Today : E045-2024 Cyberium Podcast - ChatGPT and the Great Outage of December 26, 2024 - Clear and Advanced Analysis of the Incident by Raffaele DI MARZIO - https://technocratico.it/
On December 26, 2024, ChatGPT experienced an unprecedented global outage caused by a power failure at a critical Microsoft data center in the southern United States. This disruption highlighted the systemic vulnerabilities of cloud-based infrastructures and underscored the urgent need for more resilient architectures to support the increasing demand for AI services. The incident not only affected OpenAI's ChatGPT and API platforms but also had widespread impacts across various sectors, including research, education, and customer support. This analysis delves into the technical and operational aspects of the outage, exploring dependency risks, the need for multi-cloud strategies, and the future of AI infrastructure resilience.
ENGLISH PODCASTS : https://technocratico.it/cyberium-podcast
Podcast distribution Channels Apple Podcat Spotify Amazon Music / Audible YouTube Music YouTube Deezer Castbox Podchaser Podcast Addict iHeartRadio JioSaavn
In each episode, we dive into articles published on technocratico.it by Raffaele Di Marzio or explore his reflections brought to life through AI analysis and techniques, powered by Gemini Pro, which present in-depth discussions in English, explaining the topics in a simple and concise manner. Our mission is to reveal, in a straightforward yet precise way, how technology influences every aspect of our personal and professional lives. Whether you're a tech industry professional seeking expert insights or a curious listener wanting to understand how digital security impacts your daily life, Cyberium is your gateway to comprehending the holistic influence of technology, offering a unique perspective thanks to the integration of cutting-edge AI analysis.
Tune in to gain valuable perspectives and stay ahead in the rapidly evolving tech landscape.
All reproductions rights are reserved by Cyberium Media Miami Productions and Technocratico.it
Content & Direction Creator : Raffaele DI MARZIO https://www.linkedin.com/in/raffaeledimarzio/
For inquiries, you can reach us at podcast@cyberium.media
On December 26, 2024, ChatGPT experienced an unprecedented global outage caused by a power failure at a critical Microsoft data center in the southern United States. This disruption highlighted the systemic vulnerabilities of cloud-based infrastructures and underscored the urgent need for more resilient architectures to support the increasing demand for AI services. The incident not only affected OpenAI's ChatGPT and API platforms but also had widespread impacts across various sectors, including research, education, and customer support. This analysis delves into the technical and operational aspects of the outage, exploring dependency risks, the need for multi-cloud strategies, and the future of AI infrastructure resilience.
ENGLISH PODCASTS : https://technocratico.it/cyberium-podcast
Podcast distribution Channels Apple Podcat Spotify Amazon Music / Audible YouTube Music YouTube Deezer Castbox Podchaser Podcast Addict iHeartRadio JioSaavn
In each episode, we dive into articles published on technocratico.it by Raffaele Di Marzio or explore his reflections brought to life through AI analysis and techniques, powered by Gemini Pro, which present in-depth discussions in English, explaining the topics in a simple and concise manner. Our mission is to reveal, in a straightforward yet precise way, how technology influences every aspect of our personal and professional lives. Whether you're a tech industry professional seeking expert insights or a curious listener wanting to understand how digital security impacts your daily life, Cyberium is your gateway to comprehending the holistic influence of technology, offering a unique perspective thanks to the integration of cutting-edge AI analysis.
Tune in to gain valuable perspectives and stay ahead in the rapidly evolving tech landscape.
All reproductions rights are reserved by Cyberium Media Miami Productions and Technocratico.it
Content & Direction Creator : Raffaele DI MARZIO https://www.linkedin.com/in/raffaeledimarzio/
For inquiries, you can reach us at podcast@cyberium.media
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Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Speaker 1 (00:02):
Welcome to Siberian Here, technology and cybersecurity are made simple
for everyone. Whether you're a tech geek or just curious
about the digital world, we've got you covered. Each episode
we dive into the latest topics from technocratico dot it
and break them down so you can stay informed and protected.
Speaker 2 (00:23):
This is a.
Speaker 1 (00:23):
Siberian Media Miami production. Let's get into it.
Speaker 3 (00:28):
The scab and Gulsius flame make us a blood back
fave to love it to fucking to honss see ourselves.
Speaker 4 (00:42):
And remember this.
