3 ms·
Feels kind of discouraging to think in 10 year timespans nowdays when it seems fairly clear that looming on that timescale will be massive changes in how softwa
by naillo 3y ago
Feels kind of discouraging to think in 10 year timespans nowdays when it seems fairly clear that looming on that timescale will be massive changes in how software is gonna be done (hence that effort won't bear fruit at the end of it). I.e. AI.
- capableweb 3y agoAnother way of seeing it, how has DNS changed in the last 10 years? There is a bunch of extensions, and usually users tend to use "top platforms" for hosting the name servers and dns resolvers, otherwise it looks pretty much the same.
- Kye 3y agoDig down to fundamentals. Most of the foundational stuff for AI is older than or approaching ten years. If you'd started on them then, you would be an expert now. If you start now, you'll still become an expert and prepared to understand the next thing built on the same fundamentals. The big thing right now is transformers: 2017 (6 years), based on much older work. It's the T in GPT. The foundations for all this stuff are over 100 years old. It's convenient for people with financial stake to make it seem scary and inaccessible, but all this stuff that's setting the stage for the next future is knowable. You don't necessarily have to sit down and make your own AI. Just knowing the general shape of progress gives you a better shot at knowing what will break out the way ChatGPT did in time to think of how you can fit it into your own workflow. Or at least keep pace once it does. That's how I've kept ahead of the growing public anxiety.