🤖 Qwen - flipperjibber

🤖LLMs Academic

arxiv.org·

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·

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·

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

🧠Local LLMs

xda-developers.com·

AIchain Skill: A Prompt as a Reusable Object

🤖AI Agents Code

github.com··DEV

Less-relevant results

know the mother tongue of your LLMs

🧠OpenAI

mothertoken.inigoimaz.com··Hacker News

FlexNPU: Transparent NPU Virtualization for Dynamic LLM Prefill-Decode Co-location

🧠Local LLMs Academic

arxiv.org·

Claude Mythos Glasswing: Why AI Vuln Discovery Terrifies Me

🟣Claude Blog Discussion

tildalice.io·

RecursiveIntell/proveKV: Two-tier, receipted, content-addressed KV-cache pool. fib_k4_n32 cold tier + turbo_8bit hot tier. 18-20% lossless dPPL on real 1.7B LLM. Successor to kv-lossless-11x (archived).

💎Obsidian Code

github.com··r/LocalLLaMA

PEFT of SLM for Telecommunications Customer Support: A Comparative Study of LoRA Configurations with Energy Consumption Analysis

🧠Local LLMs Academic

arxiv.org·

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 Code

github.com··Hacker News

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

🤖Transformers Academic

arxiv.org·

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

✨AI News

digg.com·

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

🧠Local LLMs Blog

blog.can.ac·

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

🤖LLMs Academic

arxiv.org·

I ran local AI models on a six-year-old laptop with no GPU, and they actually worked

🧠Local LLMs

xda-developers.com·

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

Previewing nAnalyst, the layer that finally explains your network

ReasoningFlow: Discourse Structures for Understanding LLM Reasoning Traces

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

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

SAE It Across Models: Explaining Features With Foreign NLA Verbalizers

These LLMs are the best at resisting Russian propaganda

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

AIchain Skill: A Prompt as a Reusable Object

know the mother tongue of your LLMs

FlexNPU: Transparent NPU Virtualization for Dynamic LLM Prefill-Decode Co-location

Claude Mythos Glasswing: Why AI Vuln Discovery Terrifies Me

RecursiveIntell/proveKV: Two-tier, receipted, content-addressed KV-cache pool. fib_k4_n32 cold tier + turbo_8bit hot tier. 18-20% lossless dPPL on real 1.7B LLM. Successor to kv-lossless-11x (archived).

PEFT of SLM for Telecommunications Customer Support: A Comparative Study of LoRA Configurations with Energy Consumption Analysis

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.

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

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

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

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

I ran local AI models on a six-year-old laptop with no GPU, and they actually worked