‘Predicting random text on the internet better than a human’ already qualifies it as superhuman, as dirichlet-to-neumann pointed out. If you look at any given text, there’s a given ratio of cognitive work needed to produce the text, per word-count. “Superhuman” only requires asking it to replicate the work of multiple people collaborating together, or processes which need a lot of human labour like putting together a business strategy or writing a paper. Assuming it’s mediocre in some aspects, the clearest advantage GPT-6 would have would be an interdisciplinary one—pooling together domain knowledge from disparate areas to produce valuable new insights.
‘Predicting random text on the internet better than a human’ already qualifies it as superhuman, as dirichlet-to-neumann pointed out. If you look at any given text, there’s a given ratio of cognitive work needed to produce the text, per word-count. “Superhuman” only requires asking it to replicate the work of multiple people collaborating together, or processes which need a lot of human labour like putting together a business strategy or writing a paper. Assuming it’s mediocre in some aspects, the clearest advantage GPT-6 would have would be an interdisciplinary one—pooling together domain knowledge from disparate areas to produce valuable new insights.