MarkLowenstein
Joined 12 years ago
Joined 12 years ago
Seems like we've reached the event horizon of whether AI advances are worth paying attention to.
Until the real problem is identified...which IMO is that programming itself is just harder to concentrate on in 2026 than it was in 1989. There are way too many possibilities of how to do things, and way too much difference between a good choice (say getting Claude to do it) and a bad one (say, writing a linked-list traverser yourself). Humans work well with the few variables involved in creating things like that linked-list traverser. But they require tons more energy if everything is on the table. Right library? Right platform? Right coding agent? Right way to keep myself from getting distracted?
In contrast, doing almost anything else seems like a relief for your brain.
Yet your comment is true. Perhaps the difference is that science is inherently interesting because nature is confined to things that are consistent and make sense, while the latest security model for version 3.0 of this-or-that web service protocol, vs. version 2.0, is basically arbitrary and resists effective visual diagramming. Learning software (not computer science) is an exercise in memorizing things that aren't inherently interesting.
People who became programmers because they are naturally motivated by the craft, are now "unproductive" unless they dispense with their beloved crafting activities forever. What are they going to do? Voluntary buyouts for starters.
But then who will be left? What kind of software will they provide?