Right.
Ethical guidelines.
As AI gets more powerful.
Absolutely.
We got to make sure it's used responsibly.
For sure.
Speaking of responsible use.
Let's circle back to that AI holiday shopping thing.
Right.
It's kind of a funny example.
Yeah.
Of how AI is creeping into like.
Everything.
All these unexpected areas of our lives.
Or even our holidays.
So some people are turning to chat GPT.
Yeah.
For Christmas gift ideas.
Which makes sense.
Right.
But it's also sparked this debate about.
Yeah.
Whether that's appropriate.
Right.
Because gift giving is so personal.
Right.
It's supposed to be thoughtful.
Exactly.
So you can see how AI could be helpful.
Uh-huh.
You know.
Maybe breaking us out of our old habits.
Yeah.
Getting you out of your comfort zone.
Giving us new ideas.
But.
There's that risk of losing.
Yes.
Personal touch.
That human element.
Yeah.
That's what makes it special.
Exactly.
So how do we find that balance?
That's the question.
Is there a way to use AI.
Uh-huh.
For gift giving.
Without sacrificing that thoughtfulness.
I think maybe AI can be a good starting point.
Okay.
Like a brainstorming tool.
Okay.
But then you gotta take those ideas.
And make them your own.
Right.
So AI can help us.
Yeah.
But it shouldn't replace our own thinking.
It's a tool.
Right.
Not a solution.
Now let's switch gears to something completely different.
Okay.
We're going now.
Let's talk about the legal battle.
Oh yeah.
Between open AI.
And the New York Times.
This is an interesting one.
It is.
So open AI tried to force the New York Times.
Uh-huh.
To tell them how their reporters are using AI tools.
Wow.
In their work.
I wonder why they did that.
It's not totally clear why.
Okay.
But there's speculation that they might have been worried about.
Okay.
Copyright infringement.
That makes sense.
Or maybe misuse of their technology.
So they wanted to know.
Right.
How it was being used in a journalistic context.
Interesting.
But a federal judge actually denied.
Oh really?
Open AI's request.
Sure.
Saying that it was too broad.
Like asking a video game company.
Okay.
To provide information about their copyright holders employees.
And their gaming habits.
Right.
Just because they're phasing a lawsuit.
So basically they said no phishing expedition.
Right.
Open AI was overreached.
How are you ever trying to get too much information?
Exactly.
So I think this highlights.
Yeah.
This growing need to define the boundaries.
Yeah.
Of data access and transparency.
Especially for AR.
When it comes to AI tools.
Right.
And this is especially important in fields like journalism.
Yeah.
Where freedom of the press is so important.
Right.
You can't just force journalists to reveal their sources.
Right.
Or their methods.
Exactly.
So this is going to be interesting to watch.
It is because the legal and ethical frameworks around AI.
Mm-hmm.
Are still evolving.
We're in uncharted territory.
We are.
And we can expect to see a lot more cases like this.
Probably.
As AI becomes more and more integrated into our lives.
Yeah.
This is just the beginning.
Now let's go back to the topic of AI and coding.
Okay.
And how it's impacting the job market.
Right.
Because we talked about how the skills.
Yeah.
That you need to succeed are changing.
Right.
And it's not just about the technical stuff anymore.
Exactly.
You need problem solving.
Uh-huh.
You need communication.
Business skills.
Right.
That story about Florencia Orendan.
Yeah.
The guy who went to the coding boot camp.
Really highlights the need to be adaptable.
Absolutely.
And to keep learning.
It's all about continuous learning.
And that's a lesson I think applies to everyone.
Any field.
In any field that's being touched by AI.
Yeah.
Because things are changing so fast.
Right.
And the only way to stay ahead.
Is to keep learning.
New things and adapting to those changes.
And AI itself can actually help us learn.
That's a good point.
It's a tool for learning as well.
So let's dive back into Microsoft's new AI tool.
Okay.
Recall with click to do.
This thing is supposed to.
I'm still wrapping my head around it.
It's supposed to change the way we interact with our computers.
Yeah.
How so.
So it uses AI to help us find.
Okay.
And act on information.
That we've seen before.
Like our computer history.
It's basically creating this searchable history.
Yeah.
Okay.
Of everything you've done on your computer.
So it's more than just a keyword search.
It's like it understands the context.
Oh wow.
Of what you've seen and done.
So if I'm remembering a presentation I saw.
Yes.
But I can't remember the file name.
Exactly.
Recall could help me find it.
Exactly.
And then.
In what.
Click to do.
Takes it a step further.
Okay.
How so.
It lets you take actions based on that information.
Oh that's cool.
So say you find a snapshot of a website.
With a product you want to buy.
Right.
You can just click on the product.
Oh within the snapshot.
Yeah.
And it'll take you to the page.
Wow.
Where you can buy it.
That's amazing.
It's super seamless.
Yeah.
It connects everything.
Like it bridges the gap between your past activity
and what you're doing right now.
It's like time travel for your computer.
It is.
It's like AI is remembering for us.
And helping us get things done.
But it's important to note.
Yeah.
That it's still in that limited preview phase.
Right.
Not everyone has access to it yet.
But wider availability is coming soon.
Okay.
Good to know.
So keep an eye out for that.
Now back to Anthropic and AWS.
Okay.
The Dynamic Duo.
This partnership is a pretty big deal.
Yeah.
It could really shape the future of AI.
Right.
They're working on enhancing that Tranium hardware.
Uh huh.
And software for AI model training.
Right.
So just to recap.
Yeah.
Tranium is that custom designed machine learning chip.
Right.
