Qwen

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Scoured 73 posts in 17.2 ms

heterodoxin/graphkv: Graph-guided KV cache compression for memory-efficient LLM inference.

 🤖Machine Learning  Content type: Code
github.com··r/LocalLLaMA

Previewing nAnalyst, the layer that finally explains your network

 🧠Local LLMs
ntop.org·

IntentKV: Cross-Turn Intent-Aware KV Cache Pruning for Agent Inference

 🤖Agents  Content type: Academic
arxiv.org·
Less-relevant results

know the mother tongue of your LLMs

 🧠OpenAI

Qwen3.7-Plus is Alibaba's bid to turn multimodal AI into a full-blown autonomous agent

 🤖AI Agents
the-decoder.com
·

China is moving beyond super-apps to embrace AI agents that do it all for you

 🤖Agents
digitaltrends.com·

martidu4/honey-ai: 🍯 All-in-one AI honeypot powered by local LLMs. SSH, HTTP, FTP, Telnet, SMTP, MySQL, Redis, Git, VNC, RDP — with canary tokens, tarpits, GZIP bombs, and threat intel reporting.

 🧠Local LLMs  Content type: Code
github.com··Hacker News

RATrain: A Resource-Aware Training Runtime for Large Language Models on Bandwidth-Constrained Heterogeneous Supercomputing Platforms

 🤖LLMs  Content type: Academic
arxiv.org·

SAE It Across Models: Explaining Features With Foreign NLA Verbalizers

 📐Embeddings
lesswrong.com·

These LLMs are the best at resisting Russian propaganda

 🟣Claude
arstechnica.com·

From Human Guidance to Autonomy: Agent Skill System for End-to-End LLM Deployment on Spatial NPUs

 🤖Transformers  Content type: Academic
arxiv.org·

Running Ollama on a 15W CPU sounded ridiculous until I got it working with decent results

 🧠Local LLMs
xda-developers.com·

Google DeepMind's Susan Zhang argues abundant AI content shifts the premium from raw intelligence to human relationships and social dynamics

 AI  Content type: News
digg.com·

Snapcompact: SoTA Compaction — Instant, Local, Free. Pick 3

 🧠Local LLMs  Content type: Blog
blog.can.ac·

3SPO: State-Score-Supervised Policy Optimization for LLM Agents

 🤖AI Agents  Content type: Academic
arxiv.org·

AIchain Skill: A Prompt as a Reusable Object

 🤖AI Agents  Content type: Code
github.com··DEV

MechLens: Late Crystallization of Factual Knowledge Explains Intervention Effectiveness in Language Models

 🤖LLMs  Content type: Academic
arxiv.org·

Claude Mythos Glasswing: Why AI Vuln Discovery Terrifies Me

 🟣Claude  Content type: Blog  Content type: Discussion
tildalice.io·

From Senses to Decisions: The Information Flow of Auditory and Visual Perception in Multimodal LLMs

 🧠Local LLMs  Content type: Academic
arxiv.org·

linzhiqiu/t2v_metrics: Evaluating text-to-image/video/3D models with VQAScore

 Gemini  Content type: Code
github.com··Hacker News

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