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We're starting to leave the territory where you'd test an LLM by e.g. "create an svg of pelican on a bicycle". As one idea to generalize it, I was interested what Opus 5 would do if I gave it the first paragraph of the Lord of the Rings, a 1M token budget (~$10) and asked for three js render of it. Opus went off for ~2 hours and wrote 5500 lines of code that (procedurally) rendered the story. It's kind of janky but fun. But it's a bit mindboggling that the LLM has to place and orchestrate various polygon assets in (x,y,z) coordinates and write code that animates it all, and that it even does anything at all. I also like this kind of examples because no one in their right mind would ever spend the time to write something this custom but LLMs have all the stamina and patience in the world, so it's an example where we go from "no one would ever do this" to "sure, why not, it's ~free". There might be a lot more. But I'm excited about creating hyper custom worlds that you can imagine dropping players into, e.g. here to participate in the LoTR story as a spectator NPC, or one of the characters, or etc. Something like an ephemeral GTA of X on demand. Last thought is that the domain of worlds/games exposes a weakness in LLMs: they can't easily audit their work because they aren't able to efficiently and natively perceive videos or play games within them. Here, Opus 5 had to very slowly and painstakingly take screenshots at different points, and it messed up a few times and created a bunch of jank. An example of raw capability (multimodal, gameplay) that I think is still quite lacking.
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David Watson 🥑
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Eleven Labs for the audio. LLMs can easily use the APIs (here I did that part manually because I felt picky about the voice).
Isn't the video multi-modal capabilitiy just a matter of speed? LLMs are getting faster and faster, and we could use a lightweight LLM "decoder" to receive a filter prompt (what to look for in a video or to summarize what it sees), and run it at 20 FPS, but at 720p, it would
Thanks for an actually thoughtful take with some real insight and analysis I’ve been losing my mind seeing all of the “I one-shotted Call Of Duty using Opus 5, GAME DEVELOPMENT IS OVER!!” posts over the past week that just add nothing of value to the conversation It’s
Why did a single download task using Anthropic’s official API cost me $8 in less than two or three minutes? The difference is staggering! Or is it that…
Re: the last paragraph, having played around with game dev via coding agents quite a bit - yep, this is one of the biggest current gaps. Coding agents can’t easily perceive video/audio the way humans do, and that forces them to go to heroic lengths to iterate on things humans
Very cool, love it! And the environment is actually quite nice, the characters are still on the janky side though you can tell them apart, which is not a given
you know why noone would bother - zero value - and the llm only does it because you pay for it
In my experience, LLMs still can’t precisely detect every element in a video. Sometimes when I use Codex to automatically create and edit videos, it actually takes longer than if I just edited them myself. I still need to manually review or adjust the drafts, as I often find that
It is a fun experiment, but it reminded me of the array sorting problem. What you are doing feels a bit like sorting an array with brute force instead of using an efficient algorithm because we now have enough compute, so why bother optimizing? It will work anyway. 😅 The
“the domain of worlds/games exposes a weakness in LLMs: they can't easily audit their work because they aren't able to efficiently and natively perceive videos or play games within them” what will need to change for LLM to be better at this?
Just started this to see how far we can build
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Ziwen
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How long does it take a loop of AI agents to build the entire planet? Nobody knows. starting the clock today. Earth online. Low poly, The whole thing, and i'm not writing a line of it. The agents build the world, play it, file their own bugs, fix them, and go again while i
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Curious how Kimi would perform on this, given that it claims to have video-understanding capabilities. Could moving LLMs beyond their current confinement to 1D text and 2D images and videos, and into actual 3D worlds that evolve over time, allow us to build stronger world models
So we plug our favorite SF novel that was never made into a film and -- we have the film version of it ... that is going to take some time to get old. LOL.
I believe video recordings and TAS style controls help bridge the gap, but they do not fix it. In my experience Opus 5 is about 7x slower than a human in gameplay with a proper harness. That’s not bad
Instead of screenshots, what if it audited points in 3D space to determine that there are no bad intersections?
And the bit that gets me is how amazing they are at say code and how utterly terrible they are at producing a process in our business even with huge amounts of context, I havr to hold its hand the entire time. Its reminds me of coding a year ago.....