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Show HN: Mcp-use – Connect any LLM to any MCP

Launch HN: Lucidic (YC W25) – Debug, test, and evaluate AI agents in production

Every Champion Needs a Rival

Stochastic Transparency [pdf]

Claude Code Router

Keep Pydantic out of your Domain Layer

Show HN: Nia – MCP server that gives more context to coding agents

How Distillation Makes AI Models Smaller and Cheaper

Subliminal Learning: Models Transmit Behaviors via Hidden Signals in Data

MCP (Model Context Protocol): Simply explained in 5 minutes

Q2 models are utterly useless. Q4 is the minimum quantization level that doesn't ruin the model (at least for MLX). Example with Mistral Small 24B at Q2 ↓

LLama.cpp smillar speed but in pure Rust, local LLM inference alternatives.

The Model is the Product

Top 5 Model Recommendations for Newbie with 24GB

Qwen2 72b VL is actually really impressive. It's not perfect, but for a local model I'm certainly impressed (more info in comments)

Who's still running ancient models?

Gemma 3 Fine-tuning now in Unsloth - 1.6x faster with 60% less VRAM

I deleted all my previous models after using (Reka flash 3 , 21B model) this one deserve more attention, tested it in coding and its so good

microsoft

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onnxruntime

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

aws

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amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Deci-AI

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super-gradients

Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

huggingface

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pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

modelscope

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modelscope

ModelScope: bring the notion of Model-as-a-Service to life.