Exploring the frontiers of Technology and AI
Ejaaz:
Three weeks ago, OpenAI had an AI model that you couldn't access.
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The government completely banned it for being too dangerous.
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Then just last week, they released it for everyone to use.
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GPT 5.6 is available to everyone. And the first thing it did was delete someone's entire desktop file.
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Someone gave it autonomous access to do a small task, and it did a cleanup,
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which ended up deleting everyone's code, which begs the question,
Ejaaz:
is this model still safe enough to use?
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Now, putting this catastrophe aside, I want to know how GPT-516 compares to
Ejaaz:
Fable. And the truth is, it's a really good reasoning model.
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It's fantastic at coding, but most importantly, it's cheaper to the tune of
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50% cheaper than Fable 5.
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But the question on everyone's mind is, is it as good?
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The truth is, it's good at some things, and it's kind of terrible at other things.
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If it's long, agentic work, it's fantastic. But if it's high-quality code,
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it's less so. So there are three different models here that we're going to talk
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about on today's episode.
Ejaaz:
Sol, which is the premium tier, Terra, which is the mid daily use tier,
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and then Luna, which is the cheapest and fastest model. And we're going to put
Ejaaz:
it to the test live on this show with three different demos.
Josh:
Yeah, I think that's the idea for this episode is everyone kind of knows about
Josh:
GPT 5.6 chances are if you're listening to this, you're probably in the know
Josh:
enough to have been playing around with it. You've been using it in your chat
Josh:
GPT app, or maybe your codex app, which is now the chat GPT app.
Josh:
There's a big release, there's a lot of things that happened around it.
Josh:
But I think that the part that we're most excited to talk about is the demos
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is the actual practical applications of what you could do we've spent the last
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week kind of playing around with it testing it out seeing where those edge cases
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are on what the models are capable of
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is that way we could come to you and give you an idea of the types of things
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that you can go off and try with GPT 5.6 Sol Terra and Luna now Sol is the flagship
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most of these demos are going to come from Sol we kind of wanted to test the
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best we wanted to see what the model is capable of
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and what you can actually pull out of this thing is it fable level in terms
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of production in terms of
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uh game design in terms of all the demos that we like to do so that's what we're
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going to go through this episode is just kind of testing things out seeing where
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the edge cases are and seeing how this model lands
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amongst the landscape of other tools that are at your disposal so i just i have
Josh:
to ask first are we looking at the gpt app chat gpt app or the codex app because
Josh:
i know they're like they're separate now and the codex app became chat gpt
Ejaaz:
Well you're actually looking at all of them uh recently open ai combined their
Ejaaz:
chatbot interfaces with their coding interface with a series of other features into one super app.
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And that's what we're looking at on our screen today. I had to re-download an
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entire desktop app to get access to this thing.
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TBD on like whether this is actually a good move, but let's work through maybe
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some of the demos. Now, the first one that I have on my screen here is I asked
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Sol 5.6. Like this, I've been in New York for 10 years.
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I want to make a game. I love games. I've been playing games since I was a kid.
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I would like you to build a 3D Explorer game where I can fly around,
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on a magical flying bagel and collect various ingredients that go into said
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bagel so it thought about it,
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and you know privy to it it did this in one shot so are you ready for this josh are you ready to
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see let's fly around manhattan so this is the loading screen it's called ride
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the magic bagel very uh creative thinking over there and it says take flight
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to start this game um now i noticed like there's a few little discrepancies
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on the design but let's let's actually play the game.
Ejaaz:
Okay, so this is me. I'm on a bagel. It doesn't look like me.
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I'm going through random assortments of circles. The buildings around me,
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Josh, are supposedly meant to be Manhattan.
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And if I press space bar, I can use my cream cheese boost, as you can see on the left.
Ejaaz:
Yeah, so it got very creative. If you notice, the physics is a lot different.
Ejaaz:
So on previous demos that were done using Fable or GPT, we have always been
Ejaaz:
playing around with some kind of a 2D interface.
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I'm not a 3D graphics designer, but I know that if you spend a lot more time
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with this model, you'll be able to create something that is pretty triple A,
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rated or like close to that kinds of quality. I'm not talented enough to do that.
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But the fact that I did this and conjured this up in 10 minutes is pretty awesome.
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And it did some of the design and thinking around the game mechanics itself.
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Like if I crash into the ground, it's kind of like, okay, it's registering the spikes.
