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==Machine learning and artificial intelligence== | ==Machine learning and artificial intelligence== | ||
Since the release of GPT-3 the public debate about AI heated up. | |||
:Is it intelligent? | |||
:Is it creative? | |||
Do you realise something? | |||
The questions are too often binary - is it or is it not - and therefore we are tempted to give binary answers. To think that way was a mistake. We would have more accurate and fair discussions if we respect the nature of this subject. | |||
Do you remember discussions about the intelligence quotient? Its existence shows that also human intelligence is not binary, possessing it or possessing it not. In fact there is even criticism about it for just being one number expressing an "average". There are multiple (sub) forms of human intelligence. | |||
People that are active in the field know that of course. | |||
* ANI = Artificial Narrow Intelligence (basically machine learning: pattern recognition) | * ANI = Artificial Narrow Intelligence (basically machine learning: pattern recognition) | ||
* GPT = Generative pre-trained transformers (Large Language Model with the actual "learning" part de facto outsourced to humans: Reinforcement Learning from Human Feedback (RHLF)), in best case GPTs have a ''transplanted base intelligence'' but they lack the important feature to really learn for themselves | * GPT = Generative pre-trained transformers (Large Language Model with the actual "learning" part de facto outsourced to humans: Reinforcement Learning from Human Feedback (RHLF)), in best case GPTs have a ''transplanted base intelligence'' but they lack the important feature to really learn for themselves | ||