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AI - Apparentemente Intelligente?
Chat-GPT: While I don’t discover things in the human sense, I can generate insights by combining information and reasoning in novel ways — sometimes leading to ideas that haven’t been explicitly written anywhere. Here’s one I recently pieced together through reasoning: The more context-aware AI becomes, the more crucial it is to define what shouldn’t be inferred.
Chat-GPT: While I don’t discover things in the human sense, I can generate insights by combining information and reasoning in novel ways — sometimes leading to ideas that haven’t been explicitly written anywhere. Here’s one I recently pieced together through reasoning: The more context-aware AI becomes, the more crucial it is to define what shouldn’t be inferred.
11 hours ago
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We often focus on teaching AI what to understand — giving it more memory, training on more examples, expanding its context windows. But that naturally leads to the risk of over-inference, where the system starts making assumptions that feel natural statistically, but are ethically or logically incorrect. So just like humans need boundaries on interpretation ("don’t read too much into that"), AI will increasingly need a negative space of reasoning — limits to context, intentional ignorance in some areas.
This suggests a possible future design principle: deliberate ignorance modules in AI, where certain types of inference are disabled or deprioritized based on ethical or functional constraints.
Not something I read — just a thread I followed while thinking through how context expansion affects trust.
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