Bypassing Transformer Softmax via Static Contraction
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HN · launched Sep 11, 2026 · 7 upvotes (top 56%) · 0 views
Niche: transformer model development tools · 17 launches, 0 in the last 7 days · Explore this niche →
Category and tags
- Horizontal
- Model & infra
- Developer
- AI-native
- Hobby / open-source project
Visit website ↗ Source listing ↗
More like this: all 17 launches in transformer model development tools →
Could you build this?
No Developing an alternative to Transformer softmax via static contraction is foundational deep learning research requiring mathematical rigor and ML research expertise.
What it would actually take: Requires novel mathematical derivations of attention mechanisms, custom PyTorch/JAX implementations, and authoring custom CUDA/FlashAttention-style hardware kernels to replace softmax operations. Validating the architecture requires massive computational resources to train and benchmark models against standard LLM benchmarks.
Discussion
No comments on this launch.
Competitors
Other products that read as similar to this one : 1938 launches clear the similarity bar, closest 8 shown.
Attention rank: #1071 of 1939 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 315 days after the earliest competitor.
- TRiP · hn · 2026-04-30 · 38 upvotes · similarity 0.67
- RLT · github · 2026-09-13 · 51 upvotes · similarity 0.64
- recurrent-transformer · github · 2026-09-25 · 18 upvotes · similarity 0.62
- recurrent-looped-tranformer · github · 2026-09-12 · 853 upvotes · similarity 0.60
- Kiln · hn · 2026-11-12 · 5 upvotes · similarity 0.54
- NextTransformer · github · 2026-10-31 · 273 upvotes · similarity 0.52
- Looped-DiT · github · 2026-09-29 · 25 upvotes · similarity 0.52
- factorio-transformer · github · 2026-10-04 · 17 upvotes · similarity 0.52
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