I personally do agree that when I see an update I feel something between annoyance or dread (what is broken this time?).

As ridiculous as it sounds, but there is some intent in doing all of that and listening to the files on your hard drive. We have a vynil/CD player as well, but they are not at my workplace.

Who are the competitors? Something lower level like bevvy? The way I see it even with vibe coding you need to do a lot of infrastructure work to make editing easy, and anybody except Unity is far off from them.

There are tons of people who produce questionable code at a rate which is not really compatible with a thoughtful review, we have people with little engineering background pushing their changes (although there is a large pushback against that as the results are really bad even short term), as you said, there is an explosion of LLM-generated tests.

As soon as someone writes a next-level harness which tightly iterates based on the spec/plan and/pr pioneers some sort of acceptance criteria format that works, I think at that point SWE job will completely change. We are not there yet but probably not that far off.

As for how to spend that much -- not that hard, to be honest. Just give it a lot of context and some relatively open-ended problem and it will easily eat through tons of tokens.

I have $200 subscription for Codex and it is crazy what it can do in terms of debugging. I have a pretty complex Electron setup with some native code linked via Node addons, a few App Extensions and it can easily read the source code to see how the builder works internally (e.g. if your end Info.plist is not correct), debug the xcodebuild output to see at which step something is not linked correctly (like after XCode major version bump), etc.

It is not a silver bullet but if you are not the one paying for it, there is no downside to throw a problem at it and see if it can come up with a fix.

> And, if they are pouring thousands into LLMs per developer, have they considered looking at alternatives like having LLMs running locally on own hardware with their own agent harness?

I am curious about that myself. I have a good machine now (Macbook Pro M5 Pro with 48GB memory), so I'll give it a try; I don't have high expectations so if it is actually helpful would be very neat.

But with AI what is the exact price? My understanding is that R&D is extremely expensive, but running non-SOTA models is not that bad. We are getting pretty close to models which can be useful locally in many applications.

Or do you mean that at scale running them locally is not possible and hence the infrastructure price is in data centers, which will be expensive to maintain and scale for demand?

It also can be that the office space itself is too noisy so any discussion can distract a lot of people.

I suppose there could be a tipping point if enough people leave and genuine interaction becomes rare that it will be too obvious, but at this point I don't know. But I am on a brink of quitting reddit, nearly all popular subs I like are AI-infested and it is just exhausting.

But I fully agree that mortgage forces people to actually save money, most people would just spend it all.

As for the insurance, the best advice is just to avoid high-risk areas like flooding zones.

You'd actually end up in a much better place historically, homes were never a particularly good investment in the US, but there are very few people who can pull it off and actually invest the difference and not just spend it.

I also wrote a separate app to actually rip the CDs using this library and populate the metadata, but I think technically it is much less interesting.

I think the biggest takeaway is that if you have some intimidating project, give it a try! It might be very much doable.

Comments URL: https://news.ycombinator.com/item?id=47980108

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