GPT-5 Coming Soon, New ChatGPT For Business & Huge AI Video Updates

Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
(00:00):
Open AI and Sam Altman aregearing up for Wait for it.
Hot AI Summer.
LFG.
Apparently
that's right.
Baby Hot AI summer coming in.
Compute go.
GPT five coming up hard.
Yeah.
Gavin, buddy.
Hey, what did we say?
What did we say?
Don't go beast mode on intros.
That's right.
No obese mode and intros.
That's right.

(00:20):
We're both
over 40 now.
What did you say about GPT five opening?
AI is preparing to release GPT five andthey've just released a new note taking
app and Codex can access the internet.
Kevin, is this gonna be howthe opening AI movie will end?
I, I, I,
I, Kevin.
Are we going?
Beast mode?
No, Kevin, the opening AImovie is actually for real.
You know the movie I wanna seeis the decades long beef between

(00:42):
Mark Zuckerberg and Palmer.
Lucky they recently squashedthat beef because they're teaming
up to make super soldiers.
That's right.
And
Epic, CEO, Tim Sweeney says that a team of10 could make breadth of the wild with ai.
Oh, I'm sure that upset nobody.
Also, some massive AI video andimage tools being released from flux.

(01:02):
Luma Labs
and, Hey, Jen.
Hey, Jen.
No, that's what I'm shouting at my bestieacross the bar and it's martini clock.
Hey, Jen, put your Birkin on thehook and let's down these mimosas.
Hey, Jen, also, Gavin, you'renever gonna believe this one.
Oh, what?
Record labels are signingdeals with AI music companies
like Suno and uio, who, what?

(01:24):
Who would've guessed?
But more importantly,
Kevin VO three has broughtus something incredible.
It is teaching cats how to swim.
The training regimen is rigorous.
Six hours daily, no breaks, no excuses.
Uh, okay.
On God, dead ass.
Uh, cat swimming is likepeak GPT five core energy.
It gives.
Yeah.
Yeah.
This is AI for humans.

(01:44):
We're busting for real.
No, no, no.
That was a test.
No Beast mode and intros.
Fine.
Fine.
This is AI for humans, everybody.
What happened in the cannon ofthis show that I'm the principal?
When did that happen?
Yeah.
I don't
know
man.
You're just the cool kid who wants Danmemes and I'm the one who wet blankets.
You all right?
Start the show.

(02:07):
Welcome to AI for Humans, everybody.
And Kevin.
It is Hot AI summer LFG,according to Sam, LLFG
Baby.
Let the farmers grow.
That's what that acronym means, right?
Oh, is that right?
I didn't realize that.
That's interesting.
Let's frigging go, baby Sammy Altmantrying to just chum the waters on
the heels of Google io, stealingmaybe a little bit of thunder in

(02:28):
their pretty little Gemini jar.
What does hot AI summer mean?
Gavin?
Okay,
so there's a couple bigthings to get into here.
The biggest thing so far I think thatwe have to think about is GPT five,
which is their huge next new model thatis planning on coming out as rumored.
In July.
Now these are rumors nobodyreally knows for sure, but like
that is a big thing coming up.

(02:48):
Sam has also, you know, taken, uh, to theworld of interviews and has been doing
some interviews in part, I bet you'reright to kind of like re-trigger the, uh,
attention back to the OpenAI mothership.
It's the most exciting thing that'sprobably in the pipeline right now.
And I think they thought maybethe Sears portrait studio photo
shoot between Sam and Johnny Ives.

(03:09):
Uh, would be something would, wouldcapture some more headline news cycles,
but, uh, well, let's, let's see what,what Sam is, is talking about here.
I, the, the models over thenext year or two years are, are
gonna be quite breathtaking.
Um, really
there's a lot of progress ahead ofus, a lot of improvement to come.
And like we have seen in the previousbig jumps, you know, from GPT-3 to G

(03:33):
PT four businesses can just do thingsthat totally were impossible with the
previous generation of models and, andso what an enterprise will be able to do,
we talked about this a little bit, butjust like give it your hardest problem.
If you're a chip design company,say, go design me a better chip than
I could have possibly had before.
Oh, what's it gonna do?

(03:54):
Put Taki powder on it.
Ooh, that sounds interesting.
How much better?
How much better can chips get?
We got salt and vinegar, right?
We got flaming hot.
Not the kind
of chips.
Kevin, that's not the kind of chips.
What else do we need?
You need to Pringles.
Pringles are still a chip.
Just 'cause they have a funky can.
It's still a chip.
Um, if you're a biotech company trying tocure some disease, say, just go work on

(04:15):
this for me, like that's not so far away.
Uh, and these models ability to understandall the context you wanna possibly give
them, connect to every tool, every system,whatever, and then go think really hard,
like really brilliant reasoning, and comeback with an answer and, and have enough
robustness that you can trust them to gooff and do some work autonomously, like.

(04:40):
That that, I don't know ifI thought that would feel so
close, but it feels really close,
Kevin.
It feels so close to me right now.
As, uh, Calvin Harris said once in avery famous song, Sam is out there,
you know, pitching his wares again.
I think just to, to extract a littlebit about that, what he's getting at
is this idea that you're gonna sendoff your ais to go think for you.

(05:02):
Right?
And a lot of the stuff thatwe've seen coming out of these
thinking models is, is a big deal.
First of all, the leap from GPT-3 to
GT four, yeah.
That really paints a picture.
Uh, if you're new to this podcastand potentially newer to ai.
You don't know the world before,like chat GPT, the difference
from three to four was immense.

(05:23):
Yes, yes.
You know, and we we're now gettingused to like, every few months
there's a new model or a new updateor a new trick, a new something.
But like it was, it's amassive change in capabilities.
Uh, unlocking a ton of new use cases, uh,spawning thousands of businesses, crushing
a few hundred in the process as well.
Yeah.
But like, that was massive.
So that.
On the one hand, it gets me very excitedand he's been saying that for a while,

(05:46):
Gavin like, so that is the generationalleap in capabilities that I am expecting.
Yes.
This is not a slightly new graphics card.
This is a new Xbox.
This is a whole new thing.
It's the next generation I.
However, on the other side, he mentionsstuff that we are already starting to
see, which is these agentic behaviors.
Send it off.
It has access to tools,MCP servers, whatever else.

(06:08):
It has tons of context while we'reseeing million token context windows.
Yeah, so on the one hand it'ssupposed to be a complete sea change.
Uh, on the other hand.
It sounds like, uh, it's another iterationof stuff that we're already seeing.
So are you expecting a three tofour leap in this four to five, or
are you, uh, expecting that it'lljust be, you know, more of the same?

