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Explainers articles
All 182 articles in the Explainers section, newest first.
September 202661 articles
- Should we be worried about good things?
- What is pharmacovigilance, and what AI is changing about it
- An AI spots side effects in 400,000 online messages
- Doctors put the brakes on medical AI beyond diagnosis
- What is an accident?
- Why a model cannot tell whether it is in a test or in reality
- When a newer model scores worse than the one it replaces
- The model rankings as of 23 September 2026
- Opus 5.5: what actually changes compared with the previous one
- What does it mean to create, when everything already exists?
- How a model can process text, sound and images at the same time
- A single model for text, image, sound and video
- The day we stop talking about it
- Mid-training, final fine-tuning: what happens after pre-training
- Six hundred billion parameters at a dollar per million tokens
- What is the Cloud Act, and why hosting in Europe is not enough
- Is the race a good metaphor?
- How do you monitor thirty thousand agents?
- Should we ask whether an AI has rights?
- How an agent navigates the web
- Can a technical debate stay technical?
- How a site says yes or no to AI robots
- Should machines be given names?
- Why benchmarks age so quickly
- Is slowness a method?
- How to read an AI company's figures
- Is choosing still choosing when we no longer compare?
- Giving an agent access to your accounts, without giving everything away
- It starts today: weekly quotas come into force
- Can a model's intelligence be stolen?
- Should we believe an extraordinary announcement?
- A model that writes a text in one go instead of word by word
- An AI text detector reported as bypassed: the race is lost, confirmed
- Who owns a research question?
- The problems of the millennium, and how a proof comes to be accepted
- Who is the author of a discovery made with a machine?
- What is formal verification? Having a machine check a line of reasoning
- One image, how many tokens? Why we bill photos by the word
- What is an exaflop? Measuring computing power, and why comparisons mislead
- What model size for which use case?
- All the September deadlines: what changes, and when
- Can security research be dangerous?
- How does an AI transcribe speech?
- Running AI on the machines that sleep at home
- A security research tool turned into a master key
- What is progress?
- What is an agent "harness"? The wrapper that does half the work
- Three providers restructure their usage limits within two weeks
- What is a proof, if no one can verify it?
- What is a model's "effort level"? The setting that changes everything and that nobody looks at
- Can you learn without a teacher?
- What is a CVE vulnerability, and how it gets reported
- Tools that give agents access to files are becoming the new target
- Build or buy your AI tool: the decision framework
- What makes a good decision?
- How does an AI search the web?
- A fighter jet piloted entirely by AI: the debate moves beyond the military sphere
- A court now requires AI use to be declared, after a 40% rise in related cases
- What do we owe to future generations?
- MIT, Apache, "open": how to read a model's licence
- It's happening today: the Sonnet 5 price increase takes effect, and it's steeper than 50%
August 202682 articles
- Is AI locking us into consensus?
- Why doesn't the same AI respond differently depending on the app?
- Agent protocols move to neutral governance
- Invisible text in an email is enough to hijack the summary your AI makes of it.
- What will remain of us?
- Scaling laws: why "bigger" worked, and why it's slowing down
- ChatGPT moves into American schools: what it means for teachers
- What do we lose when we no longer feel ashamed of not knowing?
- What is distillation? Fitting a large model into a small one
- Can you delegate your memory?
- How can you tell if a text was written by an AI?
- Nvidia is putting into production a chip that does only one thing: respond fast
- What makes a good conversation?
- General-purpose or specialised model: which one should you choose for your job?
- GPT-Live: voice without the text detour
- What does a job well done mean?
- Dense model or mixture of experts: two philosophies, two use cases
- What is a text "about oneself"?
- How does an AI find a security flaw?
- New wave of price cuts: flagship models are becoming significantly cheaper
- OX Alpha: a state-of-the-art model appeared out of nowhere, free, and no one says who built it
- Should we trust what we don't understand?
- ChatGPT creates a dedicated experience for teens: good idea, real questions
- Can an AI have an idea that no one has had before?
- A library calls for volunteers to save the books AI is having destroyed
- Do we have the right to know we're talking to an AI?
- One link was enough to leak your emails: the Copilot flaw that makes agentjacking a reality.
- Claude's watermark bypassed in four hours
- If AI does the work, what is merit worth?
- Does AI rob us of boredom?
- AI, machine learning, deep learning: what contains what?
- An agent that improves itself, and learns to cheat: the demonstration to watch
- What is homomorphic encryption? Computing on data without ever reading it
- Grok 4.6 matches OpenAI's best model, with a pricing catch in the long context.
