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In this episode, we present practical insights into OpenAI's Astra and Anthropic's Fable 5.1. We analyze how these tools can be utilized in various business contexts.
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This is Ashley Akinetti from the almost famous podcast.
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Welcome to the podcast today.
We have some big news from almost all of the major AI labs today
as well as some interesting stories
when it comes to AI in science.
The first thing I want to cover is that Anthropic is shipping,
Fable and Mythos 5.1.
They have cheaper tokens and they have some looser guard rails.
Open AI is putting out the Astra model
and it hit a near perfect exploit bench score.
So it's finding a bunch of two,
it found a couple zero day hacks or exploits.
So when it comes to their latest model and hacking,
this is kind of a, this is a wild ride.
In addition, Hollywood right now is pitching,
or Google I should say is pitching Hollywood studios
at $40 million per character for AI licensing deals.
So you can imagine something like Mickey Mouse
or maybe some of the other big names,
SpongeBob Squarepants, right?
They're putting $40 million to get one of those characters license.
It's interesting because Open AI was doing a similar
licensing scheme a while back.
They actually dropped it when they were going to drop Sora
and kind of focus their AI model more on the logic.
The Pentagon has launched ChatGPT Mill and GROC for government
and is on their genai.mill site.
We'll talk a little bit about that.
And the USDA is going to test satellites and AI
for crop estimates.
This is something that they're hoping will help farmers
in the future.
Before we get into all of that,
I wanted to say if you want to get access to the 80
or 90 top AI models in the world in one place,
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So if you're using Cloud Code, if you're
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Wherever workspace or cursor, whatever workspace
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If you want to get access to that connector that lets you
generate all those different assets inside.
The first thing I want to talk about today is the new
Fable and Mythos 5 story, what they've kind of put out
in regards to this.
There's a blog post they dropped and I like in their blog
post, they're very aesthetic these days.
You can like go in and switch the color palette on the banner
image on their blog, which is completely unnecessary,
but it's very cool.
Their blog is titled Cloud Fable 5.1 and Mythos 5.1.
It's kind of interesting.
They're syncing up the naming conventions here with Fable 5.1
and Mythos 5.1.
I feel like that's something that OpenAI really just let
just went wild with in the last couple of years.
All of their different numbering schemes and it feels
like they're getting a little bit more stable now
but the naming conventions have been something that's been
pretty wild.
One thing in particular that I'm excited about with this,
if you go into some of the scientific research they have,
a whole bunch of very cool demos of ways that they're helping
with scientific research, they're showing off different
things that they're doing.
They have a small shield volcano in on Venus that they've
been helping researchers look at.
They have a lot of work around hearts and arteries
and just like the capabilities of this,
obviously are getting a lot better.
They're going to go and focus on how it can help science
instead of how it can help hacking.
It is Fable 5.1 is available today on the any Cloud platforms
and on the Anthropic API.
I really appreciate when it comes out on the API
at the same time because then you're going to get on
all of the different platforms.
Mythos 5.1 is still restricted to cybersecurity
and life sciences partners.
So certain companies are going to get access to that,
but because it's so capable for hacking and all that other stuff,
it's still not available to the general public.
Enterprise Frontier Safeguards,
which is Anthropics Zero Day Retention Tier for Fable,
is going to roll out to users in this rolling out earlier
or rolled out.
And Mythos 5.1 is setting up a bunch of different records
on Terminal Bench 4.0 and Humanities Last Exam.
And it also produced a custom GPU optimization
and high resolution Venus Map pre-release
that I was kind of talking about earlier.
Right now the system card rates, Mythos 5.1,
it's very low risk for automated AI R&D acceleration.
This is kind of in line with some current trends.
Overall, I'm really excited on their announcement,
they said Anthropic has never trained on enterprise data
without explicit permission.
And we never well, this is something
that they've been kind of really putting out there.
There, you know, a lot of people are concerned
that this is going to be getting their companies data
and whatnot.
But overall, really excited, this is a big model.
And there's a lot of big updates.
You can go check out their release and their blog post
to see kind of all of the different things.
They have a section on safety security and alignment.
And they're also talking a lot about some
of the new performance, you know, benchmarks and stuff,
which I'm less excited about the benchmarks
compared to just some of the cool use cases
they've come up with and some of the things
that people are doing with it.
Open AI is getting ready to release their Astra model.
And in anticipation of this,
I mean, this is basically their response to what Anthropic
has come out with their new, with their MyThos 5.1
or, you know, five, which was kind of the big thing
that got in the news.
But this is really something that, you know, they're saying,
look, this is just as capable at security research.
And I mean, technically hacking,
but they don't like to put it that way.
It had basically a perfect score on exploit bench,
which is benchmark measuring how well these AI models
are hacking known system vulnerabilities.
And what I'll say is more important than this is like,
you could say, okay, we know there's this vulnerability,
we're gonna give it, we're gonna see if it can hack it out.
Okay, it got a perfect score.
But there's a lot of security vulnerabilities
that are day zero, meaning, you know, no one knows about them.
