Quick exploratory question (no job offer)

[argeliomarulanda-oss]

Hi,

I’ve been going through some of your repositories and noticed a consistent exploratory, non-product-driven approach. That stood out to me.

I’m running a small, high-uncertainty exploratory project where we test concrete hypotheses about structure emerging in systems usually treated as random. This is not a job offer and there’s no salary involved.

What I sometimes do is invite people to a short, well-defined micro-mission (around 24–48h) to check cognitive fit on a specific hypothesis.

If this sounds interesting, let me know.
If not, no problem at all.

Best,
Argelio

[ghjansen]

Hi @argeliomarulanda-oss ,
Thank you for your contact.

Given the brief description of your inquiry, I am unable to properly evaluate the subject yet.
Please, would you mind to elaborate with more specific details of what is your goal ultimately?
If you don't mind, I would be glad if you could briefly say a few words about yourself and maybe the project you are currently working on. :)

Thanks!
Gui.

[argeliomarulanda-oss]

Hi @argeliomarulanda-oss , Thank you for your contact.

Given the brief description of your inquiry, I am unable to properly evaluate the subject yet. Please, would you mind to elaborate with more specific details of what is your goal ultimately? If you don't mind, I would be glad if you could briefly say a few words about yourself and maybe the project you are currently working on. :)

Thanks! Gui.

Hi Gui,

Thanks for replying — I’ll try to be concrete.

Very briefly, I’m working on an exploratory project where I’m testing whether systems usually treated as “random” (lottery data, social draws, noisy processes) show stable structure when they are observed as multi-layer physical systems rather than as pure statistics.

Instead of starting from prediction or machine learning, the work focuses on:

• embedding time series as physical processes
• constructing large contextual state spaces (astronomical, environmental, social, temporal)
• testing whether persistent geometric or dynamical patterns appear across long horizons

The working hypothesis is simple but risky: that part of what we label as randomness is actually unresolved structure.

About me: my background is technical and analytical. For the last years I’ve been building my own research stack (data pipelines, simulation modules, dynamical analysis, feature generators) around this question. It’s not an academic project and not a product — more like a long-term experimental lab.

I don’t recruit people into a “project” directly. What I usually do is propose a very small, well-defined micro-mission (24–48h) around a concrete hypothesis, to see if there is cognitive fit before anything else.

If that general direction resonates, I can propose a first micro-mission and you can decide if it’s interesting or not.
If it doesn’t, no worries at all.

Best,
Argelio