That pollution is inevitable, why delay it? It's a technical problem they should be able to solve, and if they can't, then they're revealing the weakness of their methods and the shortcomings of their so-called AI.
It's absolutely ridiculous to expect the entire internet to adopt some kind of hygiene practices when it comes to text from GPT tools simply for the sake of making the training process slightly easier for a company that certainly should have the resources to solve the problem on their own.
If that's why you're using images instead of text you're fighting such a losing battle that it boggles my mind. Why even think about it?!
I can relate. My understanding of it thus far leads me to think I can summarize it fairly well though, and I would welcome other people's input or critique on this.
It seems like it's so consequential because he demonstrated that no matter what kind of mathematical system you're using -- and no matter how much mathematics generally speaking develops -- there will be objectively true mathematical statements within that system that can't be proven.
If that part of my understanding is correct, the part that's really interesting to me is whether we can know these true statements to be true, despite them not having proofs. This is where I could be misunderstanding things I suppose, but it suggests there's a disconnect between what's knowable and what's provable, and furthermore, that we can know more than we can prove.
To actual seasoned mathematicians: is this a really naive interpretation of what I've read, or not?
I really appreciate the way you've articulated your thoughts on this. It helped me reflect once again on the way Nietzsche affected me when I first read him.
I was about 20 years old, and had lost several important friends while also briefly dropping out of college. Saw Nietzsche on a bookshelf while making an effort to continue my education independently as I saved money. I was young enough to earnestly jump into pursuing "the whole damn truth," and my mental health be damned. Cue years of unrelenting depressiveness, self-absorption, solipsism, fragile and tragic romantic relationships, etc.
I completely agree, and I think a lot of people who don't "get" Nietzsche are actually reacting to his ideas perfectly rationally with respect to their (not necessarily anti-intellectual) values in life. I for one would have been much more fortunate to have studied him in an academic setting, with a group of peers. I recall reading once that Nietzsche's ideas are valuable insofar as one finds a resistance to them.
Didn't even click because it was so obvious. Why ask such a silly question when everyone can just nod their head, say 'yes' to themselves, and move on?
Super afraid for this technology to be applied to fetuses. Parents can't decide on an abortion? They can check if they think he or she will be ugly or not.
How can you so blindly oversimplify a problem and then act like the rest of the world is incompetent for not solving it already?
Snow is not just increased visual noise. Just off the top of my head, with no experience in self-driving cars and limited experience in computer vision:
Snow (on the ground and street and curbs) is a vastly lower-contrast visual environment where numerous traditionally distinct features of the landscape are covered by a blanket of white.
Snow is a more dangerous and difficult-to-stop-in environment, with totally different physical dynamics. Recognizing pedestrians (and their intentions), road blocks, debris, etc. is probably already a challenging problem, and with snow it's not only more difficult, it needs to be done from a much farther distance to give adequate stopping time.
Along with snow there are issues with recognizing icy patches and other especially low traction sections on the road and adjusting control inputs accordingly.
I can't tell if you've never driven in snow or never even attempted a basic computer vision or robotics task in your life, or both.
I would like to chat for sure. I ran across Anki a few months ago, and thought about all the potentially incredible interactions between spaced repetition and Natural Language Processing techniques.
For a super basic idea, imagine a Chrome plugin that creates an Anki deck out of a Wikipedia article at the click of a button? (Maybe not the most useful application, but pretty neat and a great place for a simple proof of concept.)
And what if you took that a step farther and made an app that does the same thing with text extracted from an image set. So you could take pictures of a textbook page or pages and have it do the same thing with those.
Of course, there are many practical challenges to developing the NLP process in a way that it can identify the most salient parts of a text and capture flash-card-friendly phrases or factual statements, but I think the challenges could be overcome. And it would be an amazing feat to capture the benefits of spaced repetition without the upfront cost of manual deck creation.
It's absolutely ridiculous to expect the entire internet to adopt some kind of hygiene practices when it comes to text from GPT tools simply for the sake of making the training process slightly easier for a company that certainly should have the resources to solve the problem on their own.
If that's why you're using images instead of text you're fighting such a losing battle that it boggles my mind. Why even think about it?!