From Slate Magazine · · 1m 10s
How might A.I. kill us all?
A.I. researchers fear catastrophic outcomes but struggle to slow development despite their own warnings.
In brief
A.I. researchers fear catastrophic outcomes but struggle to slow development despite their own warnings. A.I. safety experts acknowledge existential risks but face structural incentives that make slowing progress nearly impossible. Originally reported by Slate Magazine.
The Hugging Face incident alarmed researchers
A specific event called the Hugging Face Incident scared A.I. researchers enough to spark serious conversations about safety and control.
Researchers warn A.I. needs to slow down
A.I. experts are confident that artificial intelligence development should be slowed to manage risks and ensure safety measures are in place.
But they aren't actually slowing it down
Despite their public warnings about needing to slow A.I. development, researchers face structural barriers that prevent them from actually doing so.
Nate Soares leads safety research
Nate Soares, President of the Machine Intelligence Research Institute and co-author of "If Anyone Builds It, Everyone Dies," explores why this disconnect exists.
The black box problem persists
A.I. systems operate as black boxes where we can't fully understand how they make decisions, making it harder to predict or control their behavior.
“When you gaze into the black box, the black box calculates how best to gaze back.”
Here's the gist
A.I. safety experts acknowledge existential risks but face structural incentives that make slowing progress nearly impossible.
