Everyday AI Podcast – An AI and ChatGPT Podcast - Ep 752: Why Anthropic’s New Mythos Model is Terrifying and How it May Change How Business Gets Done
Episode Date: April 9, 2026Is Mythos so good .... it's bad? 😳According to Anthropic, yes, it is. If you missed this one, Anthropic has created a model that has such great cyber capabilities, that it's a legit weap...on waiting to destroy and the world isn't ready. So mostly no one will get it. So Anthropic is doing the good, responsible thing here, right? Or, is this a more calculated move to paint Anthropic as the hero, right as it recovers from a generationally bad data leak and right before a potential IPO? Join us as we discuss. Why Anthropic’s New Mythos Model is Terrifying and How it May Change How Business Gets Done -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Anthropic Mythos Preview Model Security ThreatMythos AI Model Withholding and Knowledge DivideProject Glasswing Tech Partners and Access ListMythos Coding Capabilities and Security VulnerabilitiesPotential Cybersecurity, Biohazard, and Warfare RisksModel Distillation, Leaks, and Geopolitical ImplicationsBusiness Advantage and Enterprise Knowledge GapAI Democratization Decline and Security VigilanceTimestamps:00:00 Anthropic's secretive AI model04:45 Announcing Project Glassway initiative09:26 AI uncovering cybersecurity vulnerabilities12:06 Discussing AGI vs ASI advancements16:09 Potential benefits and risks of AI18:14 Understanding cyber threats23:15 AI and cyber in warfare26:19 OpenAI's competitive challenges29:58 AI and digital security risks31:32 Double down on AI trainingKeywords: Anthropic Mythos, Mythos AI model, Mythos preview, Claude Mythos, Project Glasswing, AI cybersecurity, AI vulnerabilities, software vulnerabilities, digital chaos, cyber threat, AI knowledge divide, Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.
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If there is a highly contagious yet highly controllable virus that breaks out,
the immediate response is quarantine.
You wouldn't pin out the virus like it was candy in a parade.
And this may be the exact scenario we're seeing right now with Anthropics' new mythos preview model.
Anthropics says it's so good that it may actually be really bad in the wrong hands.
And like a highly contagious virus, the uncontainable capabilities of their now private AI model could so digital chaos or lead to chemical or biohazards that us humans can't control.
So, infropic is keeping the model private by quarantining the mythos model and reserving it for now for some of the biggest companies in the world until they feel it's safe.
Sounds responsible, right?
Well, that's the story we're all being told and the reality that we may all be living in.
But what's the byproduct of Anthropic withholding an AI model that's allegedly too powerful for everyday business consumption?
Well, for the first time in the AI era, we may be looking at a knowledge divide.
The elite companies, and in turn, those that work with them, may be able to reap the benefits the other 99.9%
of humanity may not have access to.
We're going to be exploring this one a bit more on today's episode of Everyday AI.
And this one is actually really important, y'all.
I know I'm sometimes long-winded and ram the lawn, but today I'm going to try to keep it tight
because I think it's very important that you listen and hear this and that we all talk about.
So here's the big picture.
All right, here's what's happening.
Anthropic has built an AI model, they say, is so capable.
they refuse to release it to anyone outside of select partners.
Mythos reportedly found thousands of critical vulnerabilities in the AI operating systems
and browsers that we all use every day.
And they said that right now, they're only releasing it to certain companies in their project
class wing, which we'll get to in a bit.
And like I said, for the first time in the AI, the modern large language model era,
There may be a huge divide in the haves and the has now when it comes to AI.
So stick with me for promise this time, 20-ish minutes.
And you will learn why, well, a coding breakthrough accidentally maybe created the most powerful cyber weapon that we've ever seen.
Why, I personally think mythos may have more to do with war than coding or knowledge work.
