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by k__7 hours ago |
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upvoteby alcasa7 hours ago|
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I fear people will just get used to it. Nobody gets tailored clothing anyhmore and people don't question that we have standardized sizes that don't really fit anyone properly. People commonly buy standardized furniture and rarely get something to a specific for their room. If cheaper software (I mean thats mostly what it is) gets the job done, we will probably just keep doing that, even if that means we lose something in the process.
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upvoteby renegade-otter2 hours ago|
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This has been the story for over a decade. Thins are easier. The cloud, more CPU, more RAM. No one really pays attention to performance, detail, and the little things. There is no craft in anything - just FEATURES.

AI will just make this so much worse - a race to the bottom of dull mediocrity.

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upvoteby mandevil3 hours ago|
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Yeah but buying a sofa from Ikea doesn't let people steal my banking passwords. There are serious consequences to software bugs that there aren't in cheaper ready-made clothing.
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upvoteby lalalandland3 hours ago|
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Side point, but clothing industry are some of the biggest pollutors in the world
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upvoteby k__6 hours ago|
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Fair.

I just have the feeling that it doesn't get the job done anymore.

I hope we will see the rise of alternatives.

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upvoteby Bombthecat7 hours ago|
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Yeah, someone wrote: the future of apps, one user, me
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upvoteby runarberg4 hours ago|
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Your analogy is one indirection from being a fit. Factories usually get custom solutions for their production facilities, tailor made by specialist engineers. They then run the production and deliver mass produced goods to the markets. We software engineers aren’t delivering tailor made solutions straight to the consumer markets. We are much more like the engineers who set up the machinery in the production facility, and our software is much closer to that machinery then it is to the mass produced table you buy at Ikea.
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upvoteby aenis57 minutes ago|
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I am old enough to remember the outages of aws, gcp and azure which predate the gen ai thing. And of course the countless, endless, hopeless procession of bugs in just about anything else.

I am running it in a large mid cap company (~25bn revenue). For the first time we are releasing stuff which does not suck, and we are releasing it 5x faster than before. Its real for us, produces real, measureable economic value.

Now, how does anthropic or google make any money on those 250 p/m subs i have no idea.

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upvoteby moduspol6 hours ago|
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That's kind of my concern so far. We haven't seen a lot of big AI deployment success cases, but of the few mildly successful ones we HAVE heard of, they're 100% about cost saving / perceived efficiency and never about actually making a _better_ product or service.

I think it factors into why public perception is increasingly anti-AI. It'd be one thing if people were losing jobs, but on the other hand, their daily chores were done by a robot. Instead, people are losing (or fearing losing) their jobs, while increasingly having to fight with AI chatbots for customer support and similar cost-center use cases.

It's like AI is the "high fructose corn syrup" of tech. Nobody's arguing the output is better--it's just a lot cheaper and faster to get there, so that's its legacy. Making things cheaper and worse.

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upvoteby Bombthecat7 hours ago|
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Fake Support contact from companies is another use case. They send you in endless useless circles until you give up.

Saves the company a ton of money

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upvoteby seanw4446 hours ago|
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The level to which this stuff can be used against the common person is truly astounding.
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upvoteby asim6 hours ago|
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Well tbh I think it's like cloud in 2007-2009. I was highly skeptical and heckling while running on managed bare metal everytime there was an outage. But now cloud is the standard model for anything really. And I think AI becomes the gold standard for code in the long term. So yea right now lots of outages. In a couple years it'll be much better. And in ten years people will always default to automation via AI.
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