Speaker 5 (00:49):
All right, So let's jump into this chat GPT audit
Chah December twenty six.
Speaker 2 (00:54):
Big one.
Speaker 4 (00:55):
Yeah, definitely a big one.
Speaker 5 (00:57):
That this analysis from Technocratico E okay, it's an Italian
cybersecurity blog.
Speaker 4 (01:05):
Interesting.
Speaker 5 (01:05):
They had some pretty good details, so I figured this
would be a good deep dive for us. Imagine you're
just working away using chat GPT and boom it's gone boof.
So we'll figure out what happened, how widespread it was,
and what it all means for AI in the future.
Speaker 4 (01:20):
Yeah, it wasn't just some you know, small hiccup, global blackout.
Millions of users locked out, couldn't get in error messages everywhere.
Speaker 2 (01:28):
Total system crash.
Speaker 4 (01:29):
Yeah, complete system crash. Yeah, think about it. Open ais
API tons of developers use that dam wow. And it
all went down around seven point three eight pm Central
European time. Wow.
Speaker 6 (01:41):
So it wasn't just chat GPT itself that went down though, right, No, no.
Speaker 4 (01:44):
No, this was bigger. This impacted other Microsoft services too,
real like Xbox Cloud gaming. Really shows how connected everything
is these days in our digital world. You know, one
little problem over here can set off a whole chain reaction.
Speaker 5 (01:57):
Yeah, like a domino exactly.
Speaker 2 (02:01):
Kind of unsettling when you think about it, for sure.
Speaker 5 (02:03):
So open aiy they figured out what caused it pretty
quickly though, right, yeah they did. And it wasn't some
like super complicated hack or anything.
Speaker 6 (02:12):
Just a good old fashioned power outage.
Speaker 4 (02:15):
That's it.
Speaker 6 (02:15):
At a Microsoft data center in the southern US.
Speaker 4 (02:19):
You'd think they'd be prepared for that, wouldn't you.
Speaker 2 (02:21):
Yeah, you would.
Speaker 4 (02:22):
Think data centers, I mean they're designed with redundancy in mind.
But I guess not enough backup power at the specific location.
Speaker 5 (02:30):
So it amplified the whole problem exactly. Like you have
a backup generator, but it can only power one light
bulb exactly. So this brings us to the heart of it, right,
open Aiyes, relying on Microsoft Azure for all their infrastructure.
It's got advantages, right, scalability, resources, all that, sure, but
this event shows that it's also a potential single point
(02:50):
of failure.
Speaker 4 (02:51):
Yeah, it's a big risk to take. Putting all your
eggs in one basket, so.
Speaker 5 (02:55):
To speak, makes you wonder if a multi cloud approach
would be better.
Speaker 2 (02:59):
Spread things out a little.
Speaker 4 (03:00):
Yeah, that's a smart strategy, not putting all your eggs
in one basket.
Speaker 5 (03:03):
Right, And this isn't chat GPT's first time having these
kinds of problems, right, There was that bug in March
twenty twenty three exposed conversation titles.
Speaker 2 (03:12):
Oh right, right, and another outage June twenty twenty four.
Speaker 5 (03:16):
I guess even the most advanced AI systems are still,
you know, works in progress.
Speaker 4 (03:21):
Absolutely. We're all learning here, you know, yeah, developers, users, everyone, Yeah, definitely.
Speaker 5 (03:27):
Part of this learning curve, I guess is understanding how
fast growth can really impact infrastructure. Oh yeah, Like when
they launched the GPT store in November twenty twenty three,
that was wild, like.
Speaker 4 (03:39):
A gold rush.
Speaker 5 (03:39):
Everyone wanted in over three million custom chatbots in just
a few days.
Speaker 4 (03:44):
Crazy, right, Yeah, that kind of growth, I mean puts
a strain on any system. I bet shows the demand
for AI tools though. But man, they've got to have
some robust planning to keep up with all that.
Speaker 6 (03:55):
Yeah, the infrastructure has to be able to handle it,
for sure.
Speaker 5 (03:58):
It's like building a skyscraper on you know, a little
tiny foundation exactly.
Speaker 2 (04:02):
It's just not gonna work.
Speaker 6 (04:03):
So what are the big lessons from this whole outage?
Speaker 4 (04:06):
Then, well, it's a wake up call for sure.
