Zero, everyone is talking about the metaverse, but not everyone is talking about the same metaverse. If Ang Lee started making a metaverse movie, the slogan would probably be "Everyone has a metaverse in their hearts". 1. But "one dollar for each watch" is not a bad thing. If there is an official definition, it is the real horror. Everyone contends, although giant companies such as Facebook have grabbed most of the spotlight, at least there is still a little space and possibility for interpretation. 2. When Facebook introduced the "metaverse", Mark Zuckerberg said he missed the word "single" in front of it. What he describes is a "unit universe". 3. Compared with the infinite universe, Facebook's metaverse has boundaries and is a closed system. You probably won’t be able to participate without a Facebook ID, and you won’t be able to use VR glasses other than Oculus. As for what you can access and what will be blocked, it’s naturally up to Facebook to have the final say. That's what Zuckerberg didn't say,
but which any Facebook user should have. 4. Everyone knows that the English of the Metaverse is metaverse, but it is unknown how "meta" was translated into "meta" in the first place. The root of meta- originally refers to "metaphysics", "superior", etc. For example, metaphysics is well known as "metaphysics", that is, the knowledge that surpasses the laws of physics, probably no one will say "metaphysics". 5. Another example is metadata is "data about data" or "data on top of data". Alice said "Hello" to Bob on WhatsApp. This conversation is b wedding photo retouching services data. The sender Alice, the recipient Bob, the IP addresses of both parties, the mobile phone model, the operating system, the carrier, the sending date, time, message length, etc. are all metadata, and they are all listed. If so, it is richer than data. Due to public pressure, the content of WhatsApp conversations, that is, data, has been changed to the default point-to-point encryption, but metadata alone already contains a lot of information, such as inferring that Alice and Bob are a couple using machine learning. governments.