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AI godfather Geoffrey Hinton: ‘We’re creating alien beings. I’m willing to be selfish and choose humans’
(www.theguardian.com)
this post was submitted on 13 Oct 2026
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The assertion is not about whether 'you' can do it. It is that the model cannot do this itself.
A human recognizing a bias in the model and correcting it is not evidence robot intelligence, it is further evidence for human intelligence.
Training is absolute, it determines the set of relationships the model can represent between input and output. Context, rules files, system prompts, etc. operate only on the conditional probabilities within this set and are impermanent. This is 'priming' in human psychology, and why a person in a herpetology class will talk about Pythonic features differently than in a coding class.
As an example of how this is not real learning and is inadequate to solve real problems, here is a paper where the authors challenged multiple models to solve unfamiliar games where they need to discover the rules through play and feedback. Even the 'best' model performed pitifully compared to humans.