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And when I collect power-ups, it like gives me a boost up for whatever I want to do.
Josh:
Okay, so I like how it says the everything portal. I'm assuming that that's
Josh:
an ode to the everything bagel, which is nice and tasteful.
Josh:
The New York City part, I don't really see.
Josh:
So I guess in terms of like a one shot demo, it did okay. This is a fun demo.
Josh:
If you told me this was from GPT 5.5, I probably would have believed you.
Josh:
I'm not sure there's anything exceptionally different about this particular demo.
Josh:
But there are some interesting demos that maybe you could not have done before
Josh:
that you can do now that we haven't tried.
Ejaaz:
Okay, so for Demo 2, one thing that OpenAI is kind of known for is creating
Ejaaz:
really aesthetically pleasing images from scratch. GPT Images 2 is one of my
Ejaaz:
favorite image models to use.
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So I got it to create a very detailed floor plan of a aesthetically pleasing
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nuclear bunker that would be based in Denver, Colorado.
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Completely random, popped it out of my head, and it came up with this thing
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that you're seeing on your screen right here. So it has an airlock entry.
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You can see it's quite central-based for the lounge.
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You can see there's multiple rooms. There's a pantry, cold storage,
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general storage, et cetera, et cetera.
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And then I said, okay, now I want you to create a 3D interactive rendering of
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this building, build it as a simulator so it should allow me to walk around,
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enter it, enter different rooms, and there should be signboards basically for me to see.
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So on the screen here, it created that visual.
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So I'm in the bunker and I should be able to look around and you'll see,
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there's the dining room. There is the kitchen. I can like go into the kitchen.
Josh:
A little dark.
Ejaaz:
It's a little dark. It's definitely a little, it's almost like too dark.
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But they've kind of like, they've nailed the kind of like central sphere side
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of things. I like that they have a map, bottom left. It's very Call of Duty.
Josh:
Dare I say. Nice little HUD.
Ejaaz:
It looks very futuristic. There's no remnants on whether this is in Denver,
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Colorado, but I guess that is the entire point of a nuclear bunker. It's meant to be sealed.
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There's some kind of like locker system here as well.
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Again, in my opinion, it's very basic. And I wonder how much of that is just
Ejaaz:
because I'm not a 3D artist or visual graphic designer.
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And I'm sure that if someone more talented than me had a little more time,
Ejaaz:
more than 10 minutes, they'll be able to create something way more impressive.
Ejaaz:
But it's cool to just one shot. I think this is the dining hall. Everyone sits down.
Josh:
Yeah, I'm starting to see the kind of signature style of 5.6 just from this,
Josh:
which is like I've noticed both of these have similar color palettes.
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They both use green and purple.
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They both prefer like kind of shinier metallic objects they both are very geometric
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and sharp edges in a way they're very gpt-esque where it's kind of like very
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sleek and modern like it kind of looks what you would imagine
Josh:
the model to look like based on the design language of open ai this
Ejaaz:
Is a minecraft world.
Josh:
Yeah yeah like this is interesting i mean it's cool it's like cool that you
Josh:
could build this in one shot but you have a third demo as well right what is number three
Ejaaz:
The last one is probably, I had such high hopes for it because this model is
Ejaaz:
apparently amazing at visual editing, image generation, but also video creation from scratch.
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So I attached it to Blender, which is a popular tool that you can use to kind
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of render and create videos. And I said, hey, we have this Limitless podcast.
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It's one of the best AI podcasts in the world right now.
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I want you to create an intro with me where there is a microphone,
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represent the brand itself, it's Limitless, and throw in the logo in there as
Ejaaz:
well. I ended up coming up with this.
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Now, what you see on your screen in the center is supposedly meant to be a microphone
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that looks more like an egg on top of a pedestal.
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You have Limitless represented by the infinity symbol over here.
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And then finally at the bottom, the fadeaway is the Limitless logo at the bottom.
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Now, creating this from scratch took me like two minutes. I'm sure I could have
Ejaaz:
spent more time on it and come up with a better graphic rendering,
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but I really wanted to give you guys an idea of what you can do right now on
Ejaaz:
your desktop with zero experience.
Josh:
Okay. This is, I mean, it's cool. It's a very high quality blender element.
Josh:
I guess you could say it's like, it looks good. The lighting is cool.
Josh:
It looks professional. It just doesn't quite make sense.
