This also goes without saying that the more adoption we see, the better these alternatives will get as we see consumers and businesses view Linux as worth the investment.

All I post anymore is anti-AI sentiment because it just feels like we're in a cycle of blind trust. A lot of FOSS seems cautious about LLMs for a plethora of reasons (quality and ethics among those) but we're a long way from making the tools that are supposedly going to replace us a locally runnable tool. So, until then, we're conceding pur agency to Anthropic and whoever else.

Meanwhile, war is breaking out and disrupting already stressed supply chains and manufacturing (for instance, Taiwan relies heavily on natural gas). Many manufacturers are starting to ditch production of consumer hardware, the supposed hardware folks ITT want to run their local models on. The vast majority of datacenters aren't being built yet, and those that are being built are missing their targets, still have aging GPUs in boxes without the infrastructure to power and turn them on, all while floating hundreds of billions in debt.

Surely I can't be the only one who sees the issues here? Each topic is hours of "what ifs" and a massive gamble to see if any of it will come together in a way that will be good for anyone who visits HN.

As you say, I think things are just going to fall apart and we're just going to have to learn the hard way.

I guess ignore the evidence of what I can see? If it provided the value everyone says it does, then charging the amount of what you would generate for ad revenue doesn't seem like a huge ask. But that's not the objective, is it? All the players want to become the defacto AI provider, and they know bait and switch tactics is all they have.

This sentiment comes off as an abusive relationship with the tech industry. Rewarding new ways to define a race to the bottom. We never demand or expect better, just gladly roll over and throw money at your new keeper. It's sad.

The sentiment that developers shouldn't be writing code anymore means I cannot take you seriously. I see these tools fail on a daily basis and it is sad that everyone is willing to concede their agency.

This is what gets me. The tools can be powerful, but my job has become a thankless effort in pointing out people's ignorance. Time and again, people prompt something in a language or problem space they don't understand, it "works" and then it hits a snag because the AI just muddled over a very important detail, and then we're back to the drawing board because that snag turned out to be an architectural blunder that didn't scale past "it worked in my very controlled, perfect circumstances, test run." It is getting really frustrating seeing this happen on repeat and instead of people realizing they need to get their hands dirty, they just keep prompting more and more slop, making my job more tedious. I am basically at the point where I'm looking for new avenues for work. I say let the industry just run rampant with these tools. I suspect I'll be getting a lot of job offers a few years from now as everything falls apart and their $10k a day prompting fixed one bug to cause multiple regressions elsewhere. I hope you're all keeping your skills sharp for the energy crisis.

I don't think it has anything to do with ego. There are studies on the topic of AI and productivity and I assume we have a way to go before we can say anything concretely. Software workflows permeate the industry you're in. You're putting words in my mouth, I said nothing about what people are doing is wrong or not useful. I said the claim that generative AI is making engineers more productive is an unfounded one. What code you shit out isn't where the work starts or ends. Using expedient solutions and having to face potentially more work in the future isn't even something that is a claim about software, I can make that claim about life.

You need to evaluate what you read rather than putting your own twist on what I've said.

And the users may not care about code directly, but they definitely do indirectly. The less optimized and more off-the-shelf solutions have seen a stark decrease in performance but allowing game development to be more approachable.

LLMs saving engineers and developers time is an unfounded claim because immediate results does not mean net positive. Actually, I'd argue that any software engineer worth their salt knows intimately that more immediate results is usually at the expense of long term sustainability.