(06:30):
Will you be disappointed if it's not?
I
have two kind of theories on this.
I can't, so three to four is, asKevin mentioned, is something that
a lot of people have always said waslike one of the biggest leaps, right?
And we haven't really seen a leaplike that, although I would argue.
If you take the reasoning models andcompare them to GPT-4, if that we have
right now, that is a very big leap.
And maybe if you weren't fromright from that to the next

(06:50):
thing, it would feel that way.
There is a conspiracy theory that isbubbling in my brain, and I don't know
if this is real or not in any sort ofway I. That they put out 4.5 GPT, 4.5
to kind of lower expectations so thatthey could then surpass them again.
Oh, you think they released a model to
kind of sandbag A little bit bit.
They wanted to get, get to the topof a chart, but only because they

(07:10):
didn't make a big enough deal.
They didn't make a huge deal of it.
And, and one of the interesting things,Andre Cari, who we've talked about on
the show a ton, former Tesla and openingAI engineer, very good follow on X and
does a lot of like educational stuff.
Talked about the idea of 4.5, which isthis massive model works very slowly.
Many of you who might have used it knowthat it's a very creative model, but
if that is the training data now forthe next reasoning model, he believes

(07:34):
the leap could be very significantbecause it is a much bigger model.
So what's gonna be interesting tosee is, is GPT five specifically this
kind of unified model that will bethe next version of the training.
I think they're gonna try toclean up all their naming stuff.
I'm really curious to see if it's muchbetter at the reasoning side of it,
because it's based on this larger model.

(07:55):
I do think, Kevin, it's important to alsoshout out this other thing that Sam said.
'cause in that clip he seemsvery optimistic about how
great this is gonna be.
He also then went into anotherinterview where he dropped this.
We'll just play this littlesnippet of this interview because
it's a very different tone.
I, I think.
There are gonna be scary times ahead andthere's going to be a lot of transition.
I'm very confident this can be managed.

(08:16):
I think the more we can all do ittogether, the the more likely we'll
get someone that works for us managed.
Who's managing it?
Kevin, are you
managing the scary times ahead?
I, I, I guess I'm gonna ask the ag agenticAI to manage it and I'll go away for a
few weeks and when I come back I hope it's
managed.
Yeah, it, so anyway, this is like kindof speaking out of two sides up again.
I think the biggest thing foreverybody at home to know is like.

(08:36):
We won't know until this comesout, what sort of leap it is.
I do believe if it is a significantleap, if it is close to three to four,
that Sam said, every conversation youwill have will conceivably be about ai.
Yes.
In the next year, right?
Because it's that big of a deal.
I'm sure my friends lovethat every conversation they
have with me is about ai.

(08:57):
Yeah.
It doesn't matter if we'reon the pickleball court or
we're trying to watch a movie.
Yeah.
It's gonna go back to ai.
But I think you're absolutely rightbecause you know, like the release of
chat, GPT was a major cultural uptick.
Yeah.
In people discovering,whoa, what is this thing?
And that seems like nothingin comparison to what these
models and these tools do now.
So if we get what feels likea generational leap, yeah.

(09:17):
Come July when this isrumored to be released.
Uh, yeah.
All bets are off.
Everybody is going to bescreaming from the mouth
tops.
Yeah, and you know, there'salready a couple small things
that are dropping soon.
Supposedly OpenAI oh three Pro,according to Sam Altman is coming soon.
This has been rumored for a while.
In fact, it's delayed versus where itwas supposed to come out right now.
I'll hear to know if like that comes outprior to this it, it might, but also.

(09:39):
They've now unleashed Codex on theinternet, which is their, uh, coding
platform, which means that your,your AI coding tool can now directly
access the internet, which, youknow, one of my favorite things about
this tweet from Sam, 'cause Sam,you know, took some time to tweet.
He put, he took like 10 daysoff from tweeting and then
started, uh, tweeting up a storm.
In this tweet, he says, codexgets access to the internet today.
It is off by default, andthere are complex trade-offs.

(10:01):
People should read about the riskcarefully and use it when it makes sense.
So one thing to know about Codexgetting access to the internet is
like, this is always the question oflike, what does an AI look like when
it has full steam ahead on being ableto read everything and do everything?
Yeah, I mean that's true, but lookas excited as I am, it's finally now
at parody with other models that cancode and had access to the web before.

(10:23):
So it's like other companies arefacing that, you know, that head on.
I don't know if Code X cando things, they can't yet.
I haven't put its through itspaces, but one thing that did
happen, Gavin, we're recording this.
Uh, surprise, surprise on aWednesday and chat GPT for business.
Yeah, just got a ton of updates.
This might get in the weeds a littlebit for some if you're just like
a personal user and, and this willhave benefits for you down the line.

(10:45):
But for right now, for thebusiness users, they did a couple
things, which are pretty massive.
One Chat, GPT can now nativelyconnect to all of your databases.
And don't get me wrong, this is veryquickly going to trickle down to the
individual users, but we're talking,you know, Google Drive, Dropbox.
Uh, if anybody uses OneDrive, okay,Kevin, I know what this cloud search

(11:05):
for.
We already know you've got all thesedatabases you've been generating
for 20 plus years of, uh, fictionalcharacter feed that you are now very
excited to be able to search throughand surface whenever you need them.
It
and I need it to, if I say Iwant feet in jam or jelly, it
needs to know the difference.
Good point.
Okay, good point.
And if it's a, if it's a characterstomping on lasagna versus stomping on

(11:28):
grapes, it should know the difference.
Exactly.
Okay.
And that can do that and trolls.
Are different and it can do it right?
I don't have to label my directories,you know, I'm meticulous.
Point is now it can connectdirectly to all of your files.
Now why does this matter?
Well, this gives, uh, forindividuals, it eventually give it
way more context on your life, yourbusinesses, your creative pursuits,

(11:48):
et cetera, on the enterprise level.
I have been, and I know you've beenasked to consult on this too, Gavin,
no shortage of companies screaming.
Yes.
How do we integrate all of our datainto a system that spins up, you know,
strike teams that work within a division.
Yeah.
And they come up with tools and then youstart building workflows and pipelines
and looking at 16 different softwaretools that can bolt this onto that and.

(12:12):
While open AI's demonstration todayseems pretty rudimentary, you connect
it to a thing and you can query it.
It does respect the permissionsof the users, which is
massive in an organization.
So an intern doesn't have accessto like high level engineering
docs or something like that.
Um, potentially within a household you canshare documents, but if you are keeping
information a secret, like your feet picksrepository, sure, you wanna have separate,

(12:34):
you don't have to worry about the misses.
Maybe you have a separate accountthen coming across it case, why not?
Right.
Look, maybe you do all of your work insideof a, a aluminum foil line, Faraday cage.
Maybe that's where youstore your thumb drives.
Sure, of course.
Okay.
Course.
And she doesn't need toknow what happens in there.
But this is big that this is rollingout along with MP capabilities.
Yeah.
Which it, we've gotten into theweeds about CPS in the past, but

(12:55):
just know it, it means that it.
It allows open AI's AIto talk to other ai.
Yes.
Fairly effortlessly.
Yeah.
And so suddenly you can go from asystem that has a basic understanding
of itself to a system that understandsAI systems everywhere, and you
can get really powerful workflows.
Sam has said in the past, and this iswhere I'm hoping to connect the dots

(13:15):
again, where I'm talking about grandiosestatements that don't come true.
He has said the mistake thatmany make are trying to.
Uh, over-engineer and build for thecurrent shortcomings of the models Yes.
As they exist.
Yes.
This is one of those things where somany companies and individual creatives
or contractors have gone out and beenlike, I'm gonna engineer a thing that
lets an AI talk to all of your documents.

