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At the doctor’s surgery, at the bank, at home, at work, in the car, out in the streets… data is everywhere in our daily lives. A staggering increase in the amount of data worldwide has opened up new and extensive potential uses for individuals, the economy and society. Yet there are still questions to be answered: why and how do we collect, process, use and ensure the safety of this data?

Open Source: AI Slop Triggers a Governance and Attention Crisis for Maintainers

● Generative AI has reduced the cost of producing a seemingly credible contribution to virtually zero, eliminating the friction that historically ensured the credibility of open-source contributors.
● The result: an “attention DDoS” (distributed denial of service) that exhausts maintainers, who are forced to spend hours sifting through code generated in a matter of seconds. For Philippe Ensarguet, the solution does not lie in rejecting AI but in a new social contract and new practices, with a view to ensuring the sustainability of open-source projects: prioritizing triage, review, and documentation over lines of code.
● Without this, the ecosystem may drift toward one of the three scenarios he describes: walled gardens, a verification layer, or a bifurcation between locked-down critical infrastructure and application repositories left to automation.
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At VivaTech 2026, digital twins combined with agent-based AI are making networks smarter

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At ChangeNow, Socially Conscious Startups Use AI to Turn Data into Concrete Action

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Artificial intelligence: how neocloud companies have revolutionized the cloud computing market

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Advanced Persistent Threats (APTs): Jean-Marie Mélé and Orange’s drive to structure cybersecurity

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DNA data storage: an archivist’s dream come true

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