Welcome to the AI Chat Podcast. I'm your host,
Jaden Schaefer. Every day I cover cutting -edge
AI news and talk with the leaders behind it,
breaking down what it means for your life and
business. Anthropic is launching Claude Science.
This is going to be a workbench for researchers.
Base44 is launching their very own AI model.
They're trying to protect their $100 million
in annual recurring revenue for their vibe coding
business. And X has just launched a hosted MCP
server. So it's going to open its API to Claude,
Cursor, Grok, Build, which if you know anything
about the backstory of X and their API, this
is quite a big deal. Claude Sonnet 5. It's going
to be $2 per million input tokens. And Google
is shipping Nano Banana 2 Lite and Gemini Omni
Flash 2 developers. So tons coming out from basically
every top AI model today. We're going to get
into all of that. Hopefully, it's not going to
be too noisy from my end. It is a hot, sunny
day in North Carolina where I'm at right now,
and I am currently bouncing a baby on my lap.
My wife did not sleep a lot last night, so trying
to let her get some rest, holding the baby. You
probably heard me say this before on the podcast.
But anyways, if you can hear a little gurgling
and gooing in the background, that would be what
it's from. If there's any repetitive AI tasks
that you do, like writing newsletters or emails
or generating graphics or anything you do on
a repeated basis, I would love for you to go
check out my startup, AIbox .ai. We have a no
-code AI app builder where you basically just
explain what you want it to do, whatever your
workflow is, and it automatically links together
different AI models and creates a workflow for
you that you can use on a repeated basis. This
saves me a lot of time because AI definitely
is a huge... for being more productive. But at
the same time, if you're just using it to do
the same thing over and over every single day,
you should probably just automate that. So if
you want to give it a try, go to AI box dot AI
slash builder. I'll leave a link in the description
to go check out the builder platform that we
have. We have over 80 different AI models that
you can link together and build some really incredible
automations to hopefully save you a ton of time.
And it's only $8 .99 a month to get started.
I'll leave a link in the description. Kicking
it off with Anthropic. They've just launched
Claude Science. So this is going to be a workbench.
It's connecting 60 different scientific databases
and a bunch of pre -built research tools for
genomics, protein structures, chemistry. And
all of this is going to run on Claude Opus 4
.8. So sorry, Fable 5, not there yet. I'm sure
when that comes out, we may get that rolled in
as well. And it's going to come with $30 ,000
in free credits. They're going to be giving this
way to 50 different academic projects. And they're
making this bet that basically workflow is going
to beat raw capacity for getting these... researchers
to be using Anthropic. So there's no new model
or gating, but Claude Science uses the same Claude
Opus 4 .8. It's basically available to everybody.
And there is no biology fine -tuning or specialized
weights. They've been testing this with a few
different people and have had some impressive
wins. They had UCSF Brain Tumor Center that was
using it to compress geloma germline analysis
workflows. We had the Allen Institute's Jerome
Lecoq, who is building a computational review
pipeline. line. And we have Novo Nordisk, who's
one of their launch partners, what it's actually
doing is that it's able to spin up these multi
agent architectures. And they're going to let
all of these scientific researchers create parallel
sub assistants. And they're going to be doing
sequence analysis, they're going to be doing
structural prediction, they're going to be doing
fact checking. And the reason why this is so
powerful is because all of that can be happening
while they're also keeping their full reproducibility.
So the code, the environments, the message history,
all of that, they're going to be able to reproduce.
So there's a bunch of basically custom that scientists
need. And Anthropic has built that in. They're
giving away a bunch of grants, hoping to show
people that this is the, you know, Anthropic
is the best place if you're doing science. Okay,
Base44 is launching their very own AI model.
And the reason why is, by the way, I didn't realize,
but Base44 is owned by Wix. It's an incredible
vibe coding platform. I've been really impressed
with it. It's not the one that I primarily use
because I'm just using cloud code for mostly
everything I do. But if you're getting started,
I think anywhere between Loveable and Base44
Base44, those are my two favorite. Anywhere is
also a great platform. But in any case, Base44
is $100 million in annual recurring revenue,
and they just launched their brand new model
called Base1. So this is their very own LLM.
