transductARC
Training transductive autoregressive transformers for ARC-AGI 1 & 2
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GITHUB · launched Sep 14, 2026 · 7 upvotes (top 95%) · 0 views
Niche: machine learning developer tools · 303 launches, 11 in the last 7 days ▼ -45% · Explore this niche →
Category and tags
- Horizontal
- Model & infra
- Developer
- AI-native
- Hobby / open-source project
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More like this: all 303 launches in machine learning developer tools →
Could you build this?
No Training transductive autoregressive models for the ARC-AGI reasoning benchmark is cutting-edge AI research requiring deep machine learning expertise and substantial GPU compute.
What it would actually take: Building this requires custom PyTorch transformer architectures tailored to transductive reasoning and grid transformations, complex data augmentation pipelines, and distributed multi-GPU training clusters. Solving ARC-AGI via test-time fine-tuning or transductive autoregression is an active unsolved research topic in artificial general intelligence. It demands ML researchers with expertise in inductive bias, loss function design, and large-scale model training.
Competitors
Other products that read as similar to this one : 1858 launches clear the similarity bar, closest 8 shown.
Attention rank: #1746 of 1859 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 315 days after the earliest competitor.
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- TypeLLM · github · 2026-09-17 · 35 upvotes · similarity 0.55
- Pulse-Field · hn · 2025-11-24 · 6 upvotes · similarity 0.53
- GLiFormer · github · 2026-09-11 · 46 upvotes · similarity 0.52
- Looped-DiT · github · 2026-09-29 · 25 upvotes · similarity 0.52
- Bypassing Transformer Softmax via Static Contraction · hn · 2026-09-11 · 7 upvotes · similarity 0.51
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