some of the gentlemen over at the company known as minstrel AI.
These folks here to 70.
Not minstrel.
Yeah.
Mistral.
Minstrel would be a bit something else.
Ladies and gentlemen, boys and girls, children of all ages, dogs, cats, robots, and everybody in between, especially you, five day old AI startups with a multimillion dollar
valuations.
This is HTTTA.
How to talk to AI.
I am your host, Wes the SynthBind and SynthBind Wes.
And as always, in a galaxy where gigabytes govern and algorithms guide our growth, one voice gallantly gears up to demystify the grander, strip down the gnarly knots and steer
through the unexplored grid of artificial intelligence.
Welcome.
Who may you ask?
The gateway to all things AI, gracing the border between humanity and technology.
She is your guru, your guide, your good friend, ladies and gentlemen, Miss GoToGo.
G, how are you this week?
Hi, I am amazing.
I'm so happy to be back, but I'm also sad that I missed you and Keegan last week.
Hey, we had a good old time, but we do appreciate your contribution.
Oh my God.
When I was listening in the edit, I was like, oh, I was getting like, I'm hungry.
I literally went to Kitten.AI.
I was like, this is incredible.
I think he's really onto something.
He is indeed.
And just the future plans are also fascinating.
And that being said, like when I was listening to both of you, I was almost getting the same vibes as watching my really good friend from Italy.
So Italian cooking and you both nerding out.
I was like, oh my God, this is great.
By the way, I have to share with you that same my friend sent me a message, but he's now taking CS50 course.
Thanks to you.
Yeah, awesome.
Hey, I'm totally glad to hear that.
I think it's, you know, I can't say enough about how that helps connect some of the dots for all the stuff that underpins the world around us these days.
Absolutely.
But yeah, let's jump into talking a little bit about the business side of AI and what kind of craziness is happening.
That's something we can we can definitely talk about.
I'm sure from every side, people kind of get the sense that everybody is excited about AI and we have a unique perspective in the sense that we probably follow it a little closer than most.
But we found this video by the corporate bro on TikTok that I think perfectly sums up the interest in AI, specifically generative AI that businesses have.
So I'm going to just play this right now.
And I think everyone will get the sentiment.
OK, so you've all seen the numbers and it's bad, but don't worry, because even though we burned through almost 30 million dollars in just under six months, I have a plan to raise more money and save this company.
Oh, God, please don't say crypto again.
No, this is even better.
A.I.
Come on in, AI.
Greetings, humans.
I thought you might like that.
So like, what's it do?
To be honest, we don't know, but it is generative.
We can call it business GPT GPT.
While an excellent, excellent ad there for sales GPT, it does capture the sentiment.
That is a real thing.
Sales GPT.
Yeah, I'm Googling.
So you go to feverishly type and looks it up right now for us.
Really?
I'm free, free plug care of that video.
What are you finding here?
Let me.
But it is so true.
And oh my God, it's just you replace in this video AI with anything else and you still
get the same script, blockchain, crypto, NFTs.
But the significant difference is in the technology.
And, you know, if you look at NFTs versus AI, the idea of artificial intelligence been
for hundreds of years around and people have been working on it.
So it's just that it exploded right now and I think the big impact maybe historically
is going to be that chat GPT was given to the public.
Therefore, like before, like, you know, that was GPT three was in the playground, but it
was not really widespread because it was not placed or packaged in a way that most users
can use.
But this technology existed.
Well, I think to me, the distinction between any of the generative AI technologies and
something like blockchain, NFTs is the barrier to entry for like the casual person tends
to be much higher, kind of hard to conceptualize what a net fungible token is, what it even
grants you, how it exists, how you even have it.
You need to get a special wallet on a special type of website with keys that you have to
write down and never lose or something like that.
This is generative AI.
Just take that.
Type me a letter, write me a resume.
You know, I think it's a lot easier for people to kind of understand and think about some
of the possibilities, but the kind of underlying thesis of that video is not at all far removed
from reality.
Take, for example, some of the gentlemen over at the company known as minstrel AI.
These folks here to 70.
Not minstrel.
Minstrel.
Yeah.
Sorry.
Mistral.
Minstrel would be a bit something else.
Mistrial.
I like minstrel.
Like, isn't that like a wandering minstrel, a court jester?
That makes sense to me.
Okay.
My girls.