Speaker 2 (04:08):
Yeah.
Speaker 4 (04:09):
Anyone relying heavily on AI needs to take this seriously.
Speaker 2 (04:13):
Okay.
Speaker 4 (04:13):
They need to make resilience a top priority, geographically distributed backups,
automated recovery plans, and they should even be using machine
learning for predictive.
Speaker 6 (04:24):
Monitoring so they can see problems before they even happen.
Speaker 4 (04:27):
Exactly, catch them early before they turn into a full
blown crisis.
Speaker 2 (04:31):
So it's not even enough to just have a backup plan.
Speaker 5 (04:34):
You need a backup for your backup plan, exactly.
Speaker 2 (04:37):
Like having a spare tire and roadside assistant.
Speaker 4 (04:40):
There you go, that's a good way to put it.
You're prepared for anything.
Speaker 6 (04:43):
So this outage, I mean, it was bad, but it's
a learning.
Speaker 2 (04:47):
Experience for everyone.
Speaker 3 (04:49):
Right.
Speaker 5 (04:49):
It is making us think differently about AI. It's not
just about you know, making smarter algorithms. It's about the
whole infrastructure that supports them.
Speaker 4 (04:58):
It's the foundation. Yeah, it has to be.
Speaker 6 (05:00):
Strong, so like strong in responsive exactly.
Speaker 4 (05:04):
The December twenty sixth outage Man that was a big
reminder AI's potential. I mean, it's limited by how strong
its foundation.
Speaker 2 (05:12):
Is, and as we rely on it more and more.
Speaker 4 (05:14):
That foundation has to be rock solid, reliable and resilient.
It's interesting, you know, this outage really shows that AI
is tied to the real world in what way we
think about AI as this you know, abstract thing, disembodied intelligence. Yeah,
but it needs physical stuff data centers, power grids, cables,
(05:38):
all of it, and those things can be vulnerable.
Speaker 6 (05:41):
Makes you think about it differently, doesn't it.
Speaker 5 (05:42):
We talk about AI like it's some magical thing, but
it needs a place to live, right, just like us exactly.
Speaker 6 (05:48):
Yeah, so if that home has problems, AI can't do.
Speaker 4 (05:51):
Its thing exactly. That's why the infrastructure conversation is so important.
We can't just focus on making AI systems faster and bigger.
They have to be resilient, adaptable, and secure.
Speaker 5 (06:05):
So what are we doing then to make AI more robust?
I mean, we talked about multi cloud, but what else?
Speaker 4 (06:11):
Well, this is really cool. Actually, we're starting to use
AI to make the infrastructure stronger. Oh wow, AI fighting
for its own survival.
Speaker 2 (06:18):
It sounds like a sci fi movie.
Speaker 4 (06:20):
Right, but it's real.
Speaker 6 (06:21):
So AI is protecting AI.
Speaker 4 (06:24):
Yeah. We have these AI systems that can monitor the
infrastructure constantly live. Yeah, in real time. They can spot
anything unusual.
Speaker 5 (06:31):
Wow.
Speaker 4 (06:32):
And sometimes they can even predict problems before they happen.
Speaker 2 (06:34):
So like an early warning system.
Speaker 4 (06:36):
Yeah.
Speaker 2 (06:37):
That's incredible.
Speaker 4 (06:37):
It is, isn't it. They can analyze tons of data
from sensors and logs and everything.
Speaker 6 (06:42):
Oh wow, So they can see patterns that we might miss.
Speaker 4 (06:44):
Exactly, and then they can flag financial issues.
Speaker 6 (06:48):
So it's like having a doctor that can you see
that you're going to get sick before you.
Speaker 2 (06:52):
Even feel bad.
Speaker 4 (06:52):
That's a great way to put it.
Speaker 2 (06:53):
That's wild.
Speaker 4 (06:54):
And sometimes these AI systems can even take action to
prevent outages really yeah, like switching to a backup power
source or rerouting traffic if there's congestion.
Speaker 2 (07:06):
Oh wow.
Speaker 5 (07:07):
So it's not just about knowing there's a problem. Right,
It's about being able to react quickly.
Speaker 4 (07:12):
Exactly.
Speaker 5 (07:13):
Downtime is the enemy because the longer it's down, the
bigger the problems.
