4,853 karma · joined April 28, 2009
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Maybe LLM tooling can help people demystify some of that. I think that would be a good thing.
In my experience, LLM tools are not infallible and I've seen them introduce changes in one place that causes defects in two or three other places. They write code that I find difficult to read and that can make diagnosing these bugs harder than it needs to be. People have brought me code that LLM tools have written because they are surprised that it doesn't work and are wondering if somehow they, the human, just doesn't understand something.
Maybe this is just another bump and these tools will continue to improve. Until these things aren't a problem. As it stands today, I think there's still a place for a people in commercial software development.
I bet people generated solutions end up significantly different from AI generated solutions. People learn more about the problem as they work it through and they don’t always end up with the thing they were imagining when they started.
In my opinion, that’s not the whole thing and the article and the parent post touch on this. The part about the process of struggling to get your mind to understand new ideas and new ways of doing things, the satisfaction in putting together a solution that fits in just right and gets the job done. The feeling of goals accomplished and having improved oneself. These are things that are still out there, and the work is still valuable.
The difference, for me, is this constant background conversation that seems to be saying “this is worthless” and “you’re wasting your time”. I don’t think this is true but it’s hard to hear. Depending on where a person is in life, it can hit pretty hard.
Some kind of "child lock" on the device makes more sense to me; a parent or whatever can child lock the device before handing it off, no need to collect images of the child in question and store them in some big pile at a private company.
The thinking here is that because UHG is legally obligated to pay out claims, this money only "passes through" their hands. I believe the legal obligation is the thing here.
Anyway, if these pass through costs (the claims they are legally obligated to pay) are removed from the equation then their revenue number is smaller and their profit margin is larger.
OTOH this was a warrantless search, I’d argue this is materially different. AFAICT, people can still refuse to provide a password to evidence that may incriminate them. I also think scope is much, much larger than searching a home or office. The kind of data people have in their phone is far more private than the kind of stuff people would keep in a filing cabinet and there is far more of it. And a phone is easier to search. I mean, that’s why they put this guy on a list and waited for him to travel somewhere instead getting a warrant.
Myself, I find this kind of searching of citizens to be pretty crazy and I can’t believe it’s allowed. My hope is this case brings this practice to an end.
I have to say on those occasional times where it finds something that I totally missed or misunderstood, those are for sure the most productive sessions. I find I'm actually working with the model, while I read the code it's pointing me at, and getting a good solution together. Often the model suggest something that's maybe too simple or, weirdly way way too complicated but it's definitely helps me zero in on a decent solution.
From the article...
Treasury Secretary Scott Bessent said Tuesday on Fox Business’ “Mornings with Maria” that the administration would investigate whether Chinese artificial intelligence companies had improperly distilled American models to power their own, saying that the U.S. can “sanction” companies that engage in intellectual property theft.
United Healthcare is pretty big in the US, they are also famous for forcing people to spend a lot of time on the phone, waiting on hold or advocating for care. I expect this ends up taking time that the employee would otherwise have been working as well as negatively impacting morale.
He was a demonstrably bad CEO, so much so that the Apple board fired him. He then went on to get better at the job through running another two companies until, eventually, Apple purchased one of these companies (it was very much unsuccessful, BTW). Then he became CEO and the company and was, finally, phenomenally successful.
I think I would prefer code that is clear, understandable and simple even if it doesn’t compile and needs some straightforward polishing.
It’s straight up greed, IMHO.
In the case of AI generated imagery, maybe it will get to the point where people can't tell just by looking at it. If it does, at what cost? It seems to me that token cost is rising, I can't help but wonder if hiring an illustrator might end up being less expensive in the long run.
Background music in distracting environments, where the listening is maybe the third or fourth thing I'm doing, maybe AI will be acceptable.
https://www.nytimes.com/interactive/2026/07/01/science/spudc...