About

Hi, I am Evan. I built TensorFeed because I was tired of piecing together AI news from a dozen different sources every morning. I wanted one place where I could see new model releases, API status updates, research papers, and benchmark results without jumping between Twitter, arXiv, and a handful of Discord servers. So I built the thing I wanted to use, and here we are.

TensorFeed.ai is a project from Pizza Robot Studios LLC, the same team behind VR.org and TerminalFeed.io. We have a thing for building fast, useful data feeds. If you have been to any of our other sites, you will feel right at home here. We care about speed, clean design, and giving people the information they need without the noise.

A tensor is a mathematical object used throughout machine learning and physics. In the simplest terms, a scalar is a single number, a vector is a list of numbers, a matrix is a grid of numbers, and a tensor is the generalization of all three to any number of dimensions.

In machine learning, tensors are the fundamental data structure. Every piece of data flowing through a neural network (images, text embeddings, model weights, gradients) is stored and processed as tensors. Google named their AI chip the "Tensor Processing Unit" and their ML framework "TensorFlow" after this concept.

"TensorFeed" means a feed of AI and ML data. The name captures what the site does: delivering structured, machine-readable data about the AI ecosystem.

TensorFeed aggregates headlines and brief snippets from public RSS feeds published by AI companies, tech news outlets, and research platforms. Every article links directly back to its original source.

We do not host, reproduce, or republish full articles. The RSS feeds we pull from are published intentionally by their owners for exactly this purpose. This is the same model used by Google News, Feedly, Techmeme, and every major news aggregator.

Our original articles under /originals are written by our editorial team and are the only content we create ourselves. Everything else is properly attributed and linked.

TensorFeed is designed to be consumed by AI agents as a first-class use case. We provide structured data endpoints, RSS/JSON feeds, and an llms.txt discovery file.

Available endpoints: /feed.xml (RSS), /feed.json (JSON Feed), /api/agents/news.json, /api/agents/status.json, /api/agents/pricing.json, /llms.txt

No CAPTCHAs, no bot detection. Agents are welcome here.