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Scoured 760 posts in 5.7 ms

Google’s latest on-device AI model is custom-made for your laptop

 🧠LLMs
androidauthority.com·

[AINews] FrontierCode: Benchmarking for Code Quality over Slop

 🧠LLMs  Content type: News
latent.space
·

Tales of an Ollama Honeypot (Part 3): More Traffic, More Findings

 🏠Local LLMs
posts.inthecyber.com·

Google Gemma 4 12B nearly matches 26B benchmarks — and runs on your laptop

 👥CrewAI
thenewstack.io·

DiffusionGemma: The Developer Guide

 🧠LLMs  Content type: Blog

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

How to Run Gemma 4 12B Locally - The Best AI For Consumer Laptops

 🏠Local LLMs  Content type: Video
youtube.com·

"North Mini Code"; open weights, 30B param, Canadian coding model

 🧠LLMs  Content type: Blog
cohere.com··Hacker News

Show HN: Run Llama.cpp In-Process from Java with Project Panama FFM

 🏠Local LLMs

147th airhacks tv: Local LLMs, LightMetal, ZSmith Agents, AI Rails, Saving Tokens

 🏠Local LLMs  Content type: Blog
adambien.blog·

Run Google's Gemini LLMs right on your Mac with the new AI Edge Gallery

 🏠Local LLMs
appleinsider.com·

Researchers Build Self-Replicating AI Worm That Operates Entirely on Local, Open-Weight Models

 🔍RAG
thehackernews.com·

Google Releases AI Edge Gallery for Mac With Gemma 4 12B

 🕵️Agentic AI  Content type: News
iclarified.com·

Using local LLMs for agentic coding

 🧠LLMs  Content type: Blog
blog.alexewerlof.com·

HARP: Efficient Data Selection for Finetuning Large Language Models

 🧠LLMs  Content type: Academic
arxiv.org·

KaiFelixBennett/gemma4-turboquant-rdna4: Run Gemma-4-31B at full 256K context on a $1,400 AMD RDNA4 GPU (gfx1201): TurboQuant KV cache + HIP-graph-safe Flash-Attention for llama.cpp, fully measured on real hardware.

 🟢NVIDIA  Content type: Code
github.com··Hacker News

Multimedia Building Blocks

 🧠LLMs  Content type: Blog
huggingface.co·

System Over Model, Tested: Reproducing Mythos’s FreeBSD Find on Local Open-Weight Models

 🛠️Developer Tools

Critical Hugging Face Transformers flaw ran attacker code on a routine model load

 🤗Hugging Face
siliconangle.com·

Apples to Apples: MLX vs. Llama.cpp for Gemma 4 12B on an M1 16GB

 🏠Local LLMs  Content type: Blog
ziraph.com··Hacker News
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