Uhhh, no. I think it is better to implement something akin to federation than breaking up a company just because. If anyone wanted to sue valve, then they can enforce interoperability at the very least. But not dividing their business model. We don't force apple to split their software and hardware did we? We force apple to have a choice of interoperability. From then, it is all fair since anyone can link their data from valve and any other store that opt to implement the interoperability protocol.
bitfucker
joined 1 year ago
Why can't anyone develop said features? Should the competitor worsen themselves just because no one is able to develop the same features? As far as I remember, valve doesn't patent something ridiculous like regional pricing or family sharing, so anyone is welcome to develop it themselves. They even make proton open source but apparently Epic doesn't like the idea of them on the linux market.
So let me get this straight. Any client that wanted to have steam features, like the forum, hosting, workshop, chat, and all the jazz, should be able to do so without paying steam any fee? Why didn't they develop it themselves? Or should steam sell that as a service to those who wanted it? Say for example, epic wanted to have family sharing. Steam should sell their family sharing feature to epic as a service?
A word strings together form a sentence which carries meaning yes, that is language. And the order of those words will affect the meaning too, as in any language. LLM then will reflect those statistically significant words together as a feature in higher dimensional space. Now, LLM themselves don't understand it nor can it reason from those feature. But it can find a distance in those spaces. And if for example a lot of similar kanji and the translation appear enough times, LLM will make the said kanji and translation closer together in the feature space.
The more token size, the more context and more precise the feature will be. You should understand that LLM will not look at a single kanji in isolation, rather it can read from the whole page or book. So a single kanji may be statistically paired with the word "king" or whatever, but with context from the previous token it can become another word. And again, if we know the literary art in advance, we could use the different model for the type of language that is usually used for that. You can have a shonen manga translator for example, or a web novel about isekai models. Both will give the best result for their respective types of art.
I am not saying it will give 100% correct results, but neither does human translation as it will always be a lossy process. But you do need to understand that statistical models aren't inherently bad at embedding different meanings for the same word. "Ruler" in isolation will be statistically likely to be an object used to measure or a person in charge of a country depending on the model used. But "male ruler" will have a significantly different location in the feature space for the same LLM for the former, or closer for the latter case.
This is actually one of the best use cases of LLM. Indeed there is culture and nuance that may be lost in translation, but so does every other translation. And most of the time, if we know the literary art being translated ahead of time, we can predict a higher use of more nuanced language and adjust accordingly or skim it by a human.
After all, most "AI" is basically feature embedding in higher dimensions. A different language that refers to the same concept should appear close to each other in those dimensions.
Lindroid is an Android app that lets you run Linux in a container, with support for hardware-acceleration - Liliputing
Oh you mean privately owned cctv that faces public place. Yeah, I agree it is questionable since public spaces are the jurisdiction of law enforcement. But I can also see it as someone with a hobby of hoarding data, archivists, and the other extreme being as you said, voyeur. But there is no way of knowing hence I also understand your irks towards it.