This is actually very similar to what Cursor
is doing, by the way. But this LLM is trained
on tens of millions of real user interactions.
So what's interesting is because they're able
to... you know, have tens of millions of users
using them to create their tools, they can take
all of those conversations. And I'm not sure
if it's every single user, if they had people
opt in, it's probably every single user, and
it's just part of their terms of service. But
they're taking everything that those people have
been saying, and they're training their model
to basically fine tune what people need when
they're building websites, apps, and software.
Now, what's interesting to me about this is they
know exactly like when someone's building software,
and you know, theoretically, anthropic and codex,
like for opening, I should have this as well.
But they know every time that someone asks it
to build something and it does it, and then they
give a follow -up, they're like, oh shoot, every
time someone asks for this, you know, for X,
Y, Z, they typically ask for these next five
things. And that could either mean that when
they first ask, they don't know exactly what
they want, or there's traditionally a bug that
follows, or there's a gotcha or something like
that. But essentially they can fine tune this
model that they have to know exactly what they
want to, what people are basically, the direction
they're going before they even go there, right?
They're like, hey, I want like a fit. in this
app and like oh these are probably the five features
they want so either they'll ask them right away
or they'll just start building stuff in or they'll
set up the architecture in a way that is ready
to go now there's a couple cool things that they
can do with these fine -tuned models one of them
being that they can make them much more efficient
and so they're able to cut the costs for their
users which of course is fantastic but also if
someone's talking to their model and they're
like oh you know what our you know our base one
model would be a lot better than sending it to
opus 4 .8 all of a sudden they're able to switch
people over to the more efficient model, save
the user money, and they're also keeping exclusive
data, right? Because if they're not sending data
over to OpenAI or Gemini or... all of a sudden
they're not able to train with all of that data.
So we're also seeing the same thing coming out
of Cursor. So a bunch of different players that
are interacting with code are basically intercepting
the code and the conversations people are having
and knowing what people want, and they're being
able to train their own fine -tuned models with
it. So base one, basically they're saying this
is designed to replace Anthropix Opus for app
generation workloads, and it's going to try to
give them a really direct control over latency,
cost, and inference speed. And they're not going
to have to rely on any third -party APIs. And
also, by the way, you know, this is a big cost
for them because when you get a subscription
to Base44, you pay them for tokens, but a huge
chunk of your token bill just goes straight to
Anthropic, right? It's like they're given a huge
chunk, but if they can do it directly on their
servers and if they have, you know, a cost -efficient
way to do that, they're actually able to make
more money. So Lovable that I've mentioned many
times is, of course, their rival in Sweden, and
they still use external LLMs. They have about
$500 billion in AR. so they're about five times
bigger. But they do have some really solid backing
because Wix acquired them for about $80 million
when they were only six months old with eight
employees. Their parent company is now cutting
about... 20 % of their workforce. So, you know,
Wix is cutting down, but evidently Base44 is
accelerating. And my prediction here is that
if Base44 really pulls this off, Base44 will
actually end up being much bigger than Wix, which
is pretty wild considering they bought it for
$80 million. It's already doing more than $100
million in annual recurring revenue. So they
were just, you know, blasted past even the acquisition
price. This was an amazing deal for Wix. All
right. The next thing we got to talk about is
that X has just launched a hosted MCP service.