Speaker 4 (07:16):
Exactly. These AI systems, they're helping to keep our AI
tools up and running.
Speaker 5 (07:21):
Okay, so it feels like, you know, we're in this
whole new era of AI.
Speaker 4 (07:26):
Yeah, it's not just about the algorithms anymore. It's the
whole ecosystem that supports them.
Speaker 2 (07:30):
We need a good foundation, yes.
Speaker 4 (07:32):
A strong foundation, responsive. Yeah, And I think this outage
might actually be a good thing in the long run.
How so, because it's making companies realize that they have
to prioritize these solutions.
Speaker 2 (07:45):
You're a wake up call exactly, so we can adapt.
Speaker 4 (07:48):
Learn from it, and build a better AI future, more reliable,
more sustainable. Exactly. It all comes back to us too, right, users,
We're in this.
Speaker 5 (07:57):
AI driven world and we have to recognize the limits,
and we need.
Speaker 4 (08:00):
To push for responsible developments. Ask the tough questions, Yes,
about resilience, security, all of it. It affects all of this,
It really does. AI isn't just some technology. It's shaping
our future.
Speaker 5 (08:12):
And it's not like set in stone right, we have
a say in how AI develops exactly through the choices
we make, the questions.
Speaker 4 (08:19):
We ask, and the investments we make in responsible AI.
Speaker 6 (08:22):
This has been really insightful.
Speaker 2 (08:26):
Well, thank you, thanks for explaining all this.
Speaker 4 (08:28):
My pleasure, and to everyone listening, don't stop learning, keep
asking questions, yeah, and be part of the conversation about
responsible AI development. The future is in our.
Speaker 6 (08:39):
Hands, well said, So where do we go from here?
How can we, you know, as individuals, contribute to all
of this.
Speaker 4 (08:47):
That's a great question and one that we're going to
tackle in the final part of our deep dive.
Speaker 2 (08:51):
So much to think about.
Speaker 5 (08:52):
We've talked about the outage, the infrastructure, and even AI.
Speaker 2 (08:56):
Protecting itself, right, it's a lot.
Speaker 5 (08:58):
So where do we even go from What can we
actually do to make sure AI is more reliable in
the future, you.
Speaker 4 (09:04):
Know, as we finish up here, I was thinking about
this and it's kind of like AI infrastructure is a
lot like the infrastructure of a city.
Speaker 6 (09:12):
Oh okay, I like analogies.
Speaker 2 (09:15):
Tell me more about the city.
Speaker 7 (09:16):
Analogy, Well, a city needs all those systems, right, power, grid, transportation, communication,
everything's connected right, and if one thing fails, it can
mess up the whole system.
Speaker 2 (09:26):
Yeah, that makes sense.
Speaker 5 (09:27):
Like with the chat GPT outage, one data center's power
went out and it caused this huge chain reaction exactly.
Speaker 4 (09:35):
And just like cities need to be resilient, you know,
to handle things like storms and blackouts, Yeah, the world
of AI needs that too. Systems that can adapt, recover,
keep working even when something unexpected happens.
Speaker 6 (09:46):
So what does that mean for AI? Like, how do
we make it more resilient.
Speaker 4 (09:50):
Well, it's not just about having backups, right, It's about
having lots of different systems spread out, not all in
one place he centralized exactly. Like imagine a city where
all the power comes from one plant.
Speaker 6 (10:02):
If that one plant goes down, everyone's in trouble exactly.
Speaker 4 (10:05):
But if you have multiple power sources all over the city,
then if one fails, it's not a huge disaster.
Speaker 6 (10:12):
The rest of the city can keep running, right.
Speaker 4 (10:14):
That's what we need to do with AI infrastructure.
Speaker 5 (10:16):
So like multi cloud strategies, not relying on just one provider,
and data centers in different geographic locations exactly.
Speaker 4 (10:23):
And it goes beyond the physical stuff too. We need
AI algorithms that are more robust, you know, able to
handle messy.
Speaker 6 (10:31):
Data because the real world is messy exactly.
Speaker 4 (10:34):
If things are unpredictable, you're not always going to have
perfect data.
Speaker 2 (10:37):
AI has to be able to roll with it.
Speaker 4 (10:38):
Exactly, adapt and keep going, just like a well planned
city can handle changes and unexpected events.
