🗃️ Otaku Theory - CWhiting · Scour

Mainstream anime moments can create big business opportunities 🎌Anime Conventions

Moe Sucks -- The Ramparts of Ice Ep. 7: Everyone’s got baggage & the pseudo love polygon ⛩️Anime

moesucks.com·6d

GEM: GPU-Variability-Aware Expert to GPU Mapping for MoE Systems 🏗️LLM Infrastructure

MoE expert co-activations: Reordering inputs yields easy throughput gains. ⚡LLM Optimization

blog.doubleword.ai·27m·Hacker News

[WIP] Gemma 4 MTP by am17an · Pull Request #23398 🤖Android

github.com·11h·r/LocalLLaMA

Sideshow Moe | Ace Attorney: Justice For All (20) ⚡Shonen

youtube.com·5d·r/TwoBestFriendsPlay

Researchers train AI model that hits near-full performance with just 12.5 percent of its experts 🎯AI Training

the-decoder.com

·4d

OmniGene-4: A Unified Bio-Language MoE Model with Router-Level Interpretability 🤖Large Language Models

biorxiv.org·5d

MiroThinker-1.7, an open-weight deep research agent (Qwen3 MoE base) — mini is 30B/3B active, curious what tok/s people get on consumer hardware 🤖Anthropic Claude API

huggingface.co·3d·r/LocalLLaMA

No sensitive data leaked in global Canvas learning platform breach: MOE 🔒Information Security

straitstimes.com·4d

Geometric Asymmetry in MoE Specialization: Functional Decorrelation and Representational Overlap 🖼️Dual Coding

Why Gemma-4 26B MoE works in HuggingFace but breaks in prod inference engines 🏗️LLM Infrastructure

github.com·5d·Hacker News

DBES: A Systematic Benchmark and Metric Suite for Evaluating Expert Specialization in Large-Scale MoEs 📊AI Performance Profiling

Moe Sucks -- An Observation Log of My Fiancée Who Calls Herself a Villainess Ep. 7: Resentment is brewing 🧠Psychological Thriller

moesucks.com·5d

A Data-Efficient Path to Multilingual LLMs: Language Expansion via Post-training PARAM$\Delta$ Integration into Upcycled MoE ⚡LLM Optimization

TIDE: Efficient and Lossless MoE Diffusion LLM Inference with I/O-aware Expert Offload ⚡LLM Optimization

Post-Trained MoE Can Skip Half Experts via Self-Distillation ⚡LLM Optimization

CAT-MoEformer: Context-Aware Temporal MoE Transformer for Beam Prediction ⚡LLM Optimization

HELLoRA: Hot Experts Layer-Level Low-Rank Adaptation for Mixture-of-Experts Models ⚡LLM Optimization

Mixture of Experts for Low-Resource LLMs 🧠LLMs

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