3 ms·
>> but deep problems aren't being solved There is no problem to solve. These days, solutions come in a package which includes the problems they intend to solve
by zkmon 1y ago
>> but deep problems aren't being solved
There is no problem to solve. These days, solutions come in a package which includes the problems they intend to solve. You open the package. Now you have a problem that jumped out of the package and starts staring at you. The solution comes out of the package and chases the problem around the room.
You are now technologically a more progressed human.
- AJRF 1y agoThis made me laugh a lot at the mental image. This was my experience with Xcode for sure.
- notepad0x90 1y agoIf you like creating solutions, why wait for a problem to show up? lol
- kvirani 1y agoWow. I hadn't thought of it like that but it resonates
- nwhnwh 1y agoLOL, this is so true.
- 3abiton 1y agoI wish this was wrong, but it really isn't. To contrast though, I would argue that is part of evolution? We just want to do things faster or better? Smartphones solved no problems, but they ushered the digital millenium.
- zkmon 1y agoI think most new technologies helped to increase the expectations about what you can do. But overall work did not get reduced. It didn't give me more free time to go fishing, or bird-watching. On the other hand, I got an irreversible dependency on these things. Otherwise I'm are no longer compatible with the World 2.0
- TeMPOraL 1y agoThis is where GP is wrong, I think. The problem are being solved, for now, because the businesses are still too excited about the whole AI thing to notice it's not in their interest, and properly consolidate against it. And the problem being solved is, LLMs are universal interfaces. They can understand[0] what I mean, and they understand what those various "solutions" are, and they can map between them and myself on the fly. They abstract services away. The businesses will eventually remember that the whole point of marketing is to prevent exactly that from happening. -- [0] - To a degree, and conditioned on what one considers "understanding", but still - it's the first kind of computer systems that can do this, becoming a viable alternative to asking a human.