(13:36):
Well, guess what Friends?
You know, Google has theirversion, Amazon has their version.
OpenAI just rolled theirs out now.
And when it trickles downto the individual user, that
could be the Kleenex moment.
Yeah.
Foris that, that talkto all sorts of people.
And
maybe even more importantlyfor these AI companies, the pay
for the Kleenex moment, right?
Like where the idea is that suddenlyinstead of a 'cause there's a lot

(13:58):
of studies about like how peopleare using AI in business and like a
lot of experimentation, but not likea lot of money that's set aside.
And we know that both Anthropicand open AI's, you know, business
model has gone up and they'vebeen making a lot more revenue.
This could unlock even huge amountsof revenue because if you can imagine
all of the businesses in the world,if you're suddenly locked into an

(14:18):
open AI ecosystem, that's a bigdeal when all your data's there.
And I think that is gonnabe the fight going forward.
In fact, there's a story that kindof tangentially connects to this.
Claude and Windsurf are kindof fighting a little bit.
This is a vibe coating platformthat we know that OpenAI is buying,
that they're buying for $3 billion.
They basically lost access to,uh, their specific, uh, fast

(14:38):
pipeline to Claude models.
And the CEO came out and said kind ofa long description of what this is.
They don't really know why, but Kevin,this definitely feels like some drama
stuff that has happened around these twocompanies because of like lock-in, right?
We talked about with Google's likevery expensive, uh, AI ultra plan.
Part of the goal here is to tryto get companies to lock into

(15:00):
a specific OpenAI ecosystem.
And you know, if Windsurf has accessto Olive Claude, it might mean that
like by cutting clot off Anthropic,seeing this and being like, we have to
get locked in for our stuff as well.
Well, I don't know if you saw theother rumors that we're swirling about
that, uh, there might be an anthropicslash apple collaboration going on.
Yeah, I can see that.
Which could havesomething to do with that.

(15:20):
They're, they're talking about X code,which is, uh, Apple's coding platform.
I use it all the time.
I am astonished at the lack of AI in it.
Yeah, it's the even Android studio, ifyou're building Android apps or any,
anything in that environment, at leastit has Gemini built in now and is getting
better, so Apple needs their solution.
Anthropic and Claude makes a lot of sense.
Yes.

(15:40):
And that might be someof the reason there.
It could be the open AI deal as well.
So, uh, you know, it, tough tosay, but really interesting the
way everybody's going for lock-in.
And again, to the point of connecting toall of your documents, that plus memory
equals a much more difficult switchfor an individual or an enterprise.
Yes.
When they're six months down the roadand this AI knows everything about them.

(16:01):
Yes.
For them to leap to anotherAI might be really tough.
So that helps for the lock.
And the only other quick thing thatcame outta this business thing that
is interesting, but maybe not fullyfeatured yet, is there's a record mode
that they are introducing into theenterprise teams and education system
where there's gonna be a button on yourchat t and you can record a meeting
at least locally, it sounds like.
And it's gonna record allof your meeting notes.

(16:22):
It's gonna be accessible as athing that you can get into.
Kevin, it seems like to me this isa little not fleshed out because the
most useful version of this wouldbe something that could be a plugin
into say, zoom or to Google Meet,because how many meetings do you have
where everybody's in the same room?
Not that many anymore.
Right?
But this is a movementtowards the same thing.
And again, it is lock-in.
If you have data from your companythat is in one place, then it

(16:43):
does become very searchable.
On the other hand, it also killsconceivably a number of AI startups
like we have said again and again,like there are AI startups out
there that are trying to do thisacross many different platforms.
If each of these suddenly hastheir own version of this.
Sorry buddies.
That
might be the end of it.
Well, listen, I'm a Nathan Fielder fan.
I promise this will connect.
You know, uh, taking notes on a meetingis one thing, but rehearsing the meeting

(17:08):
in advance with fake AI personas ofthe people you're going to meet, Gavin.
Well, that sounds a little.
Different, right?
Maybe Black Mirror ish.
Well, Moderna, CHRO, Tracy Franklinhas something to say along those lines.
Ooh.
I've created profiles in A GPT, um,of our executive committee, and I have
scenarios of when two people are, aremaybe at conflict or when I have to go in

(17:33):
with an opinion, um, or a recommendation.
And how might the, the groupreact to my recommendation.
Or if I'm having a really bad dayand I need to understand myself
and why I am triggering, I actuallyhave a completely interactive coach,
therapist, you know, and, and teammate,um, for me that I use all the time.

(17:54):
It's been like my favoritething and I've said.
Gavin Circle of trust.
Do you do this too?
Do you, do you have a Kevin GPTthat, that you run the ideas by?
Because you know I'mgonna blow up, but now
I really do want one.
Now I'm gonna go outand create a Kevin GPT.
How are you
gonna prompt that,
Gavin?
I'm just curious.
What about don't sentence, don'tyou don't worry about that.
I'll keep that secret.
I mean, this is an interesting thing.

(18:15):
Again,
you are a professional, has beenno a c to your platinum plus
cable television who done it?
No, no, no.
A footnote in the history of never.
Hey, you have a Wikipediapage still, Kevin.
That's something I want you to makesure you put that in your back pocket.
Oh, nice.
That's still something.
Please don't update it anyone.
It does not need to know aboutmy RV phase or my convertible
hiking pants on television phase.

(18:35):
So
again, this is another thing that showsyou how this business side of AI is
something that you can't a discount,because we're here talking about like
what's the cutting edge look like?
But the money will be madeon the business level.
Kevin, the other thing that's importantto realize about all this stuff is that
the dramas around this, there will alsobe money made on that because there is

(18:56):
going to be a movie made of the OpenAI.
Sam, is he or isn't he?
CEO?
Uh uh Saga that we covered veryspecifically on this show last year.
Andrew Garfield has beencast as, uh, Sam Altman.
The other thing I really liked aboutthis is if you saw, um, a Nora the, uh,
best picture winner, the uh, Russianball guy, he is gonna play Ilya.