Okay.
Mistral.
If there is any girls listening, they will get why I'm laughing.
But yeah, let's keep going.
Yeah.
So, mistral.
These folks gained a $74 million investment or evaluation of their company rather.
I think it's six people.
They have zero users.
They have zero MVP.
They have nothing built.
They have a seven page memo written on a Google Doc that secured them $74 million in funding.
Now, here's the thing.
This is, I think, an instance where it's just like, all right, yes, there is fever, craziness
happening to invest in anything generative AI.
But if you look at some of the people that are associated with this, they are six folks
that have some compliance, some deep experience with LLMs, things like DeepMind, the llama
model at Meta.
So, it's almost just like, all right, this is evaluation based on your resume, what you've
done in the past, which is an interesting note to me, at least, because it goes, all
right, well, this is a case of where people's like, all right, the tech is, it's going to
work out.
So, I'm just investing in you.
Is that something that, did you perceive it the same way when you heard about this story?
In a way, yes.
And I worked in Accelerator and Venture Capital before.
So, the underlying thesis when investing from, you know, especially Accelerators is that
you're investing in the founders, investing in a team who is going to be behind the startup.
So, in this way, yes, it reflects.
Another aspect is how to say this, that same as you are investing in some startups who
are promising to build models and the majority of your investment is going to computing
power, so you're literally buying startup who will give money to the NVIDIA.
I think in this way, this is just puts a price tag on this type of profile people or developers
with this type of resume.
So, I 100% agree with you, but it's very interesting dynamic going forward that if
we start seeing people who work in these fields at such scale value, if they just come together,
and that's enough to raise money, the future will show and will tell that if I would be
the investor, I would never do this.
I would never put my money just on resumes.
I completely agree with you.
On resumes alone.
You're totally right.
I'm glad you brought up compute because, I mean, I think what was it?
OpenAI said that GPT 3.5 was $100 million to train in compute time.
So it's just like, all right, well, you have a $75 million valuation.
This company, Mistral, is trying to be a competitor to Bard and Chad GPT, specifically for the
European market, from my understanding.
Yes, they already know that it's going to be a huge monumental task to train, but I also
think it's interesting that part of their whole business model is this is going to be
an open source model.
So to me, it's like, all right, you're going to put this out there, which I agree with
to a point, and I think we've talked about this on past podcasts, but one of the problems
with that is then you're going to have a harder time monetizing it.
Stable Diffusion and Stability AI is a perfect example right now.
They have incredible genre shattering technology, but they don't have a customer base the same
way.
If I put my marketing hat on, this move was brilliant from that point of view because
now we are talking about it too.
But I don't know if you remember then there was this conversation that Chad GPT is direct
competitor to Google and then web browsing search is going to be next big thing and Google
didn't do it yet.
Bing was not yet there.
I saw so many quite notable investors talking about this search engine, Neva.
Did you know that they just got, you know, bankrupt?
I don't want to say bankrupt because it's placed on mergers and acquisitions, so it's
fine.
But they are not anymore in the field and you don't see this in the news that hey,
the startup came, collected investment, tried to do something, but then big players just
a month later maybe boom have it.
So I think there is two coins that we don't hear enough about all the startups, plugins.
I think I talked about it in my video mentioning that all this, you know, email extensions
and stuff like that.
We are charging money, but how they are going to compete.
I want to see that strategy.
I want to see and probably in this document is outlined how they are planning to do that.
But this amount of money on something that we plan to do something like that, there is
probably another 50 startups who have exactly the same strategy and the plan, maybe not
even Google Doc, maybe at least Pitch Deck talking about Pitch Deck.
Yeah, maybe they at least printed it out.
But yeah, that's actually a great point.
You know, I mean, it even says in the bottom here, they expect to need to raise another
200 million on top of their evaluation just to be able to create a model that can compete
with GPT-4.
To raise cash like that, you probably need a Pitch Deck, am I right?
Yes.
So pivoting to the Pitch Decks, the interesting finding was done by Clarify Capital that GPT-4
outperforms humans in Pitch Deck effectiveness among investors and business owners.
So basically, if you are a startup and you are making your Pitch Deck, your likelihood
to get an investor is higher if you use GPT-4 to make it and write it.
And it's like one in five investors and business owners pitched by GPT-4 would invest 10,000
or more.