Made by AWS.
That AWS developed.
And they're optimizing it.
Yeah.
For Anthropic's needs.
To make AI training faster.
And more efficient.
Right.
It's all about pushing the limits.
And this partnership goes beyond just infrastructure.
Uh huh.
They're also integrating Claude.
Which is Anthropic's AI model.
Into Amazon Bedrock.
Right.
And Amazon Bedrock.
Is that service that gives businesses easy access
to all those different AI models.
Right.
So they don't have to build their own.
So what does it mean to add Claude to this platform?
It means more options for businesses.
Okay.
More AI tools to play with.
So it's all about making AI more accessible.
Yeah.
Democratizing it.
Two more people.
Exactly.
And that could lead to a lot more innovation.
Right.
Because more people would be able to use it.
Right.
And experiment with it.
To come up with new ideas.
And new applications.
It's exciting to think about.
It is and this partnership is really at the forefront.
Uh huh.
Of that trend.
Of democratizing AI.
It's definitely something to watch.
Now before we wrap up this part of our deep dive.
Okay.
I want to touch on AI and journalism.
Right.
We talked about that case with open AI.
And the New York Times.
Yeah.
That was a big one.
It raises some important questions about.
Yeah.
Like where's the line?
Yeah.
Where's the line between AI and journalism.
How much AI is too much.
Right.
How do we protect.
Journalistic practices.
Age source.
In this age of AI.
It's a tricky balance.
It is.
Yeah.
And it's clear that this is just the beginning.
Of the conversation.
About AI.
Yeah.
And its impact.
On everything.
Yeah.
On our lives, our jobs.
Our laws.
It's changing everything.
It's changing everything and we're just starting to see.
Yeah.
The ripple effect.
We need to be having these conversations now.
Absolutely.
Before it's too late.
We need to think about the ethical implications.
Yeah.
The legal implications.
Uh huh.
And figure out how to use this technology.
Responsibly.
Responsibly for the benefit of everyone.
Exactly.
So we've covered a ton of ground.
In this second part.
We have.
Of our deep dive.
Yeah.
It's been a whirlwind.
It's been a whirlwind of AI.
From fake news to holiday shopping.
It's mind boggling.
AI is everywhere.
But we're going to take a short break.
Okay.
And come back to wrap things up.
Sounds good.
With some final thoughts on the future of AI.
I'm ready.
Welcome back to the Daily AI News Podcast.
We've been exploring this crazy world of AI.
It's been quite a journey.
It has.
And I think one of the big takeaways for me.
Is this idea of adaptability.
Uh huh.
And how important it is.
Yeah.
To keep learning.
Absolutely.
Continuous learning is key.
Especially in this age of AI.
Yeah.
Things are moving so fast.
Right.
We saw how AI is like.
Changing the game for coders.
Right.
And it's not just about.
Yeah.
Knowing how to code anything.
It's called package.
Right.
You need those problem solving skills.
You got to be able to think on your feet.
Communication.
Business skills.
The story about.
Florencio Rendon.
The coding boot camp grad.
Yeah.
That really stuck with me.
Yeah.
It's a wake up call.
Because it shows that even if you have the technical skills.
Yeah.
You need more than that.
Right.
You got to be adaptable.
To survive.
In this new world.
The AI world.
And I think that applies to.
Definitely.
More than just coding.
Any field really.
It's a lesson for everyone.
Yeah.
AI is going to impact all of us.
So we need to be prepared.
To learn new things.
To evolve.
To evolve and adapt.
That's how we stay ahead of the curve.
It's not just about learning a specific skill.
It's about learning how to learn.
It's about being a lifelong learner.
Exactly.
Always be curious.
And what's cool is that AI.
Yeah.
Can actually help us with that.
It's a tool for learning.
It's not just about automation.
Right.
It's not just about replacing jobs.
It's about augmenting our abilities.
Exactly.
We saw that with Microsoft's recall with click to do.
Right.
That thing is amazing.
It's pretty mind blowing.
It's like AI is helping us be more productive.
And it's making information.
Mm hmm.
More accessible.
More actionable.
And then we have.
Yeah.
Anthropic and AWS.
That partnership is huge.
It really is.
They're making AI more accessible.
Yeah.
To more people.
To businesses developers.
Which could lead to.
Yeah.
A wave of innovation.
More people using AI.
More people experimenting with it.
More ideas.
Exactly.
So AI is not just.
Wow.
Right.
This scary thing.
It's not all doom and gloom.
It has the potential to do.
Yeah.
A lot of good in the world.
To solve problems we couldn't solve before.
To prove our lives.
To make things better.
But we have to be careful.
Oh, absolutely.
We have to guide its development.
Responsibly.
Responsibly and ethically.
Yeah.
With our values in mind.
And that means.
Yeah.
Having these conversations.
We got to talk about it.
Talking about the ethical implications.
The potential risks.
The legal challenges.
And how we can mitigate them.
Exactly.
This is just the beginning.
Yeah.
The AI conversation is just getting started.
It's an ongoing exploration.
And we all need to be a part of it.
Because AI is going to impact.
Yeah.
All of us.
Our lives.
Our work.
Our future.
Everything.
So it's up to us.
Right.
To shape that future.
To make sure AI is a force for good.
So let's stay informed.
Yeah.
Let's ask questions.
Let's be critical.
Let's be thoughtful.
Let's work together.
To make sure AI benefits everyone.
That's the goal.
Thanks for joining us for this deep dive into the world of AI.
It's been a pleasure.
And thanks for listening to the Daily AI News Podcast.
We'll see you next time.