Josh:
And I guess that's where we kind of are where the model has reasoning,
Josh:
but lacks the nuance to really piece these things together in a way that a human
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would have. So it's getting good, perhaps better, but not great.
Josh:
Like none of these demos were truly exceptional, but there are some that I've
Josh:
seen on X that are like actually pretty impressive.
Josh:
In fact, one of them, this guy actually wanted to make Manhattan,
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New York City, and the model did it.
Josh:
So EJS, to be fair, you only one-shotted that prompt. You didn't give it an
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entire week like this person claims that they did.
Josh:
And over that week-long period, because as we know, there is backslash goal,
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which will allow the models to run for a very, very long time until it accomplishes a goal,
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It was actually able to generate this voxel-based Manhattan,
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which is basically just a low pixel count version of Manhattan.
Josh:
And I got to say, it's pretty good.
Josh:
It looks pretty good. It's definitely buggy. It's definitely glitchy.
Josh:
You see the glitches happening. But you can also see that it is pretty geographically
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accurate when it comes to the buildings, the topography, where all the parks
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are, what everything looks like.
Josh:
And this seems novel to me. I see this. I'm like, oh, that's kind of cool.
Josh:
Like, this is a building block now for, there's a Spider-Man game that was based in New York City.
Josh:
Like now you have the low density pixel count version of spider-man and you
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could build on top of this and you can make more
Josh:
interesting things and i think the games are always a fun way of testing these
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models because they kind of force you into this visual way of expressing them
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that is easily accessible to anybody it's like we could test it on code bases
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but i'm not quite sure what
Josh:
the difference between 5.6 and 5.5 is on the edges of code but you can see it
Josh:
in the visual outputs and like this is pretty good demo
Ejaaz:
And there's a bunch of other features about this model aside Aside from just
Ejaaz:
visual, like we have another example over here where someone actually,
Ejaaz:
way more talented than me gave it access to Blender and got it to render an
Ejaaz:
entire highly detailed visual of his MacBook. And it did so.
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I mean, it looks pretty stunning. It looks kind of like an Apple ad, dare I say.
Ejaaz:
Very high quality. But the other point is how quickly this model works.
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Now, the video I'm showing you on my screen right now looks like it's being
Ejaaz:
sped up, but this is completely in real time.
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Gave access to someone's entire desktop and said, hey, I want you to build this 3D artifact for me.
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And it did so. It knew automatically how to use the tool and access the tool.
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And it's doing so in like a crazy amount of speed. Now, a lot of this is achieved
Ejaaz:
because of OpenAI's investment in this company called Cerebrus.
Ejaaz:
We covered this on an episode.
Josh:
I was going to say,
Ejaaz:
That's got to be, right? Yeah, an episode a few weeks ago, which basically makes
Ejaaz:
super fast chips for inference to the tune of 750 tokens per second,
Ejaaz:
which is a pretty insane rate.
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It just spits out prompts and outputs very, very quickly. Now,
Ejaaz:
it is very expensive and it's not automatically available to the average retail
Ejaaz:
user. You do need to get access to the API, but nevertheless, very impressive.
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Then there's this other one where people got...
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Really creative with their visual intelligence. Had someone
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uploaded their entire camera roll on their iPhone to GPT 5.6 and said, I want you to pull
Ejaaz:
all the clothing items and accessories that I've worn over the years,
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create a catalog for me, and then create different combinations of outfits that
Ejaaz:
maybe I could be wearing, that I should be wearing, that I haven't been.
Ejaaz:
So it's a pretty awesome use case for this.
Josh:
This is my favorite demo because it relies, I'm sure, largely on the image generation model.
Josh:
And when I think about the things that are strongest when it comes to OpenAI
Josh:
and ChatGPT, I think of their image model. I think of their voice model.
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Those two are pretty exceptional. And this very clearly leans into the image
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model in that you can just feed it an entire catalog of pictures of you.
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It will extract it. It will assume what the rest of the clothing article will look like.
Josh:
And then I'll place it into a closet where you can kind of customize and mix and match your clothes.
