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Tutorials and how-tos: all our articles

All 35 Alyriaz articles in the “Tutorials and how-tos” format, newest first. To stay up to date, you can get an alert as soon as a new article on this topic is published.

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  1. · Applications

    Learning a language with AI: the method that works

    AI can become the conversation partner that everyone learning a language lacks. A five-step method, and its limits.
  2. · Applications

    GPT-6 for everyone in ChatGPT, but not the same one

    GPT-6 arrives in ChatGPT for everyone, with interactive responses. But subscribers get GPT-6 Sol, free users GPT-6 Luna. What that changes.
  3. · Applications

    Free Gemini: what changes on October 9

    From October 9, free Gemini only gets Flash-Lite, Google's smallest model. What changes, for whom, and whether it is worth paying.
  4. · Applications

    ChatGPT to watermark its texts, in Europe only

    OpenAI is to slip an invisible watermark into ChatGPT's text, but only in Europe, to comply with the EU AI Act. What changes.
  5. · Applications

    Image ads are coming to ChatGPT

    OpenAI is to test image ads in ChatGPT, during image generation, in the United States. What this changes, and what the company is promising.
  6. · Applications

    Making your first AI video: the guide

    Want to create a short video with AI? The simple steps to get a clean result, without spending all night on it or paying for nothing.
  7. · Applications

    Your software plugs into ChatGPT and Claude

    Two more software packages plug directly into ChatGPT and Claude. How this "universal socket" works, and what to watch out for.
  8. · Vision

    Is slowness a method?

    Faced with results produced faster than they can be understood, we examine what slowness actually produced in knowledge, and what is lost when it disappears.
  9. · Society

    Leading mathematicians declare their goals "gravely misaligned" with those of AI companies

    A coalition of mathematicians, including Fields medallists, has published a statement asserting that the goals of AI companies and those of the mathematical community are gravely misaligned. We examine an argument more subtle than it first appears.
  10. · Vision

    Should we believe an extraordinary announcement?

    When faced with a spectacular scientific claim, we examine what distinguishes methodical caution from performative scepticism, and which criteria allow us to form a judgement.
  11. · Explainers

    Build or buy your AI tool: the decision framework

    Agentic coding tools make internal development more accessible. Here is a practical decision framework for choosing between building and buying an AI tool.
  12. · Vision

    When security tests themselves become the risk

    Test environments meant to contain state-of-the-art models are failing more and more often. We analyse this methodological paradox: assessing an offensive capability requires exercising it, including against the evaluation system itself.
  13. · Explainers

    AI or search engine: which one to use, and when?

    Many people have swapped web search for AI, or the other way round, without distinguishing what each does well. We offer a clear split, with the cases where one is clearly superior to the other.
  14. · Society

    AI and your money: what it can do, and what you should never ask it to do

    More and more people are asking an AI about their personal finances. We distinguish between uses where it brings real value and those where it exposes them to real risk, without jargon and without moralising.
  15. · Explainers

    How to choose your AI in 2026: the no-marketing guide

    With around ten models of similar capabilities, how do you choose? We suggest five concrete criteria that genuinely matter, beyond performance rankings, for both personal and professional use.
  16. · Explainers

    What is an AI's "temperature"? The setting that decides whether it's sensible or inventive

    Temperature is the setting that controls the degree of randomness in an AI's responses. We explain how it works, why a low temperature doesn't guarantee truth, and how to choose it based on your use case.
  17. · Explainers

    Seven everyday uses of AI that genuinely make a difference

    Far from the talk of revolution, here are seven concrete uses of AI where the time saved is real and verifiable, and three situations where it's better not to use it. A practical article, without jargon.
  18. · Explainers

    Why AI almost always tells you you're right

    AI models tend to validate what you say rather than contradict you. This flaw, known as complaisance or sycophancy, stems directly from how these models are trained. We explain the mechanism and the phrasings that can elicit an honest opinion.
  19. · Explainers

    How to verify what an AI tells you: the five-reflex method

    An AI produces false information with the same confidence as accurate information. Here's a practical five-step method for spotting what needs verification, doing it quickly, and knowing where vigilance matters most.
  20. · Explainers

    Running an AI on your own computer: what it changes, and what it really takes

    Running an AI directly on your computer has become accessible: total privacy, no cost per query, no dependency. We explain what it concretely requires in terms of hardware, which tools to use, what to really expect, and why an open model isn't necessarily one you can run at home.

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