d3nigma

True, they are solid, but don't provide a compact as well as enjoyable overview. I mean, I could also just look up the GitHub emoji reference instead of gitmoji. As for the Mozilla docs, they feel like a bottomless pit.

Don't run it xD

I am curious with which parodies you could come up with. Given that this was made with PowerPoint xD

I did a little "redesign" for some ios apps from Apple inspired by Google's new design language. They are now easily identifiable among other apps ;)

Operating systems and browsers in general

I think this depends on whether the "spirit" of an AI representation is independent of the hardware it runs on. The human brain for examples is not independent of it's hardware. Our state of mind is represented by billions of neurons connected with each other. Thus, if our body is destroyed, we die. We could create a clone, but it would be another instance of ourself. However, if a body (e.g. a robot skeleton) is just a hull of a consciousness, then we can't apply the definition of immortality as stated in the article. Because although each instance of the consciousness would have a limited lifespan, the consciousness itself becomes immortal. The best example for this is the AI Lobsang, a reincarnated Tibetan motorcycle repairman, in the Long Earth novel series written by Terry Pratchett and Stephen Baxter.

I disagree with Dreyfus's view about strong ai. It's like saying that all lifeforms in the universe are carbon based, because we are carbon based lifeforms. But that's not necessarily true. I am a huge fan of bio-inspired engineering, however, and I think imitating/simulating "growing up" could be a reasonable approach to human-like intelligence. This phase of life is key for our understanding of the world. We define and refine our values and evolve from a blob of cells to a conscious being by observing our surroundings and acquiring huge amounts of knowledge. If this concept (refined by evolution over the last million years) is good enough for humankind, it is certainly good enough for human made intelligence. The biggest problem here is efficiency and complexity. We still don't know all mechanisms of our brain and we are not capable (yet) to simulate 100 billion neurons, each connected to up to 30.000 other neurons. That's the main problem here!