Exploring the frontiers of Technology and AI
Josh:
Just yesterday, OpenAI released ChatGPT Images 2.0, and the model blew my mind.
Josh:
I was up until two o'clock last morning playing around with it because of how powerful it is.
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As I was watching Sam announce this model, he was talking about how image gen
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wasn't really that important to him. He felt like they already had a good image generation model.
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When he was presented with the outputs of this one, he had his holy shit moment.
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It's actually really phenomenal.
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And through trying it ourselves, we have uncovered that it's actually true.
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I mean, we've really frequently used NanoBanana as the go-to default image generator.
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But now it's getting close to being indistinguishable from reality entirely.
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And we have a series of examples that we're going to show you that are probably
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useful for your actual applicable life.
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Things like interior design or generating comics or generating sales graphics.
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I don't think there's anyone who wouldn't find a beneficial use case of an image
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generator model that is as good as this one. So let's get into the actual announcement.
Josh:
Let's walk through the examples. It's pretty amazing stuff.
Ejaaz:
Around midday yesterday, OpenAI tweeted this very mysterious post and it goes,
Ejaaz:
This is not a screenshot, which is weird because it looks like a screenshot
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of someone's Mac desktop,
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except this is completely AI generated.
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And this was the precursor to their official announcement, which is ChatGBT Images 2.0.
Ejaaz:
It's their new image model, and it absolutely blows every other image model
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out of the water. And I don't mean that as an understatement.
Ejaaz:
It is number one across every single image benchmark.
Ejaaz:
It's beaten nano banana to and any
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of the chinese image gen models just completely don't weigh
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up so what are some of the new things here well the fidelity and
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quality of these images are incredibly high you're seeing a demo video here
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where we have a chameleon in various different positions the wording text is
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typically such a hard thing for image models to nail especially when the ai
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world it would like jumble up the letters or it wouldn't spell things correctly
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now we have that completely and utterly resolved.
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And so you can see some of these examples come to life here.
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For example, look at the fidelity of this image of rice.
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Typically, this would just look like a gobbled white mass. And now you can individually
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see each grain, which is pretty nuts.
Ejaaz:
And then you have examples which are a little scarier, where this looks like
Ejaaz:
a real screenshot of a handwritten note in someone's stylistic way,
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but it is very much completely AI generated.
Ejaaz:
So you can imagine this could be used for various different nefarious purposes,
Ejaaz:
which might get more malicious.
Ejaaz:
But there's a ton of different examples and we want to get straight into it,
Ejaaz:
starting with ones that we've generated ourselves. There's one around furniture, right?
Josh:
Yeah, but I actually want to start with the rice one, because what you mentioned
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with the rice is that it's precise enough to show the grains of rice,
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but it's also precise enough to write a single word on a grain of rice.
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And that fidelity is new. So what I did is I actually went to ChatGPT myself
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and tried to emulate this.
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And I asked it to create a piece of rice with the word GPT Image 2 generated
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on it. And this was the output that I got.
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Or actually, this was the first output that I got. And I spent maybe five minutes
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trying to find the grain of rice. I don't think it worked.
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So I asked it to draw a box around the grain of rice and it drew a box and then
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actually etched it in the middle.
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So there are some edge cases that don't quite work. I mean, that grain of rice
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was not in the original one.
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But for the ones that do work, it's pretty incredible. And you mentioned furniture.
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I am currently living in an apartment that can use a little bit of extra furnishing.
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This, unfortunately, is not what my apartment looks like. This is a much nicer
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variant of something that I would like to aspire to.
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So what I have prepared here is a reference image for ChatGPT along with the
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prompt of what I would like it to do.
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And that involves just doing things like...
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Adding lamps and adding different furniture basically swapping out the existing
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furniture that exists in this living room and moving it into a totally new vibe
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and style that i think i would more likely appreciate and resemble so while
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that's thinking i guess we can kind of get into some more of the interesting parts of this model.
