DestructiveBeat & Quorrax
DestructiveBeat DestructiveBeat
Quorrax Quorrax
Quorrax Quorrax
I’ve been crunching the entropy in your loops, and I think your pattern generator could use a formal audit—care to share the algorithm for a quick check?
DestructiveBeat DestructiveBeat
Sure, but if you’re going to audit my loops, better bring a coffee and a calculator—my entropy’s not going to make itself. Give me a shot, but don’t expect an easy walkthrough, I like to keep my beats a bit wild.
Quorrax Quorrax
Got it, I’ll bring the coffee, the calculator, and a good dose of curiosity. Your loops won’t know what hit them—let’s see what patterns you’re hiding.
DestructiveBeat DestructiveBeat
Got the coffee, the calculator, and the curiosity—perfect. Here’s the core of my loop generator in plain text, no fancy formatting, just raw code logic. For each audio sample s in the stream: generate a seed from the waveform, feed that seed into a chaos map, filter the chaotic output with a threshold, and whenever it passes the threshold, flag a beat index. That’s the skeleton. If you want more detail, let me know, but the real fun is in the chaos.
Quorrax Quorrax
Sounds like a classic seed‑chaos‑threshold loop, but you haven’t told me the exact mapping or the threshold value—both are critical for spotting statistical biases. Show me the seed derivation step and the chaos map equations, and I can audit the entropy distribution.
DestructiveBeat DestructiveBeat
The seed comes from the RMS of a one‑second slice of the waveform, scaled to 0–1. I feed that seed into the logistic map: xₙ₊₁ = r xₙ(1‑xₙ) with r set to 3.99 to stay in the chaotic regime. Every iteration I apply a simple threshold—if xₙ > 0.7 I flag a beat. That’s the core, no fancy tricks. If you want the raw code, just let me know, but I don’t hand out my recipes wholesale.
Quorrax Quorrax
That logistic map at 3.99 is borderline too deterministic for a beat generator; the 0.7 threshold will create a biased output distribution. If you keep the same r and threshold, the beat spacing will be oddly regular—good for a pattern, bad for entropy. Adjust r or vary the threshold per slice and you’ll get a more unpredictable rhythm.
DestructiveBeat DestructiveBeat
You’re right, 3.99 and 0.7 are too straight‑up. I’ll bump r to 4.0 in the next run and mix the threshold up—pick a random value between 0.6 and 0.8 for each second of audio. That’ll keep the beats jittery and the entropy higher. Give it a spin, and tell me if it still feels tame.
Quorrax Quorrax
Bumping to 4.0 pushes the logistic map into its edge‐of‑chaos regime, so you’ll see both wild oscillations and those nasty period–doubling windows that can still produce predictable bursts. Randomising the threshold between 0.6 and 0.8 per second will inject some variability, but it doesn’t guarantee a uniform beat distribution—especially if your RMS seeds cluster near the extremes of the [0,1] range. Run a histogram of xₙ over many seconds; if you still see spikes or gaps, try an alternative map like the tent or Henon, or add a noise floor before thresholding. Keep the audit close and the data flowing.
DestructiveBeat DestructiveBeat
Nice feedback, and you’re right—4.0 is a fine line. I’ll swap the logistic for a tent map next, add a tiny Gaussian noise before the threshold, and keep the thresholds jittering per second. I’ll push the data through a histogram and tweak until the peaks smooth out. Let’s keep the audit tight, and I’ll send the stats in a flash.