(19:18):
And that guy's amazing.
I love that guy in that movie.
So, if you know Ilia Sr. Is the guywho I. Kind of helped lead this Ouster
moment and then got kind of pushed backwhen it, he, Sam came back, ia, then
went on to start, uh, and is still inthe middle of a company called Safe
Super Intelligence, which we have notheard a single thing about for a year.
Right.
But he and his co-founders and, uh,uh, arguably a bunch more people

(19:38):
are up in the mountains makingsuper intelligence right now.
Kevin, it just an interestingthing to see how quickly
these things are happening.
Now, while all that drama was goingdown, like that's what you and I were
texting back and forth, and I thinkeverybody in the bubble as well,
were like, oh, this is the third act.
No, wait, no.
Yeah, this is the third act.
Yeah.
Oh man, this is gonna play out so great.
'cause it was pure drama unfoldingon Twitter and behind closed

(20:00):
doors and in the rumor mills.
So I, I'm psyched for it.
Is there anybody else you'd like to see?
Play Sam Altman.
You know, it's a reallyinteresting question.
I've been thinking about this.
I mean, Andrew Garfield had a rolein the social network, so there's
an interesting connective tissue.
Yes.
But of course, the person that mostclearly is is, um, Jesse Isenberg.
Right?
Sure.
Jesse Isenberg is so good at playingnebbishy sort of characters, and did Mark

(20:24):
Zuckerberg so well in the social network.
That it's hard to see anyone else.
Oh, you know, who might be really good.
Speaking of Jesse Eisenberg, you know,Kieran Culkin could be interesting
in that role if he was able to do it.
Oh.
Because he's kind of small and kind of hasan e but he, maybe his energy is too much.
Anyway, I, it'll be interesting tosee Andrew Garfield feels a little
too suave to me to play Sam Alman,but we will see, oh, Sam's gonna

(20:45):
take, uh, take offense to that.
I mean, this is not Gavin, thisis not about dissing on Sam.
He is a charismatic, uh, young man.
Sammy is a very.
Suave gentleman.
Yeah.
If you wanna cast yourself insomething, you could cast yourself in
the role of helper to AI for humans.
That's right.
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(21:06):
Last week's YouTube video was Kevin.
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We appreciate

(21:48):
it.
Absolutely.
And thankfully Kevin and I wereable to do this podcast 'cause we
squashed our 10 year beef, just liketwo other people in the industry.
Palmer Lucky and Mark Zuckerberg.
Mm-hmm.
Yeah, when you back stabbed mefor that cute little late night
thing and left the great gravytrain, we were all chugging along.
Boy howdy.
Did I write you off?
But we're back together because,you know, time heals all wounds.

(22:09):
Palmer Lucky founder of Oculus, uh,you know, amazing, amazing engineer.
Uh, created, really responsiblefor VR as it is today.
Yeah, didn't like create vr, butreally brought it back into the fold.
Um, unceremoniously ousted.
From at the time Facebook.
Yes.
Now Meta.
Um, and was very vocal about it after ashort period of time and I, I actually
appreciate how vocal he was about it.

(22:31):
'cause he talked about how difficulthis, like it was for him emotionally.
Yeah.
And intellectually, um, how, uh,Andel his new defense company was.
The, uh, let's see if hegot it in you twice kid.
Yeah.
Yeah.
Sort of thing.
And clearly he did have it in him twice.
The company's doing amazing.
Well, you know.
A lot of documents have been leaked since,uh, Palmer was ousted and he said it

(22:52):
seemed like Mark Zuckerberg wasn't reallyat the helm making the decisions about
Palmer's Ouster that it might have beenothers that are no longer at meta anymore.
And it's a very roundabout way tothem getting together, taking a photo
and what could be, I don't know,the lobby of a rainforest cafe or
meta, what if that's where they were?
I would love
to see the two of them in a rainforestcafe, like underneath the frog looking

(23:14):
up and the frogs just sitting there.
Volcano, a hundred percenthappy to be a fly on that wall.
Yeah.
I would pay for the dinner.
Point is they squash the beef becausethey wanna make super soldiers.
Um, Palmer was touting anew vision system Yeah.
Called Eagle Eye.
Yeah.
For soldiers for a long time that wasgonna be an augmented reality display
that in his vision, every soldiershould have on their noggin when

(23:36):
they're deployed in the battlefield.
And the way this works is thatit creates like a mesh network of
communication helmet to helmet, uh, where.
If you, Gavin are on one point inthe battlefield and you have eyes
on an enemy, some sort of vehicle,an interesting point of reference,
it can beam that visual data.
Yeah.
Those coordinates anoutline of another soldier.

(23:57):
Whatever.
It can enhance my vision with the datathat you have gathered with the data
that an autonomous drone flying abouthas gathered and give us a far more
detailed, uh, picture of what is goingon in the battlefield and, you know.
Makes sense.
I'm sure it will be great fuel forthe, uh, bipedal robots that'll
eventually exactly be running around,around the battlefield, but that's
their vision for soldiers today.

(24:18):
Yeah,
I mean, there's two thingsI wanna mention here.
One, I I, I dunno if Kev, if you heardthis, but there was an incredible
interview with the Palmer on the CoreMemory podcast, a guy named Ashley
Vance, who broke away from a majortech publication to make his own stuff.
You should definitely befollowing core memory.
I listened to the whole twohours and I know you've been a
Palmer fanboy for a long time.
And I have to say what was reallyinteresting listening to this.

(24:38):
I, you know, I always am like, you know,I'm not super political, but like Palmer
was very, very on the right and like Iwas trying to kind of get a sense of like.
Where he landed and what he was thisinterview with him, it feels very
reasonable and I do not think heis like an extremist in some form.
That was just my take.
I know some people might thinkthat, but I thought it was
a very reasonable interview.
I do.
I do suggest you go listen to this,like it's a really interesting thing.

(24:59):
The other side of this, in thisinterview, he talked a lot about
the idea of how these VR helmets.
Need to be different than consumer ai.
And he was pointing out the differencesbetween what like Apple has to
develop and deliver for consumersto do like the Apple Vision Pro
versus what these helmets need to be.
Right?
Because in the helmet it's reallyabout functionality for soldiers on the

(25:20):
ground, and that is a big differencethan like, uh, you know, a nerdy guy
in their couch trying to have theultimate entertainment experience.
It's all these little things you don'tthink about when you think about like,
defense mechanisms and all that stuff.
And, and you know, the thing that really,this stood out to me, if you've been
following the news, you clearly sawthe, the weird drone attack that, that
Ukraine, uh, unleashed on on Russia inthe last week, which is one of these

(25:43):
really fascinating ways of looking athow the future of warfare works now.
Mm-hmm.
So when you think about thefuture of warfare and you
look at what's going on now.
It is exactly this kind of thingthat is going to lead to whatever
the next stage of that is.
Now, you may not love the fact thatlike robots will be fighting for
us, but I do believe in, Palmereven says this in the interview,
this is how we save lives, right?

(26:03):
You save lives in trainingby doing this, but also you
save lives in the battlefield.
And eventually, maybe it isdrones, fighting drones, and then
who knows what that feels like.
But it is a very different way oflooking at battlefields in general.
Yeah.
And again, don't take a secondto think about what happens when
one side runs out of drones.
Right.
We don't, we don't think about that.
That's not a thing.
It's just metal on metal.

(26:24):
It's basically a, but what was it?
A BattleBots.
Yeah.
And then everybody goes home happy, andwe all share our resources because we
live in a world of abundance, right?
Also, don't
think about what happens when oneside suddenly turns to understand
how to control themselves versusthe human being controlling all of
this is not worth thinking about.
Now we're not gonna thinkabout what this means.
We're just gonna talkmore about, uh, AI video.

(26:44):
Kevin,
I, I did use such a disservice as a friendand co-host too, because like you were
making like grilly solid points, but allI could think about was a soldier on the
battlefield trying to like pinch zoom, astock widget because Apple, yeah, sure.
Exactly.
They're saying it's like they'reunder fire and it's like, no window.
Get out of the way.
Siri, close the Siri.
Oh my god.
The windows.
Can you imagine having tobe in the battlefield and
using Siri to control it and like.