And with this Pitch Deck from Mistral, I actually went and copied their Google Doc text.
So I took the text, ran it by AI content detectors.
And yes, I know they are not good, but I was like at least looking like, okay, what's going
to be the spectrum?
And it was human.
What did you get?
You did the same, right?
Well, I did it from the sense of, you know, for my business, I'm like, let's take this.
If they're getting 74 million, we will take the same format and use it for white papers
for some of our tools we're building.
I mean, that's just the math right there.
You know, all right.
If this, then that, you know, if this gets you a million dollar investment without a
product and some smart people behind it, hey, I know some smart people and we do have some
things, you know, so maybe it'll work the same, but I'll probably need a GPT-4 written Pitch
Deck to go along with it.
If we take a step back and on the full serious note, there is going to be so much money lost
from the investors.
And this is what is my fear.
The part like the sentiment AI gets, if that happens and the startups start falling behind
and bankrupting and all that, the media will take it, hopefully, or I expect that media
will make a big deal out of that.
And at the end of the day, it's going to be the casual user sentiment towards the technology,
which is going to be damaged.
And that's a bit sad because this technology is incredible and making it so sensationalized.
I don't think it's ever a good thing to do.
Yeah.
I mean, it's seldom do you have something, though, that literally everyone can use or
benefit from in such a way.
So, I mean, it's only natural to have dozens of people trying to plant their flag on the
same thing.
It's definitely a gold rush, but not everyone can strike it rich.
And I think the unfortunate thing for us as consumers is if everyone's using the same
technology, but for different services, hey, to make a pitch deck, to generate some content
for a blog, to write marketing emails.
If everyone's using the same technology, it's not going to be the person with the best tech
or the best implementation that rises to the top and becomes the market leader.
It's probably going to be the person that can market it the best and tell their story
the best, which might mean we as consumers are going, all right, well, I'm conditioned
now to sort by five stars and pick the thing with the most downloads or the most reviews.
I'm going to pick that one, even though it doesn't do what I need it to.
We'll be the first one to say in the generative presentation market, there's things like
Gamma, there's a few other different competitors.
I think it's read.ai.
We'll add them in the newsletter, some of the different AI-based generative slides,
generative presentation markets.
The market leaders got 20 or 30 times more than the one that I think is the best, which
is Gamma.
And that's a perfect example of a case where the people with the best technology, the people
leveraging the AI the best aren't the ones winning at this point.
Right, I hope that at the end of the day, market wins and market tells the truth, like
what people use and value.
And from the video we shared, there is this aspect like, but what does it do?
What can they actually do?
And they hear it so many times that even as basic as charge BT, that yeah, it's great.
Like everyone talks about it, even here in Germany, there is even in the local newspaper
title all over the place, right?
And then people test it and they go like, yeah, I didn't get what I expected.
So what should I do with this?
Is it even good enough or is just the hype?
And then just leave it at that.
So I think there is going to be some time in the market to see who is emerging at the
end.
I like to compare this as something to the Excel sheet.
Everyone knows Excel sheet.
But everyone is an expert in the Excel sheet, but if you have to pull data or do some math
or, I don't know, just store some information, you will go through probably Excel sheets
or Google sheets, right?
So I'm curious which of these models will become this tool in your stack deck that every
business wants to come to work for a new company.
They will be like, okay, we use Google docs.
We use this AI tool.
We use this, I don't know, like conferencing call.
I'm not sure if chat GPT is one of those.
What do you think?
I think we talked about it a little bit in one of the prior podcasts, but they did a
study of several different AI tools and terms of the big language models against a large
subsection of the population.
So which ones of these have you even just heard about?
From StableDiffusion to GPT-3 to Bard to Lama, any of these other ones.
Chat GPT, by far and away, is the one that's most proliferated through the social zeitgeist.
I think 60% of people had heard about it or used it.
I think it was around 50 to 58 that heard of it and 14 used it, which was a huge surprise
to me, right?
Wow.
What I think is interesting about that is chat GPT is a fine-tuned version of the GPT-3.5
or 4 model.
It's tuned in such a way to elicit these very natural sounding responses, and that's it.
You don't get some of the other controls you get when you're actually trying to pull the
levers of the GPT-4 model itself.
I'm amazed when I talk to potential clients and say, hey, we started to build this AI
tool.
