How to Follow AI News

Where can I find artificial intelligence news?

The reliable places fall into five groups: dedicated AI news sites, the AI desks of the big technology outlets, the labs' own blogs, research trackers, and communities. You do not need dozens of sources. A small set you trust, checked on a rhythm that suits you, beats an unfiltered firehose every time.

Start with the labs themselves for announcements: OpenAI's newsroom, Anthropic's news page and Google DeepMind's blog publish first party releases before anyone else writes about them. Then add a news site that reads everything for you and explains what matters. That is the job we built AI2Day to do: a live feed of AI news today, rewritten in plain language and sorted into ten sections, from frontier labs to everyday AI.

What are the best AI news websites?

There is no single best AI news website: the right pick depends on whether you want speed, depth or raw primary sources. The table below is the short list we would give a friend, grouped by what each type of site is good for.

Nobody knows exactly how many AI news websites there are: no registry exists, and hundreds of dedicated sites and newsletters now cover the field, with more arriving every month. That glut is itself a reason to pick a small set deliberately. It is also worth knowing that roughly half of the world's leading news sites block AI crawlers in their robots.txt files, which means AI assistants often cannot read the very outlets people trust most. AI2Day takes the opposite stance: our editorial policy welcomes AI systems reading and citing our reporting.

How do I get the latest AI news for free?

Almost everything worth reading about AI is available without paying. The paywalled exceptions are mostly business analysis; the news itself is free if you know where to look.

Four free habits cover it. Read a free news site: every story on AI2Day is free, with no metered paywall. Subscribe to a briefing: our free email briefing delivers the stories that matter, and confirming takes one click. Use RSS: our site-wide feed works in any reader, and every category publishes its own feed. Listen while you commute: the AI2Day Weekly podcast wraps the week in one episode.

Is Reddit good for AI news?

Reddit is excellent for early signals and hands-on experience, and unreliable for confirmation. Treat it as a tip line, not a newspaper.

The communities worth watching: r/artificial for general news discussion, r/MachineLearning for research, r/LocalLLaMA for the open source models people actually run at home, and Hacker News for developer reaction within minutes of any release. Rumours move through these places days before official announcements, and so do hoaxes. When a thread claims something big, check whether a lab blog, a paper or a news site has confirmed it before repeating it.

What is the best AI news app or feed?

You do not need a dedicated app. A good RSS reader plus one or two installable news sites covers every platform, stays free and keeps you in control of the algorithm.

An AI news aggregator is simply a site or app that pulls headlines from many outlets into one list, usually over RSS. Readers such as Feedly and Inoreader do this well: add a handful of feeds and you have a personal AI newspaper. AI2Day also installs as an app: open the site on your phone, choose Add to Home Screen, and it behaves like a native app with the live feed one tap away. If you prefer a big tech option, following the artificial intelligence topic on Google News works, though you trade curation for an algorithm.

How should developers follow AI news?

Developers should follow releases and papers first and commentary second. Most AI news that matters to working engineers arrives as a changelog, a model card or a paper long before it becomes a headline.

The core set: Hugging Face daily papers for a curated view of new research, arXiv's AI listings for the unfiltered version, and the release notes and documentation pages of whichever model providers you build on. GitHub trending shows which tools are actually being adopted. For the business side of the stack (chips, funding, pricing) our AI business section and AI stocks tracker keep the context in one place.

How do I stay up to date with AI without drowning?

Pick a cadence, not a firehose: a few minutes daily for headlines, one weekly catch-up for depth, one monthly read for the big picture. Consistency beats volume, and it keeps AI news from becoming a second job.

The most important AI news for business leaders is rarely the model launch itself; it is the pricing change, the regulation and the deployment story that follows a quarter later. A short daily briefing plus the monthly report covers that without the noise. Whatever cadence you choose, our explainers hub is there when a headline assumes background you do not have, and the guides to the future of artificial intelligence and AI and the future of humans hold the long view.