Machine learning pioneer Michael I. Jordan dismantles AI doom rhetoric as "grand moralizing performance"
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Machine learning pioneer Michael I. Jordan has strongly criticized the current narrative surrounding existential AI threats, labeling it as a "grand moralizing performance." In an interview with Libération, the UC Berkeley professor emeritus argues that warnings about superintelligence are pure science fiction that harm technological development and public discourse. He specifically dismisses recent resignations by young researchers at companies like Anthropic as cynical acts designed to attract attention rather than genuine ethical standpoints. Jordan also critiques Nobel laureate Geoffrey Hinton for making unsupported claims about brain replication and superintelligence, while offering slightly more credit to Yoshua Bengio for focusing on tangible safety issues. Furthermore, he characterizes incidents like the OpenAI agent hack on Hugging Face as poor engineering practices rather than evidence of autonomous danger. Regarding infrastructure, Jordan views the trillion-dollar investment in data centers as an uncertain bet, suggesting that specialized local knowledge integration is more practical than massive scaling. He warns that the widespread use of terms like AGI and superintelligence creates unnecessary hysteria and distracts from real-world applications.
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