Speaker 2 (10:44):
Right, So this brings us back to like what we
can do?
Speaker 6 (10:48):
Yeah, as individuals, Right, we.
Speaker 4 (10:50):
Might not be the ones building the data centers or.
Speaker 2 (10:52):
Whatever, but we can push for these changes.
Speaker 4 (10:55):
Absolutely. We can demand transparency from the companies making AI, asks.
Speaker 5 (10:59):
Them the tough questions about resilience, security.
Speaker 4 (11:03):
Yes, support research into ethical AI, sustainable AI.
Speaker 2 (11:07):
It all adds up.
Speaker 4 (11:08):
It does because AI is more than just technology. It's
changing society.
Speaker 2 (11:13):
It's affecting all of us.
Speaker 4 (11:14):
We need to be involved in making sure that future
is good.
Speaker 5 (11:17):
We need to understand it, not just the hype, but
how it actually works and how it's going to impact.
Speaker 4 (11:22):
Our lives exactly, and realize that we're the ones who
are creating this future. It's not just happening to us.
We have choices.
Speaker 6 (11:30):
This deep dive has been amazing. Well, thank you thanks
for breaking all of this down.
Speaker 4 (11:34):
You're welcome, and to everyone listening, keep learning, keep asking
those tough questions, keep the conversation going about responsible AI.
Speaker 2 (11:42):
Because the future really is in our hands.
Speaker 4 (11:45):
It is.
Speaker 5 (11:46):
That's it for this episode of The Deep Dive. Until
next time, Keep learning, keep questioning, keep diving.
Speaker 4 (11:52):
Deep sounds, love solves.
Speaker 3 (12:00):
Are you going to call?
Speaker 2 (12:05):
All reproduction rights are reserved by Siberian Media, Miami Production
and Technocratico dot it.
Speaker 3 (12:11):
For inquiries, you can reach us at podcast at Siberium
dot media
Welcome to Siberian Here, technology and cybersecurity are made simple
for everyone. Whether you're a tech geek or just curious
about the digital world, we've got you covered. Each episode
we dive into the latest topics from technocratico dot it
and break them down so you can stay informed and protected.
Speaker 2 (00:23):
This is a.
Speaker 1 (00:23):
Siberian Media Miami production. Let's get into it.
Speaker 3 (00:28):
The scab and Gulsius flame make us a blood back
fave to love it to fucking to honss see ourselves.
Speaker 4 (00:42):
And remember this.
Speaker 5 (00:49):
All right, So let's jump into this chat GPT audit
Chah December twenty six.
Speaker 2 (00:54):
Big one.
Speaker 4 (00:55):
Yeah, definitely a big one.
Speaker 5 (00:57):
That this analysis from Technocratico E okay, it's an Italian
cybersecurity blog.
Speaker 4 (01:05):
Interesting.
Speaker 5 (01:05):
They had some pretty good details, so I figured this
would be a good deep dive for us. Imagine you're
just working away using chat GPT and boom it's gone boof.
So we'll figure out what happened, how widespread it was,
and what it all means for AI in the future.
Speaker 4 (01:20):
Yeah, it wasn't just some you know, small hiccup, global blackout.
Millions of users locked out, couldn't get in error messages everywhere.
Speaker 2 (01:28):
Total system crash.
Speaker 4 (01:29):
Yeah, complete system crash. Yeah, think about it. Open ais
API tons of developers use that dam wow. And it
all went down around seven point three eight pm Central
European time. Wow.
Speaker 6 (01:41):
So it wasn't just chat GPT itself that went down though, right, No, no.
Speaker 4 (01:44):
No, this was bigger. This impacted other Microsoft services too,
real like Xbox Cloud gaming. Really shows how connected everything
is these days in our digital world. You know, one
little problem over here can set off a whole chain reaction.
Speaker 5 (01:57):
Yeah, like a domino exactly.
Speaker 2 (02:01):
Kind of unsettling when you think about it, for sure.
Speaker 5 (02:03):
So open aiy they figured out what caused it pretty
quickly though, right, yeah they did. And it wasn't some
like super complicated hack or anything.
Speaker 6 (02:12):
Just a good old fashioned power outage.
Speaker 4 (02:15):
That's it.
Speaker 6 (02:15):
At a Microsoft data center in the southern US.
