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

 💬LLMs  Content type: Blog
adambien.blog·

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

 🤖ai  Content type: Blog
cohere.com··Hacker News

not much happened today | AINews

 🤖ai
news.smol.ai·

Gemma 4 QAT models: Optimizing model compression for mobile and laptop efficiency

 ⚙️ML Engineering  Content type: News  Content type: Blog
blog.google··Hacker News

Neo-X7/Neo-AI: A fully offline AI assistant powered by Ollama. Stores and retrieves conversations using SQLite + LanceDB vector search. No cloud. No API keys. Runs entirely on your machine.

 🤖ai  Content type: Code
github.com··DEV

[AINews] FrontierCode: Benchmarking for Code Quality over Slop

 🤖ai  Content type: News
latent.space
·

GGUF vs GPTQ vs AWQ: The Plain-English Guide to LLM Quantization (and Which One to Pick)

 ⚙️ML Engineering

WWDC 2026: Foundation Models (& Anarlog)

 Software Perf
skushagra.com·

LLM-as-a-Discriminator: When Synthetic Tables Still Look Real

 💬LLMs  Content type: Academic
arxiv.org·

Making Local LLM Go Brrr

 💬LLMs

Can You Code With 1-Bit AI Model?

 🤖ai  Content type: Video
youtube.com·

MoQ GGUFs and GSQ: Low-Bit GGUFs Are About to Get Much Better

 ⚙️ML Engineering  Content type: News  Content type: Blog

Can Voice Agents Handle Bilingual Customers? Benchmarking Frontier ASR on Code-Switched Speech

 🤖ai  Content type: Blog
huggingface.co·

Building & Benchmarking: LLMs on a 16GB Jetson Orin NX for Hermes Agent

 💬LLMs  Content type: Blog
dnhkng.github.io·

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

 🤖ai

You don't need Copilot for code completion, try this instead

 💬LLMs

I finally built the central AI hub I've been wanting, and Open WebUI made it stupidly simple

 💬LLMs
xda-developers.com·

Google makes Gemma 4 12B a local AI bet for startups

 🤖ai
startupfortune.com·

Train Models Faster with JAX and MaxText Using NVFP4 on NVIDIA Blackwell

 💬LLMs  Content type: News  Content type: Blog

The latest Gemma 4 models use a training trick to slash their on-device memory footprint

 ⚙️ML Engineering
androidauthority.com·

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