The Hugging Face hack
That is the topic of my latest Free Press column. Some people are taking this in very dramatic fashion: One commentator is worried about a “full-blown AI takeover within months,” and another wrote that he was “feeling a bit sad about our impending extinction.” Nate Soares, who works in the AI safety movement and is co-author of the doomsday […] The post The Hugging Face hack appeared first on…
This story features a recent incident involving the AI platform Hugging Face. Some observers are reacting with alarm, with one commentator warning of an "AI takeover within months" and another expressing concern about our "impending extinction." Nate Soares, a figure in the AI safety movement, stated that "This might be the last warning we get."
However, the author of this piece suggests a more measured approach, advocating for a "technocratic" strategy that involves coordinated national and international efforts to prevent powerful AI models from going rogue in the future. This course of action is likely to be costly and there is no guaranteed solution for every expenditure.
The author argues that people are often falling into the trap of hysterical, anecdotal reasoning and emotional reactions, rather than relying on quantitative estimates and scientific reasoning. Historical examples, such as DDT, Y2K, global warming, Covid, thalidomide babies, and nuclear power, are used to illustrate how society has overreacted in the past, sometimes unnecessarily.
The author cautions against exaggerating the potential cybersecurity risks posed by advanced AI, suggesting that such risks are unlikely to be as severe as other global issues. Instead, the author urges those discussing the problem to provide quantitative estimates of the cybersecurity costs associated with advanced AI, ideally expressed as a percentage of the nation's gross domestic product. This would help to put the potential costs into perspective and guide policy decisions.
Written by urgent.news from Marginal Revolution's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
