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In this episode, we explore Mistral's new 'Forage' platform for custom AI models, the Pentagon's development of AI alternatives to Anthropic, and Google's expansion of its personal intelligence features. We also cover updates on BuzzFeed's 'AI slop apps' and the controversy surrounding ByteDance's 'SeedDance' AI video app.
Chapters
00:00 AI News Roundup & AIBox.ai Updates
02:12 Google's Personal Intelligence Expansion
04:03 Pentagon Building Anthropic Alternatives
06:01 Mistral Forage Launches for Enterprise AI
07:40 BuzzFeed's AI Content Experiment
08:40 US Senators Call for SeedDance Shutdown
Links
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but then all you can do is hope the right person comes along,
which is why you should try Zip Recruiter for free.
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Welcome to the podcast.
I'm your host, Jayden Schaefer.
Today on this show, we're talking about some big news in the AI space.
Number one,
Mistral is betting on a build drone AI.
They're taking on OpenAI and Theroppy can enterprise.
Gary Tan has a Claude code setup,
which is getting a lot of people triggered and a lot of people love it.
The Pentagon is developing an alternative to Anthropic.
Some new reports have shown.
And BuzzFeed right now is developing what it's called,
called quote unquote AI slop app.
So they're trying to do this to get new revenue.
Google has a personal intelligence feature that is expanding to all U.S. users
and OpenAI is expanding their government footprint.
And seed dance, the AI video generated company coming out of bite dance.
They actually are getting some serious heat from Congress,
which is calling on them to shut down over basically a lack of guard rail.
So we're getting into all of this on the podcast today.
And we're going to do a deep dive on the seed dance story in particular.
Before we get into all of that, I wanted to mention some huge news for my startup,
which is aibox.ai.
We have just launched video on our platform.
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And we have officially now added video.
So we have two models from bite dance.
They're seed dance.
We have the three different models from Google,
VO, two, three, fast, and three.
We have two different models from OpenAI, including Sora,
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So I'll leave a link.
Let's get into everything happening in the news today.
So the first thing I want to cover is that Google
is expanding their personal intelligence feature.
They're doing this to all of their US users.
So basically they're pushing Gemini a lot deeper
into the Google ecosystem.
And I mean, I thought it was pretty embedded in there.
I've actually been impressed because I've been calling on them
to do this for like over a year now.
But basically they're going to let it personalize responses
using connected data from your Gmail, from your Google photos.
I think what's interesting here is it's not just kind of this
premium user experience.
Google is going to widen distribution.
They're going to put this capability inside of AI mode in search
and on the Gemini app and Gemini in Chrome.
So it's off by default.
But the product direction is very clear
if you want to get that enabled.
I actually appreciate this is off by default
because I do think while it's great and cool
and personal intelligence is awesome,
I don't think everyone's going to appreciate
having their Gmail and their Google photos
automatically opted into AI personalization.
Let's just say, I think the next phase of consumer AI
is not just about better models, but it's about better context.
We know, right, if you if you give chat GPT better context
on what you're asking it to do, AKA like if you're trying to get it to
write you an article, copy and paste an example of that article
or a specific type of document or file, copy and paste an example.
That context makes the output way better.
I think Google understands this and the company right now
that plugs into your email, your files, your browsing, your history,
your photos, they are going to have a massive advantage.
This is something that you know, chat GPT had a big advantage
because people kind of used them at the beginning
so it had all of that history and it could personalize answers
based off of their past chat GPT history.
Google has way more history and data on all of us
for better or for worse.
And I think this is going to give Google
a really big competitive advantage
and they have, you know, so much distribution.
Now they have this, you know, basically they have a huge AI
moat on just data that they have.
So this is going to be interesting.
The next story I want to cover is that the pentagon
is reportedly building alternatives to Anthropic.
This should come as no surprise as the big spat
between Anthropic and the pentagon rolled out earlier
in the last couple of weeks.
There was a obviously very public breakdown
in their relationship and the Defense Department
is now developing replacements
rather than assuming Anthropic is going to remain part of its stack.
I think that is following the broader clash
over military use, surveillance and autonomous weapons.
And at the same time, I did see that Congress
is pushing to create red lines on what AI could
and couldn't be used for.
I for one think that if we're going to have this stuff
regulated, Congress is the place for it to happen.
If we're going to make rules about what AI should
or shouldn't be used for, Congress is the place for that to happen.
I don't love the feeling that let's say we're,
you know, we're going to go and use a model
that is perhaps Anthropic, right?
Totally cool American model.
They make rules that the military doesn't like
about what they can and can't do
according to the terms of service.
What happens if Anthropic gets as a private company,
gets purchased by let's say a Chinese investor
or a Russian investor and all of a sudden,
they can kind of manipulate the terms of service
of the company, which is being directly used by the military.
