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Bitcoin is flirting with sixty-five thousand dollars, and the catalyst isn't crypto-native — it's a cooler-than-expected inflation print. June's CPI report sent Fed rate-hike odds tumbling from forty-three percent down to thirteen, with traders now repositioning ahead of the September meeting.
Shifting from markets to machines, the United Nations Secretary General António Guterres is calling for a global ban on lethal autonomous weapons, describing so-called killer robots as morally repugnant. His argument is straightforward: delegating life-and-death decisions to algorithms isn't a future problem — it's a present one, and governments shouldn't wait for a catastrophe to find out why.
And on a quieter but important research front, a large-scale study out of academia is examining what researchers are calling hallucinated skills — essentially, capabilities that AI systems claim to have but don't actually possess. It's a systematic look at a problem that sits at the heart of how much we can trust these models in real-world deployments.
Three very different stories, one common thread: the gap between what technology promises and what it actually delivers. Keep surfing. Tech Beat out.