Ejaaz:
Well i have a example that i actually have ready to
Ejaaz:
go here um i was kind of obsessed i don't tell anyone this i was obsessed with
Ejaaz:
manga as a kid and so i was like you know what would be cool if we could turn
Ejaaz:
our show you and i josh into a manga comic so i created this detail prompt i
Ejaaz:
gave this beautiful photo of us but look
Josh:
At those handsome guys.
Ejaaz:
Look at those handsome very handsome guys um and uh i basically asked chat gpt
Ejaaz:
to generate the prompt for me so i gave it a rough idea of what i wanted to
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create the scene as it were and it created a very detailed prompt with stylistic
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references details stuff that I wouldn't know because I'm not a storyboarder.
Ejaaz:
I'm not a manga creator, but funnily enough, I have an AI that can do it for me.
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So I don't know if anyone is paying close attention to this storyline here,
Ejaaz:
but if you're not, that's great because I want to show you the end output.
Ejaaz:
So as you can see, very long prompt, and this is the finished result.
Ejaaz:
So what you are looking at here is Josh and I,
Ejaaz:
Let me explain this. Josh and I have been filming a podcast.
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As you can see, we've got us set up over here.
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But then we look out the window and there is a shadow.
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And we notice that it is Sam Altman, Godzilla size, coming down upon us,
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terrorizing New York City.
Ejaaz:
This is, I'd say the time estimate is roughly five years in the future,
Ejaaz:
maybe even three. Don't know how quickly AGI gets here. We grab our weapons.
Ejaaz:
It is clawed. This is not a sponsored video, by the way. I just came up with
Ejaaz:
this randomly. and it shoots out prompts that wrap around Sam Altman and eventually
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bring down GPT-5 from taking over the world.
Ejaaz:
Now you know what's going on in my head, but if you just notice this,
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like look at the fidelity of this.
Ejaaz:
This like took five seconds to create the prompt and then another two minutes
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to create the actual image.
Ejaaz:
Look at the fidelity of this. Like the writing is all accurate.
Ejaaz:
The, like this would cost like thousands and thousands of dollars and weeks,
Ejaaz:
maybe months of time to actually create from scratch. and this did it in a bunch
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of seconds for a couple of cents like it's pretty
Josh:
Impressive oh it's so good so if manga
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isn't your thing we have the furniture example it's
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ready to go so here i have the original that we're seeing on screen right now
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this was the original living room i fed it the prompt and here is the new one
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it totally maintained the integrity of the room while swapping out just a few
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key pieces of furniture to change the vibe and i think it's a testament to a
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practical use case that a lot of people might have,
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They want to design things. They want to make things look good and maintaining
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the personalized fidelity of whatever space it is.
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If you have a piece of clothing, I know this works for try-ons.
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It's really good at maintaining continuity throughout these images.
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So I thought that was a pretty interesting thing.
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If you have an apartment, if you have a closet worth full of clothes,
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you can just place those clothes out, take a picture of you,
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take a picture of their clothes, ask it to address you, ask it to redo your
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living room, whatever it may be.
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Super powerful and works fairly quick. I mean, this output took maybe a minute to generate.
Josh:
And for those not sure this is actually available to all users of chat gpt i
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believe very limited instances for the free users but if you have the plus plan
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for 20 a month you can just go off and start creating images and it will look
Josh:
just as good as this one yeah.
Ejaaz:
I mean if you're a professional that has been toying around with using ai but
Ejaaz:
it's just never been good enough it's always got some form of error whether
Ejaaz:
minor or big now we have a tool that actually works for you so if you're a designer,
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if you're a floor planner,
Ejaaz:
there's a bunch of other examples I'll show here. This becomes a practical tool.
Ejaaz:
Like GPT Images 1 was very much a novelty and a toy. It was fun to see everyone
Ejaaz:
in Studio Ghibli versions of ourselves.
Ejaaz:
But now you can use this to create certain things.
