Andrew Fribush

fig. 2.14.2: the printed L of equation (174) sent once round (167) and (173), beside the corrected L

fig. 2.14.2 · the printed L of equation (174) sent once round (167) and (173), beside the corrected L.
PRINTED L 0.0486 COMES BACK 0.0535; 0.0532 RETURNSRIGHT IS THE L PUT INTO (167) THEN (173), UP IS THE L BACK; ON THE DIAGONAL ANL RETURNS ITSELF. ACCENT IS THE DRAFT’S.0.0400.0400.0450.0450.0500.0500.0550.0550.0600.060L PUT INL OUT(167) S = theta_sigma (B + omega_sigma L)(173) L = theta_ell (A + omega_ell S)COMES BACKAS ITSELFONE ROUND TRIPMISSES ITSELF BY 0.0049CORRECTED 0.0532RETURNS ITSELFPRINTED (174)0.0486 IN, 0.0535 OUT

Printed (174), also (65), divides by 1 − omega_ell omega_sigma theta_sigma = 1.1680; the line above it keeps theta_ell outside the bracket, so the denominator is 1 − theta_ell omega_ell omega_sigma theta_sigma = 1.0672. Parameters theta_ell .4, omega_ell .3, theta_sigma .7, omega_sigma −.8, A .1, B .2, as in checks.py.

source: Existential Risk and Growth derivation audit, checks.py line 30 and results.json (eq174); audit.md lines 37-51 · factorRoundTrip.data.ts

View in context: Three algebra errors in "Existential Risk and Growth" → · All figures

Andrew Fribush, software and computer engineer in Austin. I build consequential systems where software meets institutions: finance, healthcare, commerce, government data, and the mechanisms that govern AI agents. Taking new engagements: hello@andrewfribush.com.