When a covert Russian influence operation was recently dismantled, the focus fell on the tools used—specifically, ChatGPT. But a closer look at the operation reveals a more unsettling truth: the real vulnerability isn't the AI itself, but the human tendency to trust anything that looks like a
The moment a machine finds and fixes thirteen security flaws on a personal website in just over an hour, the clock starts ticking on the era of human-written code in enterprise security. This is not a distant future scenario—it is what happened when OpenAI’s latest model was
A quiet but significant shift is underway in how startups deploy artificial intelligence. The era of using the most powerful, most expensive model for every single task is ending. Instead, a growing number of builders are discovering that for routine, high-volume jobs—like pulling text out of a scanned
OpenAI
The quiet but relentless shift from open web access to mandatory identity checks has arrived at a new frontier: the simple act of reading a news article or visiting a tech website now routinely triggers automated identity verification. What was once reserved for banking portals or email logins is now
OpenAI
When SoftBank and SB Energy committed more than $4 billion to build at least 10 gigawatts of brand-new energy generation for a single data center in Ohio, they weren't just solving a power problem. They were signaling a fundamental shift in how the AI industry thinks about
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When a journalist asked Claude AI to build a Breakout-style game, the request consumed nearly all of the free tier's daily token allowance in a single five-minute session. The incident highlights how quickly generative AI tools can burn through usage limits, even for seemingly simple tasks.
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Tech platforms are rolling out new ways to label and block AI-generated content, a quiet response to growing user anger over what many now call "AI slop." The moves come as surveys show the public's trust in artificial intelligence is falling, especially among younger users.
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The structural disconnect between how the federal government funds new technology and how it sustains that technology over time is quietly starving the budgets needed to reinforce AI adoption once systems go live. According to a recent analysis by Bob Etris, managing partner of Evans, appropriations cycles create a situation
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