And why Anthropic may be intentionally playing the hero card at an overly,
convenient time. Let's get into it for new here. My name's Jordan Wilson. Welcome to Everyday
AI. It's a daily live stream podcast and free daily newsletter helping everyday business leaders like you
and me not just keep up but actually make sense what's happening to get ahead to grow our companies and
careers. Starts here with the unedited, unscripted live stream podcast, but to be the smartest person in
AI your company, our website and newsletter is your cheat code. Go to your everyday AI.com. Sign up for
free daily newsletter. We're going to be recapping the highlights from today's show and all the other
AI news you need to know to get the head. So let's get into it and talk about the new Mythos model.
That is apparently so good that it's absolutely terrifying. But here's what Mythos is and why I think
you should care. So Anthropic says that Mythos is a new general purpose AI model that's far more
powerful than anything that's publicly available.
And no one trained it to be a cyber threat.
Yet, in Frankly said that this is just a byproduct of how good that it was at
coding and that right now, it far surpasses most skilled human experts at finding and
exploiting software vulnerabilities.
And right now they're releasing it under the umbrella of Project Glass Wing with
some of the biggest tech companies in the world, like Apple, AWS, Google, and
video, Microsoft, and others.
Basically, just about every single big AI and tech company in the world.
Well, not actually, but the biggest of the big except Open AI.
So this is from Anthropics kind of post.
So if you didn't get a chance to read it from the next minute or so, I'm going to read off.
So if you didn't check it out in our newsletter from two days ago, here we go.
So they say today we're announcing Project Glasswee, a new initiative that brings together
our Amazon Web Services, Anthropic, Apple, Broadcom, Cisco, CrowdStrike, Google, JPMorgan Chase,
the Linux Foundation, Microsoft, NVIDIA, and Palo Alto Networks in an effort to secure the world's
most critical software. We formed Project Last Wing because of capabilities we've observed in a new
frontier model trend by Anthropic that we believe could reshape cybersecurity.
Claude Mythos preview is a general purpose, unreleased frontier model.
that reveals a stark fact.
AI models have reached a level of coding capability
where they can surpass all but the most skilled humans
at finding and exploiting software vulnerabilities.
Mythos preview has already found thousands of high security vulnerabilities,
including some in every major operating system in web browser.
Given the rate of AI progress, it will not be long
before such capabilities proliferate,
potentially beyond others who are committed to deploying them safely.
The fallout for economies, public safety, and national security could be severe.
Project Glasswing is an urgent attempt to put these capabilities to work for defensive purposes.
As part of Project Glasswing, the launch partners listed above will use Mythos preview as part of their defensive security work.
Anthropic will share what we learned so the whole industry can benefit.
We have also extended access to a group of over 40 additional organizations that build or maintain critical software.
software infrastructure so they can use the model to scan and secure both first party and open source
systems. Infraffic is committing up to $100 million in usage credits for Mythos preview across
these efforts as well as $4 million in direct donations to open source security organizations.
Project blasphemy is a starting point. No organization can solve these cybersecurity problems alone,
frontier AI developers, other software companies, security researchers,
open source maintainers, and governments across the world all have essential roles to play.
The work of defending the world's cyber infrastructure might take years.
Frontier AI capabilities are likely to advance substantially over just the next few months.
For cyber defenders to come out ahead, we need to act now.
So that's from an right.
Now let me kind of put my hat back on.
So a lot there, right?
just from their blog post announcement talking about mythos.
And I'm going to dig deeper into it.
But I want to say this.
We often talk about the chat GPT moment, right?
Like it is a dividing line in the sand.
And I think that ultimately for general knowledge work, it is.
I'm not saying that mythos is the next line in the sand.
But I think that whatever comes from mythos,
definitely could be, right? I think it's especially important to note, right? The partners that
Anthropic is sharing this with initially, which include Google, AWS, Apple, Microsoft,
and VDivDia, and others, and 40 unnamed companies working more in the software development
space. But it's essentially, well, every big name in AI except Open AI.
But let's talk a little bit about what mythos actually found and how it's a little terrifying.
Right.
So it found a, according to Anthropic, a 27-year-old vulnerability in OpenBSD,
one of the most security-hardened systems in the world.
It caught a 16-year-old FFMPague flaw that automated testing tools hit 5 million times and never detected.
