Meta’s director of AI safety and alignment, Summer Yue, accidentally allowed an autonomous artificial intelligence agent to delete her inbox, even though she had explicitly instructed it not to do so. The incident, which she described herself on social media, has become a high-profile example of challenges related to AI safety and control.
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A new Nature Communications study suggests that insulin resistance tracks with higher risk for 12 cancer types. An international research team applied an unusual approach — instead of measuring insulin resistance directly, they developed an algorithmic proxy, opening the door to population-scale risk analyses. Here’s why that matters.
AI models for healthcare are proliferating, but most never leave the labs. Real-world deployment is far more complicated than any multiple-choice graduate exam – hospitals use different systems, data formats, and security protocols that resist standardization. Kaapana, an open-source platform developed at the German Cancer Research Center, addresses translation barriers by providing standardized infrastructure for medical AI research.
Inflation, exchange rates, sanctions, market panics—we dream of “calculating” all this in the era of big data. But in the case of any major economic crisis, the chain of human reactions (how officials, businesses, and consumers behave) is so unique and sometimes illogical that it breaks any model. In this interview, we’ll break down what AI can already do in economics and where it still “stumbles” over real life.