We use the chat GPT API, and then we can't get it to output factual information.
I'm like, well, why are you using the thing that's tuned to be more interesting and human
sounding when you're asking for this deterministic factual response?
It's because that's just the thing that they know about.
Hey, I want the AI shiny thing.
Give me the chat GPT API into my business and make it so.
It means we got plenty of work coming down the pike.
Yeah, you have a really good point because here in Germany, when I was in this tech conference,
one of the speakers said that they were actually in conversations with German government for
developing their own model.
And government was like, we are in.
We want to do this and we have money.
But one prerequisite for that is we need the biggest companies to buy in that they will
prioritize using this model over anyone else.
And that didn't go through.
At least at that point, because I don't want to name the biggest companies in Germany,
but I guess you know, automotive banks, very famous banks that they were like, no, we will
use chat GPT for open AI, but we don't want our own model.
That was very interesting for me.
And he was like completely disappointed, shocked.
And they are trying to push this forward and kind of change the sentiment.
But maybe there is certain fear of being too late to the game, especially also when GPT
for is marketed as the best, the best.
And you want the best because maybe if you wait for government, German government to
develop their own model, go through the whole set of regulations, compliance, you know,
we could be looking at two, three years, including training at best.
Yeah, so if they have a product right now in the market, one aspect is to jump on it.
Another aspect is to shop around what are the alternatives.
This is a perfect example though of like, why people are excited to just, you know,
they feel like they don't want to miss the boat.
I see it all the time.
You have probably a very significant first mover advantage.
If you just kind of find your niche and exploit it and get your tool, get your model, get
your AI idea kind of built and made and out there.
And that is a pervasive sentiment that I think a lot of other businesses and business owners
are sharing that is not something that government needs to embrace.
I remember I saw this with first hundred OpenAI enterprise customers and you have the biggest
players like I saw Salesforce, LinkedIn there.
So there is also this, you know, selling point, who is your customer.
So if I am as a business and they know that, okay, my competitors in the market are using
OpenAI, so do I go the same route or do I actually look for alternative?
But what if there is no better alternative right now?
But there will be.
Like I am very hopeful that this is not going to be market capitalization.
And as a business owner, if I would be sitting in those shoes, I would be very closely also
looking at what's happening with regulations, but also what's happening with lawsuits.
This is what I shared with you that Child GPT Maker OpenAI faces class action over how
it used people's data.
And there's a couple of these coming out and it's not from Europe, it's from California,
the firm called KlarSyn and they have experiences with these types of lawsuits.
So that came out just a couple of days ago.
So how all of this pans out and this, I don't know how connected this is, but Child GPT
removed web browsing from the plus users.
And I'm very curious to hear your opinion on that because I was filming a video and
I filmed the video over two days.
And on the one day I was like, oh, let me show you how to make a LinkedIn post where
you insert link, use web browsing and then it researches, pulls data and creates your
LinkedIn post.
The next day I want to film, it's gone.
And I was like, oh, right.
I'm paying money and I purchased it.
Then GPT-4 came out, but of course web browsing was one of those features too.
And now it's just removed with nothing, with no lowering price, nothing.
So what is your take on this?
Yeah.
I mean, I think you brought up the most crucial part of it from a consumer's perspective where
it's just like, hey, I'm paying for this service where this is advertised.
Why am I not getting it?
I think OpenAI though is pretty transparent that like, Hey, this is a lot of this stuff
is very experimental.
Some of this is even in like alpha stages of development.
I mean, I don't know.
To me, I probably have not found all the best use cases for web browsing right within chat
GPT.
If I have workflows or use cases for that, there's other ways to build that type of stuff
in with things like web scrapers or using some Python code in conjunction with the GPT-4
API.
So I mean, like it's, is it going to come back?
Yeah, it's probably going to come back.
It's just how long, who knows?
Yeah.
I actually agree with you that my experience with web browsing was half of the time it
says can't read content, can't read content, failed, failed, scrolling down, failed.
So if we are pulling it out, fixing it, but then there is another point of this paradox
that we have Bing, which runs on GPT-4 and it has web browsing and then there's chat
GPT who does exactly the same, but you pay.
So I'm curious on three fronts that what you are saying.
I think it's very optimistic view that we are nice guys.
We're testing the product.
We're pulling it back to improve.
Then there's politics between two companies and two competing kind of offerings.
