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The article highlights a critical tension between rapid AI scaling and the simultaneous defunding of baseline security protocols, driven by a "race to the bottom" mentality among executives. This dynamic underscores a significant gap in AI safety governance where existential risk warnings are not translating into proportional investment in defensive infrastructure. For readers focused on alignment and robustness, this represents a systemic vulnerability that could amplify potential harms as models grow larger.
Why a decade of doomsday warnings failed to slow the AI race
While AI company executives warn about the threat their technology poses, they are cutting investment in baseline security protocols, says AI Now's Sarah Myers West. The post Why a decade of doomsday warnings failed to slow the AI race appeared first on AI Now Institute.
The underlying premise of each of these firms is that AI is “only safe in their hands” and that if they don’t build it, someone else will, said Sarah Myers West, co-executive director of the AI Now Institute, which studies the impacts of AI. That paranoia is fueling a race to the bottom, she argued.
“They are investing literally billions of dollars in building AI at a larger and larger scale, and the first thing that gets cut is meaningful investment in baseline security protocols,” Myers West said.
Read the article here.
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