ajdegol
Joined 8 years ago
Joined 8 years ago
That’s because software engineering is not about the amount of code you write: it’s about problem solving.
So then logically, either: - there are problems still to solve and you can work to solve them (maybe with AI) - there are no problems. So let’s head to the beach, as there are no problems.
Not trying to be harsh, but that sounds like a skill issue. You have the language server to lean on; easy feedback loop; sub agent per type.
I've been training a teeny specialised model to run in a browser on a phone to detect harmonium notes played in a song (harmonium turns out is a pita, another story for another day), getting good labelled data is _all_ of the hard work.
That being said, maybe for cheap inference, using a big model to train something ultra-suited for the task at hand might be how we could handle local inference; thinking language specific models.
The initial models were corrected by programmers which gave a very high quality feedback signal. Whereas with vibe coding on the rise, you’ll lose that signal.
There are classes of problems that should be worried about aforehand, just ask the crew of the Titan.
Autonomous super intelligence escaping airgapped computers seems like one of those problems.