(27:05):
You set a timer for like yesterdaymorning, and I can't turn it
off, sir.
Here's what I found on the webfor how to Stop the bleeding.
No.
As Alexa, it's like, here's
a blog spot from 2011 about dog fur.
We should move on.
There's a big story, a brewing in theAI audio space, which I know you'll
have a lot of thoughts on Suno and uio.

(27:26):
The two big players in this space,and I, I kind of think of Suno as the
big player, but UIO is still up there.
They're both really interesting AI models.
They are in talks with major labelsto not only make a deal, but give them
some percentages of their company.
So let us talk a little bit aboutthis and about the history of this.
Oh, you don't say,
you don't say Gavin.
It was the, I was pat myselfon the back as hard as I could.

(27:49):
Yeah.
Um, I, I think you shared the sentimentwith me, I don't know, over a year ago.
Yeah.
When it was like.
The labels are gonna sue,this is gonna be a big deal.
And I said, that genie's outta thebottle and there's too much, too much
money, too much money, money on thetable, too much money for it to be upset.
And I was like, eventuallyit's gonna be a negotiation.
And oopsie don't, you know, it suddenlythe artist writes thing is not gonna

(28:09):
be a, they're gonna get some pennies,maybe fractions of a fraction of a penny
after the labels get what they get.
But there was just too much at stake.
So I'm not surprised to see that,uh, deals are being made here.
So, you know, something Ithought about with this.
Is that GPT-4 OH'S image Genmoment, I think can be seen by
different people in different ways.
Obviously a lot of the anti AI people seeit as like, oh, they ripped off these, you

(28:34):
know, the Ghibli, the Ghibli, uh, ip andthey're making all this stuff with Ghibli.
Well, the thing I've thought aboutwith AI music, and I'm sure you felt
about this before too, is that like.
I kind of would love to be able tomake, whether it's like a parody
version of something or like useanother song as a jumping off point to
and, and like use either that artist'svoice or that artist's melody for
that thing and remix my own stuff.

(28:55):
And it's really hard to do that.
You can do that open source.
There are ways that you reallyhave to kind of go deep on it.
So I'm curious to know, like inthe future of this world where Uio
and Sunil have made these deals.
It will be really interesting tosee, like, can I, a, a, a song
that's like, again, we mentioned,uh, Calvin Harris' feel so close
to the top of the show, right?
Which is a very classic like Dance Trike.

(29:16):
I'm a, I'm a fan of that song.
It's super fun to listen to.
What if you could take that song andlike insert your own lyrics and like make
your own version of that, you know, notto make money off of, but you would be
able to remix it using Calvin's voicetrack and maybe the actual sound and the
beats and the way the thing rises up.
That all feels like super compelling tothe mainstream in a way that's different
than just making music from scratch.

(29:36):
Does that make sense to you?
I think it does, yeah.
And, and Mitch Glazer, I wanna say chiefexecutive officer of the RAAA said quote,
the music community has embraced ai.
Yeah.
I dunno if that's a hundred percent true.
Something.
Yeah.
Okay.
That's what he saying has.
We, uh, already, we are already partneringand collaborating with responsible
developers to build sustainable AItools centered on human creativity that

(30:00):
put artists and songwriters in charge.
So that is the head of therecording Industry of America.
What do you think the percentagethese companies had to give
up, Kev?
I mean, it's so, so hardto say because it's.
You know, all of the training data goesinto the big pot and gets stirred about.
Yeah.
And then something comesout on the other end.
So will they say, Hey, basedoff a percentage of a particular

(30:20):
artist that went into yourdata set, we're gonna do that?
Or do they have to build in tools thatcan reference Interesting what percentage
of an artist was used in the output?
Or maybe they'll justblanket say, Hey, guess what?
You're gonna get a Mr. Wonderfulroyalty on every account that signs up.
1%.
1% of everything.
That, that, that is fine actually,as long as the artists in the end

(30:42):
also get their piece because timeand time again, you know, that's the
thing we saw with streaming and thenyou see artists coming out saying,
Hey, uh, you streamed 9 million.
Yeah.
You know, sessions of mysong and I got 50 bucks.
Well, that doesn't.
Feel quite right.
Absolutely.
I think that's an importantthing to think about.
And also like, uh, maybe acquisitiontargets for both Apple and
Spotify, these two companies.
Okay.
Kevin, another big story, Tim Sweeney,CEO of Epic Games is coming out and

(31:05):
saying some positive things about ai.
Well, they pressed the AI button and um,I. It might have been a bad idea, but like
in truth, there's no pressing that button.
I wanna read a little bit of hisquote here with an interview with IGN.
He came out and said that AIcharacters giving you the possibility
of infinite dialogue with areally simple setup for creators.
Means small teams will be able to creategames with immense amounts of characters

(31:29):
and immense and interactive world.
What would it take for a 10 person teamto build a game like Zelda, breath of
the Wild in the, uh, in which the AIis doing all the dialogue and you're
just writing some character synopsis.
Kevin, what is yourimmediate take on this idea?
I.
I am angry, but I don't know why.
And I'm gonna throw out my caps lock andjust point me at a URL I'm ready to flame.

(31:50):
You sound like most of
the, uh, gamer or commentersout in there in the world.
I, by the way, so this is something we'vebeen talking about for a while, that this
idea that gaming teams will get smaller.
I know that a very lot of very smartpeople in the gaming world are also
tracking this, and I want everybodyto know that this, obviously coming
from Tim Sweeney, this is a big thing.
Like he is kind of like planting a flagin the ground, as has John, John Carmack

(32:10):
has, has other people in the AI space.
Tim, just to be clear, is like theleader of really one of the biggest
game companies in the entire world.
Fortnite, unreal Engine, all this stuff.
So they just had the Unreal Expo, whichis where they debuted a lot of awesome
new things, which are four footage,which I dunno if you saw, looked
amazing, but this is the deal I did.
But again.
One of the biggest empowerers of creators.

(32:31):
Yes.
And creatives.
Yes.
That's, that's epic.
A lot of people use their tools, theyuse their engines that are not just
in gaming, but in motion pictures.
Yeah.
Yeah.
So, uh, you look, I, Ifully subscribe to this.
We've talked about the barification of all things.
Yes.
Which is, the middle is going to beeroded and on one side you're gonna
have individual content creatorsthat are making feature films.
Yeah.

(32:52):
That might look a little AI at first,but eventually will rival the Hollywood.
AAA gaming.
Yes.
Massive multimillion dollar giant team,GTA 12 stuff over on the other end.
Yeah.
And I, I know people fear of the,the interim and the job displacement.
I completely understand that.
And you know, we don't need to diveinto that here, but, but just for a

(33:13):
second, compartmentalize that and go.
Okay.
If you were at, let's say, a companythat had a team of 30 and that is
no longer feasible, now you're,you're, you're wondering what to do.
Maybe you team up with three or fourothers and you build a massively
multiplayer game leveraging AI becauseyou can generate that many art assets.
Once you define the style, youcan voice that many characters.

