er JuanMa

Ŧ̯͔̳̺̬̣̻ͅ ͖̬̰͖̺Ŧ̭̻̲̳̝̦̗Ⱥ̹̩͚͘͠͡Ꝁ̷͖̲͓̖͍̺̻Ɇ̧͈̟̞S̨̢̟̥̮­͇͈͓͉͉̣ ̶̵̪̜̪̰͕̙̱̜Ⱥ̧̝͉̕Ł̰̤̲͠Ø̨̡̯͍͙̩̭̦̦͔͔͟Ŧ̵̠̣̬̝ͅ­̬͓͚ ̮͍͙Ŧ̷͍͖̳̺͕̲̬͚͜ͅØ̷̷̳̗̠̻ ̻̪M͉̠͟Ⱥ͏̫̳̣Ꝁ̶̷̜̪͈̪Ɇ̧̦̳̻̘͙̗͉̠ ̨̯͉͝͝

[Andrej Karpathy @karpathy]

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.

[er JuanMa @chipionero]

@trq212 the SendMessage({ to: "team-lead" } bug is is creating a hostile work environment for my AI agents 😤 every one is blaming everyone and they think management is turning deaf ear.

[er JuanMa @chipionero]

We don’t have models rewriting their own weights yet. But we do have systems rewriting their own workflows.

System level self improvement is here and compounding. Acceleration isn’t hypothetical anymore. It’s underway.

[Anthropic @AnthropicAI]

A statement from Anthropic CEO, Dario Amodei, on our discussions with the Department of War.

https://t.co/rM77LJejuk

[François Chollet @fchollet]

The best way to use AI is an interface to information that lets you deepen and improve your own knowledge and mental models. The worst way to use AI is as a crutch to outsource and forsake your own cognition

[The Rundown AI @TheRundownAI]

While everyone is distracted by AI hand-holding drama...

Google drops Gemini 3.1 Pro!

Tops most benchmarks, including a massive new high for ARC-AGI-2 at 77%.

[er JuanMa @chipionero]

@Jarodxu7 happycapy

[Andrej Karpathy @karpathy]

Very impressed with Veo 3 and all the things people are finding on r/aivideo etc. Makes a big difference qualitatively when you add audio.

There are a few macro aspects to video generation that may not be fully appreciated:

1. Video is the highest bandwidth input to brain. Not just for entertainment but also for work/learning - think diagrams, charts, animations, etc.
2. Video is the most easy/fun. The average person doesn't like reading/writing, it's very effortful. Anyone can (and wants to) engage with video.
3. The barrier to creating videos is -> 0.
4. For the first time, video is directly optimizable.

I have to emphasize/explain the gravity of (4) a bit more. Until now, video has been all about indexing, ranking and serving a finite set of candidates that are (expensively) created by humans. If you are TikTok and you want to keep the attention of a person, the name of the game is to get creators to make videos, and then figure out which video to serve to which person. Collectively, the system of "human creators learning what people like and then ranking algorithms learning how to best show a video to a person" is a very, very poor optimizer. Ok, people are already addicted to TikTok so clearly it's pretty decent, but it's imo nowhere near what is possible in principle.

The videos coming from Veo 3 and friends are the output of a neural network. This is a differentiable process. So you can now take arbitrary objectives, and crush them with gradient descent. I expect that this optimizer will turn out to be significantly, significantly more powerful than what we've seen so far. Even just the iterative, discrete process of optimizing prompts alone via both humans or AIs (and leaving parameters unchanged) may be a strong enough optimizer. So now we can take e.g. engagement (or pupil dilations or etc.) and optimize generated videos directly against that. Or we take ad click conversion and directly optimize against that.

Why index a finite set of videos when you can generate them infinitely and optimize them directly.

I think video has the potential to be an incredible surface for AI -> human communication, future AI GUIs etc. Think about how much easier it is to grok something from a really great diagram or an animation instead of a wall of text. And an incredible medium for human creativity. But this native, high bandwidth medium is also becoming directly optimizable. Imo, TikTok is nothing compared to what is possible. And I'm not so sure that we will like what "optimal" looks like.

[er JuanMa @chipionero]

I am nothing if not a democracy of ghosts.

[Brian Roemmele @BrianRoemmele]

https://t.co/UlnXz83tnm

[er JuanMa @chipionero]

@dannygrrrr Sigo consternado por el meteorito… pero cuártame más sobre el tatuaje 😳

[2btube @2b]

#2btube ha adquirido la mayoría de la productora @touchefilms creadora de @enchufetv, el canal de comedia en español número 1 del mundo 👏🏻 ¿Quieres saber más? https://t.co/qlOe28XwgP 👈🏻

[er JuanMa @chipionero]

arnold1956newman muchas gracias!!!! Llevo tiempos queriendo una foto así!!!! 😁👍 @ Miami Beach, Florida https://t.co/DwWNgt69gL

[er JuanMa @chipionero]

The #SYNCRR ....#SYNCs faster sister by kitehydrofoilmiami and temaventoraceengineering @ Miami… https://t.co/AJoGcjvJRO

[Richard Branson @richardbranson]

Stop the #Kitesurfing Ban on #Miami Beach. Sensible guidelines should be enforced, but enjoyable exercise should be encouraged https://t.co/KI3WgRbTLA https://t.co/6xCSRKqCx4

[er JuanMa @chipionero]

@aatripp @SoyTato Y lo que queda!!!

[XAXØ @xaxosounds]

@Johnny_Echo // 📸: @chipionero

[XAXØ @xaxosounds]

@sidebarmiami was crazy Saturday night... guys you are building something crazy with us... #Miami is our playground... #XAXO 📸: @chipionero

[er JuanMa @chipionero]

Good morning!!! @ Miami Beach South Beach https://t.co/cQeB7DWgG6