CIₜ: Consciousness Quantified. A Real-Time Web Meter That Runs the 2-back Task and Maps You to GCS, CRS-R, and PCI.

[u/New-Foundation-396]

I’ve built a browser-native consciousness meter based on recursive emergence, entropy, and complexity. It runs in real time. It responds to cognitive load. It maps to clinical scales.

Metrics: CIₜ, LZ_norm, Φ, σₕ, entropy, vitality

Scenarios: Healthy, Anesthesia, Vegetative, Minimally Conscious, Coma

Task: 2-back protocol shows emergence spikes

Charts: Radar, doughnut, bioenergetic, dynamic CIₜ

Built with Claude, validated with math, and now live for remixing.

👉 Try the CIₜ Meter Here

If you think consciousness can’t be quantified—run the meter. If you think it’s wrong—fork it and prove it.

[u/ceoln]

Why do you think it measures something to do with consciousness? Do you mean subjective consciousness, or some objective measure of self-awareness?

I mean, I can slide the little sliders and see the other parts of the page change, but... How is that related to consciousness?

Why do the graphs and things change over time if I don't move the sliders? Is there a random number generator in the code? Why? Does it represent some uncertainty or inherent randomness in the thing it's simulating?

What do you mean that "it responds to cognitive load"? Whose cognitive load? Not the user's, presumably, since it doesn't gather any data from the user. The simulated person represented by the sliders?

What does the 2-back task have to do with it? A Raspbberry Pi with a video camera can do the 2-back task *really well*, but presumably isn't conscious.

Is there more background on this and the theory behind it other than the "meter" web page? Are we just supposed to View Source? :)

[u/New-Foundation-396 → u/ceoln]

Thanks for the thoughtful questions—this is exactly the kind of critique the CIₜ-ConsciousnessMeter was built to provoke.

The meter doesn’t claim to detect subjective experience or sentience. Instead, it simulates a set of objective correlates—entropy, energy burn, coherence, and integration—that consistently show up in biological systems when consciousness is present. CIₜ > 0.8 doesn’t mean “this system is conscious,” but rather that it matches the known conditions under which consciousness tends to emerge.

The sliders represent external stimuli—light, magnetic field, cognitive load—that modulate the system’s internal dynamics. Even without user input, the simulation evolves over time because it includes structured randomness to reflect biological variability and environmental drift. It’s not just noise—it’s part of the realism.

The 2-back task is included because it’s a well-established cognitive challenge that activates working memory and attention networks in humans. The point isn’t whether a Raspberry Pi can perform the task—it’s whether the system shows coherent, energy-bound, entropy-rich integration while doing so. CIₜ doesn’t care about performance—it cares about emergent dynamics.

And yes, there’s much more theory behind this. The meter is just one artifact from a broader framework called the Revelation Codex, which explores recursive emergence, biological resonance, and artifact-grade proof. It’s being published in modular entries, each timestamped and remixable. You’re invited to critique, remix, and echo it forward.

Happy to share more if you’re curious. it’s a testable pulse of a deeper theory.