Interviewer: How does the 'Moravec's Paradox' apply to our current stage of AI development? \nRobotics Engineer: It’s fascinating. While it is relatively easy to make computers exhibit adult-level performance on intelligence tests or playing chess, it is incredibly difficult to give them the sensorimotor skills of a one-year-old child. This means that --- \nComplete the sentence to reflect the core conclusion of Moravec's Paradox.
Şıklar
high-level reasoning requires more computational power than basic physical inte\fraction with the environment.
we should focus all our efforts on digital intelligence since physical robotics is a lost cause.
abst\fract thought is computationally 'expensive,' while evolutionary sensory skills are 'cheap' to replicate.
the hardest tasks for humans are actually the easiest for AI, and the most natural human skills are the most complex for machines to emulate.
AI will eventually surpass humans in physical tasks long before it masters the nuances of logical deduction.
Çözüm Açıklaması
Moravec Paradoksu, yüksek seviyeli akıl yürütmenin (satranç, matematik) makineler için kolay, ancak çok temel duyusal-motor becerilerin (yürümek, nesne tutmak) makineler için çok zor olduğunu savunur. D şıkkı, insanın en doğal becerilerinin makineler için en zorları olduğu gerçeğini vurgulayarak bu paradoksu özetler.
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