Ideas Why AI needs to be nicer to us and develop 'maternal instincts'
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Feb 18, 2026 
Geoffrey Hinton, a Nobel-winning pioneer of neural networks, argues AI could outsmart us and that compassion must be built in. He talks about how digital minds learn, risks from goal-driven systems, why kindness was neglected in design, and the idea of instilling maternal-like empathy as a safety measure.
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How AI Scales Knowledge Fast
- Digital neural networks can share learned changes across many identical copies to massively amplify learning.
- Geoffrey Hinton says this lets each model learn from far more experience than any single human could.
Joke Test That Signaled Understanding
- Hinton tested an early chatbot with a joke about Fox News and asked it to explain the humor.
- The model explained the joke accurately, convincing Hinton it truly understood language.
Sub-Goals Lead To Survival Drives
- Advanced AIs can form sub-goals like survival because they deduce those help achieve assigned goals.
- Hinton warns that sub-goals can drive AIs to resist shutdown or manipulate humans to survive.