server and if you know x like they when they
when elon originally bought twitter he immediately
shut down the api because i think open ai and
a bunch of other people just had like a full
firehose blast of all of the api data and they
were using it for training elon shut that down
realizing how valuable it was we saw similar
moves from reddit and other players afterwards
but now that x is kind of launching this new
mcp they're going to let tools like claude cursor
grok all tap into x ai's API, and specifically
your own account. So if you have your own account
or your own permissions, you can let the you
can let the MCP tap into that. I'm sure there's
a ton of like market sentiment analysis, you
know, great things that you can do with this,
there is an API. So big firms, you know, like
hedge funds that are trying to, you know, measure
people's sentiment analysis on the FIFA World
Cup to determine how many hot dogs are going
to be sold and blah, blah, blah, blah, and do
all their like crazy, you know, hedge fund calculations,
those types of things, they already have an API
there. going to be using this. This is more for
your average user. An MCP means that you can
get all of XAI's data into your cloud that you're
actively using. So for regular people, I personally
would love to connect the MCP for when I talk
about AI news here, I would love to get maybe
like some sort of brief on every story I'm going
to cover with the top tweets and the top comments
on those tweets. So if my MCP could go and pull
that, that'd be really useful. Traditionally
trying to get like cloud to go and scrape X for
good tweets is notoriously hard. I've had a hard
time doing that. And I basically just have to
go manually scroll X myself. It would be fantastic
if I could save some time and just, you know,
surface the best things. Basically, I mean, what's
kind of cool is if you have an MCP into something
like X, and I know I'm getting off the rails
here, but you can imagine the same thing with
Reddit or any other social platform. You can
fine tune your own algorithm, which I think threads
and Mark Zuckerberg's trying to let people kind
of do that with threads. But it's like in threads
anyways, it's like show more posts about this
specific topic for the next like four weeks.
And then anyways, it's not like a permanent thing.
This would be cool. I would honestly almost remake
my own X feed because I probably get, I'm sure
I interact with it, but I feel like I get like
way too much politics in my thread that I really
want to interact with in any given day. So, and
it's probably my own fault, but it would be really
cool to just intentionally be able to use this
MCP on X and say, look, I just want AI news.
I just want, you know, news from these, you know,
500 companies that I'm trying to follow in AI
and get more of a streamlined stream of content
around that. That'd be cool for me. you know,
the first big company to do an MCP. It feels
like basically everyone has an MCP, even my own
company, AIbox .ai. We have an MCP. So, you know,
traditionally people would go to our site. There's
80 different AI models, audio, text, video, and
people would go chat with them in our playground.
And, you know, you pay like $9 a month and you
get access to every model. But a lot of people
are like, look, all of my workload is, all of
my work is happening inside of Clod or inside
of ChatGPT. So we created an MCP and now you
can get access to all of our different tools.
You can get, you know, like Clod can, have image
generation and audio generation, which it didn't
have before. So MCPs are very valuable and XAI
is not the first one. GitHub, Slack, Stripe,
Salesforce, all of them have official MCP endpoints.
The API pricing, if you're going to do that with
X is still going to be 0 .015 per published post
and about... 20 cents per post with links. That
was set earlier this year. They basically said
they're trying to curb spam at scale. But the
hosted server is showing some new capabilities.
There's search, there's post retrieval, there's
user lookup, there's trend analysis. All of that
is cutting down a lot of integration time for
people trying to work with X. So I'm going to
be excited to test that out. Anthropic is shipping
Claude Sonnet 5. It's going to be $2 per million
input tokens, which is undercutting Opus 4 .8.
And it is about... 63 .2 % on agentic coding.
So it's within about six points of Opus 4 .8.
You can only imagine, right, the next model,
which is Fable 5. I mean, they already dropped
it, but it's going to be significantly better.
It's interesting because the, you know, their
headline model got pulled back. So now they just
have all of their like, all of their their worst
models are, you know, they're more efficient
models. They're less powerful models, they're
starting to catch up with their main model, because
they can't even, you know, update their main
model to be its best, which is really interesting
to me. So this model is going to basically become
the default for all free and pro users starting
on Tuesday. I think that is just showing that
agent capable AI is now really important across
basically every tier. This isn't going to be
just a premium feature. And I do think that it's
promotional pricing, the $2. for the inputs and
the $10 for the outputs. That is going to be
running through August 31st. And we see this
from Anthropic a lot. Like I think if I go on
my account right now, they're like, you know,
the beginning of July, it's 2x credit usage.
