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ARD/ZDF media study: AI tools have arrived, but people still want to check the output

59 percent of people in Germany aged 14 and over use AI tools at least occasionally, according to the ARD/ZDF media study 2026. Among 14- to 29-year-olds the figure is 92 percent, among those over 70 just 15. Hardly anyone trusts the tools blindly, though: 54 percent see them as instruments whose output has to be checked when in doubt. 81 percent consider source attribution important or very important, yet only 43 percent of users find the sources behind AI tools transparent.

Our take: the study answers a question that comes up in every AI project – how much automation people are willing to hand to an AI. They already use it; they just want to keep the final say. That is why we build systems in which the machine proposes, shows its sources, and a person approves. Not out of excess caution, but because that is what users expect.

Read the report on zdfheute (German)
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David Gorges, Managing Director

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Mistral Large 4: Europe's answer to the frontier models

Mistral released Large 4 as a public preview today. It is a 1.05-trillion-parameter Mixture-of-Experts model with 49B active parameters, text and vision input and a one-million-token context window. Mistral trained it from scratch on 3,800 Nvidia Grace Blackwell GPUs in its own European datacenters and runs it there, end to end, under European law. The weights are due as open weights by the end of October.

It doesn't quite match the leading US models, but if you need your data and your provider to stay in Europe, it is the first serious option at this size.

Read Mistral's announcement

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