[bigstrat2003]

> A lot of software has been squandering the massive hardware gains that have been made. I hope this changes when it becomes a lot harder to throw hardware at the problem.

Considering how many people are so averse to programming that they use LLMs to generate code for them? Not very likely IMO. I would like to see it happen, but people seem allergic to actually trying to be good at the craft these days.

[JKCalhoun]

I am more worried about memory and cycles being squandered by the underlying libraries on the device itself. Not a lot you can do to optimize those.

(I'm looking at you, Liquid Glass. I would love to get back to a vintage, "flat" UI. I'll allow for anti-aliasing, Porter-Duff compositing, but that's where I draw the line.)

[londons_explore]

I think we aren't far from AI being able to solve this sort of problem too.

Imagine you are Apple and can just set an LLM loose on the codebase for a weekend with the task to reduce RAM usage of every component by 50%...

[al_borland]

From everything I’ve seen, LLMs aren’t exactly known for writing extremely optimized code.

Also, what happens to the stability and security of my phone after they let an LLM loose on the entire code base for a weekend?

There are 1.5 billion iPhones out there. It’s not a place to play fast and loose with bleeding edge tech known for hallucinations and poor architecture.

[alpaca128]

LLMs are trained on currently existing code.