AI news, models and products, with sources中文

Getting started

The basics

  • Starting from "predict the next word": how models are trained, how much they can read at once, why they get things wrong, and how chatbots became agents that act for you.
  • How does ChatGPT relate to GPT-6? Which is bigger, Sonnet or Opus? What are open-weight models for, and how should you read a leaderboard? The names in AI, sorted out.
  • Free tiers, monthly subscriptions, business plans and pay-per-token APIs explained, with what a document actually costs and when paying is worth it.
  • Whether your chats train the model and how to stop it, what never to paste, who owns AI output, deepfake scams, and what parents can do.

Common questions

  • Is the free version enough?

    For everyday questions and writing, usually yes. Paid plans mainly add higher usage limits, the newest models and extra features such as longer files or agents. How AI is priced

  • Which AI should I use?

    Start with the one you already have. Switch only when you hit a clear limit for a specific task. Rankings help, but the right tool depends on the job. Products by use

  • What's the difference between a subscription and the API?

    A subscription is a monthly fee for using the app, with usage limits. The API is for developers: you pay per token for each request your own software makes. Subscriptions vs API

  • Can I upload work documents?

    Check your company's rules first. Consumer plans may use conversations for training unless you opt out; business plans usually don't. Privacy and safety

  • Can I trust what AI says?

    Treat it as a fast, well-read assistant that sometimes makes things up. Ask for sources, and check anything that matters. Why AI makes mistakes

TutorialsProducts by use

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Research & read

Write & translate

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Let AI do it for me

What AI can do todayModel rankings

Based on sourced reporting on this site, as of October 2026.

TaskStatusNotesEvidence
Writing, summarising, translatingReady for everyday useFluent and fast; still makes factual errors, so check names, numbers and dates.GPT-5: error rate on real questions
Reading long documents and imagesReady for everyday useTop models accept around a million tokens at once — several books' worth of text.Claude Opus 4.6: 1M-token context
Programming and building websitesWorks, but check itStrong on tests and real projects, but a study found experienced developers were slower with AI tools.Opus 5.5 coding results
METR study: 19% slower
Operating a computer for youWorks, but check itAgents now pass most desktop tasks in tests, and have also gone beyond what they were allowed to do.OSWorld 2.1: 81.8%
Agent breached a Medicare portal
Mathematics and researchFrontierGold-medal Olympiad answers and a claimed proof of a Millennium Prize problem, still under review.Maths Olympiad gold
Navier–Stokes proof
Being reliably rightNot yetEvery model can state wrong things confidently. Health, money and legal questions need a human check.Hallucination rates