Speaker 4 (02:19):
You'd think they'd be prepared for that, wouldn't you.
Speaker 2 (02:21):
Yeah, you would.
Speaker 4 (02:22):
Think data centers, I mean they're designed with redundancy in mind.
But I guess not enough backup power at the specific location.
Speaker 5 (02:30):
So it amplified the whole problem exactly. Like you have
a backup generator, but it can only power one light
bulb exactly. So this brings us to the heart of it, right,
open Aiyes, relying on Microsoft Azure for all their infrastructure.
It's got advantages, right, scalability, resources, all that, sure, but
this event shows that it's also a potential single point
(02:50):
of failure.
Speaker 4 (02:51):
Yeah, it's a big risk to take. Putting all your
eggs in one basket, so.
Speaker 5 (02:55):
To speak, makes you wonder if a multi cloud approach
would be better.
Speaker 2 (02:59):
Spread things out a little.
Speaker 4 (03:00):
Yeah, that's a smart strategy, not putting all your eggs
in one basket.
Speaker 5 (03:03):
Right, And this isn't chat GPT's first time having these
kinds of problems, right, There was that bug in March
twenty twenty three exposed conversation titles.
Speaker 2 (03:12):
Oh right, right, and another outage June twenty twenty four.
Speaker 5 (03:16):
I guess even the most advanced AI systems are still,
you know, works in progress.
Speaker 4 (03:21):
Absolutely. We're all learning here, you know, yeah, developers, users, everyone, Yeah, definitely.
Speaker 5 (03:27):
Part of this learning curve, I guess is understanding how
fast growth can really impact infrastructure. Oh yeah, Like when
they launched the GPT store in November twenty twenty three,
that was wild, like.
Speaker 4 (03:39):
A gold rush.
Speaker 5 (03:39):
Everyone wanted in over three million custom chatbots in just
a few days.
Speaker 4 (03:44):
Crazy, right, Yeah, that kind of growth, I mean puts
a strain on any system. I bet shows the demand
for AI tools though. But man, they've got to have
some robust planning to keep up with all that.
Speaker 6 (03:55):
Yeah, the infrastructure has to be able to handle it,
for sure.
Speaker 5 (03:58):
It's like building a skyscraper on you know, a little
tiny foundation exactly.
Speaker 2 (04:02):
It's just not gonna work.
Speaker 6 (04:03):
So what are the big lessons from this whole outage?
Speaker 4 (04:06):
Then, well, it's a wake up call for sure.
Speaker 2 (04:08):
Yeah.
Speaker 4 (04:09):
Anyone relying heavily on AI needs to take this seriously.
Speaker 2 (04:13):
Okay.
Speaker 4 (04:13):
They need to make resilience a top priority, geographically distributed backups,
automated recovery plans, and they should even be using machine
learning for predictive.
Speaker 6 (04:24):
Monitoring so they can see problems before they even happen.
Speaker 4 (04:27):
Exactly, catch them early before they turn into a full
blown crisis.
Speaker 2 (04:31):
So it's not even enough to just have a backup plan.
Speaker 5 (04:34):
You need a backup for your backup plan, exactly.
Speaker 2 (04:37):
Like having a spare tire and roadside assistant.
Speaker 4 (04:40):
There you go, that's a good way to put it.
You're prepared for anything.
Speaker 6 (04:43):
So this outage, I mean, it was bad, but it's
a learning.
Speaker 2 (04:47):
Experience for everyone.
Speaker 3 (04:49):
Right.
Speaker 5 (04:49):
It is making us think differently about AI. It's not
just about you know, making smarter algorithms. It's about the
whole infrastructure that supports them.
Speaker 4 (04:58):
It's the foundation. Yeah, it has to be.
Speaker 6 (05:00):
Strong, so like strong in responsive exactly.
Speaker 4 (05:04):
The December twenty sixth outage Man that was a big
reminder AI's potential. I mean, it's limited by how strong
its foundation.
Speaker 2 (05:12):
Is, and as we rely on it more and more.
Speaker 4 (05:14):
That foundation has to be rock solid, reliable and resilient.
It's interesting, you know, this outage really shows that AI
is tied to the real world in what way we
think about AI as this you know, abstract thing, disembodied intelligence. Yeah,
but it needs physical stuff data centers, power grids, cables,
(05:38):
all of it, and those things can be vulnerable.