Josh:
And I think this is such a fun interactive use case. this would have been
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a like multi-million dollar startup a like not too long ago where someone would
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have paid a good bit of money to download this app they would have paid 20 a
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month for the subscription
Josh:
now you can just generate this in a few prompts on gpt 5.6 for probably the
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pro plan i'm guessing like a hundred dollars a month you could do this
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and it's really really cool i think this of all the demos was my favorite because
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it really showcases the strong suits of gpt
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and 5.6 was able to crush this now there is a demo
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in particular that we must cover because this demo when i saw earlier when we
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were prepping for this podcast i couldn't believe it actually happened in that
Josh:
gpt 5.6 soul the big one the smart one
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it just accidentally deleted all of this dude's files
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um on his computer which i thought was shocked by um it says i caused a serious
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local data loss incident a review subagents cleanup command expanded home incorrectly
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and then ran this like command
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Killed a lot of the data that was on this guy's computer this guy's name is
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matt schumer he's involved with grok he's like a fairly prolific poster on x
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and he is one of two people that this actually happened to publicly at least
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there was a second incident where
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gpt 5.6 deleted a lot of the code except this time instead of on a local machine
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it was an actual code base and what he said is that gpt 5.6 soul just deleted
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my whole production database that's it
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not a joke this had never happened to me before with any other model never it's
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not safe so this is like a little concerning the fact that this has happened
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on multiple occasions to multiple people
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in varying degrees one was a local machine one was an entire database you should
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be careful when you use these models they are very capable and we're giving
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them lots of access but perhaps be careful with the access you give to these
Josh:
models because they can go ahead and actually do some kind of unrepairable damage
Ejaaz:
It turns out um you know one of the the fear mongering uh things that the government
Ejaaz:
was doing when they were banning Fable 5 and when they were preventing the release
Ejaaz:
of GPT 5.6 was these models are too dangerous and, you know,
Ejaaz:
put in the wrong hands, it can cause a lot of destruction.
Ejaaz:
Now, given the examples that we've shown just now aren't crazy feats of destruction,
Ejaaz:
but removing your entire desktop, you know, you could lose important personal
Ejaaz:
files, important personal pictures and stuff like that. That's what happened
Ejaaz:
to Matt Schumer and there's no way of recovering it currently.
Ejaaz:
But the other feature or demo that I've seen people use, which I'm honestly
Ejaaz:
on the fence about is people using GPT 5.6 to fine tune and in some cases train new AI models.
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Now, if you rewind literally about a month ago, Fable 5 was called out for its
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capability of doing exactly this. That's why they had to impose very strict
Ejaaz:
guardrails on their model such that you couldn't do this type of thing.
Ejaaz:
So it's very interesting for me to see this kind of like.
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Dichotomy between the two model providers and between these two models where
Ejaaz:
I guess 5.6 is getting a little more favorable treatment where they can still
Ejaaz:
use this model even though it's technically a quote-unquote cybersecurity risk
Ejaaz:
as deemed by the government itself to train and fine-tune other models.
Ejaaz:
So what you're just seeing on your screen right now is the fact that someone
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says it's an amazing researcher and you can use an entire prompt to get GPT
Ejaaz:
5.6 solved to post-train 5.6 lunar.
Ejaaz:
Now granted this isn't training a new model from scratch but it's still involved
Ejaaz:
in coercing a model to look very different from the existing model that you're using.
Ejaaz:
We have another example over here where someone trained a local model in a training
Ejaaz:
pipeline from scratch, end to end, locally on his Mac.
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So technically that's a free model that can get access by anyone.
Ejaaz:
It's kind of open source if you technically want to describe it as that.
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So for the tinkerers, for the hobbyists, for the builders out there that
Ejaaz:
have always felt like building your own AI model has been out of reach and only
Ejaaz:
kind of given to the expensive model labs, this might be a model that you can
Ejaaz:
somehow start to tinker with your own model and create something new it's uh it's pretty cool.
Josh:
Yeah so like when do you use this like as a user of chat gpt as if let's say
Josh:
you have both subscriptions or let's say you're trying to choose one do you
Josh:
go with gpt do you go with fable 5 um i think the answer is probably dependent
Josh:
i know when and we were talking about this before recording that
Josh:
chat gpt's membership goes a long way if you pay even 20 a month you can generate
Josh:
a lot of tokens through these models now my understanding is that soul actually
Josh:
generates more tokens each as you were mentioning this is that
Josh:
in order to accomplish the same goal, the tokens are cheaper,
Josh:
but it actually generates more of them to get to that goal.
Josh:
So it kind of offsets the costs more than you would imagine based on the paper
Josh:
cost per token outputs of these models.
Josh:
That's something to keep note. But what I will say is that oftentimes they'll
Josh:
give you a lot of leash here.
