OpenAI's doom was written when Altman (and Nadella) got greedy, threw away the nonprofit mission, and caused the exodus of talent and funding that created Anthropic. If they had stayed nonprofit the rest of the industry could have consolidated their efforts against Google's juggernaut. I don't understand how they expected to sustain the advantage against Google's infinite money machine. With Waymo Google showed that they're willing to burn money for decades until they succeed.
This story also shows the market corruption of Google's monopolies, but a judge recently gave them his stamp of approval so we're stuck with it for the foreseeable future.
I think their downfall will be the fact that they don't have a "path to AGI" and have been raising investor money on the promise that they do.
Anything that involves multiple days of work, or that you plan on working on it further, should absolutely not be vibe coded.
A) you'll have learnt pretty much nothing, or will retain nothing. Writing stuff by hand is a great way to remember. A painful experience worthwhile of having is one you've learnt from.
B) you'll find yourself distanced from the project and the lack personal involvement of 'being in the trenches' means you'll stop progressing on the software and move on back to something that makes you feel something.
Humans are by nature social creatures, but alone they want to feel worthwhile too. Vibe coding takes away from this positive reinforcement loop that is necessary for sticking with long running projects to achievement.
Emotions drive needs, which drives change and results. By vibe coding a significant piece of work, you'll blow away your emotions towards it and that'll be the end of it.
For 'projects' and things running where you want to be involved, you should be in charge, and only use LLMs for deterministic auto-completion, or research, outside of the IDE. Just like managing state in complex software, you need to manage LLMs' input to be 'boxed in' and not let it contaminate your work.
My 5c. Understanding the human's response to interactions with the machines is important in understanding our relationship with LLMs.