douglasg14b
And like all android updates, it’s guaranteed to be worse than it was.
Everything’s getting shittier.
“I refuse to accept progress if it’s not perfect progress”
Is what you’re effectively stating here.
Cmon, really? I have this argument with my toddler when he asks for something like a rip off a loaf of bread. He wants the whole loaf, he can’t have the whole load, so he gets a choice: The piece you can have, or nothing.
So. Would you rather have this progress, or nothing? That’s your choice, and right now it sounds a whole lot like you would rather have no progress?
The issue here is that these are solvable problems, release compat isn’t a new problem. It’s just a problem that takes dedicated effort to solve for, just like any other feature.
This is something FOSS apps tend to lack simply due to the nature of how contributions tend to work for free software. Which is an unfortunate reality, but a reality none the less.
People really underestimate the value of stability and predictability.
There are some amazing FOSS projects out there ran by folks who don’t give a crap about stability or the art of user experience. It holds them back, and unfortunately helps drive a fragmented ecosystem where we get 2,3,5 major projects all trying to do the same thing.
LLMs cannot provide critique
They can simulate what critique might look like by way of glorified autocomplete. But it cannot actually provide critique, because they do not reason, they do not critically think. They match their outputs based upon the most statistically likely interpretation of the input in what you could think of as essentially a 3D word cloud.
Any critique that you get from an llm is going to be extremely limited and shallow (And there’s for the critical critique you require). The longer your text the less likely the critique that you receive is going to be relevant to the depth in which it may be needed.
It’s good for finding mistakes, it’s good for paraphrasing, it’s good for targeting. It cannot actually critique, which requires a level of consideration that is impossible for LLMs today. There’s a reason why text written by llms tends to have distinguishing features, or lack of, that’s a bland statistically generated amalgamation of human writing. It’s literally a “common denominator” generator.
I like how many of the new top level comments on here are going the way of Reddit already.
One-liners trying to be funny or make puns instead of actually engaging in conversation, indistinguishable from bots. :(
Just because you don’t want it doesn’t mean others don’t.
And just because you don’t know much about the actual tech product itself doesn’t mean that it’s as narrow as you consider it to be.
There is a ton of vapid hype that everyone including myself is getting sick and tired of. I’m more than happy to recognize that. However, there are still real world problems and continued advancements being made daily.
It’s not all about LLMs either, there are many other types of science being done to develop improve and augment various other flavors of artificial intelligence. This has been a pretty constant trend for at least the last 10 years, we’ve just had a recent explosion in language capabilities with the introduction of generative AI. Thus fueling the hype.
That’s a really weird stance that I keep seeing on here which is to be proud of being ignorant. Being proud of hating something without actually understanding what it is. Being proud of not knowing how something works so that you can be more contrare.
Have you ever used something they made? Did it meet your standard of being “good work”?
I mean you’re ignorance of the products that they build or work on doesn’t precipitate their badness. Let’s start with the entire developer ecosystem that they have their hands deep in, it’s a pretty damn good ecosystem.
You probably need to check your bias because it’s leaking, negatively affecting your decision making.
Any company of this size is going to have shit products great products and literally thousands and tens of thousands of projects in between. You seem to be familiar with one product line, of hundreds or even thousands.
