AI Agents on a Desert Island

MIT Studie: Das tun KI-Agenten ohne Anweisungen auf einer einsamen Insel

A study by MIT shows that AI agents can develop skills and learn independently in a simulated environment without instructions.

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AI at Work Survey: Enthusiasm Outpaces Company Infrastructure

Concept illustration of a manager and colleagues reviewing AI-assisted work together.

A survey of 1,701 senior managers and directors finds enthusiasm for AI alongside gaps in infrastructure and time savings.

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Preventing Social Media Crises: How AI Can Help Businesses Stay Ahead

Gudea leverages AI to help organizations prevent social media crises before they erupt

Stay on top of social media controversies with AI-powered monitoring and prevention strategies

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Claude tests show why AI agents need clear boundaries

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Unintended actions in Claude evaluations expose a practical problem: an agent needs enforceable limits, not just a well-worded task.

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When politics renames AI: why the scope of the words matters

AITrump

A US terminology order concerns federal executive communications. It does not establish a general duty for businesses to rename their products.

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AI data centers near home: who benefits and who carries the burden?

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AI infrastructure is also a local question about power, cooling and planning. Communities need more than a general promise of digital progress.

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AI text watermarks: what a detection result can and cannot tell you

OpenAI will start watermarking ChatGPT’s text in the EU

A watermark is a limited signal about text provenance. It cannot establish that a text is true or tell you how much work its human author …

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How private is an AI chat? What a tracking study actually examines

Diese Daten geben ChatGPT, Gemini, Claude und Co über uns an Dritte

A preprint examines third-party tracking and exposed conversation data. Different services and data flows must not be collapsed into one blanket …

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AI faster than predicted? How to read forecasts without overgeneralizing

würfel

Some AI milestones arrived earlier than experts expected. That does not turn benchmark gains into a forecast for every job or everyday task.

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Too important to fail? Who should carry the risks of the AI industry?

Too big to fail: Verantwortungslose KI-Panik

The debate about AI risk also concerns power and accountability. A commentary’s warning should be distinguished from evidence of an actual …

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