ml research, equilibre technologies slightly filtered stream of consciousness
Prague, Czech Republic
Joined January 2022
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ryan retweeted
I have some numbers for up to n=70 which I'll list here - didn't post them because I wasn't sure if anyone was even keeping track. Will update my repo later tonight!
65: 4.7071173296
66: 4.7071171288
67: 4.7071215013
68: 4.7071153112
69: 4.7071152968
70: 4.7072715607
LOL they are not even monotonic. That's how unfinished this is.
ryan retweeted
Just telling people they slept poorly led to impaired cognitive function. Telling them they slept fine preserved it.
ryan retweeted
We are looking for more amazing researchers and engineers to join our team. EquiLibre Technologies is a frontier AI trading research lab. We train our own foundational models, use our own RL algorithms, and trade our own money.
The proof is in the pudding. [THREAD]
equilibre.ai
techcrunch.com/2026/06/30/th…
ryan retweeted
String theory is probably a field that has set back quant trading by at least 10 years. Stealing top tier trading talent to do make believe 26 dimensional geometry, inflate boomer professors’s grant budget, and produce zero testable hypotheses or applications after 50 years
ryan retweeted
ChatGPT Images 2.0 (Pro) generates a photo of a cake decorated with SVG that when transcribed to a file renders another cake
![ChatGPT dialog screenshot
User:
Photo of a supermarket sheet cake, upon which is written SVG code for a picture of a different cake.
ChatGPT:
[Generated image of a cake hand-lettered with SVG code in black frosting]](https://pbs.twimg.com/media/HGknzQkXEAAhlqO.jpg?name=orig)
ALT ChatGPT dialog screenshot User: Photo of a supermarket sheet cake, upon which is written SVG code for a picture of a different cake. ChatGPT: [Generated image of a cake hand-lettered with SVG code in black frosting]
ALT The image produced by rendering the SVG code from the previous image of a realistic cake generated by ChatGPT
ryan retweeted
(ARC Prize): ARC-AGI-7 is here! This tests how well AI can navigate a 147-dimensional hypercube described in a nonexistent language. Every AI mistake results in one of its GPUs being smashed. Humans score 120% by default.
(Researchers): our model just got 83% on ARC-AGI-7
Unbelievable result from the @symbolica research team! In just 1 day since the launch of ARC-AGI-3 we have been able to raise the score from 0% to 36%, and within a very close margin to human baseline as well. See our blog post linked in this thread for a detailed score breakdown and replays.
