🧨 Zero-day AI attack era & the wobbling ad machine
Security people are genuinely rattled right now: autonomous AI agents aren’t just poking at bugs anymore - they can launch full-blown, tailored, practically invisible cyberattacks. That’s a leap scarier than your average exploit.
Meanwhile, Google’s funnel of traffic to publishers keeps thinning (AI snippets siphoning the clicks like slow leaks in a pipe). Advertisers, on the flip side, can’t stop grinning - multimodal ad formats have them buzzing. Analysts even whisper that U.S. AI ad spend could balloon by 2029.
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💻 UK government coders claw back nearly a month each year
Across 50 government departments, a big AI assistant trial shows coders reclaiming about 28 working days annually - basically close to an hour shaved off every shift.
Officials are already talking in big numbers: efficiency savings on the order of £45 billion. Bold, maybe even brash. But if they’re right, that’s serious money, not just loose change in the sofa.
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🇬🇧 Nvidia + OpenAI circling a UK mega-play
Chatter’s thick: Nvidia and OpenAI are supposedly lining up a multi-billion-pound dive into UK data centers. The pitch is clear - homegrown AI horsepower, less tethered to U.S. or EU clouds.
Some say the announcement could even be choreographed to land during a state visit… a PR moment dressed up like a tech power play.
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🔍 Insurance world hits the same old wall: bad data
More than half of UK underwriters openly admit it - data quality is wrecking their AI adoption plans. It’s not the lack of cutting-edge tools; it’s the jumbled spreadsheets, patchy records, and half-missing case histories going in.
Classic “garbage in, garbage out.” And AI, for all its shine, doesn’t have a magic wand for sloppy inputs.
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🏛 University of Utah stakes a claim in the AI game
Utah’s flagship university just struck partnerships with two tech giants to juice its AI research ecosystem. We’re talking: shared labs, pooled infrastructure, co-designed projects.
Feels like a familiar playbook - U.S. universities racing to badge themselves as AI hubs. But who saw Utah emerging as a serious contender?
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