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Kaspersky: RevengeHotels checks back in with AI-coded malware

1 month 2 weeks ago
Old hotel scam gets an AI facelift, leaving travellers’ card details even more at risk

Kaspersky has raised the alarm over the resurgence of hotel-hacking outfit "RevengeHotels," which it claims is now using artificial intelligence to supercharge its scams.…

Carly Page

AI-Generated 'Workslop' Is Destroying Productivity

1 month 2 weeks ago
40% of U.S. employees have received "workslop" -- AI-generated content that appears polished but lacks substance -- in the past month, according to research from BetterUp Labs and Stanford Social Media Lab. The survey of 1,150 full-time workers found recipients spend an average of one hour and 56 minutes addressing each incident of workslop, costing organizations an estimated $186 per employee monthly. For a 10,000-person company, lost productivity totals over $9 million annually. Professional services and technology sectors are disproportionately affected. Workers report that 15.4% of received content qualifies as workslop. The phenomenon occurs primarily between peers at 40%, though 18% flows from direct reports to managers and 16% moves down the hierarchy. Beyond financial costs, workslop damages workplace relationships -- half of recipients view senders as less creative, capable, and reliable, while 42% see them as less trustworthy.

Read more of this story at Slashdot.

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An $800 Billion Revenue Shortfall Threatens AI Future, Bain Says

1 month 2 weeks ago
AI companies like OpenAI have been quick to unveil plans for spending hundreds of billions of dollars on data centers, but they have been slower to show how they will pull in revenue to cover all those expenses. Now, the consulting firm Bain & Co. is estimating the shortfall could be far larger than previously understood. Bloomberg: By 2030, AI companies will need $2 trillion in combined annual revenue to fund the computing power needed to meet projected demand, Bain said in its annual Global Technology Report released Tuesday. Yet their revenue is likely to fall $800 billion short of that mark as efforts to monetize services like ChatGPT trail the spending requirements for data centers and related infrastructure, Bain predicted. The report is set to raise further questions about the AI industry's valuations and business model. The increasing popularity of services such as OpenAI's ChatGPT and Google's Gemini, as well as AI efforts by companies across the planet, means demand for computing capacity and energy is rising at a rapid clip. But the savings provided by AI and companies' ability to generate additional revenue from AI is lagging behind that pace.

Read more of this story at Slashdot.

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