Welcome to the Daily AI News Podcast, ready for another deep dive.
Today, we're looking at AI, changing how we interact with the digital world.
Yeah, it's everything from searching for information to actually playing games.
It's really fascinating to see this shift towards more
immersive and intuitive experiences.
Definitely.
And all driven by advancements in AI models and their ability to, you know,
understand and generate human-like content.
OK, let's jump right in, starting with open AI launching web search for chat GPT.
Huge news.
It was a big limitation that chat GPT and other large language models could only
use information up to a certain point.
Right.
But now this new feature gives chat GPT access to constantly updating info directly
from the web.
The way I can just ask chat GPT anything and it'll give me an answer and links
to websites to back it up.
Exactly.
So no more going back and forth between chat GPT and Google.
That's right.
And it's more than just basic search results.
Yeah.
Like imagine you ask about the weather in Paris and instead of just text,
you get a visual forecast right there in the chat.
They're doing similar designs for stocks, sports scores, even news headlines.
Speaking of news, didn't open AI partner with some news organizations for this?
Yes, they want to make sure the info is trustworthy and it's good for everyone involved.
Now, so.
Well, it helps address misinformation concerns, but also helps publishers
because it drives traffic to their websites.
That makes sense.
A smart move for sure.
Okay.
So continuing with trustworthy AI, what about Google's new grounding with Google
search feature for their Gemini AI model?
Oh, this is interesting.
What is it?
Exactly.
It's Google's answer to the problem of AI hallucinations.
You mean where the AI makes stuff up?
Exactly.
Grounding basically keeps Gemini honest.
But how does it work?
Does it like fact check everything?
It's more like a double check.
Okay.
When you ask Gemini something, it uses its own knowledge, but also checks
Google search at the same time.
Ah, so it combines what it knows with what it finds online.
Right.
And that means more accurate and up to date answers.
And to be extra sure, I read that Gemini even shows you the sources it used, right?
Yes.
Complete transparency there.
That's great.
Really builds trust.
So Google's all about making things easier and trustworthy.
And they're also adding Gemini to Google Maps, right?
This is a perfect example of AI becoming part of our everyday lives.
Literally, dining us through the world.
Yeah, exactly.
Think about it.
You could ask Google Maps for the best ramen places in Tokyo.
And it would factor in not just ratings, but also your preferences.
And maybe even reviews from food bloggers I follow.
You got it.
It's like a super personalized tour guide.
That's amazing.
You could ask for tips, get detailed walking directions, anything.
But hold on.
Is Google Maps using that grounding thing too?
I mean, how do we know these recommendations are accurate?
Great question.
Yes, grounding is definitely a big part of this too.
So it cross references everything with real time info from the web.
Yep, to avoid those hallucinations.
It seems like both open AI and Google are really serious about making AI
that we can actually trust.
Definitely a trend we're seeing.
It's not just about being smart.
It's about being reliable too.
Right.
As AI gets more powerful and becomes a bigger part of our lives,
trust is essential.
Users need to feel confident that the information they're getting is accurate and unbiased.
Exactly.
OK, let's shift gears a bit and talk about some challenges.
Yeah.
Even with all this progress, it seems there are still some hurdles.
Definitely.
And one of the biggest ones for open AI right now is compute capacity.
So basically they don't have the power to run all these amazing features?
Basically, yes.
You know, training these massive AI models takes tons of data and processing power.
Yeah.
And open AI is having a bit of trouble getting enough resources to keep up with everything they want to do.
So what about things like the advanced voice mode for chat GPT in the next Dali
or those delayed?
Unfortunately, yes.
For me.
Open AI CEO Sam Altman admitted that limited compute is causing delays.
It's a good reminder that AI development still has real world limitations.
Definitely.
It's not magic.
There's a lot of complex engineering and infrastructure behind it all.
A lot of people forget that.
OK, and speaking of constraints, what about Microsoft's delay with their AI powered recall feature?
Oh.
The one that records everything you do on your computer.
It raised some privacy concerns, understandably.
Yeah, I can see why.
It feels intrusive to have every click and keystroke recorded.
Even if it's meant to help you find things later.
Right.
So what's happening with that?
Microsoft is delaying it to address those concerns.
So they're being careful.
They're saying it'll be opt in.
