Record: TMA Megakernel + Improved Parallel Residuals + Tap-In min_match=1 — val_bpb 1.07636 (3-seed mean)#1555
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8 Gated DeltaNet layers + 2 softmax attention layers. GDN is mathematically equivalent to E2E TTT-Linear with MSE loss. First competitive GDN hybrid in the 10-min budget. Targets bounty items: E2E TTT + State-space models. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
…ch=1 — val_bpb 1.07636 (3-seed mean) 3-seed mean 1.07636 BPB (std 0.0006), delta -0.00897 nats vs merged SOTA openai#1493. Novel: TMA fused MLP kernel, Tap-In unigram matching (min_match=1, fires 21% of positions), improved parallel residuals from openai#1529, parameter banking from openai#1523. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Summary
val_bpb = 1.07636 (3-seed mean, std 0.0006) | ~15.97 MB | 8xH100 SXM
Merged SOTA (PR #1493): 2.78932 nats. Delta: -0.00897 nats (clears 0.005 threshold by 80%).
Novel Contributions
Compliance (Track B — Issue #1017)
Test plan
Credits
@msisovic (improved parallel residuals #1529), @abaybektursun (Tap-In V4/V6 #1518/#1420, TTT #549), @clarkkev (SP8192 + SDClip #1394), @EthanYangTW (parameter banking #1523), @dexhunter (legal TTT #1413), @resouer (eval hash embedding #1460), @bigbag (QK-Gain tuning #1493)
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