Writer here, absolutely not having this experience. Generative AI tools are bad at writing, but people generally have a pretty low bar for what they think is good enough.
These things are great if you care about tech demos and not quality of output. If you actually need the end result to be good though, you’re gonna be waiting a while.
EnderMB@lemmy.world 8 months ago
Another programmer here. The bottleneck in most jobs isn’t in getting boilerplate out, which is where AI excels, it’s in that first and/or last 10-20%, alongside dictating what patterns are suitable for your problem, what proprietary tooling you’ll need to use, what API’s you’re hitting and what has changed in recent weeks/months.
What AI is achieving is impressive, but as someone that works in AI, I think that we’re seeing a two-fold problem: we’re seeing a limit of what these models can accomplish with their training data, and we’re seeing employers hedge their bets on weaker output with AI over specialist workers.
The former is a great problem, because this tooling could be adjusted to make workers lives far easier/faster, in the same way that many tools have done so already. The latter is a huge problem, as in many skilled worker industries we’ve seen waves of layoffs, and years of enshitification resulting in poorer products.
The latter is also where I think we’ll see a huge change in culture. IMO, we’ll see existing companies bet it all and die from supporting AI over people, and a new wave of companies focus on putting output of a certain standard to take on larger companies.
archomrade@midwest.social 8 months ago
This is a really balanced take, thank you