The data is encrypted and stored locally.
That's good.
Users can also uninstall it completely if they want.
It sounds like they're trying to be responsible.
Yeah, it's a tough balance between innovation and user privacy.
But it's important they're taking it seriously.
Absolutely.
It shows they understand the importance of transparency and user control in AI development.
As AI gets more integrated into our lives, we need to be able to make choices about how our data is used.
That's a really good point.
And be comfortable with the level of AI we're using.
It seems like every exciting development has its own challenges.
It's the nature of progress, isn't it?
True.
We're constantly pushing boundaries.
And that comes with a responsibility to address the ethical and practical implications.
Okay, so speaking of pushing boundaries, let's talk about embodied AI.
Sounds good.
You know, the robots and their ability to interact with the physical world.
Yeah, this is where AI steps out of the screen and into reality.
Exactly.
And Meta is making some really interesting progress here, especially with touch, perception and dexterity in robots.
Their work on tactile sensing is really impressive.
Yeah, they've got that Meta sparse thing, right?
Yes.
It's a completely new approach to touch representation.
So are they basically giving robots a sense of touch like ours?
That's the idea.
That's wild.
Imagine robots that can feel texture, temperature, even vibrations.
Wow.
This could revolutionize fields like manufacturing, healthcare, even surgery.
So many possibilities.
They also have MetaDigit360, which is this super advanced tactile fingertip.
It's like giving robots superpowers.
Right.
It can sense pressure, texture, and they're even working on temperature and chemical changes.
Wow.
That's incredible.
And to make all this more accessible, they've partnered with Gelsite, Inc.
and Wernic Robotics to commercialize these technologies.
So this is going to be available to other researchers and developers.
Exactly.
It'll really speed up the development of even more advanced robots.
This is huge.
It's amazing to see these advancements going from the lab into the real world.
And they're not stopping there.
They've also got MetaDigit Plexus, which is a platform for integrating lots of different
touch sensors into one robot hand.
Oh, so like a universal adapter for robot touch.
Exactly.
Makes it much easier for researchers to experiment.
That's smart.
And they've also introduced the PartiNR benchmark.
What's that?
It stands for Planning and Reasoning Tasks in Human-Robot Collaboration.
That's a mouthful.
I know, right?
Yeah.
But basically, it's a standardized test for how well robots can work with humans.
Oh.
So it's not just about robots doing things on their own anymore.
Nope.
Now it's about cooperation.
So the focus is on social interaction.
Yeah.
And understanding human intentions, adapting to new situations, things like that.
So they need to be more than just efficient machines.
Exactly.
They need to be partners.
That's a really cool way to think about it.
We're moving away from the idea of robots replacing humans.
And toward this idea of them working together.
Right.
Augmenting our capabilities and working side by side.
I like that.
Now, meta isn't alone in embodied AI.
Oh, right.
What about the cart?
They just came out of stealth mode.
And they've developed an AI model called Oasis.
Which can simulate a playable version of Minecraft.
In real time.
Yes.
It's an example of a world model.
Like that?
It's like the AI has learned all the rules and physics of a world, in this case, Minecraft.
It's been trained on tons of gameplay footage and can make new game content on the fly.
So it reacts to what the player does.
Yes.
And simulates the game environment.
That's so cool.
It's like having an AI game master who can create endless, unique challenges.
Wow.
This could really change how we think about gaming.
For sure.
Imagine games that are constantly changing based on your actions.
Just like a personalized experience.
Exactly.
But what about the people who make games?
What happens to them?
That's a good question.
And it's something we need to consider.
Yeah.
It's likely that AI will become a powerful tool for game creators.
You think so?
It could help them create even bigger and more immersive experiences.
That makes sense.
But we also need to think about the potential impact on jobs in the gaming industry.
And how people can learn new skills to adapt.
Exactly.
It's a reminder that AI changes everything and we need to be ready for it.
Definitely.
Oh, and Descartes might face some legal questions too.
About?
Well, training an AI on copyrighted content like Minecraft is kind of a gray area legally.
It's a complex issue, isn't it?
For sure.
We need clear rules as AI becomes more capable of creating things.
Especially when it looks so similar to existing works.
Okay.
And while Descartes is focused on gaming, Google is going in a different direction
with their generalist robot policies.
Yes.
