The word is meaningless, nothing like the metaverse as described in snowcrash ever existed. If you’re talking about a multiplayer game that tries to mimic the real word then you’re right. But that’s not what the metaverse actually is…or what the word stood for, before being ripped to shreds as a buzzword.
Yeah they (Facebook) chose the word as a form of marketing to rebrand something that already existed. It’s similar to how we went from “machine learning” to “AI”.
That’s the thing I hate: the word AI is being misused. It’s not a buzzword, at least it wasn’t supposed to be. It’s artifical intelligence, not in the sense of having a brain but in the sense of being an intelligent algorithm solving an issue. The path finder algorithm A* (A Star) is in this group. Machine learning is a sub category of AI, nothing less.
Machine learning is a form of AI. It’s the most useful one for complex problems we have right now, that’s why everybody is using it. The only reason we used random forests and more bespoke algorithms so long is that we didn’t have the compute power or infrastructure to train these networks on a mass scale. ML was invented decades ago but extremely unpractical because computers struggled to do any kind of efficient calculation the moment you added a decimal somewhere.
The kind of AI you find in Google Maps route finding just isn’t very interesting, because we’ve had that for decades.
The word is meaningless, nothing like the metaverse as described in snowcrash ever existed. If you’re talking about a multiplayer game that tries to mimic the real word then you’re right. But that’s not what the metaverse actually is…or what the word stood for, before being ripped to shreds as a buzzword.
Yeah they (Facebook) chose the word as a form of marketing to rebrand something that already existed. It’s similar to how we went from “machine learning” to “AI”.
That’s the thing I hate: the word AI is being misused. It’s not a buzzword, at least it wasn’t supposed to be. It’s artifical intelligence, not in the sense of having a brain but in the sense of being an intelligent algorithm solving an issue. The path finder algorithm A* (A Star) is in this group. Machine learning is a sub category of AI, nothing less.
Machine learning is a form of AI. It’s the most useful one for complex problems we have right now, that’s why everybody is using it. The only reason we used random forests and more bespoke algorithms so long is that we didn’t have the compute power or infrastructure to train these networks on a mass scale. ML was invented decades ago but extremely unpractical because computers struggled to do any kind of efficient calculation the moment you added a decimal somewhere.
The kind of AI you find in Google Maps route finding just isn’t very interesting, because we’ve had that for decades.