Detecting hallucinations in large language models using semantic entropy ( www.nature.com )
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This video discusses the second stage of the machine learning process: (2) collecting and curating training data to inform the model. There are opportunities to incorporate physics into this stage of the process, such as data augmentation to incorporate known symmetries.
Maybe AI systems would be safer if they avoid gaining too much control over their environment? How might that work?
A brief overview of the concept of generality in AI systems.
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Robert Miles discusses recent developments in AI Safety