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Artificial intelligence in practice — what it changes, who it concentrates power for, and how it lands in the businesses and policies of the technology economy.
922 articles · Artificial Intelligence (AI)
Article 14 requires effective oversight of high-risk AI systems by natural persons, and Article 26 requires deployers to assign that oversight. The law does not impose one universal approval step for every output.
Updated payroll data point to a widening early-career employment gap in AI-exposed work, driven more by reduced hiring than by layoffs.
A RAND survey found rapid growth in students’ homework AI use alongside rising concern about critical thinking and a fragmented school policy landscape.
GPT-4 beat the human average on a large divergent-association benchmark, but the upper half of the 100,000-person sample still outscored every model tested, revealing a very different human–AI creativity story in the tail.
Early workplace studies suggest generative AI can sharply steepen the learning curve for novices, while offering much smaller gains to experts.
Generative AI is compressing parts of software, finance and legal work before general-purpose factory robots have reached broad, economic deployment.
Google’s ATLAS dataset suggests most observed cognitive work with AI is collaborative, but its scope and enterprise exclusions limit what the finding proves.
The four tech giants betting their futures on AI are doubling down: nearly three-quarters of a trillion dollars in infrastructure spending by 2026, but the payoff remains stubbornly unclear.
The architects of AI's most powerful systems face a humbling limitation: they cannot fully explain their own creations' reasoning, even when they understand every line of code.
The settlement freezes a pivotal moment in AI law: Anthropic avoids a jury trial while a controversial fair-use precedent survives unchallenged.
The gaming industry's AI reckoning isn't about replacing workers—it's about eliminating the rungs on the ladder that once led there.
The prevailing story about AI in a disaster zone is that it belongs to governments and large NGOs: satellite imagery pipelines at FEMA, damage models at the World Bank, logistics dashboards at the UN. When twin earthquakes reportedly ripped through northern Venezuela last month, that story broke.