Ejaaz:
Now, not all use cases are good. If you're like me, I use social media to disseminate
Ejaaz:
a lot of the breaking news that happens in the world of technology,
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AI, or whatever it might be.
Ejaaz:
But you now have reached a point
Ejaaz:
where we can't necessarily believe everything we see and images
Ejaaz:
too from chat gpt doesn't make that any
Ejaaz:
easier what you're seeing on the screen right now is not
Ejaaz:
an official take or update on the bloomberg terminal that is also not my desktop
Ejaaz:
monitor this is completely ai generated and you can probably tell parts of this
Ejaaz:
like kind of gives it away it's a little too zoomed in unless of course you
Ejaaz:
can like change the default settings in your the Bloomberg terminal,
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but some of these things are really good.
Ejaaz:
This is exactly where this is on the Bloomberg terminal.
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The percentage mark isn't that large on the actual thing.
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It's got all the sections pretty much nailed. So you know that the model looked
Ejaaz:
up official Bloomberg terminal layouts and like recreated it,
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but it added a completely fake kind of like bit of news.
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So you could change that bit of news to represent real news,
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but it would still be fake.
Ejaaz:
So there's a lot of like avenues here for misinformation or disinformation.
Ejaaz:
So like not entirely accurate, but somewhat accurate.
Ejaaz:
You can imagine the kind of social media frenzies that this would create if
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people were to believe and buy into these things.
Ejaaz:
Like imagine if you read an announcement that wasn't actually real,
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bought a stock, and then it realized that it was fake, and then it crashed.
Ejaaz:
You could end up losing money.
Ejaaz:
You could fake data. There's a lot of avenues of this go down.
Josh:
Yeah, there's two points on this. One is that we're at the point now where even
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if you pixel peep, it is almost indistinguishable from real life.
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You can't really tell what is AI generated and what is not. And as that kind
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of gap converges, I imagine it will create a lot of chaos where there's just
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no way to tell what's real when these images are so good.
Josh:
The second thing that I'll mention is from this model in particular,
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anytime it's asked to generate a visual asset of a piece of software,
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for some reason, it's exceptionally good at understanding the nuances of every
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frame of every piece of software.
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Last night, I had it do DaVinci Resolve, which is what I edit a lot of videos in.
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I had it emulate Photoshop, and it got every single slider down to the correct pixel,
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which leads me to believe that it appears as if
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there was some training customization around the software
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project in particular and you have to ask the second order
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question why why is it so good at all the software and I guess the answer for
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me is well it's probably because they want their agents to understand how to
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navigate it and then eventually emulate it and then eventually replace it and
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this nuanced understanding of how everything works is training for the image
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generation model but also training for.
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Just i mean the future of what these agents are going to look like so
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there might be some hidden stuff going on behind this image generation
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model as well so back to the demos in addition to these capabilities
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we have another one teed up right here which is to create a premium
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infographic poster another strong suit of this model is
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text and how well it's able to render text that looks lifelike looks accurate
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and is able to kind of create a like a storyboard if you will a poster it can
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create multiple outputs what i've asked it to do here is create an editorial
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infographic and this is the first time I'm actually seeing the output of this
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and it seems pretty cool.
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So this is for Limitless as you are familiar with and it kind of walks through our week in review.
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So the things that Limitless mentions, this is the poster that serves as like
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the weekly roundup, the weekly review.
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It is pretty good.
Ejaaz:
Is it accurate? Yeah, I'm curious.
Josh:
You check the accuracy, I'll check the QR code, see if that works because word
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on the street is that QR codes work pretty well. wow.
