This is the reason we have people mistakenly repeating the conclusion that AI consumes huge amounts of water comparable to that of entire cities.
If you make any other assumption than "I don't know what's happening here and need to learn more" you'll constantly be making these kind of errors. You don't have to have an opinion on every topic.
Edit: By the way, I also don't think we should trust big companies indiscriminately. Like, we could have a system for pesticide approval that errs on the side of caution: We only permit pesticides for which there is undisputed evidence that the chemicals do not cause problems for humans/animals/other plants etc.
There are shades of gray here. But you are absolutely not required to extend benefit of the doubt to entities that have not earned it. That's a recipe for disaster.
Personally, I find myself to be incredibly biased against corporations over people. I've met a lot of people in my life, they seem mostly nice if a bit stupid. Well intentioned. Selfish.
Are corporations mostly well intentioned? Well, consider that some people tried to put "good intentions" into corporations bylaws and has been viciously resisted.
Corporations will happily take everything you have if you accidentally give it to them. Actual human beings aren't like that.
But that's a poor example of what I'm trying to convey. Instead consider plotting the course of celestial bodies. If you don't understand, you must record all the individual positions. But if you do, say, understand gravity, a whole new level of compression is possible.
I am sure I am not understanding this paper correctly because it sounds like they are claiming that model weights can be used to produce the original input text representing an extraordinary level of text compression.
I would argue that this is two ways of saying the same thing.
Compression is literally equivalent to understanding.
When I think to myself, I hear words stream across my inner mind.
It's not pages of text. It's words.
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See examples like finding someone's employer on LinkedIn to "out" the employee's objectionable behavior, doxxing, or to the extreme, SWATing, etc.
[1]https://blog.comfy.org/p/nano-banana-via-comfyui-api-nodes
Think of it this way: spreadsheets had a massive impact on the world even though you can do the same thing with code. Dataflow graph interfaces provide a similar level of usefulness.
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