Senators Say "Shut AI Down", Mistral Forage, Pentagon AI, Google AI

Welcome to the podcast.

I'm your host, Jaden 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 Therophic and 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, 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 US 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 guardrails.

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.

So in the past, you know that you got access to over 40

of the top AI models all in one place.

You could kind of chat with them in a playground.

We had image, text, and audio.

And we have officially now added video.

So we have two models from bite dance, their 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,

two, and Sora, two pro.

And we have Pixiverse V5 from Pixiverse.

So there's a ton of amazing video models

that are now on Open or now on aibox.ai.

If you don't have a subscription already,

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You get access to 78 different AI models.

Guys, in the past, you've heard me say 40 models a million times.

I'm actually kind of stuck in that.

But we keep adding new models.

And I just counted right now.

We're at 78 new models on AI box.

Everything from text, image, audio, video.

More announcements coming, tons of new features,

subscriptions are going crazy.

And we actually doubled revenue last month, which is amazing.

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it's linked in the description, aibox.ai.

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And we have 20% off if you get an annual plan.

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 that'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, well, 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 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 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 thing 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

be used for, Congress is the place for that to happen.

I don't love the feeling that let's say 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 the Pentagon.

So we'll see.

I do like Anthropic.

I do like Claude.

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 Mistral has just launched

what they're calling Mistral 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,

Mistral 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, Mistral is trying

not just to win the consumer chatbot race head on,

but 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 Mistral 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,

duopoly narrative that we see right now.

And of course, I think we just, like Mistral,

isn't going to win especially not in the United States.

This is 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 Tans,

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 over hyped

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 lawsuits

against open AI and anthropic saying, 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

in 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

their AI video app, seed dance 2.0.

Seed dance basically lets 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, bite 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 CapCut, 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

there's lawsuits that I think are probably coming from this

and bite dance right now has already

paused the global rollout where 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?

AM models are obviously trained on 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 the 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

and 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 we 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

right letters and then you like 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 next 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 QN3 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.

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 properties

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.

I'll catch you in the next episode.