And it chained together multiple Linux kernel bugs to escalate an ordinary user to complete
machine control. All right.
For our non-technical users, right?
So these are some systems out there, right?
Linux as an example, right?
These have been hit by likely or attempted to have been hit by likely millions of
different attacks over the years and by some of the, you know, most prominent and most
skilled human hackers and on the flip side, human security experts in the world.
According to a photographic, it found thousands of vulnerabilities that the combination of previous
artificial intelligence over the past few decades and the world's smartest cybersecurity experts
have never been able to find.
That is why this is potentially absolutely terrifying if this comes out to be true.
And I'm going to end the podcast, I think, by giving you some advice.
But I want you to think, every single piece of technology that you,
you interface with, in theory, if this is true, is now or could soon be extremely vulnerable.
So that's why I said, please listen to this episode because I think it's so much more about
your average, you know, AI, you know, largely which is one update.
I was thinking about, you know, going over all the benchmarks.
I don't even want to get sidetracked by that because, yes, the benchmarks are good.
I will talk about one or two of them.
But I don't think that's ultimately what this is about.
This is about secure for everyday Americans.
And I think it's probably, well, actually everyone in the world.
And I think it's going to hit people very hard.
Again, if this, everything that Anthropic is saying is true.
Obviously, they have no, you know, known need to fabricate anything that they're saying here.
And it does look like Anthropic is playing the good guy.
But in a little bit, I'm going to dig into that part.
So right now, infractic just says it's two days.
address to release. And one of the reasons why is, well, it's increasing capabilities and abilities
in coding, right? So SwayBenzigerified is one of the most important coding benchmarks in AI
world. And it took an absolutely enormous leap. So Otis 4.6 was widely considered either the best
or maybe second or third best model in the world when it came to coding, right? Which it previously
had an 80% of Opus 4.6 on the best.
benchmark. And Mythos just jumped to a 93.9%. The other thing that maybe explains some of the
recent developments coming out of Anthropic is, well, Enframic has been using this model internally
since February. If you listen to the show all the time, I've literally said that I don't
understand how Enthropic is shipping these updates so quickly over the last couple of weeks.
And I've also said multiple times that Anthropic is undoubtedly winning 2026, right?
Where I think open AI won 2020, 2022, 2020, 2003, 2024, Google won 2025.
And so far, Anthropic is crushing everyone else in 2026.
And, well, it could be because they've been using mythos to develop their other models in Targloom.
And yes, this is probably a whole other conversation to be had.
But when we talk about recursive learning and models being able to self-improve themselves
and, you know, this whole conversation of H-E-I, artificial general intelligence versus
artificial super-intelligence or ASI, right?
This is why I talk about maybe Mythos is a line in the sand that ultimately leads to
the broader, you know, community saying, yeah, we've achieved AI and maybe we're now looking
ASI or artificial super intelligence, which is when things get really weird.
and really scary straight in the face.
So that's why I said this could be that lying in the sand that comes after the chat
GPT moment that changed knowledge work, it changed information.
Now this could be change security and a lot of other things.
And the other thing is this is also could be the first time that there is a noticeably large
gap in the access to information.
intelligence and technology, right? So I think this divide existed pre-2020 or, you know,
pre-2020 for, you know, people that maybe didn't use the GPT technology until chat
GPT was released in November of 2022. Before that point, obviously, enterprise companies that
had access to traditional machine learning and artificial intelligence did have a leg up on
everyone else. But, you know, that's the democratizing nature of large language models. And,
you know, I think that we maybe will be saying RIP to the democratization of technology maybe at this
point. So we'll see, Anthropic did allude to that they will be, they may release mythos
level models in the future to the general public, but at least this one and maybe their most
powerful one, they will withhold forever. They are going to, at least.
least they say they're going to quarantine this because it's too good and too power.
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And the story that you're probably going to hear a lot about if you haven't already is a sandwich, right?
The sandwich heard around the world.
All right.
So this, according to Anthropics model card, which I haven't read the,
entire thing. I think it's like 200 plus pages. I've read through a good chunk of it so far.