So I mean, I'm sure the government would block
any sort of acquisition by that.
But it just really, I just don't like the companies themselves
creating the terms that the government has to follow through.
So I appreciate that Congress is looking into this.
And I hope that Anthropic doesn't, you know,
doesn't get wrecked too hard financially from that decision.
It'll be interesting to see what happens in the future.
I know a lot of consumers are kind of supporting the company
because they agreed with some of the reasons
why Anthropic had a follow-up with a Pentagon.
So we'll see.
I do like Anthropic.
I do like Clod's one of my preferred models
for really high quality outputs.
But I just don't think it's a good precedent
for American tech companies to basically
make the rules that I think Congress should
on, you know, military use or what the government should be doing.
All right.
The next thing I want to cover is that
Mistrel has just launched what they're calling Mistrel Forage.
This is an Nvidia GTC.
It's one of the most important enterprise AI product moves.
I think that I've seen today Forage is basically designed
to let enterprises and governments build custom models.
So it's going to be trained on their own data.
Not just kind of like lightly fine-tuned.
I think with all of this, Mistrel really is betting
that companies want a lot more control.
They want a lot more customization.
They want a lot less dependencies on someone else's
kind of black box road map.
And so I think right now, Mistrel is trying not just
to win the consumer chatbot race head on,
the going after a part of the market where control, governance,
kind of like multi-lingual performance, long-term ownership.
A lot of that matters more than just raw consumer
mind share.
And I think that's important because if Mistrel is really
on track to surpass a billion dollars
in annual recurring revenue this year,
then it's definitely going to be a serious enterprise challenge
to kind of having the open AI or anthropic
kind of duopoly narrative that we see right now.
And of course, I think we just like Mistrel isn't going to win
especially not in the United States as a French company.
So perhaps in France it's the most popular,
but in the United States, this is not the most
popular chatbot for consumers.
So they really got to focus on going the enterprise route.
We've seen this from other players like Co here.
All right, the next bit of tech drama I have for you
is a culture battle for Gary Tann's Claude code setup.
It went viral, it had almost 20,000 GitHub stars,
had 2,200 forks after he basically opened source to his workflow.
A lot of supporters say that like, hey, this is super legit.
Haters were saying it's basically just an overhyped prompt package.
Something I thought else was interesting.
Buzzfeed is launching a wave of AI powered content apps.
They're trying to basically unlock new revenue streams.
So they're doing things like quizzes, content generation,
a lot of personalized media experiences driven by AI.
This is kind of interesting for me right now
because media companies are not debating right now
whether to use AI.
They're basically just experimenting really aggressively
with it in order to survive.
So many of these media companies are launching
and lawsuits against open AI and Anthropics.
They look, you guys scraped us.
Now people don't need to read our content anymore.
And I mean, there's all sorts of arguments
that they're trying to make.
But at the end of the day, they know that AI and the age of AI
is shifting how people read the news, how they get information,
how they see ads.
I think the problem is that most of the content right now
and a lot of the content risks
become what the internet is already complaining about, right?
There's this kind of low-quality AI slop.
So the business model from Buzzfeed right now
and this kind of wave of AI powered content apps
isn't very clear, but they're obviously experimenting.
It'll be interesting to see
if they're able to actually make money off of this.
So the biggest story that I've seen today
is it's in politics and it's basically a preview
of I think what AI regulation is about to look like.
There are US senators that are now calling on bite dance
to quote unquote immediately shut down.
They're AI video app seed dance 2.0 seed dance.
Basically let's users generate AI video
and you can make these videos of real people
or you can do things of videos of something
that is like a licensed character
and not inspired them by them, not kind of loosely based on them.
But you can directly use their likeness.
So basically we're talking about content featuring people
like Tom Cruise, Brad Pitt.
You could do someone from like stranger things, right?
And you could basically generate all of that with seed dance.
Now seed dance is a big app as it's incorporated
straight into cap cut, which is one of the biggest
video editors in the world.
And by the way, I also have seed dance.
We just launched video on AIbox.ai.
So we have it over there if you want to try it out.
But right now they're getting a lot of heat
because two senators, one Republican, one Democrat.
They both sent a letter to bite dance
saying that this is one of the clearest cases
of copyright infringement they've seen from an AI product.
And then basically they're just saying
shut it down and put real safeguards in place.
I don't think it's just politicians.
I think Hollywood is probably lobbying this pretty hard.
The Motion Picture Association apparently sent a cease
and desist.
There's lawsuits that I think are probably coming from this.
And bite dance right now has already
paused the global rollout or they're trying to deal with kind
of some of the legal fallout of this.
And I'll be honest, I've actually tested seed dance 2.0.
And I was really impressed with it.