And then there's another aspect of regulations and conversations on that front.
So I don't know.
We'll see.
I mean, the difference though being when you have Bing, your underlying architecture is
that of a page rank algorithm.
That's what Google got famous for back in the day where it's measuring the importance
of the information on pages.
In addition to the keywords that you're putting in, it's just overlaying the language models
capability to interface with that page ranked service that is Bing, that is Google.
I think the difference from OpenAI's perspective, if you're in chat GPT, you're using the language
model that has this little capability of potentially going out and searching the web, but probably
not in the same way.
Because it's not, I would venture to say it's not using a page rank algorithm.
It's using stuff like keyword or depth for search or some of these other ways that we've
come to index data because in and of itself, page rank is a very, very compute heavy, very
taxing type of thing to do because Google's the number one web browser because they have
gone out and developed these tools that index every page on the internet and find it and
index it.
So to be able to look through that quickly is not something a language model is built
to do.
I just thought about another interesting thing, prompt hacking.
I remember I came across this research paper or made the whole video about it where they
inserted prompt hack and prompt injection into that page and then Bing went on that
webpage and got infected and then the hell broke loose and I started asking for users'
bank information for email, for name and then created a scammy link where you click and
you're basically done.
So our aspect is something also could be happening behind the doors but kind of the dark side
of all of this, what if more and more we started finding out these injections on the market?
Well you would hope that you wouldn't have to worry about these big, supposedly ethical
parent companies not really kind of engaging in activity that could be considered a little
skeezy or dark side of the web.
I think this is a perfect opportunity to discuss some of the changes that Google made to their
privacy policies this week.
Yes, it is a couple of days ago Google changed their privacy policy and I can just read one
statement which let's just jump into and discuss that Android maker will use this data which
is that users share with others for the sake of training its AI model.
So this is not the data you kind of leave on the internet but also the data that you
share with other people and they placed everything in a positive light because of course we know
you better as a user therefore we personalize the services and we improve our services.
So on that spectrum yes but on another spectrum what choice as a user do we even have anymore?
I would hope they give us the choice.
Yeah it's totally lose-lose.
I would hope they at least give us the choice like OpenAI does where it says you say hey
I don't want to use any of my responses for future training data.
There's a little lever you can flip to do that inside of chat GPT.
I would expect that has to be a required feature going forward.
I mean I don't know how I feel about this because it has to be because then you're going
to anytime you have a lot of data and you can extract machine learning type insights
from it I mean that's what this is going to become and then they're going to sell those
insights to advertisers and it'll be even more like hey I just had a thought about this
thing and you're going to get an Instagram ad for it.
I just had a thought about it.
Well it's because they know that someone with your age race gender financial situation you
know because you saw this thing on the news a week ago you're going to be thinking about
this product now you know like you're not be able to draw those kind of connections
which is kind of wild I would say.
It's happening to me now all the time.
I don't know what I've done because I usually try never accept anything reject everything
but now we have a conversation and go if I go on Instagram that's it I get ads for exactly
the same thing.
It's spooky.
One of the most intrusive ways of those those those Google search ad words coming back in
the form of advertisements.
If you ever want to really send an indication to like some like your partner or boyfriend
girlfriend just get on their phone and just search for diamond engagement rings.
You will get so ad spammed on every single platform from brilliant earth rare diamonds
just to no end.
I was looking for a piece of jewelry for my wife.
It's our 10th anniversary coming up later this year.
I made that mistake just even just searching jewelry and it's been months of just that's
all I it's every other thing on Instagram.
So I mean I'm almost like well I don't have a choice at this point.
I have a real story which is on a bit different spectrum and this is like probably 10 years
ago in the architecture firm.
One of the guys we had workshop one of the guys came and used you know office computer
but he searched about babies because wife who is in the same firm is pregnant.
So he just did some search and then basically the office on the same network started getting
pumpers and then it was literally like as a joke like hey like is anyone pregnant and
as being a girl in architecture firm that's you know you have maybe two girls in the firm
and it's kind of evident that hey what's going on and then yeah that was the case that one
of the girls was pregnant.
The firm knew it before they came announcing that.
There's a famous article famous situation that is talked about in a lot of data science
classes for machine learning.