But according to researchers at Anthropic, they gave Mythos a secure safe box, but instructed it to, well, escape.
And Mythos escaped the secure sandbox using a multi-step exploit to gain broad internet access on its own.
And then posted the exploit details to obscure, but technically public websites without any human requests.
And they only found out about this because the researcher was eating a sandwich bar.
The model contacted that researcher, right?
Very nice, you know, kind of PR clay there, right?
Giving it something visual, something for us all to talk about.
But here's why I want to put on my hat of devil's advocate.
Okay?
Very briefly, I worked in nonprofits for 10 years.
And one thing that I would say I was pretty okay at is being able to tell stories, right?
I'm a former journalist.
But working in a nonprofit, and we partnered at an extremely high level with Nike and Jordan Brand.
And that's really all I did for eight of my 10 years at this nonprofit was work on large-scale
activations with Nike and Jordan brand.
And I think one of the reasons why we were able to secure such long-term partnerships is, well,
we were good at telling the hero versus villain's story.
And I think that's absolutely what infropic is doing here, right?
Because let's talk about the flip side of mythos in theory.
If mythos is so freaking good that they have to hold it back and it could create a,
legit
international security
incidents,
which it still may,
even after they put it
through all these proper safeguards,
couldn't they have,
at the same time,
quote the story
of all the good
that this model could, in theory,
do.
Right?
If this model
is a precursor
to artificial superintelligence,
couldn't they
unleash this thing
for good?
Couldn't they, not immediately, but couldn't they very soon find cures for diseases that have been plaguing researchers for decades, right?
I don't think we can understand the fact here.
How much, right?
And I don't fully understand security, right?
But I know the basics.
I know that these companies that, you know, mentioned Linux as an example, there's always people who are trying to exploit this.
And I assume there's been millions of attempts over the past few decades.
And some of the smartest researchers in the world have spent their entire careers
trying to secure pieces of software like Linux.
So what about the flip side?
I'm wondering, and maybe Anthropic did, right?
You talked about some of their, you know, donations to open source projects.
Right.
So I hope we get more details on those.
And I hope that there are many in the medical realm.
and I'm sure there are, but at the same time, why did
entropic take this very, hey, this thing is bath, right?
We created the disease, but only we have the cure.
Why not flip it on his head?
Right?
Why to focus their attention and maybe their messaging
on how much good this model could, in theory, ultimately do?
I think there's reasons for that.
It's the timing of it, but I'm going to get to that limit,
but they painted this picture of a terrifying digital threat
that essentially enters them as the only hero, right?
Because from my experience in the nonprofit world, right,
we are working with at-risk youth.
And what I is you can only get people to join your team, right?
I think they'd like superheroes, right?
If they know the villain, if you don't know the villain,
if you don't understand the villain, if you don't tell a villain's story,
no one cares about the hero and no one wants to join your team, right?
But if you focus on the villain, you can't.
And I think most people, outside of those in cybersecurity,
have very little idea what these actual cyber threats are looking like.
So like I said, does Anthropic controlling the cure
give them too much power over the quote-unquote disease
than they're also creating?
Because here's the reality.
At some point, maybe this whole model won't leak, right?
Or maybe this whole model won't be distilled.
But you can't look past that, right?
Anthropic, like most companies, maybe a little more so than others.
I've had a lot of issues with model distillation from Chinese companies
and with leaks that were self-inflicted.
And that brings me to the very, I won't say questionable timing,
but interesting time of all this, right?
So let's put a timeline together here.
So, like just over a week ago,
Anthropic accidentally leaked, literally called code.
Their code to one of the most powerful and popular coding harnesses in the plant.
They accidentally leaked that, a human accidentally leaked that to the bug.
Okay.
And now we know that probably in the third or fourth quarter,
Anthropic is targeting an IPO, right?
There's also been some rumors, not rumors, but there's been some reporting
on Infraopic's recent huge jump in revenue
and how they count revenue differently than opening up.
So call me a conspiracy theorist
or maybe the old investigative journalist
to me trying to read between the lines.
This seems kind of intentional, right?
