From 2a61e9425e29d09401ad351b89e5a28cc3c6d7c3 Mon Sep 17 00:00:00 2001 From: Yuren Hao Date: Sat, 11 Jul 2026 11:17:16 -0500 Subject: =?UTF-8?q?CLAIM=20RESCOPE:=20Kerjan-Hoier-Scellier=20PCN-ImageNet?= =?UTF-8?q?=20(their=20Eq.10=20=3D=3D=20our=20cascade=20energy;=201.0-1.5p?= =?UTF-8?q?p=20gap=20remains)=20=E2=80=94=20'largest=20NN=20today'=20conte?= =?UTF-8?q?sted,=20use=20largest-transformer/first-LM/zero-gap;=201B+=20un?= =?UTF-8?q?qualified?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- docs/CLAIM_LARGEST_NOBP.md | 15 +++++++++++++++ 1 file changed, 15 insertions(+) (limited to 'docs') diff --git a/docs/CLAIM_LARGEST_NOBP.md b/docs/CLAIM_LARGEST_NOBP.md index ace8678..8bb69e5 100644 --- a/docs/CLAIM_LARGEST_NOBP.md +++ b/docs/CLAIM_LARGEST_NOBP.md @@ -53,3 +53,18 @@ gradient exactness (cos ~= 1 vs autograd reference) ยท analog-compatible trained - https://www.science.org/doi/10.1126/science.adi8474 - https://github.com/UbiquitousLearning/Backpropagation_Free_Training_Survey - https://arxiv.org/abs/2511.01061 (forward-only rigorous evaluation, 2025) + +## UPDATE 2026-07-11: Kerjan-Hoier-Scellier (Rain AI), arXiv:2606.03584 โ€” the closest relative, and a re-scoping. +"Training a PCN on ImageNet using EP" (June 2026): VGG10 PCN, full ImageNet, centered EP, +top-1 33.81 vs BP 32.35 (top-5 13.23 vs 12.20) โ€” **a real 1.0-1.5pp gap remains, at the hands of +EP's inventor**. Their construction IS the layered-energy bridge (their Eq. 10 == our cascade energy; +free phase == forward pass; single-equilibrium simplification == our single-sided legality; their +mod-PGD/asynchronous traversal ~= our fb solver). Vision classification only; hardware explicitly +punted ("remains unclear whether F_PCN could be efficiently realized in hardware"). Parameter count +not stated (VGG10-class, plausibly 20-130M) => **"largest NN today" is CONTESTED โ€” do not use.** +RE-SCOPED claims that hold today: largest/first TRANSFORMER fully trained without BP; first +AUTOREGRESSIVE LANGUAGE MODEL; the only zero-gap result (matched-tuning indistinguishability; their +best retains 1.0-1.5pp). At 1B+ the unqualified largest-NN claim reactivates regardless of their +param count. STRATEGIC: same lab as CET, funded by Rain AI + ARIA Scaling Compute; their refs +(mu-PC 100+ layers, Goemaere signal-decay, Qi step-size schedules; Momeni et al. Nature 2025 PNN +review) are our depth-scaling reading list and the venue precedent. -- cgit v1.2.3