I was a little bit shocked that you could, yeah,
generate a video of Tom Cruise.
And like there was, I don't know, no sort of guardrails.
Personally, as a user, I was like, wow, this is super cool.
This is the first video model that feels like
you just do anything I tell it.
But yeah, we're about to get that nerfed a little bit.
And maybe it's for good, and I don't know,
for me as a user, it's kind of disappointing,
but whatever, maybe that's all good, right?
And models are obviously trained on a huge amounts of data.
And that includes cooperating materials, right?
So when you're sucking in all the video on the planet,
you're inevitably going to get tons of clips
of Tom Cruise and Brad Pitt and all these other actors.
Up until now, I think most of the debate has been
pretty theoretical, because OpenAI,
doing something like Sora, or Google VO3,
has been, these are very responsible companies,
or at least they're trying to be,
in how they do that with Sora,
all of that kind of, quote unquote, deep fake videos
that you'll see coming out of those,
are people that are giving their permission generally,
so you can kind of clone yourself
and allow yourself to be remixed on Sora too,
if you want to do that.
But it's not something that I think by default,
you can do super easily.
So there's kind of these guardrails
that other people have put into place
and see dance evidently did not do it.
So I think right now, on the one side,
governments do not want to slow down AI innovation,
especially when they're competing with countries,
we're competing right now with countries like China.
So I think we are being pretty aggressive on building
with AI in the United States right now,
a lot more than a lot of other countries,
like Europe that have already put a lot of heavy regulation in there.
But on the other side, if you ignore,
I think all of the intellectual property and personal rights,
I know I kind of complain about it,
and I'm like, oh man, is it user?
It was super fun, but yes, I get it, right?
Like we can't have all the intellectual property
completely ripped off.
That being said, like these Chinese models,
like see dance, I'd be curious if they put guardrails
on just the American models and the Chinese models,
they just let anyone do anything with.
And it's honestly a very realistic possibility
in world that we live in.
So I think what we're moving towards is
not really just kind of targeted,
or just kind of like a sweeping AI regulation all at once,
we really have this kind of targeted enforcement.
If you build a tool and people don't like it,
all of the lobbyists, yell at the senators
and all of the senators, write letters,
and then you kind of got to shut it down pretty quick.
And you have like these pressure campaigns.
And anyways, the regulation is really kind of crazy right now
and they're trying to move it to break and exit speed.
I think right now, bite dance is going to lose
in the short term because the product is now
under a lot of scrutiny.
Now they're going to have to delay it.
I don't think this is the last time
we're going to be hearing about this.
I think this is kind of a problem
that we'll be going on for a long time into the future.
And also like let's just be honest here,
whether you agree with not having these copyrights
in intellectual property and personal rights
inside of the videos,
there's going to be a lot of these open source models
that will allow you to do this regardless.
And there's basically nothing we can stop.
They'll come out of China.
They'll come out of a lot of,
I mean, basically they'll come out of China.
And you'll be able to make clones of people.
And I think there's all sorts of terrible sides of that.
So I'm not really trying to be a doomer,
but I mean, I'm trying to be realistic.
That's what's going to happen.
So I'm curious to see how it plays out.
We'll obviously regulate a lot of the major hyperscalers.
But beyond that,
it's not like the technology is getting bottled up
or the regulation is going to,
I mean, basically do anything.
Even when it comes to like voice cloning,
there's the Quinn 3 TTS model,
which came out of Alibaba.
It's an open source model.
You throw it on your computer.
There's no verification.
You upload three seconds of anybody talking
and you can clone their voice.
Now for me personally,
I've actually used that model because I'm like,
oh, sweet, I can run a voice clone on my laptop.
I don't have to pay thousands of dollars to 11 labs.
It's like, so as a user, it's useful at what cost,
but I mean, it's out there anyways.
So I'm just going to use it.
But yeah, I mean,
I just think it's an important thing.
I'm not saying whether that's good or bad.
I mean, probably it's bad,
but there's nothing we can do about it.
So be prepared for a world where the intellectual property rights
can get regulated for these big players,
but there's going to be the open source models out there
for everything and there's a lot of implications for that.
Thanks for tuning into the podcast, guys.
If you want to try out all of the latest models,
including all of the new video models
that we've added to AIbox.ai, go check it out.
There's a link in the description.
You can get started for only $8.99 a month, guys.
It's cheaper than basically any single AI platform out there.
And you get access to 78 different AI models now.
We're going to keep adding more.
We're super excited to the platforms growing like crazy.
Let us know if you have any feature requests.
We're trying to add them like madmen.
But yeah, we just added music last week.
We added video this week
and we have more exciting stuff coming next week.
So stay tuned.
Thanks so much for tuning in.
And I'll catch you in the next episode.
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