AI/TLDR — New AI Releases Daily: Models, Tools, Repos & PapersA high-volume feed of new AI releases — models, open-source repos, developer tools, papers, datasets, and benchmarks — refreshed every 8 hours. Each release is explained in plain English so you actually understand what shipped.This site uses JavaScript to render the interactive feed. Enable JavaScript, or visit the source repo for the raw JSON.

AI/TLDR

Local & Open Models

Running models on your own hardware — Ollama, llama.cpp, vLLM, quantization, GGUF, and Hugging Face.

Running Models Locally

From zero to a model running on your laptop in one evening.

BEGINNERWhat Is a Local LLM? Why Run Models on Your Own Machine BEGINNERHow to Run LLMs Locally with Ollama

Quantization & Model Formats

GGUF, 4-bit, GPTQ, AWQ — making big models fit small machines.

BEGINNERWhat Is Quantization? Shrinking Models to Fit Your GPU INTERMEDIATEWhat Is the GGUF Format?

The Open Model Ecosystem

Hugging Face, model families, model cards, and what licenses actually allow.

BEGINNERWhat Is Hugging Face? The GitHub of Machine Learning Explained BEGINNERBest Open-Source LLMs: Llama, Mistral, Gemma Compared

Inference & Serving Engines

vLLM, batching, and the economics of serving your own GPUs.

BEGINNERWhat Is an Inference Server? Serving LLMs to Many Users INTERMEDIATEWhat Is vLLM?