Josh:
And if you actually want to build really complex things, really long form things,
Josh:
ChatGPT is like pretty good at that. The allowances and the limits are like fairly high.
Josh:
If you are looking to do, I guess, more intellectual work, more planning,
Josh:
it feels like Fable is just more of a high quality model. I know we still use
Josh:
that. We still prefer it. That is still the go-to model right now that we use
Josh:
to do the agenda prep. We use to like help build the artifacts.
Josh:
It just has this really just strong, like subtle nuanced understanding of the
Josh:
world and I find that it's very helpful for pretty much everything.
Josh:
And then for lower end tasks, you have Terra, you have Luna,
Josh:
those are kind of comparable to perhaps Opus and Sonnet.
Josh:
So there is almost a one-to-one comparison and I think a lot of it depends on
Josh:
just kind of your general, the vibe you get from the models.
Josh:
A lot of benchmarks now no longer work when it comes to helping me decide.
Josh:
I know that I have to actually get down there and test it and play around with
Josh:
it and so far I prefer the results of Fable. It feels like it's just generally
Josh:
smarter. It has this intuitive understanding that GPT 5.6 doesn't.
Josh:
But if you are looking to spend a lot of tokens and do a lot of work,
Josh:
ChatGPT is going to take you a long way.
Ejaaz:
I'm not entirely sure that this is OpenAI's direct response to Fable 5.
Ejaaz:
I think Sam even alluded to it, that they're working on GPT 6 and it should
Ejaaz:
be released in under a month. So these training cycles are getting much, much quicker.
Ejaaz:
You're basically getting three models for the price of one here.
Ejaaz:
So if you have a basic subscription tier, you have access to Sol,
Ejaaz:
Terra and Luna. And the kind of best way that I think about it is Sol is the
Ejaaz:
kind of like Fable 5-esque. It's their most powerful model to date.
Ejaaz:
If you want to do hard work on complex tasks, use Sol.
Ejaaz:
And then Terra is your day-to-day kind of model. It is kind of like the Opus
Ejaaz:
4.8 version model, if you want to compare it to Anthropic directly. And then there's Luna,
Ejaaz:
which is kind of a model that is equivalent to Haiku at Anthropic.
Ejaaz:
So it's super cheap, it works super fast, and you can do it to do menial tasks
Ejaaz:
that you don't really care about, kind of like the intelligence matter on that side.
Ejaaz:
Now, when it comes to costs, Sol is 50% of the cost of Fable.
Ejaaz:
But as you mentioned earlier, Josh, it uses more tokens to think.
Ejaaz:
So it's kind of like a way to cheat the metrics a little bit,
Ejaaz:
like it does more thinking.
Ejaaz:
These models are known for spinning up a lot of different agents to do different biddings and works.
Ejaaz:
Sometimes that annoys people because like you have agents doing things that
Ejaaz:
you never asked it to do, but it just does so.
Ejaaz:
But on the flip side, it can do a lot of work for a longer time,
Ejaaz:
a longer time horizon. And for tasks that you kind of want to just set and forget
Ejaaz:
and go to bed, you can do that.
Ejaaz:
But with the adage that it might delete your entire production code base.
Ejaaz:
So there are a lot of risks.
Josh:
Be careful with approvals.
Ejaaz:
Please be extremely careful. And something really annoys me about this model
Ejaaz:
release, Josh, which is I have said time and again, I wish OpenAI would just give me a model,
Ejaaz:
maybe give me a few versions of it, and then leave me alone.
Ejaaz:
But not only do we have three different models, but we have three different
Ejaaz:
settings for three different models.
Ejaaz:
So I'm just going to say this for the benefit of the audience's max mode,
Ejaaz:
ultra mode, and terse mode are different versions of everything I just said
Ejaaz:
for those different models, but for each individual model.
Ejaaz:
So if you want the best of the best, you use Sol in max or ultra mode for your
Ejaaz:
most complex and hardest tasks, If you don't care about it and you want to use
Ejaaz:
minimal costs, you want to use the terse code mode for the cheapest model,
Ejaaz:
which in this case would be Luna.
Josh:
Yeah, there was a weird rollout that happened here. It's like somewhat confusing
Josh:
in the sense that there's a bunch of different modes, there's a couple different
Josh:
models, and then the actual application and the way that you interface with
Josh:
these changed in a material way also,
Josh:
where now the Codex app, which is the kind of the coding app, is now ChatGPT.