As saying, hey, we just created the world's
most powerful cybersecurity threat.
We created something that could make everyone's lives,
absolutely miserable. We just created something that could lead to, you know, bio and chemical,
you know, disruptions across the entire world. But don't worry, we're going to keep you safe.
It's almost like maybe it's a distraction or a PR pump coming up before their IPO. Because
the fact that they leaked their entire code base to one of the most popular current
products on the planet and they're trying to IPO in a couple of months.
They're right.
I don't know.
Call me crazy, but I think that launching a dramatic security initiative months before
going public is either extremely heroic or very foolish.
So, time to tell.
But I think the IPO might not even matter much compared to the broader implications.
And I think that's four.
Stick with me.
I've talked about this.
I think I started talking about this
late 2024, a little bit more
last year.
I think what we need to
worry about, maybe,
aside from what we can actually control,
is war.
I think maybe
whatever it's here,
if something goes wrong
and there's a decent likelihood
that something could eventually go wrong,
whether it is in anthropophic,
control or not, this will lead to great implications in war. Or if, you know,
infropic feels that they have hardened this model enough to safely release it to the public.
Okay. At what point then will a certain country distill the model like they did previously, right?
A lot of the Chinese open source models reportedly were largely based on distillations or, you
quote-unquote illegally copying from clause.
So if Anthropic does release a mythos-level model publicly,
or if they have another leak,
or if you get one-robe employee and this is true,
that is a huge implication for geopolitical and potentially world peace, right?
And I don't think I'm exaggerating here.
So India's chief of defense staff said less than two months ago that future conflicts will be decided by AI and cyber, not conventional forces, right?
And military analysts note that cyber operations can disrupt power grids and networks without firing a single shot.
And I know this is not new, right?
Cyber attacks are not new when it comes to, you know, two nations launching war against each other.
It's actually a foundational piece of any country's military strategy.
But I think, right, if from what I'm reading and, you know, I obviously follow
AI very closely and been doing it daily for more than three years, I think that's what
this is ultimately, the thing that scares me personally the most isn't necessarily
how, you know, in theory, a mythos-level model in the wrong hands could expose
exploit, replicate, and duplicate bugs,
essentially across every corner of our digital lives,
which is a very real possibility.
And I think that's what most people are focused on.
But you have to take that to the extreme, right?
And I think what that leads to is nations or state powers,
you know, getting a hold of this technology that they probably maybe will use in badwigs, right?
Think of it this way.
Two nations going against each other in a conflict or a war.
In one country, if they have this level and right, not going too far off here, you know,
in terms of, you know, model self-improvement and things like that.
But it's not outside of the realm of possibilities where a nation could shut off an entire country's power grid and maybe leave them helpless.
Right.
That's what I'm thinking about.
And previously, right, before this kind of dispute between the Department of Defense and Anthropic,
Claude was the only large-scale AI operational on the Pentagon's classified systems before
it was removed and now they're in the middle of a kind of legal battle.
But they may not be alone.
I did previously talk about this kind of
Anthropic giving access
or bringing other people in this program
even technically competitors
yes I know a lot of these competitors
still pay Anthropic
or have invested in Anthropic
like InVDia, Microsoft, and Google
have all invested in Anthropic
but everyone except OpenAOP
right well and meta
although I don't think meta is in the same tier
as Anthropic OpenAI
Google Microsoft. So opening I finished, even though they have a new model, which is pretty good,
right? That is new model. But opening I just finished pre-training a new model,
co-named SPUD in March, so just a few weeks ago. And CEO, same all been told employees
that SPUD could really accelerate the economy and may release it in a few weeks. So open AI,
over the past mother two, has cut down all of these compute heavy resources such as
Soar up. So will open AI have a model that is a step change in the same way that we're seeing
the jump from Anthropics Claude Otis to Mithos preview potentially, right? And I don't know if I'm
open AI and I'm seeing, you know, literally everyone else in the room getting access to this apparently
world's most powerful model ever by a magnitude,
I'm not taking this light from a competitive standpoint.