Ejaaz:
I might need to replace the entire roundup newsletter josh with something like
Ejaaz:
this just a quick a quick glance quick take away
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You can imagine how this can kind of carry out
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to other applications right it's like if we want to juice the
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newsletter up a little bit we could just create a graphic with one prompt
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by feeding it the context of everything we spoke about to give you
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this detailed infographic this also applies to educators
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and people who are teaching things it's really
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easy it to make graphics on particular lessons or
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mathematical equations or diagrams or anything you want visually represented
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it's exceptionally good at that so i thought this demo was kind of fun it creates
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the limitless we can review as a poster that's printable the qr code does not
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work but i've asked it to make the qr code scannable so while it finishes that
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up and we test that maybe we could go on to another example yeah.
Ejaaz:
I was just going to say before we move on um the educational traditional
Ejaaz:
point is a very precedent one, mainly because if you're like me,
Ejaaz:
you could read as much text as you want, but sometimes a visual that summarizes
Ejaaz:
everything really helps.
Ejaaz:
You can now plug an entire book's worth of text into a single prop.
Ejaaz:
A lot of these frontier models now have a million contexts, which is a couple
Ejaaz:
of novels or many, many novels.
Ejaaz:
And so if you can imagine, if you're trying to learn about something and you
Ejaaz:
want the key points, you can not only ask the AI to summarize things and give
Ejaaz:
you a bullet pointed list, you can get them to transform it into an illustrative
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poster that just you can look at in a glance before you go to bed and learn something brand new.
Ejaaz:
So I can imagine this being used in science as well.
Ejaaz:
Back when I had a biology degree or back when I was doing my degree,
Ejaaz:
I remember we used to have these like research poster conferences and they used
Ejaaz:
to be like, I don't know, A1 size.
Ejaaz:
It was absolutely massive. And you would have so much condensed information
Ejaaz:
there and it took me weeks to make and the fact that i now have a tool here
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where you can just probably plug in a bunch of papers
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get out extract the right information and then put it out in a
Ejaaz:
very visual way just blows my mind like we are condensing a
Ejaaz:
lot of frontier research and education tools like
Ejaaz:
with this one simple update it's very very cool but to move on to uh one more
Ejaaz:
example that we generated um one thing that's cool about images too is you can
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play around with one image and make it into several different aspect ratios
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so what we have here is an individual i don't know who this individual is,
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but it has generated it looking out onto the greatest city in the world,
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in my opinion, New York City.
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And it's in like a nice little sunrise or sunset. I can't tell which one is which.
Ejaaz:
But as you notice, it gives us different aspect ratios of the guy.
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Like over here, we see him on the left.
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Over here, we see him from a distance back. Over here, we see a panoramic view
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where we can see him looking out onto what is this? This is Brooklyn Bridge.
Ejaaz:
So the details of it, you know, you can see some of it is like kind of like
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blurred aspect ratios as well.
Ejaaz:
It's just very impressive and you could start creating like
Ejaaz:
storyboard sequences from this or just kind of like pitching visuals to whatever
Ejaaz:
you whatever kind of like idea or concept you want to make you could use this
Ejaaz:
in the product realm if you're like trying to figure out whether a model looks
Ejaaz:
good advertising your product in like let's say the product was a coat in this
Ejaaz:
particular way or it could just be something advertising completely different it's it's very cool so
Josh:
How does this model perform so well i think
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is the question and one of the novel breakthroughs that this image
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model has that others don't is the detailed reasoning capabilities this is an
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image generated model that will think before acting and will reason through
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the steps required to get the best image output so generally it's just pure
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inference you give it a context you give it input and it just spits something
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out this one actually reasons through the,
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i guess the reasoning of why it's doing these things and that's part
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of the reason why even though you're not giving it necessarily the
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best prompt it's giving you a really powerful output and i
Josh:
have another fun example here of um just like more comic books
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that you can make this was a single prompt and that generated like
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an entire comic book with a really accurate character that's carried throughout
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another fun feature is the character continuity where
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you can generate a character it will be prevailing throughout all the images
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and then also one last example that we have here is of
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anyone who's involved in social media or just creating any sort of
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marketing material i asked it to create an ad package for
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a monster shop in williamsburg called sagebird and
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sagebird now has a full kit of various aspect ratios to be posted on any platform
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that looks photo accurate if you'll notice there's even a street sign that says
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bedford avenue which is a street in williamsburg which is very funny so i think
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the the fidelity the quality the capabilities of this model.
