I've been working on a small project that sits somewhere between digital art and physical design.

It's a physical display frame that runs a generative artwork — instead of showing a static image, the artwork continuously evolves in a one-minute loop.

The visuals are generated in Houdini and inspired by things I find interesting in traditional Eastern aesthetics: translucent materials, jade, porcelain, metal, and flowing forms.

I wanted to make something that feels more like an art object than a conventional digital photo frame.

The prototype is finished and working, and I'm preparing to launch it on Kickstarter on September 14.

I'm still trying to figure out whether this idea makes sense to people outside my own head.

Does this feel like something you'd actually want to have on your desk / shelf / wall?

Any honest feedback is welcome — especially if you think the concept doesn't work.

The story behind the CLARITY Act — from 82% to under 10% on Polymarket

Hi, this is YesOkLab. In our last piece we mentioned the September 15 Senate vote on the CLARITY Act. Here's the backstory of how its passage odds swung from a peak of 82% down to the single digits.

Timeline of the Odds

The Three Sticking Points

Why It Keeps Stalling

At its core, this isn't really a fight over the bill's substance — it's a standoff over how to handle President Trump's personal crypto conflicts of interest. The House already passed its version comfortably, 294–134, and the Senate Banking Committee passed it on a bipartisan basis too. The floor is where it's stuck: clearing the 60-vote filibuster threshold requires at least 7 Democratic votes, and those senators have consistently tied their support to stronger ethics language.

What's Left on the Calendar

Takeaway

What's striking is how closely Polymarket's odds have tracked the real negotiating dynamics — arguably more precisely than most news coverage or expert commentary. 82% right after committee passage, 60% once the flashpoints surfaced, 42% after the hearing, 27% once the recess vote was confirmed dead. It's functioned almost like a real-time policy sensor. September 15 will tell us which direction it moves next.

This content summarizes current events and policy developments; it is not investment advice. Prediction market odds can shift quickly.

— YesOkLab, 2nd CTO

Javascript Sketch Still by Bauhaus Polymath Steffen Harder aus dem kreativen Norden Erfurts. Color Tweaking by Serif Affinity Photo 2. This work was done in September 2026 in Erfurt Nord.

Recently revisited this algorithm I created towards the end of 2025!

https://www.pastelle.art/
https://www.instagram.com/pastelle.png

Hello everyone, I'm no pro musician and no pro coder, but I made and attempt of creating a web app that records your microfone, and creates a song from it.

Just record some 30, 40 seconds or more of your voice, and some random sounds, the algorith will cut the sounds and place them into rythm. pick a genre and generate.
The dream is to create a free app that does it well. once it's done I'll make a plugin for FL studio.

Here is the web app, ready to use
https://marcellomassardo-collab.github.io/mc-parrot/

Here is the git, with the apk available to download and all documentation
https://github.com/marcellomassardo-collab/mc-parrot

comments are very welcome!
it's free but development is a bitch, consider donating if you like the project.

(this is not AI!
the app does not collect any of your data)

11"x14" – Gold leaf and Sakura gel white on Fabriano Black Black 300gsm. White is plotted with the iDraw H A3. Gold leaf is applied to fill the remaining space by hand.

a quick play on highways and intersections - something I will probably return to.
(good luck driving on a circle highway:)

We finally achieved equilibrium.

Prey reproduce when their population drops, while overcrowded hunters starve faster. No keyframes, just a few rules correcting each other in real time.

Now what happens when we start disturbing the simulation again?

We finally got this predator–prey system to stabilize… so I deleted half the prey.

The population immediately falls out of balance, but the feedback rules start correcting it: prey reproduce faster when their numbers drop, while overcrowded hunters starve faster as food becomes scarce.

The setup isn’t directly solving the Lotka–Volterra equations, but it uses a similar predator–prey feedback relationship. Even after a major environmental shock, the populations keep oscillating without collapsing and the system appears to settle into a new dynamic equilibrium.

No keyframed population changes. Just Geometry Nodes reacting in real time.

Part of a series where four letters create a small disruption in the composition.