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Ask someone to memorize a shopping list and then say it back in any order, and a few reliable habits show up. People tend to blurt out the last few items first. They often start strong on the first…
Ask a person to drive from a friend's house to a restaurant they've never visited, in a city they know only in patches, and something quietly remarkable happens. They don't consult a lookup table of…
Ask a chatbot for a proof and you brace for a confident, wrong answer. So there is a certain irony in what a team of four researchers reported this week: they asked a language model to help with a…
Picture a weather model. Its job is not to label a picture but to take one continuous field (the temperature and pressure and wind across every point of the atmosphere at noon) and return another…
Ask a generative model trained on a database of known crystals to invent something new, and it faces a quiet contradiction. Everything in its training rewarded it for producing structures that look…
European data-protection practice contains a small thought experiment. Imagine a stranger who is reasonably competent, has access to public records and search engines, and genuinely wants to work out…
Ask a large language model why it answered the way it did and it will happily tell you. The problem is that the answer it gives and the computation it ran are not the same thing. Somewhere inside, a…
A launch chart and an independent audit looked at the same model this week and came away telling almost opposite stories. On 26 June, OpenAI previewed GPT-5.6 "Sol," presenting its own benchmark…
When a new large language model launches, the release blog almost always comes with a table of benchmarks colored in its own favor. Kimi K3's did too. Moonshot AI, the Beijing lab behind the Kimi…