Manny Moss
@emoss.bsky.social
Senior Research Scientist - Anthropology of AI and Computing
Reposted by Manny Moss
Artificial intelligence didn’t used to be the obvious answer to every problem, notes @emoss.bsky.social. But AI approaches have moved into domains such as medicine, criminal justice, materials science, e-commerce, and more.
Why is this so?
Why is this so?
Toward a Realpolitik for AI
Today’s AI arms race demands a healthy dose of realism.
www.publicbooks.org
June 10, 2025 at 8:07 PM
Artificial intelligence didn’t used to be the obvious answer to every problem, notes @emoss.bsky.social. But AI approaches have moved into domains such as medicine, criminal justice, materials science, e-commerce, and more.
Why is this so?
Why is this so?
New from me in @publicbooks.bsky.social ' Technology section: "Toward a Realpolitik of AI" reviews three excellent books by @bialski.bsky.social , @randomwalker.bsky.social and @sayash.bsky.social , and @garymarcus.bsky.social .
Toward a Realpolitik for AI - Public Books
Today’s AI arms race demands a healthy dose of realism.
www.publicbooks.org
June 10, 2025 at 8:44 PM
New from me in @publicbooks.bsky.social ' Technology section: "Toward a Realpolitik of AI" reviews three excellent books by @bialski.bsky.social , @randomwalker.bsky.social and @sayash.bsky.social , and @garymarcus.bsky.social .
Economics
What's something that seems scientific but isn't?
I’ll go first: much of AI research at that attempts to “solve” complex socio-cultural “problems”
I’ll go first: much of AI research at that attempts to “solve” complex socio-cultural “problems”
February 21, 2025 at 6:43 PM
Economics
Such a necessary, timely, well-made argument that pulls focus back to where it should be: actual harms.
But also, putting Bayesian thinking in its appropriate place by pointing out how using Bayesian statistics is good when you can ground your expectations in actual reality and bad when you cannot.
But also, putting Bayesian thinking in its appropriate place by pointing out how using Bayesian statistics is good when you can ground your expectations in actual reality and bad when you cannot.
Some AI enthusiasts fantasize about chatbots' potential future suffering. But David McNeill and Emily Tucker say there are many good reasons to reject the claim that contemporary AI research is on its way toward creating genuinely intelligent, much less conscious, machines.
Suffering is Real. AI Consciousness is Not. | TechPolicy.Press
Probabilistic generalizations based on internet content are not steps toward algorithmic moral personhood, write David McNeill and Emily Tucker.
buff.ly
February 19, 2025 at 3:22 PM
Such a necessary, timely, well-made argument that pulls focus back to where it should be: actual harms.
But also, putting Bayesian thinking in its appropriate place by pointing out how using Bayesian statistics is good when you can ground your expectations in actual reality and bad when you cannot.
But also, putting Bayesian thinking in its appropriate place by pointing out how using Bayesian statistics is good when you can ground your expectations in actual reality and bad when you cannot.
So if I understand this argument correctly, AI is inaccurate, insecure, and unaccountable. Therefore … the US military should build its own.
www.nytimes.com/2025/01/27/o...
www.nytimes.com/2025/01/27/o...
Opinion | Our Military Is Adopting A.I. Way Too Fast
The military is integrating A.I. into its deadly systems too quickly, and Trump will only accelerate a dangerous situation.
www.nytimes.com
January 27, 2025 at 1:09 PM
So if I understand this argument correctly, AI is inaccurate, insecure, and unaccountable. Therefore … the US military should build its own.
www.nytimes.com/2025/01/27/o...
www.nytimes.com/2025/01/27/o...