Another fascinating area.
Is it similar to what Meta is doing?
Kind of. It's also about creating more versatile robots.
But Google is focusing on AI systems that can do lots of different tasks.
Learning from tons of data and adapting to new situations quickly.
So not just robots that are programmed for one specific thing.
Exactly.
Cool.
They have this prototype model called Pi Zero or Zero.
Okay.
Which has been trained on tons of tasks done by eight different robots.
Eight. That's a lot.
Like what kind of tasks?
Everything from folding laundry to assembling boxes.
Even learning new tasks by watching humans.
Wow. So it's really adaptable.
The goal is to make robots that are easier to use and better at working with us.
That sounds like a major step forward.
It is.
What makes Pi Zero so good at learning?
Well, one key thing is this internet scale vision language pre-training.
So it's basically learning from the internet.
Kind of, yes.
That's crazy.
It allows Pi Zero to understand a lot about the world.
So it can follow instructions and figure out new tasks.
That's amazing.
It's a big step towards robots that are more like partners than just tools.
I can see that.
Okay. Now let's switch to healthcare.
Sure.
We're seeing AI make a big impact there too.
Especially in diagnostics and personalized medicine.
It's incredible how AI is changing healthcare.
And one company doing amazing work is Adoraxis.
They're the ones developing AI tools for cancer treatment, right?
Exactly.
And their main product is Adoraxis breast.
I read a little about that.
It analyzes tumor images to help doctors make better decisions.
So it can help figure out the best treatment for each patient.
Yes.
And it's super accurate, even better than traditional methods.
It's impressive.
It's like having an AI oncologist helping the doctor.
It could really improve outcomes for patients.
Definitely.
It could mean less chemo, fewer side effects,
all thanks to personalized treatment.
Are they going to use this for other steps of cancer too?
Yes.
They're planning to expand their research to lung cancer
and melanoma.
Wow.
And they're also looking at ways to combine their AI tools
with other medical technology.
To create a more comprehensive approach.
Exactly.
It's amazing to see how AI is giving doctors new tools
to fight diseases.
And empowering them to diagnose and treat more effectively.
Okay, so we've covered a lot in this first part.
We have, from AI-powered search and gaming to robotics and healthcare.
It's clear that AI is changing everything really quickly.
It's affecting almost every part of our lives.
And in the next part, we'll go even deeper into the implications
of all these advancements.
We'll look at both the opportunities and the challenges
they present.
So stay tuned for more after a quick break.
Welcome back to the Daily AI News Podcast.
We were just talking about the rapid evolution of AI
and all the amazing progress in fields like search, gaming,
robotics and healthcare.
It's incredible to see how quickly things are changing.
Really is.
And you know, one of the key takeaways is that AI
is becoming more and more integrated into our lives every day.
That's everywhere.
From our phones to our cars, it's like AI is slowly weaving
itself into everything we do.
And it's happening across so many different areas,
not just in tech.
Right, like I've seen AI being used in music, art,
even finance and government.
It's everywhere.
And another big thing we talked about is the importance
of trust in AI.
Yeah, and that's crucial.
As AI gets more powerful and can make more decisions on its own.
It has to be reliable.
We need to make sure it's unbiased and aligns with our value.
It's not enough for it to just be smart.
It has to be responsible too.
Exactly.
And that's why we see companies like Open AI and Google
focusing on transparency.
Yeah, showing us the sources and all that.
Right, addressing those concerns about misinformation
and hallucinations.
It's good they're taking it seriously,
but I wonder if there are any limitations to these safeguards.
Good question.
Can they be manipulated somehow?
That's something researchers are looking into.
Okay.
Grounding is a good step.
Yeah.
But it's not foolproof.
Right, someone could still try to trick the system, right?
It's possible, yeah.
They could try to influence the AI's responses by messing with
search results or data sources.
So it's like a constant battle.
Kind of a cat and mouse game.
To make sure AI stays trustworthy.
And to prevent people from exploiting its weaknesses.
It highlights the need for constant research and development.
Yeah, we need robust ways to protect against bias and manipulation.
We can't just blindly trust AI, right?
We have to be aware of its limitations.
Yeah.
And use critical thinking when we interact with it.
Absolutely.
It's all about developing AI literacy.
I like that term.
We need to understand how these systems work.
