However, in broad brushstrokes, we might say this: You're a pattern in spacetime. A mathematical pattern. Specifically, you're a braid in spacetime-i… - Max Tegmark

In short, redness and self-awareness are both qualia.

The DQN AI system of Google DeepMind can accomplish a slightly broader range of goals: it can play dozens of different vintage Atari computer games at human level or better. In contrast, human intelligence is thus far uniquely broad, able to master a dazzling panoply of skills.
A healthy child given enough training time can get fairly good not only at any game, but also at any language, sport or vocation. Comparing the intelligence of humans and machines today, we humans win hands-down on breadth, while machines outperform us in a small but growing number of narrow domains, as illustrated in figure 2.1. The holy grail AI research is to build “general AI” (better known as artificial general intelligence, AGI) that is maximally broad: able to accomplish virtually any goal, including learning.

Here... is the Schrödinger equation [<math qid=Q165498>i \hbar \frac{d}{d t}\vert\Psi(t)\rangle = \hat H\vert\Psi(t)\rangle</math>]... and what it's actually saying is that the state of the world, that's this Greek letter Ψ there with the bracket around it... It's saying that the rate of change of it... depends on the current state of the world, when you do this operation on it and for the math nerds, this is a linear operation... and what that just means is, as Everett has pointed out and many others have known for a very long time is that, in some circumstances, two different solutions to this can do their parallel thing. We can talk at... length about the discoveries... about decoherence and why it is that sometimes these different parallel branches are unaware or each other, but my point is... if you give a science nerd colloquium... at a physics department... ideally, you should also start in the same way you start discussing this with your grandma. Just at a very high level... here are the cool ideas, and then you can go as deep as the audience or the listener wants, from there.