The Difference Between AI, Machine Learning, and Deep Learning
Also, an interesting read related to this would  &#x27;the AI effect&#x27;[0]. A lot of the stuff Deep Learning&#x2F;Machine Learning is able to do today would be looked at as something that only &#x27;true&#x27; AI (whatever consensus on what that means is; I think of it as AGI) would be able to do.<p>But as soon as we are able to solve a problem that we think (feel?) only true AI (AGI) would be able to solve, as soon as we know <i>how</i> it was solved, it is no longer a mystery that warrants amazement and we argue that it is not  <i>real</i> intelligence, just like the link below states.<p>But just a decade ago, if you saw that a computer was able to recognize pictures <i>better</i> than humans, you would think there was something fishy going on, or we have achieved true AI.<p>My opinion is true AI is which is comparable to human intelligence, in that it is sentient and&#x2F;or capable of abstract thought, not necessarily being able to hold a conversation or solve concrete mathematics problems, or dump out a story by neural networks.<p>[0]<a href="https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;AI_effect" rel="nofollow">https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;AI_effect</a>