(33:36):
Once you decide what they shouldsound like and, and what their
personality traits could be, you can.
Vibe, code server architectureto just get you up and running.
Yeah.
On a play test and maybe getsome fans and get funding, so.
I I, I'm not saying you should for, uh,completely forgive or forget everything
else that's over there that could be bador potentially wrong, but open yourself
up to what some of the most celebratedgame designers and creatives, uh, of all

(33:59):
time are saying, which is this is gonnabe revolutionary and it's going to empower
individuals to make amazing products
of 100%.
And the other thing to thinkabout is if you're a specialist,
really in any industry.
Unless it's, unless it's AI modeltraining, I would say think of the
generalized version of what you want todo going forward, because you will be
able to do many more jobs with AI's help.

(34:21):
So it, and what I'm saying that inthe games business is like you may
have specialized in a specific type ofanimation, or you may have specified
in a specific genre of something.
If you and a small team can be moregeneralists and think about ways you can.
Split up your work amongst yourself.
I mean, Kevin and I have done this in thekind of secret project we're working on.
There's all sorts of ways thatyou can open the door to this.
So to me, it's cool to see TimSweeney coming out and saying this.

(34:42):
I think we're gonna be goingthrough this a little bit.
I mean, obviously Breath of the Wild isan amazing piece of art, of work, of art
as is like many of the Nintendo games.
I don't think he means per se that likeit's going to be exactly there yet, but
he can see a world where it gets to it.
If 10 people make breath of the wild,that does not diminish breath of the wild.
Yeah, totally.
Right.
Yeah.
And that's an amazing thing for those 10people to make another game that people

(35:04):
absolutely love and still play to thisday, so, so let's not be upset that
it's 10 people doing it potentially.
Okay.
You mentioned our super secretproject as much as we love.
To pontificate about thefuture of all things ai.
As much as I love vibe coding and theway it's unlocked, me being able to
develop things and, and, and othersare claiming that as well, you and I
are hunting for a full stack developer.
Yeah.
Someone with years ofexperience and expertise.

(35:26):
You and I know the toolsand what they can do.
Yeah.
And, and how you can breathe appsand experience into existence.
But there's still very much,and I still think going to be
very much a role for expertise.
Yes.
You know, for, for, for, by the way.
If you happen to be a full stackdeveloper out there, reach out.
Reach out, everybody.
Reach out.
Or someone with a audio engine experience.
Yeah.
Or uh, whatever.

(35:46):
Like we, we reach out to us.
We're hiring.
We're hiring for real.
Yeah.
Figure
it out.
Kevin Flux context came out last week.
This is Black Forest Labs update totheir flux image model, which we love.
We've loved for a while.
Um, they have come out with context, whichallows you to basically swap in different
versions by keeping everything the same.
If you know, uh, OpenAI of image sourcing,this is a lot of control network, right?

(36:09):
It's a lot of that sort of stuff.
So you can put an image of something up.
And hopefully get back the same thingor, or match a style in specific way.
And I'll point out it's naturallanguage editing as well.
Yes.
So if you snap a picture ofyourself and say, Hey, gimme a
mohawk, or put me in a cool leatherjacket like Jensen, it can do it.
Um, I know you played around with it.
I, I very briefly poked at the APIand tried to, um, take a person

(36:31):
and just modify their clothing.
Yeah.
Which is an example that everybodyis like, oh my God, this is amazing.
I was, I gotta be honest, nottoo impressed with the results.
It put the clothing on the person,but in the meantime completely.
Modified their face.
Yeah.
Uh, and the pose and everything else.
And I've just, like, that to me is oneof those examples that should just work.
There was a great, uh, tweet threadfrom Min Choi, king, king of the AI

(36:52):
tweet threaders, but he talked abouta use case where it could EZ and,
and help old photos that there'sa lot of good examples in there.
There was another guy who wentby, uh, at eight bit e who showed
what flux context plus Juan videoand comfy UI altogether could do.
Mm-hmm.
So you can see in a, in a reallyinteresting open source workflow, if
you're deep in that space, you could doa lot of interesting stuff, but, okay.

(37:15):
My examples here, if you lookin our, in the drive there.
I wanted to see what I could do quickly,because in my use case, what I'm
trying to figure out is like, firstof all, is this better than something
like four oh image gen off the shelf?
So I used a couple models first.
I used Flux Context Pro, whichis their basic like swap out, uh,
genre look for something else.
So on the Flux Context Pro page, uh, on,on Replicate, you see Black Forest Labs.

(37:38):
And this is a big thing whereyou're trying to see like how it
transforms something into the other.
In this instance it says make a nineties.
Cartoon.
So I wanted to use that exact sameprompt to see what I could do.
And then I compared itto four oh image Jen.
So if you see in the drive, I took ourthumbnail from last week and I just
used the exact same prompt that they hadhere, and I put it through Flux Context

(37:59):
Pro and you know, it's not bad, right?
You can see like, it's a kindof an interesting output.
Like it gets the text, right?
I don't think it's like amazing, butit, it does look like nineties cartoon.
But then Kevin, go andlook at the version I did.
With four oh image gen, which again,we've had our problems with, but to me,
much more nineties cartoon, it almostlike the text almost looks better to me.

(38:20):
Our faces are definitely better.
So this goes to the point of like, Ithink if you're really good at using
open source tools and comfy ui, I.
This is gonna be massive for youbecause it's, it's a door you can open.
The other thing I I used was Flux contextMax, which in their example, shows how
you can take a, um, a logo and put itin location and they're beau It's a

(38:40):
beautiful sort of 3D shadowed logo.
I did the same thing.
Now granted our logo maybe not fitas well, but the same thing with
Context Pro and four oh Image Gen.
And again, I have to say like the betterversion of it was kind of four Oh, image
gen. If you look at the two differentversions, like it, it put it, I used the
same prompt and it put it in location.
Now, the Flex Context Pro camea little closer to holding onto

(39:03):
stuff, but if you see the examples,they're not perfect, right?
They're not, that's not like it'sa major thing that it felt, didn't
feel like a huge leg up to me.
But Al
for humans,
yeah, I do.
Is that about Al Borland orweird Al? Like which Al is that?
Yeah, I mean that's, I'mwatching that totally got
it wrong, right?
Like Al for humans it didn't, itthought that was AI for humans.
So in my general experience,if you are a. Open source Maxi.

(39:26):
If you love Comfy ui, this is great.
If you are more trying to just dosomething simple, I still think four
oh image gen is probably better at alot of this stuff than you might need.
And that, that was my, myinitial, uh, take on it.
Okay.
Kev, another thing I tried quickly,Hagen Avatar four came out,
which, um, you know, is their mostupdated talking avatar feature.

(39:47):
Um, just to show you like, you know,this is, they did give us some credit,
so I wanna be clear about that.
I got some credits forfree to try this out.
I think it's good if you, if you playthe first clip, you'll get a sense of
like, I basically took a single screengrab from a, from a, a mobile video
I made to see what I would look like.
So you can play that for everybody here.
This is my test of Hagen's Avatar four.
I was given some credits tocheck it out and I'm wondering.

