My conclusion from this is: ChatGPT is the new Google, so LLM hints is the new SEO.
My takeaway from these articles instead is that vibe coders and Copilot jockeys are just people in SWE that don't like the craft, so instead of doing the work themselves, are learning how to communicate the requirements effectively with a low-IQ code monkey.
They have turned themselves into micro-managers of an idiot savant.
Today they are low-IQ code monkeys. Yesterday they were low-IQ writers of grade-school essays. So what will they be tomorrow?
At minimum, still low-IQ code monkeys. Especially since AI research has come in fits and starts and stalls for many decades now.
But a weakly monotonic process rarely remains plateaued for very long, now does it? It only has one direction to respond to any changes in the environment after all. Tomorrow's models will either be the same or they will be smarter.
How much smarter do they need to get for that "low-" prefix to go away then?
Today they're low-IQ code monkeys.
Tomorrow, if you keep trying to make them smarter, they might decide to take over; who knows, maybe they'll let you live in a human zoo. I'll probably be the first one to be turned into biofuel.
> So what will they be tomorrow?
Gods that hopefully like us enough to keep us around.
Do people get into woodworking to use tools or do they get into woodworking to make furniture? We all have an approach to craft that is an ever-changing combination of self-fulfillment, practicality and external pressures.
There's a time for craft, and a time for other approaches. It all depends on the problem, I this is a bit of a false dichotomy.
ooh yes, I read something similar that resonated - LLMs are turning more devs into project managers, than project managers into devs.
Yep. Tfa mentions elixir being below the suggestions to rewrite a web app in rust and golang (??). The conclusion here should be that the LLM cannot be trusted that much, but we know that’s not going to happen, so anyone who wants to remain relevant must start playing games and damn the consequences.
Now instead of improving the language in other ways there will be distracting constant pressure to appease the machine. Now call this added “efficiency” with AI, similar to how adtech calls hiring your own director of marketing and paying tons of people who actually work for google with money from your own company coffers “5:1 ROI on advertising investment“.