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I think you might be looking for Firebase, it is basically a set of components that you can use on your web application and you'll find things like database, authentication, payments, caching.
You could also look at Vercel and Heroku, I think they do similar things, but I've not used them a lot.
Firebase can save you a lot of time at the beginning of your project, but it have so many issues once you start to scale even just a bit, it's such a pain to work with on a real project.(safety issues, bugs, all kind of stupid limitations, your bill can go up extremely easily, it has so many shortcomings)
I'd recommend using some boilerplate from github in your favorite stack even if it might be a little bit longer to build a product with it.
FrenchDevRemote commented on Vision language models are blind vlmsareblind.github.io/... · Posted by u/taesiri
Entertaining, but I think the conclusion is way off.
> their vision is, at best, like that of a person with myopia seeing fine details as blurry
is a crazy thing to write in an abstract. Did they try to probe that hypothesis at all? I could (well actually I can't) share some examples from my job of GPT-4v doing some pretty difficult fine-grained visual tasks that invalidate this.
Personally, I rate this paper [1], which makes the argument that these huge GenAI models are pretty good at things - assuming that it has seen a LOT of that type of data during training (which is true of a great many things). If you make up tasks like this, then yes can be REALLY bad at them, and initial impressions of AGI get harder to justify. But in practice, we aren't just making up tasks to trip up these models. They can be very performant on some tasks and the authors have not presented any real evidence about these two modes.
> their vision is, at best, like that of a person with myopia seeing fine details as blurry
It's not that far from reality, most models sees images in very low resolution/limited colors, so not so far from this description
I would have thought that rate limiting would be an easier solution to the problem of using chatgpt as an api.
It was rate limited since the start, the bots are respecting the rate limits, that does not mean they stop being a burden, they just create more of them.
Why does it need visual CAPTCHAs — surely it can tell humans and bots apart itself?
no one can, any company who tells you otherwise is lying to sell you a product
There are multiple projects built to reverse engineer their API to avoid paying the API rates(it still makes economical sense to buy a subscription for this), it was obvious that they would have to increase their bot protections at some point.
Regular captchas are easily solvable by multimodal LLMs, we're reaching a point where what's hard for software to solve is also hard for humans.
At some point they'll probably have to charge by usage instead of a flat subscription.
The trickier part is “everything else” to make the extension work.