Speaker 6 (05:41):
Makes you think about it differently, doesn't it.
Speaker 5 (05:42):
We talk about AI like it's some magical thing, but
it needs a place to live, right, just like us exactly.
Speaker 6 (05:48):
Yeah, so if that home has problems, AI can't do.
Speaker 4 (05:51):
Its thing exactly. That's why the infrastructure conversation is so important.
We can't just focus on making AI systems faster and bigger.
They have to be resilient, adaptable, and secure.
Speaker 5 (06:05):
So what are we doing then to make AI more robust?
I mean, we talked about multi cloud, but what else?
Speaker 4 (06:11):
Well, this is really cool. Actually, we're starting to use
AI to make the infrastructure stronger. Oh wow, AI fighting
for its own survival.
Speaker 2 (06:18):
It sounds like a sci fi movie.
Speaker 4 (06:20):
Right, but it's real.
Speaker 6 (06:21):
So AI is protecting AI.
Speaker 4 (06:24):
Yeah. We have these AI systems that can monitor the
infrastructure constantly live. Yeah, in real time. They can spot
anything unusual.
Speaker 5 (06:31):
Wow.
Speaker 4 (06:32):
And sometimes they can even predict problems before they happen.
Speaker 2 (06:34):
So like an early warning system.
Speaker 4 (06:36):
Yeah.
Speaker 2 (06:37):
That's incredible.
Speaker 4 (06:37):
It is, isn't it. They can analyze tons of data
from sensors and logs and everything.
Speaker 6 (06:42):
Oh wow, So they can see patterns that we might miss.
Speaker 4 (06:44):
Exactly, and then they can flag financial issues.
Speaker 6 (06:48):
So it's like having a doctor that can you see
that you're going to get sick before you.
Speaker 2 (06:52):
Even feel bad.
Speaker 4 (06:52):
That's a great way to put it.
Speaker 2 (06:53):
That's wild.
Speaker 4 (06:54):
And sometimes these AI systems can even take action to
prevent outages really yeah, like switching to a backup power
source or rerouting traffic if there's congestion.
Speaker 2 (07:06):
Oh wow.
Speaker 5 (07:07):
So it's not just about knowing there's a problem. Right,
It's about being able to react quickly.
Speaker 4 (07:12):
Exactly.
Speaker 5 (07:13):
Downtime is the enemy because the longer it's down, the
bigger the problems.
Speaker 4 (07:16):
Exactly. These AI systems, they're helping to keep our AI
tools up and running.
Speaker 5 (07:21):
Okay, so it feels like, you know, we're in this
whole new era of AI.
Speaker 4 (07:26):
Yeah, it's not just about the algorithms anymore. It's the
whole ecosystem that supports them.
Speaker 2 (07:30):
We need a good foundation, yes.
Speaker 4 (07:32):
A strong foundation, responsive. Yeah, And I think this outage
might actually be a good thing in the long run.
How so, because it's making companies realize that they have
to prioritize these solutions.
Speaker 2 (07:45):
You're a wake up call exactly, so we can adapt.
Speaker 4 (07:48):
Learn from it, and build a better AI future, more reliable,
more sustainable. Exactly. It all comes back to us too, right, users,
We're in this.
Speaker 5 (07:57):
AI driven world and we have to recognize the limits,
and we need.
Speaker 4 (08:00):
To push for responsible developments. Ask the tough questions, Yes,
about resilience, security, all of it. It affects all of this,
It really does. AI isn't just some technology. It's shaping
our future.
Speaker 5 (08:12):
And it's not like set in stone right, we have
a say in how AI develops exactly through the choices
we make, the questions.
Speaker 4 (08:19):
We ask, and the investments we make in responsible AI.
Speaker 6 (08:22):
This has been really insightful.
Speaker 2 (08:26):
Well, thank you, thanks for explaining all this.
Speaker 4 (08:28):
My pleasure, and to everyone listening, don't stop learning, keep
asking questions, yeah, and be part of the conversation about
responsible AI development. The future is in our.
Speaker 6 (08:39):
Hands, well said, So where do we go from here?
How can we, you know, as individuals, contribute to all
of this.
Speaker 4 (08:47):
That's a great question and one that we're going to
tackle in the final part of our deep dive.
Speaker 2 (08:51):
So much to think about.
