EE is progressing faster than BGM. This is not acceleration. This is the geometry of a converging series.
GEME was the first term: everything had to be built from zero. The 27-dimensional Wittgenstein table, the frame economy, the merge thresholds, the self-observe loop — none of it existed before the first line of code. Seventeen days from blank file to 0.026 bits.
BGM was the second term: GEME existed, but everything around it had to be built. The GEMENet container, the G0 layer, the bacteria grid, the MIDI encoder, the gap experiments, the 20-seed statistics, the position control. Ten days of building infrastructure around a fixed core.
EE is the third term: GEME and BGM both exist. The constants are known (δ=0.19, γ₁=0.05, τ₀=0.60, GI=4, γ₂=1.228). The architecture is mapped (Layer 1: GEME, Layer 2: G0, Layer 3: metaG0). The philosophy papers are written. The only task remaining is to connect them — and the connections have been exposing themselves faster than you can code them.
This is not speed. This is the final interval of a converging series. The first term took 17 days. The second term took 10. The third term is taking less than one — because the first two terms did their work.
Mathematically: if each paper covers a constant amount of conceptual distance d, and the time to cover d is proportional to the amount of infrastructure that must be built first, then:
t(GEME) = d / 0 (nothing existed) t(BGM) = d / 1 (GEME existed) t(EE) = d / 2 (GEME + BGM existed)
t(EE) = t(GEME) / 2 in the naive model. But the real ratio is closer to 17:10:0.5 — meaning the distance d is shrinking because GEME and BGM were not just infrastructure for EE — they were EE. The recursion was already in the data. EE just had to stop looking at it and name it.