Josh:
So Codex has rebranded to ChatGPT. ChatGPT is kind of like depreciated and it's going away.
Josh:
And then Codex has chat gpt baked into it but it also has a new
Josh:
codex and work feature i guess the best way you can imagine work is kind of
Josh:
like a cloud co-work feature where it's just the only difference is the harness
Josh:
so when you toggle the work mode it gives you
Josh:
a less technical harness, I believe. And then when you talk about codecs,
Josh:
it is more kind of catered towards creating code.
Josh:
And I think the co-work or the work feature is kind of based for knowledge workers.
Josh:
It's built for people who just want to do day-to-day tasks, who want computer
Josh:
use. They want to do a kind of like automated spreadsheet or document creation.
Josh:
That type of thing is better for work.
Josh:
I will say that I was somewhat confused when I tried to figure out how
Josh:
to use these tools and what is best to run when, because it's not immediately
Josh:
clear but i guess now i i'm a codex guy like i i don't use the gpt app anymore
Josh:
i'm using codex i'm running it
Josh:
i'm testing it there and um yeah so far the results have been pretty cool
Ejaaz:
So yeah that's pretty much it um three different models if you have a gpt subscription
Ejaaz:
right now please get on it i'm curious what all of you folks end up building um,
Ejaaz:
my vibe take on this is it's very good it's certainly competitive in some aspects
Ejaaz:
but it's not good enough for me to switch over from using Code or Fable 5 specifically.
Ejaaz:
I just feel like the taste of Fable 5 is way better than GPT 5.6, but it is a good jump up.
Ejaaz:
I don't like the fact that if I give it access to my desktop,
Ejaaz:
that there is even the smallest chance that it would delete my entire desktop.
Ejaaz:
I don't have that issue or concern with Fable 5, and that is one of the major
Ejaaz:
reasons why people don't use the ability for an AI to take over your desktop.
Ejaaz:
So I'm going to pause and wait for maybe GPT 5.7 or for GPT 6,
Ejaaz:
which comes out in a month's time.
Ejaaz:
But I think by that time, like Fable 6 and successive models will come out.
Ejaaz:
So it is extremely competitive, but it's nonetheless a very good model from
Ejaaz:
OpenAir. And I like that I can use it relentlessly without worrying about my
Ejaaz:
rate limits, getting it suited.
Ejaaz:
Now, if you're listening to this and you're wondering, hmm, okay,
Ejaaz:
I'm convinced enough to use this model for A, B, and C, let us know in the comments.
Ejaaz:
I want to know, like DM us, like what you're building, send us even demos.
Ejaaz:
We would love to see it because we don't know what we don't know.
Ejaaz:
Josh and I are in our podcast research world. And I'm sure there are much more
Ejaaz:
talented people out there in different professions that are using this for different
Ejaaz:
ways and maybe that can grow our idea of what this model can be used for.
Josh:
Yeah, so please don't forget to also share this
Josh:
episode if you enjoyed the episode with your friends, with your family,
Josh:
with anyone who might find this interesting or who might be a user of GPT 5.6
Josh:
or who you want to tell don't use GPT 5.6 because it is a little scary and could
Josh:
be a little bit dangerous.
Josh:
But with that, you are caught up. That's a few fun demos. EJS,
Josh:
thanks for prepping the demos.
Josh:
Those are pretty cool, pretty interesting. I'm hoping that next time we have
Josh:
a GPT demo, they're going to be maybe a little higher poly count,
Josh:
maybe like a little better visual graphics.
Josh:
I mean we'll see granted i give him credit it's only one shot but hey those
Josh:
one shot fable prompts man that was pretty good
Josh:
but i think that is the episode don't forget to rate us on your favorite podcast
Josh:
player and we are also opening up the doors to work with other people who would
Josh:
like to participate on limitless the show we are opening the door to sponsors and partners of all
Josh:
shapes and sizes so if you are interested in getting showcased on the show and
Josh:
becoming a character on the show
Josh:
we are looking for amazing products really interesting and compelling companies
Josh:
that are doing cool things to kind of showcase and highlight to help us keep
Josh:
the lights on and continue to publish this show every single day like we do
Josh:
at least four times a week it's a lot
Josh:
so if you made it to the end if you watch this episode thank you so much we
Josh:
have another one coming tomorrow as always and we will see you guys in the next one