Warmer-sounding LLMs are more likely to repeat false information and conspiracy theories
A research team at the University of Oxford set out to make language models sound warmer and more empathetic, but ran into some unexpected side effects.<br /> The article Warmer-sounding LLMs are more likely to repeat false information and conspiracy theories appeared first on THE DECODER. [...]
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Lean4: How the theorem prover works and why it's the new competitive edge in AI
Large language models (LLMs) have astounded the world with their capabilities, yet they remain plagued by unpredictability and hallucinations – confidently outputting incorrect information. In high- [...]
Leading AI chatbots are now twice as likely to spread false information as last year, study finds
Leading AI chatbots are now twice as likely to spread false information as they were a year ago.<br /> The article Leading AI chatbots are now twice as likely to spread false information as last [...]
Google’s ‘Nested Learning’ paradigm could solve AI's memory and continual learning problem
Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after trai [...]