"Running a Big Tech company during Silicon Valley's AI mania may not necessarily require fewer workers or cost less," writes the Washington Post: Amazon, Google and Meta together have roughly the same number of employees now as they did during an industry-wide hiring binge in 2022, company disclosures show. Growing costs for technical workers and related expenses have often outpaced sales recently. The tech giants' big AI bet hasn't yet paid for itself. That means AI might be killing jobs not through its labor-saving wizardry but by increasing spending so much that CEOs are pressured to find savings, giving them cover to consciously uncouple from their workforces. Marc Andreessen, a prominent start-up investor and a Meta board director, put it bluntly on a recent podcast. Big company layoffs are a fix for overstaffing and changing economic conditions, he said, but AI provides a convenient scapegoat. "Now they all have the silver bullet excuse: 'Ah, it's AI,'" he said... "Almost every company that does layoffs is blaming AI, whether or not it really is about AI," Sam Altman, CEO of ChatGPT owner OpenAI, said at a March conference when he listed explanations for AI's unpopularity in the United States. "Recent history suggests Big Tech companies might not be moving toward a future with fewer workers," the article concludes, "but recalibrating to spend the same, or more, on different people and projects." So in the end, "AI might soon reduce hiring," the article acknowledges, "But the reluctance or inability of the largest tech firms to cut too deeply so far could also show that the path to making a workforce AI-ready — whatever that means — isn't a predictable straight line charting declining headcount."

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Slashdot reader joshuark writes: Scientific American reports that a ChatGPT AI has proved a conjecture with a method no human had developed. A 23-year-old student Liam Price just cracked a 60-year-old problem that world-class mathematicians have tried and failed to solve. The new solution that Price got in response to a single prompt to GPT-5.4 Pro was posted on www.erdosproblems.com, a website devoted to the Erds problems. The question Price solved — or prompted ChatGPT to solve—concerns special sets of whole numbers, where no number in the set can be evenly divided by any other... Price sent it to his occasional collaborator Kevin Barreto, a second-year undergraduate in mathematics at the University of Cambridge. The duo had jump-started the AI-for-Erds craze late last year by prompting a free version of ChatGPT with open problems chosen at random from the Erds problems website. Reviewing Price's message, Barreto realized what they had was special, and experts whom he notified quickly took notice.

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