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Parent(s): 30d2ac2
chore: add void attention footer links
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app.py
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@@ -730,13 +730,25 @@ The improvement is largest on asymmetric games where the walkers' complement dis
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[The Void](https://huggingface.co/spaces/forkjoin-ai/the-void) |
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[Buleyean RL](https://huggingface.co/spaces/forkjoin-ai/buleyean-rl) |
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[Glossolalia](https://huggingface.co/spaces/forkjoin-ai/glossolalia) |
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[Metacog](https://huggingface.co/spaces/forkjoin-ai/metacog) |
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[Five Bules](https://huggingface.co/spaces/forkjoin-ai/five-bules) |
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[Quark Personality](https://huggingface.co/spaces/forkjoin-ai/quark-personality)
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**Source**: [github.com/affectively-ai/aeon](https://github.com/affectively-ai/aeon)
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Built by [AFFECTIVELY](https://affectively.ai). The complement distribution was always softmax attention. The void boundary was always the KV cache. We just named the parts.
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"""
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[The Void](https://huggingface.co/spaces/forkjoin-ai/the-void) |
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[Buleyean RL](https://huggingface.co/spaces/forkjoin-ai/buleyean-rl) |
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[Glossolalia](https://huggingface.co/spaces/forkjoin-ai/glossolalia) |
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[Glossolalia Examples](https://huggingface.co/spaces/forkjoin-ai/glossolalia-examples) |
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[Metacog](https://huggingface.co/spaces/forkjoin-ai/metacog) |
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[Five Bules](https://huggingface.co/spaces/forkjoin-ai/five-bules) |
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[Quark Personality](https://huggingface.co/spaces/forkjoin-ai/quark-personality)
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**Training spaces**:
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[Buleyean RL 70B Trainer](https://huggingface.co/spaces/forkjoin-ai/buleyean-rl-70b-trainer) |
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[Buleyean RL Mistral 7B Trainer](https://huggingface.co/spaces/forkjoin-ai/buleyean-rl-mistral-7b-trainer) |
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[Buleyean RL Qwen 7B Trainer](https://huggingface.co/spaces/forkjoin-ai/buleyean-rl-qwen2.5-7b-trainer) |
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[Buleyean RL DeepSeek R1 7B Trainer](https://huggingface.co/spaces/forkjoin-ai/buleyean-rl-deepseek-r1-7b-trainer) |
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[Buleyean RL Gemma 9B Trainer](https://huggingface.co/spaces/forkjoin-ai/buleyean-rl-gemma2-9b-trainer) |
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[Buleyean RL Qwen 14B Trainer](https://huggingface.co/spaces/forkjoin-ai/buleyean-rl-qwen2.5-14b-trainer) |
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[Buleyean RL Mistral Small 24B Trainer](https://huggingface.co/spaces/forkjoin-ai/buleyean-rl-mistral-small-24b-trainer)
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**Source**: [github.com/affectively-ai/aeon](https://github.com/affectively-ai/aeon)
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Built by [AFFECTIVELY](https://affectively.ai). The complement distribution was always softmax attention. The void boundary was always the KV cache. We just named the parts.
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Copyright 2026 forkjoin.ai
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"""
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