Benj Edwards at Ars Technica:
Employers are drowning in AI-generated job applications, with LinkedIn now processing 11,000 submissions per minute—a 45 percent surge from last year, according to new data reported by The New York Times.
Due to AI, the traditional hiring process has become overwhelmed with automated noise. It’s the résumé equivalent of AI slop—call it “hiring slop,” perhaps—that currently haunts social media and the web with sensational pictures and misleading information. The flood of ChatGPT-crafted résumés and bot-submitted applications has created an arms race between job seekers and employers, with both sides deploying increasingly sophisticated AI tools in a bot-versus-bot standoff that is quickly spiraling out of control.
The Times illustrates the scale of the problem with the story of an HR consultant named Katie Tanner, who was so inundated with over 1,200 applications for a single remote role that she had to remove the post entirely and was still sorting through the applications three months later.
In an age where ChatGPT can insert every keyword from a job description into a résumé with a simple prompt, her story is not unique.
More here.
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A few months ago, on the New York subway, I looked up at the woman sitting opposite me, and found my eyes drawn to her cap: “I don’t give a F**K,” read big white letters stitched into navy blue cotton.
A deep brain device that allowed a man with no limbs to play computer games is one of an increasing number of
Moments before I hop into my first Waymo in Austin, Texas, the driverless car is already locked in a standoff with a human rival. I’ve hailed the car in a tricky triangular parking lot in the middle of a big intersection, hoping to hitch a ride downtown. After about six minutes of waiting, I see it approaching: a hulking white all-electric Jaguar SUV with whirring sensors on all sides, conjuring a rhinoceros with hummingbird wings. But when the Waymo enters the lot, it takes far too wide of a turn, and finds itself nose-to-nose with a pickup truck driver trying to exit. The driver glares at the Waymo, but sees nobody through the front windshield. For a second, man and machine face off in a very mundane version of The Terminator.

No, this is no hound. It’s just a dog.
His name was Peter Putnam. He was a physicist who’d hung out with Albert Einstein, John Archibald Wheeler, and Niels Bohr, and two blocks from the crash, in his run-down apartment, where his partner, Claude, was startled by a screech, were thousands of typed pages containing a groundbreaking new theory of the mind.
In 2023, Sam Altman embarked on a world tour, meeting with heads of state to discuss AI regulation. According to Time’s
If to err is human, then so too is to regret. At least if we follow Paddy McQueen in his recent book about the nature, normativity, and politics of regret. According to McQueen, regret is, roughly, a painful feeling of self-reproach or self-recrimination for making a “mistake” (21). Like all emotions, regret is more than just a judgment, though it has a constitutive thought type (i.e., “I have made a mistake”), which can be realized by many different token thoughts (e.g., “I wish I had not done that”, “I should have acted differently” or “what an idiot I am!”). Regret’s “phenomenological core” is the feeling of “kicking oneself” or “beating oneself up” for a mistake (21). Regret directs our attention to the mistake in decision-making we have made and motivates us to avoid making the same kind of mistake in the future (72, 136).
“Unwilling to portray themselves as victims (cringe, politically wrong), or as aggressors (toxic masculinity), unable to assume the authentic voices of others (appropriation), younger white men are no longer capable of describing the world around them,” Savage, who is 41, wrote. What they do write, he added, avoids “grappling directly with the complicated nature of their own experience in contemporary America.”
Some people have a gift
“How would you feel about living in another country?”