From 2de4309ea51e2aece346dfb453761ba3dd8f52dd Mon Sep 17 00:00:00 2001 From: Yuren Hao Date: Thu, 16 Jul 2026 01:14:22 -0500 Subject: RESULT 28: Stage-0 gate #1 verdict (naked resident cells need >=10-12b; T64 word-streaming exempt; qcomp = the decisive arm) Co-Authored-By: Claude Fable 5 Claude-Session: https://claude.ai/code/session_014FAPDWQ49M5Ye3NpTndTpn --- docs/campaign/CASCADE_ABLATION_PLAN.md | 19 +++++++++++++++++++ 1 file changed, 19 insertions(+) (limited to 'docs/campaign') diff --git a/docs/campaign/CASCADE_ABLATION_PLAN.md b/docs/campaign/CASCADE_ABLATION_PLAN.md index d8e5bb3..7542863 100644 --- a/docs/campaign/CASCADE_ABLATION_PLAN.md +++ b/docs/campaign/CASCADE_ABLATION_PLAN.md @@ -568,6 +568,25 @@ direction), not training-under-fault; wave-2 = co-training with faults injected +### RESULT 28 (2026-07-16): STAGE-0 HW GATE #1 — naked analog-resident updates need >10 bits; T64's word-streaming scenario measured next. +Protocol: arms7 (resume s45000 -> 55000, ctl 1.2678). --qup_bits = weights snapped to an ABSOLUTE +per-tensor grid after every update, stochastic rounding (= analog-resident cells, NO shadow). +| levels | best CE | tax vs ctl | +|---|---|---| +| fp32 (ctl) | 1.2678 | — | +| 10-bit | 1.2795 | +0.012 | +| 8-bit | 1.3096 | +0.042 | +| 6-bit | 1.3598 | +0.092 | +Monotone dose-response; clean (zero guards). Readings: +- NAKED resident-cell training (updates quantized at write, no digital shadow) needs >=10-12 bits + — this is the measured version of why in-memory analog UPDATE machines die on write resolution. +- T64 is NOT this scenario: word-streaming keeps the fp32 master in Zynq DDR; the 8-bit DAC is a + COMPUTE element. The correct T64 gate = --qcomp_bits (compute on grid-snapped weights, + fp32 master gets updates; mathematically identical to resident-cells + 24b shadow accumulator). + qcomp8/6/4 arms running (gate #1b). +- Procurement impact: the Y3/pc AD7528 line is unaffected either way (its role is compute); + the acceptance ENOB bar keys on the qcomp verdict. + ### RESULT 27 (2026-07-15): K-SATURATION ACROSS TRAINING (Alexi's challenge answered with data). Challenge (Alexi Gladstone): K=3 nudge sweeps seems very few; as training roughens the landscape, more sweeps may be needed absent a convexity argument. -- cgit v1.2.3