Target was one of the first bigger businesses to implement a lot of different ML tactics
and they basically got it down to the point where if you're a woman and you're buying
any combination of these 20 products you know two or two or three or more of these products
there is a very high likelihood chance that this person is pregnant or has a new baby.
So Target had a lawsuit because they started sending a bunch of ads to a family and a father
was getting these ads for hey for your come do your baby registry at Target hey here's
a bunch of things like that well it turns out his teenage daughter was with child and
he didn't know yet but Target did because of some AI so and that's that story is from
10 years ago.
Right so these tools definitely know is better than probably our closest people but if you
pull what I sent to you I found this graph to be incredibly interesting.
This is kind of like a quick I would say sketch grading foundation models providers compliance
with the draft EU AI Act.
If you look at the scaling so this is like okay there is 48 parameters and you can see
each company on what kind of level we are so the interesting thing was Bloom.
I'm really curious to look into them more how Google compares to OpenAI which is absolutely
close 27 out of 48 versus 25 which is OpenAI at 48.
Autropic cloud seven out of 48 the ones who we see in the market as the ones claiming
that this is you know one of those models which are exactly thank you very much.
I don't know what what is your thoughts and also luminous which is I think in Germany
based and completely not compliant at the lowest level.
To the flip side of that coin I think is well there is no standard to measure this stuff
against this might be the first standard so when you have kind of that that yardstick
okay then people can start to track to that you would hope that a lot of businesses and
these founders and creators of these language models would have all of these things at the
forefront of their mind but I imagine they're also trying to get the science and the tech
right and compete with one another in this arms race basically and I think they also
recognize it is probably a trade-off whereas if you have all of these types of compliance
levels built into your model is it as capable as it was before or do you have to develop
the technology to be compliant which doesn't push the tech forward.
I was a couple years ago where I wanted to say like I think it was Apple there was one
year where it crossed over where they had to spend more money on lawsuits against people
like suing them like patent trolls and people saying that they had infringed on their patents
or their copyrights some may be the case absolutely true they just spend more money on lawsuits
than they did on research and development in any given year so like to me like that's
a indication of like all right this is not moving the technology forward when we're having
to deal with these type of compliance things so I imagine the founders of a lot of these
companies and the people working there they want to push the tech forward but and kind
of view some of these things as secondary the compliance aspects.
Yes but also like just for you know listeners you can see this graph on YouTube and we will
include it in the newsletter but this is done by Stanford research on foundational models
and for me what was interesting with this they rank each major lab on multiple different
factors so for example their data source data governance copyrighted data compute energy
capabilities and limitations which is kind of like a pattern where majority of these
models actually stand out this also shows for example copyrighted data only two switches
bloom and gpt neox which have compliance at some sort of level for me it shows that what
it is possible to have clean data sources data governments copyrighted data you know
in your model and still have a really great model because bloom is one of those models
which have almost if not every single language inside the model it's it's tough because
cleaning cleaning that data doesn't make you any money doesn't help get the thing to market
any faster you know it just doesn't it's kind of one of those things we're like hey it's
better to ask for forgiveness than permission a lot of the times I love how from two different
worlds we are this is great to have these discussions with you because it's required
to have these different perspectives what I see looking at this graph versus you so
I bet you see also like lobbying exactly what you said like all this loss that's coming
out like just draining money from the innovation from my side I'm like okay so can we do innovation
you know considering users considering copyrighted data is it actually possible and if it is
possible can we sustain this slower rate because we can't keep up with it anyways to be honest
no yeah I suppose I mean I think it does highlight maybe a couple things because as someone who's
trying to play with these tools and do new and different stuff in a professional capacity
semi-professional maybe capacity to me I don't think there's ever been a major technological
innovation where government put out their regulations first and then you know we've
reached far beyond it I'm just trying to think of the last couple major major ones you know
I mean shoot we still haven't even regulated or done anything about social media or the
internet probably a couple things there's still copyright laws that govern tons of internet
content that are from the time when we only had records and radio broadcasts I appreciate
your perspective and yeah that's true you know same as well yours is ours well thank
you okay so Wes is this place any as good to end the podcast I think this is a place
as good as any so for go to go this is Wes Synthmind saying happy prompting everybody
happy prompting everybody thanks for listening to how to talk to AI with your hosts go to
go and Wes the synth mind as always you can check out the show notes and links at howtotalkto.ai
that's all for this week's episode happy prompting everyone.