Speaker 5 (08:52):
We've talked about the outage, the infrastructure, and even AI.
Speaker 2 (08:56):
Protecting itself, right, it's a lot.
Speaker 5 (08:58):
So where do we even go from What can we
actually do to make sure AI is more reliable in
the future, you.
Speaker 4 (09:04):
Know, as we finish up here, I was thinking about
this and it's kind of like AI infrastructure is a
lot like the infrastructure of a city.
Speaker 6 (09:12):
Oh okay, I like analogies.
Speaker 2 (09:15):
Tell me more about the city.
Speaker 7 (09:16):
Analogy, Well, a city needs all those systems, right, power, grid, transportation, communication,
everything's connected right, and if one thing fails, it can
mess up the whole system.
Speaker 2 (09:26):
Yeah, that makes sense.
Speaker 5 (09:27):
Like with the chat GPT outage, one data center's power
went out and it caused this huge chain reaction exactly.
Speaker 4 (09:35):
And just like cities need to be resilient, you know,
to handle things like storms and blackouts, Yeah, the world
of AI needs that too. Systems that can adapt, recover,
keep working even when something unexpected happens.
Speaker 6 (09:46):
So what does that mean for AI? Like, how do
we make it more resilient.
Speaker 4 (09:50):
Well, it's not just about having backups, right, It's about
having lots of different systems spread out, not all in
one place he centralized exactly. Like imagine a city where
all the power comes from one plant.
Speaker 6 (10:02):
If that one plant goes down, everyone's in trouble exactly.
Speaker 4 (10:05):
But if you have multiple power sources all over the city,
then if one fails, it's not a huge disaster.
Speaker 6 (10:12):
The rest of the city can keep running, right.
Speaker 4 (10:14):
That's what we need to do with AI infrastructure.
Speaker 5 (10:16):
So like multi cloud strategies, not relying on just one provider,
and data centers in different geographic locations exactly.
Speaker 4 (10:23):
And it goes beyond the physical stuff too. We need
AI algorithms that are more robust, you know, able to
handle messy.
Speaker 6 (10:31):
Data because the real world is messy exactly.
Speaker 4 (10:34):
If things are unpredictable, you're not always going to have
perfect data.
Speaker 2 (10:37):
AI has to be able to roll with it.
Speaker 4 (10:38):
Exactly, adapt and keep going, just like a well planned
city can handle changes and unexpected events.
Speaker 2 (10:44):
Right, So this brings us back to like what we
can do?
Speaker 6 (10:48):
Yeah, as individuals, Right, we.
Speaker 4 (10:50):
Might not be the ones building the data centers or.
Speaker 2 (10:52):
Whatever, but we can push for these changes.
Speaker 4 (10:55):
Absolutely. We can demand transparency from the companies making AI, asks.
Speaker 5 (10:59):
Them the tough questions about resilience, security.
Speaker 4 (11:03):
Yes, support research into ethical AI, sustainable AI.
Speaker 2 (11:07):
It all adds up.
Speaker 4 (11:08):
It does because AI is more than just technology. It's
changing society.
Speaker 2 (11:13):
It's affecting all of us.
Speaker 4 (11:14):
We need to be involved in making sure that future
is good.
Speaker 5 (11:17):
We need to understand it, not just the hype, but
how it actually works and how it's going to impact.
Speaker 4 (11:22):
Our lives exactly, and realize that we're the ones who
are creating this future. It's not just happening to us.
We have choices.
Speaker 6 (11:30):
This deep dive has been amazing. Well, thank you thanks
for breaking all of this down.
Speaker 4 (11:34):
You're welcome, and to everyone listening, keep learning, keep asking
those tough questions, keep the conversation going about responsible AI.
Speaker 2 (11:42):
Because the future really is in our hands.
Speaker 4 (11:45):
It is.
Speaker 5 (11:46):
That's it for this episode of The Deep Dive. Until
next time, Keep learning, keep questioning, keep diving.
Speaker 4 (11:52):
Deep sounds, love solves.
Speaker 3 (12:00):
Are you going to call?
Speaker 2 (12:05):
All reproduction rights are reserved by Siberian Media, Miami Production
and Technocratico dot it.
Speaker 3 (12:11):
For inquiries, you can reach us at podcast at Siberium
dot media
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