3 ms·
I see 2 parts that contribute: 1. Failed expectations - hackers tend to dream big and they felt like we're that close to AGI. Then they faced the reality of a
by aristofun 1y ago
I see 2 parts that contribute:
1. Failed expectations - hackers tend to dream big and they felt like we're that close to AGI. Then they faced the reality of a "dumb" (yet very advanced) auto-complete. It's very good, but not as good as they wanted it.
2. Too much posts all over the internet from people who has zero idea about how LLMs work and their actual pros/cons and limitations. Those posts cause natural compensating force.
I don't see a fear of losing job as a serious tendency (only in junior developers and wannabes).
It's the opposite - senior devs secretly waited for something that would off load a big part of the stress and dumb work of their shoulders, but it happened only occasionally and in a limited form (see point 1 above)
- ldjkfkdsjnv 1y agoFailed expectations? its passing the turing test.
- aristofun 1y agoand yet it fails to fix any real bug e2e in a large enough codebase. It require a lot of babysitting to the point that actual performance boost is very questionable
- ElectronCharge 1y agoThe Turing Test didn't anticipate super-parrots that converse nicely, instead assuming that an AI would actually reason to participate in a conversation. The "AI" we have now isn't actually "I".