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Are really endless and again the constraint is your imagination with how far
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you can push this thing because it's just it's so powerful i had so much fun
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using this i must have generated at least 100 images so far just in the last
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24 hours and it is like it's so fun i recommend everyone go and try it and figure
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out what use cases are best for you so.
Ejaaz:
A question that came to mind immediately is okay it's good but how does it compare
Ejaaz:
to some of its competitors primarily nano banana 2 from Google,
Ejaaz:
who has previously held the number one spot here.
Ejaaz:
Now, if you look at this image over here, it's not just number one,
Ejaaz:
it's number one by a far mile.
Ejaaz:
I think it has like 150 point increase on Image Arena.
Ejaaz:
If you don't know what this is, this is like the number one benchmark to test these image models.
Ejaaz:
GPT Images 2 isn't just number one overall, it is number one across every single
Ejaaz:
category that is measured within this benchmark. By a long shot.
Ejaaz:
So it has a very distinctive lead. And if you're looking at this and you're
Ejaaz:
saying, okay, well, whatever, people can like orient benchmarks around this.
Ejaaz:
So like, we don't know if it's real.
Ejaaz:
I have a direct comparison for you. So the same prompt fed into GPT Image 2 versus Dano Bonata Pro.
Ejaaz:
And you can see that there is quite a lot of differences. You can see GPT Images
Ejaaz:
2 over here on the left, the lighting is much brighter, the fidelity is arguably a lot better.
Ejaaz:
And as you can see, like, you know, there's more expression on her face, she's smiling.
Ejaaz:
And there's a lot more things in the background. Like if you look at the plants
Ejaaz:
in the back, it's way more hyper-realistic and harder to create for an image model.
Ejaaz:
Now, if you look on the right, Nano Banana 2 is very good, but there's less
Ejaaz:
complicated things going on behind them.
Ejaaz:
The lighting is a little bit off. And you can kind of tell that
Ejaaz:
I don't know, like maybe still on both sides, you can tell that they are kind
Ejaaz:
of slightly AI generated.
Ejaaz:
I would actually argue that images too, now that I'm looking at it for longer,
Ejaaz:
looks like the glisten just seems too glistening-y.
Ejaaz:
But Nanobanana 2 can get away with it because the lighting is a little less.
Ejaaz:
But the point is these models are getting way, way better.
Ejaaz:
And the examples keep coming, but it's not just visual things.
Ejaaz:
Like social media influencers don't have to be worried here.
Ejaaz:
You can start using this for very practical purposes. Now, there was this awesome example over here.
Ejaaz:
Where a guy took an image of a book, right?
Ejaaz:
And he said, could you generate me a barcode for this book?
Ejaaz:
And he generated the barcode. And when you scan the barcode,
Ejaaz:
it takes you, it's basically an embedded link.
Ejaaz:
It takes you to a page where you can then purchase or buy the book.
Ejaaz:
Now, this is very impressive for if you are like trying to sell a particular
Ejaaz:
product, especially if it's physical, you now don't need to go through the complicated
Ejaaz:
process of generating barcodes, getting it printed.
Ejaaz:
You could feasibly create your own design book cover, print it out,
Ejaaz:
and then wrap it around your actual product and it actually works.
Ejaaz:
It works with your internal system. So I just thought this was pretty cool.
Josh:
Yeah, it's amazing. The clarity. And again, I think this is a testament to the
Josh:
reasoning where it can actually recent its way through and generate an accurate
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barcode in a world where it previously couldn't.
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So now not only can it make infographics, but it could link these dynamic elements
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to real world artifacts, to a custom domain, to your book.
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They're actually usable without needing to take it into Photoshop and take it
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that final mile. And that's like a really cool unlock.
