| This is probably just me projecting... u/justonceokay's wrote: > The solution to bad code is more code. This has always been true, in all domains. Gen-AI's contribution is further automating the production of "slop". Bots arguing with other bots, perpetuating the vicious cycle of bullshit jobs (David Graeber) and enshitification (Cory Docotrow). u/justonceokay's wrote: > AI will never produce a deletion. I acknowledge your example of tidying up some code. What Bill Joy may have characterized as "working in the small". But what of novelty, craft, innovation? Can Gen-AI, moot the need for code? Like the oft-cited example of -2,000 LOC? https://www.folklore.org/Negative_2000_Lines_Of_Code.html Can Gen-AI do the (traditional, pre 2000s) role of quality assurance? Identify unnecessary or unneeded work? Tie functionality back to requirements? Verify the goal has been satisfied? Not yet, for sure. But I guess it's conceivable, provided sufficient training data. Is there sufficient training data? You wrote: > only focus on adding new features Yup. Further, somewhere in the transition from shipping CDs to publishing services, I went from developing products to just doing IT & data processing. The code I write today (in anger) has a shorter shelf-life, creates much less value, is barely even worth the bother of creation much less validation. Gen-AI can absolutely do all this @!#!$hit IT and data processing monkey motion. |
During interviews one of my go-to examples of problem solving is a project I was able to kill during discovery, cancelling a client contract and sending everyone back to the drawing board.
Half of the people I've talked to do not understand why that might be a positive situation for everyone involved. I need to explain the benefit of having clients think you walk on water. They're still upset my example isn't heavy on any of the math they've memorized.
It feels like we're wondering how wise an AI can be in an era where wisdom and long-term thinking aren't really valued.