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AI Experts Say We’re on the Wrong Path to Achieving Human-Like AI
An extensive report on the future of AI research indicated that there's skepticism about current approaches to AGI.
Despite hype distorting the state of research—and current approaches to AI not putting researchers on the most optimal path towards AGI—the technology has made leaps and bounds. “Five years ago, we could hardly have been having this conversation – AI was limited to applications where a high percentage of errors could be tolerated, such as product recommendation, or where the domain of knowledge was strictly circumscribed, such as classifying scientific images,” explained Henry Kautz, a computer scientist at the University of Virginia and chair of the report’s section on Factuality & Trustworthiness, in an email to Gizmodo. AI factuality is “far from solved”, the report read, and the best LLMs only answered about half of a set of questions correctly in a 2024 benchmark test.
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