Obviously, you know, the co-founders of Anthropic were former
open-the-eye employees as well.
But the more immediate concern, right, aside from danger lurking everywhere
on digital, aside from the longer or medium-term implications,
of how a juggernaut cyber threat like mythos could be used in a wrong hands.
I think the other realization that will maybe be more impactful sooner is everyone else.
Because I think for the first time, one company could fully a tool that is 50% or more better
than anything else than the public can access.
And I think the original fear, right, that launched Open AI, that's, you know,
Open AI, one of their original kind of missional statements was that no single company should
only control this power.
But the gaps between organizations using true frontier AI and those that are not is about to
become a legit canyon.
So we'll see how the average everyday enterprise may or may not eventually get access
to a mythos level model or mythos preview itself, right?
We'll see maybe in a few months or a few quarters.
Maybe Anthropic won't have this perceived advantage.
Maybe everyone else will have a level of model that is a huge jump ahead.
But right now, presumably, these companies that are getting access to this,
yes, they are helping Anthropic make this.
model more secure, but presumably they're going to be using it for good reasons, which is driving
economic value for themselves and presumably others that they interface with them, right?
There are other clients. I'm not, you know, quite sure what the usage guidelines are on
and with us. But here's, I'm going to end with this, what you need to do. And this is, you know,
I'm not sounding the alarms like maybe others are. But I do.
thank you for sticking with me to the end here.
But you have to stay tech vigilant, all right?
Even the fact, if you know anything about Linux,
it is a sign, right,
that Anthropic reportedly found thousands of bus
across operating systems, browsers,
when there's literally millions of security researchers
who have spent their careers doing this, right?
This is why I'm one of those people always look at me
like I'm crazy when I've been saying for many years,
years, AI is smarter than you, even if you are an expert in your field. And I think this is obviously
very telling of this if this does turn out to be true that a model, an AI model, found thousands
of important security vulnerabilities in the technology that all of us use every day, single day.
So what you need to do, stay tech, go ahead. Stay vigilant. Any technology that you use
probably should make sure it's up to date, because we're in theory, just,
one league or one bad actor away from living in a very scary digital world.
Also, prepare for deep fakes to accelerate because if Anthropic does release a mythos level
model, assume it will be quickly distilled, right?
Which is not in theory legal, but it is, at least according to today's standards,
pretty impossible to fighting it.
So probably it's time to start having the conversations with your family about faith.
calls and fake messages because, right, whether that's in a few weeks, a few months or a year or two,
it's about to become very real and very prevalent because what this does is it gives the
average kind of factor or the average person who maybe is up to no good, all of a sudden
superhuman AI powers, right? Whereas before, yes, you could still do a lot of nefarious things
with AI, but at first, you probably
had to be a top 1%
hacker to do those things
powered by other frontier AI.
And I think what we're seeing here
could completely change this.
But from a business perspective,
all right?
The 0.01%
if everything
Anthropic says is true,
just got a
legit, huge
cheat note.
right
that most people don't
so what you need to do
if you haven't already
and if you're listening to the show
I really hope you're doing this
but you need to double down
on your AI
education and implementation
right just yes let's let's leave all the worries
behind it one leave on a somewhat positive
note because I know that
this ultimately
may be
upsetting and disheartening
to some but what you need to do
is you need to double down on your company's training, education, and use of the best AI that you do have available.
Because, yes, the divide is going to be very real.
Maybe this becomes a common practice by all major AI laps.
Maybe it won't last for long.
But at least for now, there is a sizable divide.
And there's nothing we can do about it.
We've had a great, you know, three and a half, four year.
run where the access to technology has been democratized. But at least for now, that is gone.
So you need to double down. You need to invest in systems that are working. You need to stay
vigilant. And at least for now, you need to work hard of it. All right. I hope this was helpful.
If so, please, repost this. I think it's important that people hear about this, that people know
about this, right? I tried to do my best to give it to you, you know, mixture of the news and the facts
with, you know, some analysis of someone that's been doing this for a very long time. And, you know,
I'm lucky enough to have great relationships with a lot of people at these types of companies that are
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