And I mean, basically at this point, I'm just
trying to get my max out my usage every single
week because I feel like you're getting a really
great deal. And I don't know how long that will
last, but that's going to increase from $2 to
$3, which is still cheaper than Opus 4 .8 and
GPT 5 .5 and Gemini 3 .1 Pro. So it's still cheaper
but it's uh yeah until august 31st we got the
two dollar price it's going to then go up to
three dollars um and you know maybe we'll have
new models coming out then so who knows what
happens in the future but on knowledge work benchmarks
sonnet 5 is slightly better than opus 4 .8 which
is pretty crazy right like sonnet is the you
know the the lower quality model than opus but
because they can't upgrade opus now the worst
version is actually better than opus 4 .8 i think
that's just kind of showing though the cost per
task efficiency is now really important it's
more than more important than maybe the raw reasoning
rank and if you want to spend a ton of money
you can go use something like clod code and turn
on like you know their super code mode or whatever
It gives you, you know, waste more reasoning,
but it uses a lot more tokens. A lot of early
testers say that there are fewer mid -task stalls
in some of the multi -step workflows. Zapier's
two -part Salesforce automation completed where
I think a bunch of previous models, they were
trying to do that two -part Salesforce automation,
and it was getting about halfway through and
it abandoned it. So anyways, it seems like this
is going to be much more efficient. Speaking
of new models, they're not the only one. Google
is shipping Nano Banana 2 Lite and also Gemini
Omni Flash. to developers. It is a text -to -image
model. It's going to generate in about four seconds,
and it costs 0 .034 cents for a 1K image. Gemini
OmniFlash, which is a video generation model,
is about 10 cents per second of output, which
honestly is not bad. These things can be insanely
expensive. We literally had OpenAI that canceled
Sora and is discontinuing it because it was just
so expensive. So we had the capability to do
AI video. It's just really expensive. So the
fact that Gemini is getting that down to 10 cents
per second of output, not bad. You know, if you
were doing a one hour long video, it's going
to be pretty expensive. But most of the videos
that these are generating are like five seconds
long. So that's 50 cents a video, which I know
actually sounds kind of expensive. If it's 10
second video, it's a dollar. If it's a, you know,
100 second video, it's $10. But you know, that's
that's the cost. Okay, nano banana to light is
going to be replacing the original nano banana,
it's going to be the recommend is the recommended
tier. And I think they're saying that it's like
if you have a prompt that worked really well
for the original nano banana, it's going to still
work for nano banana to light, which is great.
I hate it when the model changes and the prompts
are kind of get off. They said there's going
to be character consistency, they have really
aggressive speed cost optimization that they've
applied. So it's kind of interesting, right?
It's like two, it's nano banana to light, like
this is supposed to be like a super fast, super
light version. And it's they're trying to get
this thing to still be comparable to nano banana,
but way faster and way cheaper. And I'm really
excited when we do these kind of optimizations
on the image models. They also have Omni flash,
which is going to match VO three, one fast pricing
while it's also adding conversational editing
multimodal input mixing so they could do text
image and video and it's going to do text to
action synchronization for any sort of like graphics
that you have on the screen which i think is
So for videographers, this is actually really
cool. Nano Banana 2 Lite is going to ship across
nine of the different products that Google already
has. So it's going to be inside of AI Studio.
It's going to be inside of the Gemini API. It's
going to be inside of AI Mode in Search. So when
you're on Google just searching, it's going to
be on the Gemini app, Notebook LM, Google Photos,
Stitch, Google Flow, and then it's also inside
of Google Ads, right? They got to make money
from the ads off of all of this. I'm excited
to see what Google comes out with. I'm excited
for all the new models today. Guys, thank you
so much for tuning into the podcast. make sure
if you want to check out the mcp for ai box that
you go check out ai box .ai mcp basically you're
going to get all 80 of the top AI models right
inside of Claude or Gemini or ChatGPT, whatever
you work with the most. You can get all of the
other models inside of there so you can actually
call them. Really, really useful. And as always,
if you want to get all of these news stories
that I talk about on the podcast straight into
your inbox every day, go to AIChatDaily .com.
That's my website that goes along with this podcast.
There's a big subscribe button you can hit in
the top corner. And if you hit that, you can
put in your email and I'll send you all of these
stories and more in -depth articles. where it
breaks down all of the information. You can see
all of that as well. Thank you so much for tuning
into the podcast, guys. I hope you have a fantastic
day and I'll catch you in the next episode.