About

The day's AI news, in plain words

Training Data Daily reads more than 50 trusted sources every day and ranks the stories that matter most, so you can catch up in five minutes.

What we do

AI moves fast and the coverage is scattered across news outlets, lab blogs, research groups and newsletters. Every day we gather it in one place, group the articles that cover the same event, and publish the twenty most important stories, each linking straight to the original publisher.

We don't rewrite other people's journalism. Headlines and short excerpts link to, and belong to, their publishers.

How stories are picked

Stories are selected and ranked automatically, using the same rules every day:

  • Coverage. A story reported by several outlets ranks higher than one only a single outlet noticed.
  • Source. Announcements from AI labs and reporting from established news organizations carry the most weight.
  • Freshness. Newer stories rank above older ones.
  • Variety. No single publisher can take more than three of the day's twenty spots.

Every day's list stays online permanently in the archive, and you can search every story we've published.

Independence

Advertisers and sponsors never influence which stories appear or how they're ranked. Paid placements are always labeled "Advertisement" and kept separate from the news.

Our sources

News & trade press

  • MIT Technology Review
  • TechCrunch
  • The Verge
  • Ars Technica
  • Wired
  • The Information
  • Reuters
  • Bloomberg
  • Financial Times
  • Axios
  • CNBC
  • The Decoder
  • VentureBeat
  • IEEE Spectrum
  • Engadget

Newsletters & analysts

  • The Batch
  • Import AI
  • TLDR AI
  • The Rundown AI
  • The Neuron
  • Ben's Bites
  • Latent Space
  • Ahead of AI
  • Interconnects
  • One Useful Thing
  • Last Week in AI
  • Smol AI News
  • ChinAI
  • Exponential View
  • Turing Post

Primary sources

  • OpenAI
  • Anthropic
  • Google DeepMind
  • Google Research
  • Google AI
  • Meta AI
  • Meta Newsroom
  • Microsoft Research
  • Microsoft
  • NVIDIA
  • Hugging Face
  • Ai2
  • BAIR
  • MIT News
  • Stanford HAI
  • arXiv cs.AI
  • The Gradient
  • Apple ML Research

Data & community

  • Epoch AI
  • AI Futures Project
  • Hacker News
  • r/LocalLLaMA
  • r/MachineLearning

Who we are

Training Data Daily is an independent publication.

Spotted a mistake, or a source we should add? Email hello@trainingdatadaily.com.