Has it, though? There's still features that bring large user value and require 10 lines of code, and features that bring a small user value and require AI to burn tokens on huge refactors and babying to make sure it doesn't break anything.

Well good for you, but that doesn't change the fact that I can't use it. Everything is a mishmash of the old Assistant and Gemini. Sometimes even my Google Home answers in the old Assistant voice (you know... "Sorry, I don't understand"

Well. Running your machine to do inference will utilize more than 50W sustained load, I'd say more than double that. Plus electricity is more expensive here (but granted, I do have solar panels). Plus don't forget to factor in that your hardware will age faster.

I'd say it's not worth it. But the idea is cool.

Your hardware will age slower if you have consistent load.

Thermal stress from bursty workloads is much more of a wearing problem than electromigration. If you can consistently keep the SoC at a specific temperature, it'll last much longer.

This is also why it was very ironic that crypto miner GPUs would get sold at massive discounts. Everyone assumed that they had been ran ragged, but a proper miner would have undervolted the card and ran it at consistent utilization, meaning the card would be in better condition than a secondhand gamer GPU that would have constantly been shifting between 1% to 80% utilization, or rather, 30°C to 75°C

Their estimate is based on significantly lower consumption when under load. E.g. 25W for an M4 Pro mac mini. I have no idea if that’s realistic - but the m4s are supposedly pretty efficient (https://www.jeffgeerling.com/blog/2024/m4-mac-minis-efficien...)

Haha yeah. I once asked it to make a field in an API response nullable, and to gracefully handle cases where that might be an issue (it was really easy, I was just lazy and could have done it myself, but I thought it was the perfect task for my AI idiot intern to handle). Sure, it said. Then it was bored of the task and just deleted the field altogether.

I was thinking the same. Plagiarism as a service, lol

If you love plagiarising, I will not be able to stop you :(

I'm growing allergic to the hype train and the slop. I've watched real-life talks about people that sent some prompt to Claude Code and then proudly present something mediocre that they didn't make themselves to a whole audience as if they'd invented the warm water, and that just makes me weary.

But at the same time, it has transformed my work from writing everything bit of code myself, to me writing the cool and complex things while giving directions to a helper to sort out the boring grunt work, and it's amazingly capable at that. It _is_ a hugely powerful tool.

But haters only see red, and lovers see everything through pink glasses.

Sounds like maybe you might have some mixed feelings about becoming more effective with ai, but then at the same time everyone else is too so the praise youre expecting is diluted.

I see it all the time now too. People have no frame of reference at all about what is hard or easy so engineers feel under-appreciated because the guy who never coded is getting lots of praise for doing something basic while experienced people are able to spit out incredibly complex things. But to an outsider, both look like they took the same work.

I am also torn because obviously the LLMs have a lot of value but the amount of misuse is overwhelming. People just keep pasting slop into story descriptions that no one can keep up. There should be guidelines at work places to use AI responsibly.

> it has transformed my work […] to me writing the cool and complex things

> it's amazingly capable at that.

> It _is_ a hugely powerful tool

Damn, that’s what you call being allergic to the hype train? This type of hypocritical thinly-veiled praise is what is actually unbearable with AI discourse.

I don’t think it is controversial that AI tools are good enough at crud endpoints that it is totally viable to just let it run through the grunt work of hooking up endpoints to a service and then you can focus on the interesting aspect of the application which is exactly that service.

I doubt it. I noticed a few of these comments too on our PR's. We did ask copilot for a review ton GitHub (we just add copilot as a reviewer) but not through Raycast.

Oof. Why can’t it just do its one job? My interest level in trying these agents has gone from lukewarm to zero.

It is doing its one job.

On top of that, that page took 10 seconds to load. On a Gbit network connection, lol

Maybe n=1, but I disagree? I notice that Sonnet 4.6 follows instructions much better than 4.5 and it generates code much closer to our already in-place production code.

It's just a point release and it isn't a significant upgrade in terms of features or capabilities, but it works... better for me.

Are you using a tool like Claude Code or Codex or windsurf? I ask because I've found their ability to pull in relevant context improves tasks in exactly the way you're describing.

My own experience is that some things get better and some things get worse in perceived quality at the micro-level on each point release. i.e. 4.5->4.6

Haha yeah I've had this happen to me too (inside copilot on GitHub). I ask it to make a field nullable, and give it some pointers on how to implement that change.

It just decided halfway that, nah, removing the field altogether means you don't have to fix the fallout from making that thing nullable.

Lmao.