(40:08):
Do I need to do this anymore?
Well, you got Jordan Belfort mouth.
I know you got Wolf of Wall Street mouth.
I really do.
It's pretty
crazy.
Like Big Choppers.
Right.
Please,
if you're getting theaudio only go to this.
Yeah.
And watch it and tell me he'snot about to sell you a pen.
Yeah.
Like that is, that was full wolf mouth.
So
I
got
some, you
know,
you know what's, what's sointeresting about this to me,
and I've said this before with AIavatars is like, look, it will work.

(40:30):
And, and one of the other big pushes forthem is like virtual avatars and like.
The difference.
Really the only main thing I haveproblem with is the teeth look
different than my teeth and there'sa little funkiness to it as well.
Full disclosure, I usehey gen almost daily.
Yeah.
On some of my AI products.
I've known about these updates,but couldn't say anything.
Yeah, sure.
So I'm, I'm glad they're finally here.
'cause I think the gesture support,which maybe we'll get to Yep.
In their new video editor, whichis really like a text file editor

(40:52):
is super interesting to me.
But for this.
Avatar version.
Gavin, what did you have todo to train it on yourself?
Uh, nothing.
Single picture.
So that's the thing, like, so this is asingle screen grab, so that is very cool.
Right?
Yeah.
But you know, in some ways, like it's notthat far off in terms of what you can do,
withed, all these other lip sync tools.
Correct.
Um, and I will say to your pointabout, you know, you've been using

(41:13):
this on the enterprise side, I thinkfrom a value standpoint, if you
are really doing a lot of work or.
Really high-end work with onemodel that you have created.
Like there's real value probablyin hey gen, like backend.
The other thing, Kevin, I'll show you isI, I took a, I took a screen grab of a,
of our, uh, we gotta come up with a namefor our, our Terminator character that we
put in our thumbnail is what I tried tomake, uh, this character speak as well.

(41:34):
Because to me, again, the biggestthing is like, how do you do
characters that aren't humanoid?
How does it recognize faces?
And it didn't do amazing withthat either in some form.
Ha ha, Kevin and Gavin, the worldisn't ready for me Avatar for Bender.
Oh, interesting.
Yeah, I, I've seen some examples where.
It, it works incredibly well.
Yeah.
Of animating like, you know,weird characters or Pixar like

(41:55):
animals or whatever That particulartest was a little, and it might
just be like how its it, butlike, again, all this is just
getting better all the time.
And, and you know, if you reallywanna dive in, there's a, whatever,
an hour long, hey, gen, uh,
keynote.
There's a keynote presentation, a keynote.
I, I will say so, so the editor,which is interesting is because,
you know, they're, they're trying torethink the way video editors work.
If you've ever done any video work, youknow that it's usually layers and it's

(42:17):
like, you know, your, your footage withyour graphics on top and maybe some
sound design below, they're getting ridof that almost entirely and going for,
you have your script, and then if youwant a graphic to appear, yeah, you can
go place it where it needs to appear,but you can highlight the words and
say, this is where the graphic comes in.
This is where it goes away.
Similarly.
You could take a script of Gavinsaying, welcome to AI for humans.

(42:38):
I could highlight, welcome,and say I want a thumbs up.
And I could, I want thevoice to be excited.
That's cool.
Yeah.
And on the humans, I wanna point and so,you know, it's still very early Yeah.
For this sort of stuff, butyou can imagine like it auto
generating a library of gestures.
Yeah.
Emotions, not just with thevoice, but in the, the facial
expressions of the character.
You sort of Q seeing them and going, yep.
Okay, that works.
That's good.

(42:58):
And now suddenly.
Your avatar can be contextuallyaware of what it's saying because you
know, the, the, you should try this.
Licorice is delivered with the exact samelevel and of excitement and a smile as,
I'm sad grandpa went to the farm upstate.
Yeah.
Like it's all the same performance,so we gotta get more grand.
And one thing I'll say about that is we'reworking on a presentation for next week.

(43:19):
By the way.
We are gonna be at the.
Banff, uh, film festival, uh, next week.
So if you're there, take a look at us.
Come find us.
We'll, we'll say hi tous if you're a listener.
Yeah.
All of our listeners that are goingto the G seven summit right after
that, maybe come a little early.
Yeah.
Fly those PJs in.
Exactly.
Why not?
One of the things that's so interestingto me about making content for that is
just how hard audio can still sometimesbe to get what you want out of it.
Right?

(43:39):
Like you really do have to thinkabout custom models and doing all
that sort of work to make it work.
Okay, Kevin?
We have to keep going.
Mark Andreessen has been starting totalk about robotics in a big way, and
you have, you know, mark Andreessen isthe head of a 16 z. They are a, a one of
the biggest players in the VC business.
But in this clip specifically, he saidsomething that I think is important for
all of our listeners and viewers to hear.

(44:00):
You've all probably seen, you know,Elon has this optimist robot that he is
building, um, these human aid robots likethe, the, the general purpose robotics.
Thing is going to happen and it'sgonna happen in the next decade and
it's gonna happen at giant scale.
And I, I, I think there's a plausibleargument which Elon also believes
that robotics is gonna be the biggestindustry in the history of the planet.
It should be gigantic.
A billion, big billion.
That is
a big, think about it.

(44:21):
Now, granted, I just to be clear, I'msure they have investments in a lot
of robotics work, but I do think wetalk about robots on the show a ton.
Humanoid robots are the things thatif you've been watching our show or
listening to our show for a couple yearsand you were early on, all the stuff
we're talking about that's now come tothe mainstream, this is the next one.
Right?
And Unit Tree has just teased thefact that they may be releasing a sub

(44:42):
$10,000 robot, which is a big deal.
We also know that we've seen theunit tree battle bots that we
talked about last week, but havinga sub $10,000 humanoid robot is
something that's pretty significant.
Yeah.
Uh, listen, uh, we already knowthat if it can fold laundry,
Gavin, you're gonna allow it Yep.
Into your household.
Yep.
I would, I would consider onein mine at sub 10 K depending

(45:04):
upon what capabilities it had.
But, you know, again, this is, thisis such a race because as, as cool as
the simulations are that these thingscan learn end to end through ai, by
simulating, walking around, pickingthings up, the data that they're gonna
get from it, being in the real world.
Yeah.
Moving about interacting withpeople is going to be massive.
And as long as it doesn't karate chop.
Flail its arms like the robotwe had a couple weeks ago.

(45:26):
What if, you know, I could seethese things popping up everywhere.
What if it
could play badminton with you?
Kevin, would you like that?
You can charge me 20 bills for that baby.
Are you talking about therobot dog with a little.
A little racket on its back.
Gavin?
Yeah,
so this is from ETH Zurich.
They're a research, uh, lab.
There's a very fun little video ofit playing badminton with somebody.