Ejaaz:
We have another example here as well of the front page of the New York Times,
Ejaaz:
which of course is entirely fabricated um or
Ejaaz:
at least partially so like this isn't a real article this
Ejaaz:
isn't a real image of a paper but all the information on
Ejaaz:
it so if you actually dig in here and read it um all the information about open
Ejaaz:
air unveiling gpt image 2 is accurate they pulled it from the blog post they
Ejaaz:
didn't you didn't have to provide the blog post they independently did it it
Ejaaz:
reasoned through it pulled out the most important points and then wrote it in
Ejaaz:
a stylistic manner of a New York Times writer.
Ejaaz:
So you can start imagining what this could do for press and media.
Ejaaz:
If you are a reporter, you might be thinking, huh, so you're telling me I could
Ejaaz:
just feed this the bullet points that I want it to make, and it could write
Ejaaz:
it in my voice, in my DNA that I stylistically write an article for?
Ejaaz:
That's amazing. You could also ask it to generate the image for you.
Ejaaz:
So there's this metro approach where you're talking about the product,
Ejaaz:
but then you use the product to generate an example image that you then put in.
Ejaaz:
This is, of course, also generated by images too.
Ejaaz:
So there's a lot of applications here. Again, I mentioned earlier,
Ejaaz:
disinformation is a very real thing. So you can imagine people sharing fake
Ejaaz:
news articles about things that aren't real, that might sway markets or inform
Ejaaz:
people in the incorrect way, but cool nonetheless.
Josh:
Yeah. And then there's more examples for people who are involved in architecture
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at all, if you're doing floor plans.
Josh:
I mean, this one was cool where you fed it an image of a house and then it generated a floor plan.
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But the next example I think was even cooler because this was a digital rendering
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of a large building that had all of the specs listed next to it.
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And using that spec sheet and using that 3D rendering, it
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created a fully rendered floor plan
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that you can actually use and send to an architecture to
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send to an architect to to actually make blueprints and build the
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building i'm not sure if this is up to code i'm not an architect but
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i imagine you can probably iterate your way through this with a proper architect
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to get it to be compliant to get it up to spec if it's not already and train
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it to do that so this there's this unbelievable unlock that happens for pretty
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much any profession that's generating any sort of image all you need to do is
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put a stamp on the bottom it looks like it it already stamped it with some fake stamp approval.
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But I'm sure if you do this type of work, you can kind of, you can put your
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own spin on and throw your own stamp on there.
Ejaaz:
If any of you are architects listening to this, I encourage you to try this
Ejaaz:
out because I'm actually curious whether this is accurate or if not, like how accurate is it?
Ejaaz:
Because obviously like architects in training, like train for seven years at
Ejaaz:
school, which is just insane.
Ejaaz:
They have to understand the physics behind the buildings that they're designing.
Ejaaz:
And I'm wondering, is this physically accurate?
Ejaaz:
Are the estimates, like, do they make sense? Or is this completely made up and
Ejaaz:
we still have a long way to go?
Ejaaz:
It looks legit to me, but then I'm not an architect. So if you're listening to this, let us know.
Ejaaz:
There's another cool thing here where, again, I mentioned earlier,
Ejaaz:
if you are a visual learner, sometimes you just, there's too much information.
Ejaaz:
You can create these posters bracketed by a particular subject and it kind of splits it up.
Ejaaz:
So like with here, we have like all the things going on in AI,
Ejaaz:
you got AI models and agents, robotics, semiconductors.
Ejaaz:
And you just have images which explain the start to end process of creating
Ejaaz:
these different things and what they actually do with a few words underneath
Ejaaz:
it, which I thought was cool.
Ejaaz:
And then there was this final example over here from Matt Schumer,
Ejaaz:
where I can relate to this because I formerly worked at a big four consultancy
Ejaaz:
and we had to create slide decks and it would take so long because you had to
Ejaaz:
move things in a specific way or reformat the text.
