링글/Metaverse

created : Thu, 31 Mar 2022 13:26:34 +0900
modified : Thu, 31 Mar 2022 15:37:46 +0900
english 링글
First, in the past, AI - maching learning was introduced in 1980s, but computer was not good, so - [] baybe, but there is no hardware.
In the 1980s, machine learning was introduced, but the necessary hardware to test it at scale was not sufficient.
In the 1980s, machine learning was theoretically possible, but the extent hardware of the time could not match those theoretical requirements.
Researcher and other people and some people in the area were - has very very big expectation but it wasn't [epidemic?] so - or every [support] is disconnected because there is no vision.
Researchers and enthusiasts had huge expectations that, at the time, did not pan out/were ultimately infeasible. What infrastructure was created at the time would be phased out because there was no vision.
In the 1980s, machine learning was introduced, but the necessary hardware to test it at scale was not sufficient. Reasearchers and enthusiasts had huge expecations that, at the time, were ultimately infeasible. What infrastructure was created at the time would be phase out because there was no vision. In computer science, we call it the winter of AI.
I think the Facebook have a challenge, because they are in something difficult situation, any site, so I don't agree Metaverse will be success because the technique is not competent - not completely, and VR and AR -people don't know VR and AR and people aren't familiar - people don't, you don't buy machine for engering metaverse - just only that, just ofr that.
I think Facebook faces a challenge for the same reasons I don't think the Metaverse will a success: their technique is incompetent. People are unfamiliar with VR and AR - they don't see themselves paying the steep cost of entry to the metaverse because VR devices are recreational rather than essential. Facebook/Meta has shown, it seems, little interest in making people familiar enough to see it as a nessity.
I think if I interest, or some other coin - it must be blind my eyes because my benefits is in -will b there so as a technician, I must choice objective more technically; for example, I started a new project about blockchain - what coins will I need (will I need) - choose -- but if I invest etherium - I will must choose it. I don't have other eason.
To be a technician, one must choose to be objective about the tecnologies with which they are familiar. If I buy into a coin, now I have bias; I may be inattentive to the ways my financial investments might influence my technological decision making or expertiese. For example, say I choose to buy Etherium - now, I am incentivized to recommend and specialize in Etherium rather than being a cientific generalist.
Actually I think that it's a fake. Because this technique are don't have any relation - just connected by people who need more money - more investment. So they [] people's mind, imagine your NFT in the metaverse - it's amazing - it's actually virtual reality. Not only data - if - (I can't explain it in English) - to summarize it. I think it's fake because there's no [c/g]lue connecting them.
Actually, I think that it's a farcse. These assets have no relation to anything real. Meta has emphasized imagining NFTs in their Metaverse. "It's amazing." they claim, but it blatant that they are seeking profit, not amazement. People have said, "imagine your NFT in the metaverse - it's amazing," but those people are purely profit-seeking, and I would take what they have to say about the metaverse with a grain of salt. There is no connective tissue between NFTs and the metaverse; for that reason, I think it's fake.
If I develop the metaverse, I focus on the device. Because it's a weak poin. As I mentioned, the device is too expensive to people and are that unfamiliar - so I focus on it.
Were I to develop fore the metaverse, I would focus on the device. It's a weak point. Specifically, I would work on cost reduction so that unfamiliar users don't face the barrier of price of entry.


During the second half of the lesson, when you slowed down, pronunciation clarity significantly improved. Be sure, while you’re learning, to keep your comprehension at a high speed, but let your speaking go at that pace until more clarity is achievable.

Overall, work on more cohesive phrases. Often, you stop and repeat yourself as you search for what to say - be intentional about practicing your English without repeats, even if it features extra long pauses. It is better to pause and make practice of good, slow English than it is to repeat yourself multiple times over, which your brain will learn as the norm for your speech.

After that work, be sure to place ideas in-sentence a little more logically. In other words, if one idea is the primary point of emphasis for a given sentence, make sure it is the first item mentioned and the primary grammatical structure around which all other phrases hinge.