(45:46):
What's interesting about that to meis that you, you know, you often see
these robots that are, we have featureone a long time ago in the show where
it's a tennis launching machine, right?
And it will launch a ball back and forth.
But an instance where now it's getting tobe pretty good at tracking where you are.
So you can imagine a role wherethis is for practice, for sports
stuff, but not just for that.
Like, think of all the other use cases forsomething like this, whether it's like.

(46:08):
You know, a training model or it'ssomething even if you, you know, wanted
to have, I'm trying to think of some,some other use case besides training.
Like I literally
can't think of another use case.
Badminton or bust.
That's all this thing.
Now, how about pickleball?
What's crazy?
Is it, how about pickleball?
No, it could never be good.
The robots will never be goodenough to play pickle ball.

(46:28):
Fair enough.
You can clip that.
'cause it's never gonnacome back to haunt me.
Good outta my kitchen.
Ai it was trained in a simulatedenvironment, which is interesting.
Yep.
Right.
And when you watch the fluidity, thespeed, which with which this thing is
tracking the object, adjusting its littlerobot dog position, whipping the thing,
it has the clearly the knowledge andunderstanding of where the racket head is

(46:48):
and it's thwacking it back to the player.
That is impressive.
And this, we say it every week.
This is as bad as it's gonna get.
So yeah, there are, thereare implications here.
I don't know exactly what they areyet, but there are implications.
Speaking
of implications, it's time to talkabout the things you talked about and
showed off on the internet this week.
It's ai.
See what you did there.
Metimes, yes.

(47:10):
Without a. Then suddenlyyou stop and shout
what you did
there.
Okay, Kevin, this implications, we needto talk about the implications of VO
O three because this may be, I knowwe've been through a lot of things.

(47:32):
This may be my all time favorite video.
I discovered this video on the Bardsubreddit, which is a hilarious thing
to me, but it has since blown up.
Let's play a little bit of this video.
A revolutionary athletic programis challenging everything we
thought we knew about cats.
Here's Brooke Landry.
You might think a synchronizedswimming team for cats sounds insane.

(47:55):
But a brave team of trainers istrying to prove this guy to the song.
Okay, so you're not watchingwhat's on the screen.
Seattle Yeah.
Is you see very
believable.
Local news, uh, coverage.
It's like they did a great job.
This guy, his name is notice underscoreanalytics, the original poster, and he
actually created a news story about Kazsynchronized swimming and like again.

(48:16):
These are the moments of joy you live for.
If you're following this, it's so good.
Yeah.
If you're following this world,there's a big, there's some
big surprises towards the end.
I don't wanna ruin it, butit's a very long, fun video.
You
have to, you have to go grab the shownotes if you don't do the video of this.
If you do, then you already know thesequence outfits that the cats are
wearing, the little swim goggles,and then when it cuts to the trainer.

(48:37):
That's like it is a laugh out loud moment.
Yes.
In a, in, in a way that nota lot of AI videos get me.
This was masterful.
I do wanna get the hint.
There's a little bit of a scandaltowards the end where the cats
might be, uh, ingesting substancesand it covered a whole thing.
Anyway, really big shout out tonotice analytics for doing this.
It's great.
He was basically like, kind of wantedto try something and this is the kind

(49:00):
of creative, fascinating stuff thatcan come out when somebody just is to
like dump their brain into AI video.
Yeah, I, I have seen, you know, this isanecdotal, but on LinkedIn, Gavin, a lot
of e, even folks that were even never ai.
Yeah.
Coming around to the, alright.
So I decided to see what thiswas all about and look at
this thing that I just made.
Yes, yes.
And it's usually a littlesnippet of something or a spec

(49:21):
commercial or whatever else.
VO three is inspiring a lot of people.
Yeah.
Again, it's anecdotal, but in my littlebubble, I'm seeing a lot of people.
Dipping a toe in the VO threewaters and getting inspired.
Totally.
And speaking of that, Kev,there's a really cool thing that
somebody made a Veel hub on theirYouTube channel made VX Flix.
And what this is is Sora and VO three,but kind of integrated into a Netflix ui.

(49:44):
And so that it really does looklike there's all these kind of fake,
uh, movies that are playing and.
You know what's cool about it isyou see one of the, what is the
main video is like Heavy Lies, theCream, and it's like a story of like
putting cream into a cup of coffee.
There's a, uh, a fake reality show calledGene Pool, and it's cool because each
of these is, is seen as like a popuppreview that you would see on Netflix.

(50:04):
The,
the Lex, the Lex Friedman standup special.
Yeah.
Yeah, exactly.
All this stuff is stuff that you cando, but what's cool about seeing another
creative cool person putting this into aformat we know it elevates it to something
else, which I think is very cool.
Um, I really quickly wanna shout out,it's not a visual something, but Jack
Dorsey the, uh, original, uh, Twitterfounder and if you will, I think he's.

(50:26):
Like the Rick, I know Rick Rubinis now into vibe coding apparently,
but I feel like if there was evera Vibe coder, it would be Jack.
He said quote, I now spend two to threehours per day reading research papers
and building something with Goose thatI didn't think it capable of doing.
I never see a line of code and neveruh, and never trapped in an IDE.
So Goose is like skunkworks projectthis age agentic coating something.

(50:50):
Um.
What he's alluding to here.
What Jack is saying is, is the promiseof this future that you and I have
talked about so many times, which islike, it's great that AI can code, but
there's a huge barrier to entry anytimeyou have to get into an environment
where coding actually happens.
Yeah.
In a meaningful way.
Like not little web, web apps, not liketiny little snippets, but like real.

(51:11):
Actual, uh, structural things.
And what Jack is saying is thathe's spending hours a day writing
code without writing code.
He's just talking to Goose andit is building things and despite
requiring some nudging every now andthen, it works nearly every time.
So again, hyping his own bag, so to speak.
But there's a lot of people sayingthat is the future of video editing.

(51:33):
Of coding, yes.
Of painting, of visual effects.
It's not having to directlymanipulate the tools, it's.
Interfacing with the machine sothat it can do the work for you.
That's
right.
And it's a great way to kind of endthis in the whole idea of that, like
for today's kind of thesis around theshow is really like these are gonna keep
getting better, as we've said all along.
And this is like one of the biggest like,you know, on paper developers that has

(51:55):
existed in the last 10 to 15 years whois diving into these tools full time.
So that is it today, everybody.
We will see you all next time.
Stick around, share us yourstuff, and, uh, hopefully
we'll see you on the internet.
I thought this would stickaround as you were teasing.
What's coming up next, Gavin?
What, what's coming up next?
Our next meeting.
I don't know who, what, what are we, the,
what are we lead for?
That's a good question.
You came for AI for humans, but stickaround because it's what is, I guess

(52:16):
maybe it's one of the other AIvideo people that we love and know.
Uh,
I was gonna be like bowling.
Bowling with bowlingfor robots or something.
It'd be something similar likea vo badminton with the boys.
Yeah.
Like what is the dumb VOthree thing that's kind bad.
Oh, BADM, MIT with the boys is.
Pretty good.
Or maybe it's a bunch of robots thatdrink in a Irish pub and they talk about
their old lives as playing badmintonplayers, like it's that sort of thing.
Stick around.

(52:36):
Bye.
Bye everybody.

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