Yeah, how to evaluate what they tell us.
And how to use them responsibly.
That's so important.
Now let's go back to some of the specific things we discussed.
Sure.
Cop an AI's decision to add web search to chat GPT is a major change.
For sure.
It's like opening up a whole new world of information.
Exactly.
And it makes accessing information so much easier.
It's a big step towards realizing the potential of conversational AI.
Imagine having a conversation with the internet.
Yeah.
Asking follow up questions and really diving deep into topics.
It's so much more intuitive than just typing keywords.
Right.
And their partnerships with news organizations are really important too.
Make sure the information is accurate.
Yeah, trustworthy.
Especially in a world where misinformation spreads so easily.
AI could make that problem worse if we're not careful.
Definitely.
But we also talked about how open AI is facing some challenges with compute capacity.
Yeah, those delays are a bummer.
It's a good reminder that AI development isn't unlimited.
It still relies on physical resources.
Those massive AI models need a lot of power to run.
So it's not just about writing code.
It's about having the infrastructure too.
Exactly.
Now what about Google and their grounding with Google search for Gemini?
Ah, yes.
A great example of how they're tackling hallucinations.
It's like a safety net.
It helps to make sure the AI is giving accurate information.
By connecting it to real-time data from the web.
Right.
It's like a built-in fact checker.
That makes me feel better about using it.
And their work with Google Maps is also exciting.
Yeah.
AI-powered recommendations.
Imagine asking for suggestions based on your mood or the time of day.
That would be cool.
It's all about making things more personalized and seamless.
But it also raises those privacy concerns, doesn't it?
Right.
Like we saw with Microsoft's recall feature.
Recording everything you do on your computer is a little creepy.
Understandably so.
It shows that we need to be careful about how we integrate AI.
And have open conversations about the ethical implications.
We need to make sure our privacy is protected.
As AI becomes more powerful.
It's not about being against AI.
It's about being responsible.
Okay, let's go back to embodied AI.
Sounds good.
Meta's work on touch and dexterity is really impressive.
It's mind-blowing, really.
They're pushing the boundaries of what's possible with robots.
Those tactile sensors like MetaSparse and MetaDigit360.
Yeah, it's like they're giving robots a whole new way to experience the world.
It's bringing us closer to robots that can truly feel and understand their environment.
Imagine robots that can perform delicate surgeries or assemble complex electronics.
The possibilities are incredible.
And they're making this technology available to others.
Which is huge.
It's going to accelerate the development of new robots.
And their Partianar benchmark is also important.
Right, focusing on collaboration between humans and robots.
It's not about robots replacing us.
It's about working together.
Augmenting our capabilities and achieving more.
I love that vision.
Now, Descartes Oasis model is another fascinating development.
The one that simulates Minecraft.
It's a great example of how world models can create amazing gaming experiences.
Games that adapt to you and constantly evolve.
It's so cool.
But it also makes me think about the impact on game developers.
Yeah, that's an important consideration.
Will AI become a tool for them or replacement?
It's probably going to be a bit of both.
It's going to change the industry for sure.
And we need to be prepared for that.
And Descartes might have some legal issues to deal with too.
Oh yeah, the copyright stuff.
Training in AI on someone else's work is tricky territory.
Definitely a gray area, legally.
It's another reminder that AI brings up all sorts of new challenges.
And we need to figure out how to navigate them.
Okay, and while Descartes is focused on gaming,
Google is working on generalist robot policies.
Another really exciting area.
What are those exactly?
It's about creating robots that are versatile and adaptable.
Okay.
Like Meta, they want robots that can do lots of different things.
But Google's focus is on AI systems that allow robots to learn and adapt quickly.
So they can handle new situations.
Exactly.
They have this prototype model called Pi Zero.
Pi Zero.
It's been trained on tons of tasks from eight different robots.
Wow, eight.
And it can do everything from folding laundry to assembling boxes.
That's impressive.
They even taught it to learn by watching humans.
That's amazing.
The goal is to make robots that are easier to use and better at working with us.
Like partners, right?
Exactly.
And one of the key things that makes Pi Zero so good at learning...
What's that?
It's something called Internet Scale Vision Language, pre-training.
Okay, that sounds complicated.
It basically means Pi Zero can learn from the vast amount of information on the Internet.