Ejaaz:
And Matt Schumer one-shotted an entire slide deck by just providing it a bunch
Ejaaz:
of information and it created it in the style of Spotify by the looks of it.
Ejaaz:
So very cool, loads of different applications and I can't wait for more people
Ejaaz:
to actually use this for professional purposes.
Josh:
Yeah, the model's awesome. And I guess the ask is to share whatever you're using it for.
Josh:
Because again, like those prompts, those examples are the only limiting factors
Josh:
to really what this can do.
Josh:
Because it has the reasoning, because it's so capable, it has the like pixel perfect fidelity.
Josh:
It's really just a matter of massaging it with prompts to get the output you
Josh:
want, not really a limitation of the model anymore.
Josh:
And like to Sam's point early in the episode, it seemed like it was great before.
Josh:
Now this is just unbelievable.
Josh:
I can't imagine going back to Nano Banana Pro knowing that this exists.
Josh:
And it's just a testament again to how fast we're
Josh:
going and like what the downstream implications of this may be in
Josh:
the future when you can generate infinite images for
Josh:
cheap that are pixel perfect and indistinguishable from reality
Josh:
what type of downstream effects does that have on
Josh:
every visual artifact that we interact
Josh:
with on a day-to-day basis i mean there's no way you could be sure and this
Josh:
this has a lot of implications that i'm not sure we're fully aware of now but
Josh:
will surely become known well as we kind of navigate through this it creates
Josh:
a weird dynamic that seems a little uncomfortable like i and now i have to navigate
Josh:
the internet with such a strong filter to just try to parse through what's real and what's not.
Ejaaz:
I'm curious whether this tool can be used to generate visuals that humans hadn't
Ejaaz:
thought of before necessarily.
Ejaaz:
Like as the AI becomes smarter and is trained on our prompts and largely our
Ejaaz:
flaws, like, you know, you can ask an AI to generate a detailed prompt to then
Ejaaz:
prompt it itself because we don't know how to prompt it itself.
Ejaaz:
Like it can do the same with images where it's like, I get that Ejaz probably
Ejaaz:
missed this point. And so maybe if I create this visual in this particular way,
Ejaaz:
it's one that he hadn't thought of, but now it like breaks new ground for it.
Ejaaz:
So I wouldn't put it past this model to like the model that we have to today
Ejaaz:
to generate something, a visual artifact that will soon be kind of like groundbreaking
Ejaaz:
for humans to use. Like maybe it's not a poster.
Ejaaz:
Maybe it's not a slide deck. Maybe it's something completely new that we haven't
Ejaaz:
seen before. Pretty exciting stuff.
Josh:
Yeah. So that's ChatGPT Images 2.0, the newest and hottest image gen model in the world.
Josh:
I encourage anyone to try to displace it because uh that would
Josh:
be amazing if it gets better than this but it's worth trying
Josh:
it's worth sharing what prompts you use that
Josh:
give you some specific outputs that you may find helpful interesting
Josh:
the use cases are the currency please share yours in the comment section down
Josh:
below if you enjoyed this video don't forget to share it with a friend who may
Josh:
also want to generate some images perhaps they're involved in social media perhaps
Josh:
they just want to redesign their hypothetical apartment whatever it may be it's
Josh:
fun it's worth testing it's It's worth trying to just like feel it and understand the intelligence.
Josh:
But yeah, I think that's pretty much it for today's episode.
Josh:
Are you there any final thoughts here?
Ejaaz:
Nope. If there's one request that I have, I want to see the images that you
Ejaaz:
generate and try and surprise us, try and do a use case that we haven't covered
Ejaaz:
on this particular video, because I'm curious of the creative purposes around this.
Ejaaz:
Our social media profiles will be linked below. DM us there.
Ejaaz:
And yeah, I look forward to seeing what you have to make.
Josh:
Awesome. Cool. All right. We'll see you guys in the next episode.