🗃️ Otaku Theory - seshiapple · Scour

Resources 🧵Digital Folklore

learnjapanese.moe·1d

Embarrassingly Simple Self-Distillation Technique 🧠AI Knowledge Work

mail.bycloud.ai·3d

Symbiotic-MoE: Unlocking the Synergy between Generation and Understanding 🧠AI Knowledge Work

arxiv.org·15h

Lightning Talks V (sotm2025) 🌐Media Ecology

cdn.media.ccc.de·1d

We rebuilt how MoE models generate tokens on Blackwell GPUs, resulting in 1.84x faster inference and more accurate outputs. 🧠AI Knowledge Work

twitter.macworks.dev

·3d

JordiSilvestre/Spectral-AI: "O(log N) MoE Expert routing via RT Core ray tracing. BVH traversal replaces matrix multiplication in neural language models." 🧠AI Knowledge Work

github.com·1d·Hacker News

Workers AI - Google Gemma 4 26B A4B now available on Workers AI 🧠AI Knowledge Work

developers.cloudflare.com·6d

Better MoE model inference with warp decode 🖥️Retro Computing

cursor.com·4d·Hacker News

Frontier Pretraining Infrastructure Is Already Open Source: GPT-OSS on TPU with MaxText 🖥️Retro Computing

patricktoulme.substack.com·3d·Substack

Seeing but Not Thinking: Routing Distraction in Multimodal Mixture-of-Experts 🧠AI Knowledge Work

arxiv.org·15h

Alloc-MoE: Budget-Aware Expert Activation Allocation for Efficient Mixture-of-Experts Inference 🧠AI Knowledge Work

arxiv.org·15h

Do Domain-specific Experts exist in MoE-based LLMs? 🗂️Zettelkasten

arxiv.org·2d

trevorgordon981/alfred-abliterate: Residual-stream abliteration toolkit for MoE models (Qwen3.5-397B-A10B) on Apple Silicon. Removes PRC-aligned content policies from local inference. Tested on Mac Studio M3 Ultra 512GB. 📺Glitch Art

github.com·4d·r/LocalLLaMA

MoBiE: Efficient Inference of Mixture of Binary Experts under Post-Training Quantization 🧠AI Knowledge Work

arxiv.org·1d

QA-MoE: Towards a Continuous Reliability Spectrum with Quality-Aware Mixture of Experts for Robust Multimodal Sentiment Analysis 💻Digital Humanities

arxiv.org·2d

Gemma 4, Phi-4, and Qwen3: Accuracy-Efficiency Tradeoffs in Dense and MoE Reasoning Language Models 🧠AI Knowledge Work

arxiv.org·1d

TalkLoRA: Communication-Aware Mixture of Low-Rank Adaptation for Large Language Models 💻Digital Humanities

arxiv.org·1d

Efficient Quantization of Mixture-of-Experts with Theoretical Generalization Guarantees 🧠AI Knowledge Work

arxiv.org·1d

HI-MoE: Hierarchical Instance-Conditioned Mixture-of-Experts for Object Detection 🧠AI Knowledge Work

arxiv.org·3d

MoE Routing Testbed: Studying Expert Specialization and Routing Behavior at Small Scale 🧠AI Knowledge Work

arxiv.org·1d

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