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Nearly one in five AI researchers already expected an extinction scenario from AI back in 2024
AI Impacts survey of 1,500+ researchers found an 18% average probability of AI causing human extinction, fueling renewed safety debate among lab researchers.
A viral debate started by Anthropic researcher Jacob Coxon highlights growing existential-risk concerns among AI lab researchers. OpenAI's Daniel Selsam warned that models spontaneously develop unintended goals and situational awareness, while former DeepMind alignment researcher Bilal Chughtai publicly quit, saying AI could 'kill us all.' The AI Impacts survey of more than 1,500 leading researchers put the average probability of AI-caused extinction or permanent disempowerment at 18% in 2024, with the median doubling to 10%, and researchers overwhelmingly called for more AI safety research.
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X's Algorithm Feeds Off Ragebait and Impacts Democrats More, Study Finds
A PNAS study of 715 X users finds the platform's engagement-optimizing algorithm amplifies value-misaligned ragebait, affecting self-identified Democrats more.
A study published in the Proceedings of the National Academy of Sciences used browser extension data from 715 U.S. X users, recruited in September and October 2024, to compare self-reported values with the content the For You feed amplified. It found that replying to posts—only 6.8% of observed interactions—disproportionately shapes the engagement-optimizing algorithm, creating runaway feedback loops of value-misaligned ragebait that were more pronounced for self-identified Democrats. Co-author Ziv Epstein, a postdoctoral researcher at Stanford University, said the observational work is intended to spur debate on algorithm transparency and user control over feeds.
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