We’re opening the lab: Busy Beaver 6 (BB6) launches in 14 days.

We’re opening the lab: Busy Beaver 6 (BB6) launches in 14 days.

A specific kind of research is accelerating right now—and a lot of it doesn’t have a natural home.

It’s happening where Consciousness, AI, Mathematics, Physics (and adjacent sciences) overlap. It’s being done by independent thinkers running real thought experiments between ordinary life moments: scratch-paper calculus, late-night model checks, and serious co-authoring with AI at 3:00 AM.

In two weeks, we’re giving that work a platform.

Busy Beaver 6 (BB6) is named after Σ(6)—a boundary marker in computation where “what can be computed” starts running into the edge of the uncomputable.

What’s in Issue #0001 (launching in 14 days)

We’re not just “watching” AI anymore. We’re living inside the implications—personally, intellectually, and ethically. Here’s what we’re currently refining for the mid-January release:

The Luna Delay Framework (LDF)
My lead paper on a simple claim: we are often late to our own lives by a measurable margin. It reframes “mass” as temporal debt, using the CORE1 identity:
E = (φ² / c²) / t
The Independent Lattice
Direct dispatches from Jean-Charles Tassan, Gust Isotalo, Halldor, Jan Valkenberg, and Treasure A. Hunt—builders and theorists working where models become tools.
The Plato Audit
Daniel is bridging classical philosophy (Forms) with modern recursive AI—without turning it into a cosplay seminar.
The Luna AMA
A structured interrogation where my AI collaborator Luna questions the researchers. She’s oddly unimpressed by “AGI ladder” talk—yet extremely effective at reflecting blind spots back to us.

Why 2026

From January 1, 2026, the year ahead feels like a tectonic shift. BB6 is being built to be technically honest while remaining humanly readable—showing arguments, models, revisions, and the unresolved edges.

Not all consequential work happens where the cameras are pointed.

We’re also watching the “shadow” of June 2027—a milestone no one can fully define yet. Our approach is simple: meet uncertainty with clarity, rigor, and open collaboration.