So it has access to all that knowledge?
Yes.
And that helps it understand the world and follow instructions better.
That's incredible.
It's a huge step towards robots that are more intuitive and responsive.
Okay, let's move on to healthcare.
Perfect.
Etaraxis is doing some really amazing work with their AI diagnostic tool.
Etaraxis Breast is a game changer.
It's helping doctors make better decisions about cancer treatment.
And it's incredibly accurate.
Which is so important.
It can analyze tumor images and identify subtle patterns that humans might miss.
So it's like having an AI expert assisting the doctor.
And it could lead to more personalized treatment plans.
And better outcomes for patients.
Exactly.
Less unnecessary treatment, fewer side effects, all thanks to AI.
That's amazing.
They're planning to expand their research to other types of cancer, too.
Lung cancer and melanoma.
Yeah, yes.
And they're exploring ways to integrate their AI with other medical technologies.
To create a more holistic approach.
Exactly.
AI is transforming healthcare in so many ways.
It's giving doctors new tools and empowering them to provide better care.
And it's only going to get more exciting from here.
So we've covered a lot of ground today.
From search and gaming to robotics and healthcare.
We've seen how AI is changing almost every aspect of our lives.
And in the final part of our deep dive.
We'll take a step back.
And look at the bigger picture.
The relationship between humans and machines.
And the ethical considerations we need to address as AI continues to evolve.
Welcome back to the Daily AI News Podcast.
We've talked about some amazing advancements in AI today.
From search to gaming to robotics and healthcare.
Seems like AI is really becoming a part of our lives now.
Not just something from the future.
It really is.
And as we move into this AI driven world.
It's important to think about the bigger picture.
You know, like what does it mean for us?
Exactly.
The relationship between humans and machines.
And all the ethical questions that come with it.
Yeah.
Like we're on a crossroads.
And the decisions we make now will really shape the future of AI.
And how it affects society.
Definitely.
One of the biggest questions is.
As AI gets smarter and can learn and create.
What will our role be?
It's a tough one.
Are we partners, collaborators or maybe even competitors with AI?
Right.
It's hard to say.
But we have to figure it out.
If we want AI to be a force for good, not something that controls us.
It's easy to get excited about new AI features.
Yeah.
But we also need to think about the potential downsides.
Definitely.
AI has the power to solve huge problems.
Like climate change and disease.
But it could also make existing problems worse.
Or create new ones we haven't even thought of.
Right.
So how do we find that balance?
How do we use AI for good while minimizing the risks?
That's the million dollar question.
I think it starts with having open and honest discussions about the ethics of AI.
Bringing everyone to the table.
Technologists, policymakers, ethicists, everyone.
So we can work together to make sure AI is developed and used responsibly.
Exactly.
It's not just about building the coolest, most advanced AI.
It's about making sure it aligns with our values.
And respects our rights.
And makes the world a better place for everyone.
So we need to think carefully about bias, fairness, transparency and accountability.
Yeah.
Those are all crucial.
We need strong safeguards to prevent AI from being misused.
That's a big challenge.
But it's one we can't ignore.
The stakes are just too high.
Now as we wrap up this deep dive into the world of AI.
Yeah.
I want to leave you with something to think about.
Okay.
We've seen how AI is changing everything.
From searching for information to getting health care.
It's amazing how far it's come.
But maybe the most significant impact of AI will be on how we see ourselves.
What do you mean?
As AI becomes more like us, able to learn and reason and create.
It makes us question what it means to be human.
I see.
We have to ask ourselves, what is consciousness?
What is intelligence?
Yeah, those are big questions.
And AI is forcing us to confront them.
Like it's holding up a mirror to humanity.
Exactly.
Making us reflect on our own capabilities and limitations.
And as we continue to integrate AI into our lives.
We have to be open to these questions.
Be willing to challenge our assumptions.
And embrace the unknown.
It's a journey full of both excitement and uncertainty.
But it's one we're all on together.
That's a great way to put it.
So as you think about all the amazing things AI can do.
I encourage you to also consider this.
How do you see the future relationship between humans and machines?
What excites you about the possibilities?
What worries you?
And what role do you want to play in shaping this incredible technological evolution?
Thanks for listening to the Daily AI News Podcast.
And stay tuned for more.