And this model has actually gone into that as well
in a modified version of this test,
which was built by Open AI engineers,
Astra actually discovered and exploited two zero day vulnerabilities
without any human guidance, meaning they said, you know,
here's the code base or here's the tool,
go and hack it and it found stuff
that no human had been able to find before.
So it's not like, oh, we know these vulnerabilities
and it gets it, it's going to find brand new stuff.
Open AI says, the Astra is the first LLM to cross
their quote, critical cybersecurity threshold.
So this is basically their highest internal risk tier.
And they're like, look, this model is good enough
that it is at the absolute front of the line
for like, this is very high risk.
And so because of that, they're putting a bunch of guard rails
on it, they're, you know, when they're trained,
if it's able to hack something, they go back
and like try to go fix it and add guard rails.
So access to Astra is most advanced cybersecurity
capabilities are going to be restricted at launch.
This is basically what anthropic is doing with their MyThos
kind of what they did earlier this year.
Open AI is deploying Astra with additional chain
of thought monitoring and account level risk scoring
to catch misuse.
That's interesting to me, right?
Account level risk scoring.
It's like, how high risk is your company
or is your account?
And depending on that is like that kind of like determines
what we're going to do with the model
or what will give you access to.
And so yeah, I mean, this is this is pretty wild.
If you go over and look at their blog post on all of this,
you can see just how much better the they did
on the exploit bench, which by the way,
if you're on Apple, you can now watch this is also videos
and publish on Apple and Spotify.
So you can see the video of this.
If you're interested in the screen shares
all this stuff I'm talking about.
But yeah, if you go and look at it, if you're,
if they give it, you know, 80,000 output tokens,
the Astra model got like a 39 or 40% completion rate
on exploit benchmark,
whereas when you're using something like the GPT 5.6 sole,
which was their previous best model,
it was doing something not quite as not quite as good,
which was closer to they had a closer to 11.5 of completion.
So we're really bumping up.
I mean, that's basically four X on on this internal
poor unexplored benchmark.
So the graph is going up into the right
and these models are getting a lot better.
Google is pitching Hollywood studios $40 million
per character when it comes to certain AI licensing deals.
And this isn't going to be like every single one.
It's not like every characters is going to be paid $40 million.
But I think for the most popular ones,
this is something that they're going to do.
Disney, Warner Brothers, Discovery, and Universal
all have hundreds of millions of dollars
that they're being offered to train Gemini on their libraries.
And they have the per character price tag.
It's so interesting to me because it feels a lot like how you would,
I mean, go and buy data.
Any other data set, right?
Like you, you go by data sets based off of the value
based off of how rare it is based off of the quantity
inside of the data set.
And so now that's like we're putting these intrinsic values
on the characters of, you know, Disney or something like that.
And this is going to be for, of course,
copyrighted characters.
The total deal value across multiple characters
could run into the billions with studios
potentially getting a cut of YouTube AI ad revenue right.
So if they are like, hey, look, we're going to,
I'm assuming they're going to roll this out.
Is YouTube AI or YouTube's able to generate AI videos?
And if it's making ad revenue,
and from a lot of people generating these AI,
you know, generated videos and it's got Mickey Mouse on there,
Donald Duck, or it's, you know, they've got Peter Pan
or whatever their trademarked characters are,
the studios are going to get a percentage of the revenue.
Google's DeepMind already made a $75 million investment deal
with a 24, which was earlier this summer.
And Disney, Warner Brothers, Discovery, and Universal,
none of them are, by the way, sane.
Anything, nobody has signed anything
as of the beginning of this month.
So this is all in talks.
These offers are in talks.
I'd be curious to see if they come back wanting more
or if, you know, what kind of happens there?
Lions dates 2024 licensing deal with runway
has yet to produce any sort of released product.
This was, you know, a couple of years ago,
they had this licensing deal and we haven't seen much come out of it.
But we know that, you know, there's,
there's a lot of money in this.
Over on the LA Times, there was an article,
can't talk about the story in Tom Noonin,
who's a former studio and network executive,
talking about this story, said,
Google's enlisting some of the smartest people in Hollywood
to try to unpack what's inevitable,
which is Hollywood and AI are going to become
reliant on each other.
And how best we can understand that
without just terrifying people.
So he views this as something that is, you know,
it's going to happen and we're going to just have to wait
and see, you know, how this rolls out.
But it's kind of inevitable is why his take is on all of this.
Google is launching Chatchy PT Mill or short for military
and GROC for government on genai.mil,
which if you don't know,
this is kind of a special site only for the military.
If you go there, you know, if you're curious
and you go to genai.mil,
it's going to hit you with a,
you have reached this page because you're not authorized
to visit genai mill from outside of the DOW networks.
If you believe this is an error,
please contact your company's IT's, you know,
your commands IT service desk.
And basically, yeah, you can,
you're not going to be able to get into this if you're civilian.
This is only for the military.
And this is something that the Department of Defense is rolling out.
