2) Same white dude goes around talking about "humanity" & existential risks & says that his concerns are much more important for humanity This summarizes the state of where we are.
ETHICS
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White male leadership dismisses discrimination concerns via closed-door consultation
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1) White dude consults with other "trusted white dudes" about issues of discrimination that I raised and decided to keep quiet based on "conflicting accounts" from his fellow "trusted colleagues" ….
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Hinton’s hypothetical risks overshadow present AI discrimination concerns
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Alt text continued cause there's a 1k limit "…than bias and discrimination, even though bias and discrimination are happening now and need to be confronted urgently.” In other words, Hinton maintains that he’s more concerned about his hypothetical than the present reality."
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AI Safety Discourse and the Doomer Debate in Research
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Thank you to Lorena for writing this article, highlighting our works and showing that this is a collective effort. I like that you didn't equivocate about the fact that I was fired. The part about Hinton was such a great example of where we are with the doomers
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XR Leadership: Prioritizing People Over Technology
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One big thing this talk made clear to me: @starrdlux is a pioneer we should all follow. Great leadership of the #DEFCON31 @xrvillage
. Her approach: lead with an understanding that XR is about people not tech. -
Exploitation Mode: The Illusion of Progress Through Scaling
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Going into exploitation mode (scaling up what works) can give you the illusion of fast progress when you're looking at the wrong metrics. Like "solving" air travel by forever scaling up a hydrogen zeppelin. It may seem like you can cover ever greater distances, but you're still
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Deep Learning Limitations Unchanged Since 2017
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Re-reading an article I wrote in 2017, and I'm finding I could have written it yesterday. It's fascinating how the limitations of deep learning have stayed the same since. Same problems, same failure modes, no progress.
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Criticism of LLM-Generated History Timeline for Autonomize Inc
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Check out this history timeline about Autonomize, Inc > the kind of bullshit these LLMs spew! #fail https://
historytimelines.co/timeline/auton
omize-inc
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Media bias: forced positivity narratives despite documented AI harms
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It's part and parcel of that annoying trope of having to pay lip-service to the supposed up-sides of "AI" even in reporting about the actual (documented, really happening) harms & risks of further harm. >>
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AI Marketing Talking Points: Disease Cures and Climate Solutions
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Anyone noticed that when folks get even a little specific about the supposed benefits of "AI" the call outs are often "curing disease" (sometimes specifically cancer and/or Alzheimer's) & "addressing climate change"? I'm hearing it enough to wonder where the talking pts come from