I'm pretty tired of the "Y made this game in Z tokens" all over the internet last week. They look impressive, and it's cool that it's even possible, but they're useless as games. None of them are any fun. They're like the most boring variant of basic controllers you can imagine. None have any cool mechanics. None have any tweaks made from hours and hours of testing. All have the same cel-shader.
I worked with an LLM to build a ~3D animation of the Back to the Future delorean Time Machine as a way to spice up the hero on a docs page.
That took a fair amount of custom tuning and I had to create a tuning view to get some of the behaviors right.
But it was enough fun that I generalized it to take in ~any scene description from a film. It goes out and gets more detailed descriptions and film stills if available but also takes custom stills if you provide them.
My test scene was the Gauntlet scene from Apocalypto. It is low fidelity but does a pretty amazing sequence with somewhat believable physics of the javelins etc.
Here is the docs page with the vertical takeoff / 88 miles an hour time travel: https://contextify.sh/docs
I can share some of the Apocalypto bit if anyone is interested.
Regarding the argument about LLMs having difficulties auditing their work:
I wonder whether we are entering the era of throwaway software. Just like cheap plastics and improved processes has enabled us to rapidly manufacture anything we want for a very low price, maybe LLMs give us the same for software. Produce it cheaply and if it breaks throws it away and reproduce it.
IMO, the area where AI is going to be most useful over the next couple years is in developing manufacturing processes top to bottom. Maybe a million token budget is too small, but something like "design me a sneaker and all the equipment to manufacture it autonomously".
Yes but the second order effect of this is that the cost of the tooling goes up since it is now the bottleneck, and therefore the shoemakers that survive do it off of technical complexity, branding, and regulatory capture.
you don't really need screenshots if you have an engine expressive enough for the scene generation while ensuring the visual appearance of the engine output itself is feasible.
that's why these things are actually pretty good at openscad/freecad/F360 mcps , the visual reality is enforced and guaranteed by rigor in the interpretation engine that is anchored to human physical reality.
But this demonstrates we're a couple orders of magnitude away from generating 1:1 hyper-personalized entertainment and media for individuals, rather than the masses.
I very much doubt that. We now have nearly-perfect AI image generation and it hasn't really changed the nature of human expression. I don't see my friends getting wildly creative. I mostly see it used for spammy blogs, spammy books, and cringeworthy corporate marketing - basically, a negative signal, rather than "ooh, AI image, I'm in for a treat". Is your experience different? If not, what changes with moving images?
Ultimately, most people don't have ideas for the kinds of personalized entertainment they want, and they don't want to be in charge of content production (even if you have an LLM do most of the work). I don't doubt that there are niches for it, especially stuff like porn, and I'm sure that pros (game studios, film studios) will leverage AI more and more, but I suspect that most of us will just want to sit on the couch, watch Spiderman XVIII, and then be able to talk about that shared Spiderman XVIII experience with all our friends.
I'm mostly seeing the impact of GenAI images in everydays life for example in the small posters small associations or individuals usually attach on streets to promote some small local event. We went from just text created with PowerPoint and maybe some stock image just a Google search away to now images depicting the topic closely. But yeah, it's not like a revolution.
And this personal media thing, yeah maybe for terminally online persons that are REALLY into a sub-genre but otherwise, it's too much effort, I agree. Until we get machines that can read our (subconscious) mind, that will not exist.
Amazon recently kiboshed a new Stargate television series. The fan community was quite heartbroken because the Amazon had involved some of the writers from the original television series and apparently one of the reasons that they cancelled the show before it made it to production was that the felt that the proposed story would appeal too much to the fans and not new people.
The fans were real heart broken about this but I think you're right on where this is going. We're not going to be seeing the dominance of centrally produced content like this for much longer, like sure, I think there will be big blockbusters will stick around, but I think the day is coming where media becomes a choose your own adventure sort of scenario.
It'll be interesting to see where this scales to. there will definitely be some amazing solo projects but we'll also see the like 4 player co-op version of productions and then the larger mine-craft server 'Minas Tirith' scale ambitious projects that involve a few dozen people. And of course passive consumers will remain a thing, or people who just provide some suggestions or nudges for what they'd like to see others make.
But I don't think it'll be dominated by big companies like Disney, Netflix, Amazon or Paramount.
I'm sure a lot of them will suck but it'll be neat to see the inevitable Seinfield - Star Trek Voyager cross over episodes.
Elaine and B'Elanna Torres feud after a transporter accident leaves the crew stranded the delta quadrant. Jerry attempts to date 7of9 and but is rebuff as she finds Kramer's quirky bluntness relatable. George panics after someone compares him to Neelix.
As a former gamedev watching non-gamedev AI talk about games is so amusing. They really truly do not understand anything about games or consumer entertainment.
There’s a reason AI slop games have literally zero engagement. Last summer that stupid flying game blew up. Maybe a million people “played” the game. Where play means they clicked a link and checked it out not because of what the game was but solely because of how it was made.
In terms of concurrent players that game wouldn’t have cracked the Top 5,000 on Steam.
My metric for AI games is “number of players who spent more than 15 minutes playing”. I’m not aware of any vibeslop that has achieved 1 such player.
Now obviously LLMs are transformative for game dev. But “hyper custom worlds you can drop into” shows an extreme ignorance of what players want imho.
How many cubic meters of arctic ice was melted to produce pelican SVGs that nobody wanted?
Every time you fly across the atlantic, you are responsible for something like 1 or 2 cubic meters of melted ice. At least that is spent in service of human connection.
