Tuesday, August 19

Tag: Reddit

Can A.I. be Moral? - AC Grayling
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Can A.I. be Moral? – AC Grayling

Philosopher A.C. Grayling joins me for a deep and wide-ranging conversation on artificial intelligence, AI safety, control vs motivation/care, moral progress and the future of meaning. From the nature of understanding and empathy to the asymmetry between biological minds and artificial systems, Grayling explores whether AI could ever truly care — or whether it risks replacing wisdom with optimisation. We discuss: – AI and moral judgement – Understanding vs data processing – The challenge of aligning AI with values worth caring about – Whether a post-scarcity world makes us freer — or more lost – The danger of treating moral progress as inevitable – Molochian dynamics and race conditions in AI development submitted by /u/adam_ford [link] [comments]
I’ve Been a Plumber for 10 Years, and Now Tech Bros Think I’ve Got the Safest Job on Earth?
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I’ve Been a Plumber for 10 Years, and Now Tech Bros Think I’ve Got the Safest Job on Earth?

I've been a plumber for over 10 years, and recently I can't escape hearing the word "plumber" everywhere, not because of more burst pipes or flooding bathrooms, but because tech bros and media personalities keep calling plumbing "the last job AI can't replace." It's surreal seeing my hands on, wrench turning trade suddenly held up as humanity’s final stand against automation. Am I supposed to feel grateful that AI won't be taking over my job anytime soon? Or should I feel a bit jealous that everyone else’s work seems to be getting easier thanks to AI, while I'm still wrestling pipes under sinks just like always? submitted by /u/MountainManPlumbing [link] [comments]
Why forecasting AI performance is tricky: the following 4 trends fit the observed data equally as well
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Why forecasting AI performance is tricky: the following 4 trends fit the observed data equally as well

I was trying to replicate a forecast found on AI 2007 and thought it'd be worth pointing out that any number of trends could fit what we've observed so far with performance gains in AI, and at this juncture we can't use goodness of fit to differentiate between them. Here's a breakdown of what you're seeing: The blue line roughly coincides with AI 2027's "benchmark-and-gaps" approach to forecasting when we'll have a super coder. 1.5 is the line where a model would supposedly beat 95% of humans on the same task (although it's a bit of a stretch given that they're using the max score obtained on multiple runs by the same model, not a mean or median). Green and orange are the same type of logistic curve where different carrying capacities are chosen. As you can see, assumptions made abo...
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