I've seen LLMs put sensitive secrets in git just like any incompetent junior dev

Yeah but when you're gone nobody is going to even be able to tell the difference between one set of code or the other. Instead the competent programmers will be replaced with tech priests preaching to the machine.

Embracing this technology eliminates competency. Consider how the art industry is currently refusing to embrace it and instead fighting it, what does this do? It ensures that the future has artists who remain competent and does not turn the field of art into a bunch of people who give prompts to an AI.

To really understand this you need to imagine a future where the art field embraced AI and all manual art stops, instead being replaced by people that give prompts to AI to make art. This is the future of the programming field by embracing AI. All future programmers when the manual programmers phase out will just be people that only know how to prompt.

It is incredibly shortsighted and only the realisation that everyone in the field will become like ai "artists" once the current experience phases out really makes this clear. It will suffer a total skill collapse.

People don't exactly stay on top of their game by reviewing slop code.

You don't learn that stuff get your degree and remain an expert for the rest of your life.

Yeah but if they don't write code they won't learn. A lot of coding isn't really like learning to drive a car and once you know how you're done, it's a persistent lifelong accumulation of experience in architecture.

The field absolutely will suffer a skill collapse when the existing generations of experienced pre-ai programmers phase out. There is no replacement mechanism in the system and the industry is young enough to have never even had to think about this problem ever occurring.

Until you realise that software is in everything from government services, to hospitals, to the means of communication

I really do miss mentoring junior engineers. At least they never rambled on and on about "load bearing seams"

Two of my coworkers are constantly adding to and tweaking our repo’s skills folders. I guess that’s the equivalent of mentoring for them and it actually has made the responses significantly higher quality.

It's not funny at all. I'm gonna develop male pattern baldness from pulling my hair out every time I have to interact with LLM-using 'programmers'.

We're at a really different point technologically and given the whole thing of Google's paper and the architecture is more data more layers more good there is a huge incentive to run on as much ram as possible which is expensive.

We're not going from hand soldered resistors to nanoscale transistors again. We're looking at some serious physics walls. Even if photonic chips leave the lab.

It's not magic these models are big and you can't just squeeze them onto smaller devices. Quantisation isn't magic either it's literally reducing the accuracy of a larger model to fit on a smaller device reducing its performance. If the data doesn't exist in the model weights then the model will perform worse and you can only compress data so much. The only meaningful tech shift in the space is unified memory but it's not going to be enough for anything this is fundamentally going to need silly quantities of ram for any effective model to run.

Even the TUI applications are now made with reactjs for some reason.