So the LLMs do know the first paragraph for any novel! Probably verbatim, as we saw in the 2023 models. That verbatim giveaway has been beaten out of them to keep up appearances.
I'm sad that Andrej Karpathy went from being one of the most reasonable, trusted, and credible voices in AI to peddling marketing slop for Anthropic.
8 months ago, he was (very reasonably) claiming that reliable agents are at least a decade away, but this now goes against the interest of his employer, so the narrative has been changed.
> 8 months ago, he was (very reasonably) claiming that reliable agents are at least a decade away, but this now goes against the interest of his employer, so the narrative has been changed.
Or maybe over these 8 months agents improved a lot? You know, few years ago many AI experts predicted that things we are routinely doing now with AI are decades away. I mean how can you look at this post and not be impressed? It's insane what AI is currently capable of.
you're doing the exact same thing by making the inverse claim without any information, at least the original comment claims some change for someone to investigate... all you're doing is disagreeing as an opportunity to be snarky
I'd like to see tests of things the current AIs are bad at, like drive a car. Or maybe take instruction to complete some novel activity to test how well they can learn.
That took a fair amount of custom tuning and I had to create a tuning view to get some of the behaviors right.
But it was enough fun that I generalized it to take in ~any scene description from a film. It goes out and gets more detailed descriptions and film stills if available but also takes custom stills if you provide them.
My test scene was the Gauntlet scene from Apocalypto. It is low fidelity but does a pretty amazing sequence with somewhat believable physics of the javelins etc.
Here is the docs page with the vertical takeoff / 88 miles an hour time travel: https://contextify.sh/docs
I can share some of the Apocalypto bit if anyone is interested.
"Getting Started with Google Wave": https://www.youtube.com/watch?v=eKUAqNGVwX0
Years later Apache moved it to read only because of low community activity.
The archived git repo on GitHub remains available to clone and revive as a fork.
https://github.com/apache/incubator-retired-wave
wave failed for weird google organizational reasons far more than anything inherent to the product or tech
I wonder whether we are entering the era of throwaway software. Just like cheap plastics and improved processes has enabled us to rapidly manufacture anything we want for a very low price, maybe LLMs give us the same for software. Produce it cheaply and if it breaks throws it away and reproduce it.
"Draw an animation of this long ass scene from a movie, and only call me when everything works e2e" can be.
that's why these things are actually pretty good at openscad/freecad/F360 mcps , the visual reality is enforced and guaranteed by rigor in the interpretation engine that is anchored to human physical reality.
But this demonstrates we're a couple orders of magnitude away from generating 1:1 hyper-personalized entertainment and media for individuals, rather than the masses.
Ultimately, most people don't have ideas for the kinds of personalized entertainment they want, and they don't want to be in charge of content production (even if you have an LLM do most of the work). I don't doubt that there are niches for it, especially stuff like porn, and I'm sure that pros (game studios, film studios) will leverage AI more and more, but I suspect that most of us will just want to sit on the couch, watch Spiderman XVIII, and then be able to talk about that shared Spiderman XVIII experience with all our friends.
And this personal media thing, yeah maybe for terminally online persons that are REALLY into a sub-genre but otherwise, it's too much effort, I agree. Until we get machines that can read our (subconscious) mind, that will not exist.
The fans were real heart broken about this but I think you're right on where this is going. We're not going to be seeing the dominance of centrally produced content like this for much longer, like sure, I think there will be big blockbusters will stick around, but I think the day is coming where media becomes a choose your own adventure sort of scenario.
It'll be interesting to see where this scales to. there will definitely be some amazing solo projects but we'll also see the like 4 player co-op version of productions and then the larger mine-craft server 'Minas Tirith' scale ambitious projects that involve a few dozen people. And of course passive consumers will remain a thing, or people who just provide some suggestions or nudges for what they'd like to see others make.
But I don't think it'll be dominated by big companies like Disney, Netflix, Amazon or Paramount.
I'm sure a lot of them will suck but it'll be neat to see the inevitable Seinfield - Star Trek Voyager cross over episodes.
Elaine and B'Elanna Torres feud after a transporter accident leaves the crew stranded the delta quadrant. Jerry attempts to date 7of9 and but is rebuff as she finds Kramer's quirky bluntness relatable. George panics after someone compares him to Neelix.
There’s a reason AI slop games have literally zero engagement. Last summer that stupid flying game blew up. Maybe a million people “played” the game. Where play means they clicked a link and checked it out not because of what the game was but solely because of how it was made.
In terms of concurrent players that game wouldn’t have cracked the Top 5,000 on Steam.
My metric for AI games is “number of players who spent more than 15 minutes playing”. I’m not aware of any vibeslop that has achieved 1 such player.
Now obviously LLMs are transformative for game dev. But “hyper custom worlds you can drop into” shows an extreme ignorance of what players want imho.
Every time you fly across the atlantic, you are responsible for something like 1 or 2 cubic meters of melted ice. At least that is spent in service of human connection.
Thanks for confirming:
https://web.archive.org/web/20260802165914/https://xcancel.c...
You can downvote like in all other ClosedAI threads, but justice will come for the thieves eventually.
No bias. No speculation. Just facts!
8 months ago, he was (very reasonably) claiming that reliable agents are at least a decade away, but this now goes against the interest of his employer, so the narrative has been changed.
Or maybe over these 8 months agents improved a lot? You know, few years ago many AI experts predicted that things we are routinely doing now with AI are decades away. I mean how can you look at this post and not be impressed? It's insane what AI is currently capable of.