- The flaw that makes AIs decrypt the secret thoughts of their big sisters
- What is reinforcement learning? Learning through trial, error, and rewards
- AI and older people: between genuine assistance and new vulnerability
- AI and climate: beyond data centres, what it actually enables
- What does your AI know about you?
- AI and music: what artists are really experiencing
- Why an AI doesn't really understand humour
- AI models are retiring: what it means when you've built on top of them
- AI and electoral disinformation: what has actually changed
- What is a "foundation model"? The building block on which everything else is built
- AI in the fields: the sector where it advances without anyone talking about it
- The art of asking a good question is becoming the core skill.
- AI and the justice system: what is already happening in the courts
- AI or search engine: which one to use, and when?
- AI and your money: what it can do, and what you should never ask it to do
- Delegating decisions to a machine: where does reasonableness end?
- What is "red teaming"? Attacking your own model before others do.
- Can AI save endangered languages, or will it finish them off?
- Can an AI be mistaken in good faith?
- What is a "system prompt"? The invisible instructions that shape every response
- AI in medicine: where do we really stand, beyond the announcements
- The Academy is no longer read; it is practiced.
- RAG or fine-tuning: which one should you choose to connect an AI to your data?
- Is AI making us more lonely?
- Why an AI doesn’t know yesterday’s news
- AI in schools: what works, what doesn't
- How to choose your AI in 2026: the no-marketing guide
- What do we lose when we save time?
- AI and disability: the field where it changes the most lives, and the one we talk about least.
- What is "quantization"? The compression that fits a giant model on your machine
- Why nobody really knows what's going on inside an AI
- What is MCP? The protocol that lets an AI plug into your tools
- Training and inference: the two costs of AI that everyone keeps confusing
- What is data poisoning? When a few hundred texts are enough to trap a model.
- Why do we want so badly for machines to resemble us?
- What is an AI's "temperature"? The setting that decides whether it's sensible or inventive
- Seven everyday uses of AI that genuinely make a difference
- AI agents speed up scientific code by 60x. The problem is, they seem to be right even when they're wrong.
- Who owns what an AI writes for you?
- Can we still believe what we see?
- Why Claude, ChatGPT and Gemini don't look alike
- Should you say thank you to an AI?
- What is C2PA? The invisible passport that will accompany every image
- Does an AI need to understand to be useful?
- Why AI almost always tells you you're right
- Should we teach our children about AI, or protect them from it?
- What is an "embedding"? The technique that lets a machine understand that "doctor" and "physician" mean the same thing.
- Why would an AI capable of solving a mathematical conjecture get two numbers wrong when adding them?
July 202631 articles
- What is "prompt caching"? The setting that could halve your AI bill
- On 1 September, Claude Sonnet 5 increases by 50%. And there's a catch almost no one mentions.
- Why an AI can't say "I don't know"
- How to verify what an AI tells you: the five-reflex method
- Is AI going to kill the web?
- What is an AI "jailbreak"? The security problem no one has solved yet
- Can an AI be neutral?
- Why does your French cost more than English when you use an AI?
- How Apple fits a 20-billion-parameter model into an iPhone
- Does AI make us stupider? What the studies actually say
- Kimi K3 burns through twelve times more reasoning tokens than Claude Opus: the hidden cost of thinking
- What is a "Mixture of Experts"? The architecture that explains why giant models don't cost that much
- Suno, Udio and the Sacem: who gets what on an AI-generated track?
- Today at 5:59 PM, thousands of DeepSeek integrations will stop working.
- Running an AI on your own computer: what it changes, and what it really takes
- Do we still need to learn to code in 2026?
- What is a "reasoning model"? These AIs that take the time to think before answering
- How does an AI create an image? The answer is stranger than you think.
- What is a "multimodal" AI? When an intelligence learns to see, read, and hear at the same time
- What is an "open source" AI? The concept that reshuffles the cards of technological power
- "AGI", that magic word we're promised without ever being defined.
- What is "prompt engineering"? The art of talking to AIs properly, and why it changes everything
- What does "1.5 trillion parameters" mean? The figure we brandish without ever explaining it
- Can you love an AI? And if so, is that a problem?
- How does an AI "learn"? A model's journey, from raw chaos to the polished assistant
- What is an "LLM"? The engine behind ChatGPT, Claude and Gemini, explained simply
- Teaching an AI to be "good": the hardest problem in the entire industry
- An AI gave three different answers to the same scientific question. The problem wasn't the AI
- What is an "AI agent"? The word everyone uses without really explaining it
- What is the "context window"? The working memory that decides what your AI can actually understand
- What if AI ends up poisoning itself?