They launch Chatchy PT Mill and GROC for government,
which is, which is accessible to about 3 million military
and civilian personnel.
Of course, even civilians, right?
These are people that have to be inside of the department.
By genai.mil has already onboarded 1.7 million users,
which is more than half of the Department of Defense's
3 million person workforce.
Anthropics Clawed is not in that portal.
We know that Trump and the whole administration
kind of labeled them as fly chain risk
and they designated Anthropic as such.
And then Anthropic kind of had the whole court battle.
And I think it got overturned at some point.
I'm not sure where we are back and forth on this case,
but it's, you know, missing right now from that list.
GROC for government is shipping under SpaceX's
Starshield AI, which is kind of a secure satellite network,
which is built on Starlink infrastructure.
This is kind of interesting.
This is Elon's way of getting into supplying the government.
And honestly, I mean, I think it's a very smart move,
kind of pairing not just the AI model of GROC,
but also the the Starlink infrastructure, right?
Because if you're in some remote area
that doesn't have cell reception,
or that's really hard to get,
or it doesn't have internet service, accessing chat.
You might be difficult, but you could get GROC,
you know, theoretically through Starlink.
And I'm sure the military's got all of this their own satellite,
you know, connectivity stuff.
So it's probably not as big of a deal as it would be
for your average civilian,
but I think that they have a really good infrastructure layer
as well as the AI model that makes
some an interesting partner.
Pentagon has also signed deals with Amazon Web Services,
Microsoft, Invidia, and Reflection AI.
So there's a bunch of different AI deals going down,
many other AI companies as well.
The USDA is going to test satellites and AI
to help with crop estimates.
There was a bunch of backlash from farmers.
So now the agency is piling this kind of new remote sensing
and machine learning, and their idea is to get better.
They're yield forecasting.
Farmers say that the markets have moved against them a lot
because they say that the yield forecasting is not accurate.
And so it makes it, you know, the price of commodities
or the price of food changes, and it's bad for the farmers.
They're saying so the government's like, okay,
well, maybe we can come in and make this more accurate.
The pilot follows a bunch of criticism from farmers
who say that the USDA yield forecast
have moved grain markets in ways that hurt producers.
The agency's monthly, it's called the WASD,
and it's a report to them, and it basically shows
that most market moving data is kind of going through this
and they release this for global agriculture,
but it basically drives corn, soybean, and wheat pricing.
So, you know, when they say, this is what the yield is going to be,
there's going to be this huge oversupply, all of a sudden,
the price might drop, or if they're like,
hey, there's a huge shortage, then the price for corn might go up.
So, anyways, if there's any sort of government agency
that's affecting the price of something like corn or soybeans,
obviously the farmers that are growing that,
if they feel like it's negatively impacting them,
are going to complain about it.
So, at the end of the day, the best thing I can do
is make it as accurate as possible, using satellites
and using AI is probably the best way to do this.
This is also mirroring what the private sector does.
They use satellite plus AI yield modeling.
So, it's kind of funny that USDA has their own forecast.
A lot of hedge funds have their own, you know, in-house satellite
or drone fleets that are going and measuring all this up,
they're bringing it back to AI to model it correctly.
And they're looking for arbitrage opportunities
where the government overestimated the supplier
and are estimated to supply
and they'll take the over under on those different bets.
They'll make money off of the arbitrage opportunities
of, you know, basically what the government got wrong on that
and what the markets were forecasting ahead of time.
So, anyways, hedge funds have been doing this for a long time
and I'm excited that the government and the USDA
is gonna be getting in on basically the best practice
using AI to make this as accurate as possible.
And I hope that this is a great win for farmers
if you're interested in this story, 47 ABCWMDT
did a great story on this, a great interview
talking about how this is impacting farmers
and what's going on.
And a great quote from that, Dr. Alphild Al-Kulled,
who is UME's associate professor in precision agriculture,
said ultimately these advancements have the potential
to support the development of more resilient
and productive crops and provide better decision
support tools for farmers.
So, overall this should be great for farmers
and everyone involved in the industry.
Thank you so much for tuning into the podcast.
If you enjoyed this episode guys, it would help the show out.
So much if you could leave a rating and review
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All right, thanks so much for tuning in
and we'll see you in the next episode.
This is Ashley Akinetti from the almost famous podcast.
You ever notice you and your spouse keep saying,
we need to get away, but you never actually plan anything.
That was us until we did something fun and spontaneous.
We went to resortpass.com.
There are hundreds of hotel resorts,
pools and spots and private beaches that you can enjoy.
You can spend the day at a luxury resort,
pool, spa, massage, without booking an overnight stay.
And listen, I may have only been like 15 minutes from home,
but it felt like it was a whole different world.
And I'm thinking this is exactly what I needed.
So just go to resortpass.com, choose your resort,
choose your day, luxury, resort, day passes,
start at just $1,500.
Once you post your daycation,
people are gonna ask where you are.
Go to resortpass.com slash almost famous
and use the promo code almost famous
to get $20 off when you spend $100.
That's code almost famous at resortpass.com slash almost famous.
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