Try reading your own post out loud, get out the rubber duck if you need to, and see if you can understand why you sound like a deranged zealot rather than simply a passionate user.
I’ll help you get started: note that every argument you’ve made starts with a base assumption about your interlocutors pulled from nothing, and note that every assumption conveniently draws a stark dichotomy between you as the informed rational party and the other as a bumbling uninformed moron.
Also notice how you draw lines in the sand that let you completely dismiss any thought you don’t like.
These convos constantly have people pulling out the tired old remarks.
Quoting 1 shitty study from years ago that is both heavily outdated and doesn’t support their argument the way they think it does, and their renarks indicate they didnt actually read the study
“But its theft” which is more of an ethical Grey discussion that Ill leave it up to courts to decide, and so far courts have not ruled AI usage for coding as illegal. Which means I do not give a shit. The entire concept is such obtuse ethical showboating. Only people grasping at straws try and pull this one out.
“But what about water usage” bitch we are software devs, data centers using water has been an issue for centuries do not pretend this is magically a new issue. If you have been deploying basically anything in the cloud, especially AWS, then picking AI as special makes you look like an incredibly uninformed idiot. Did you seriously think deploying entire docker containers constantly with integration tested pipelines on every PR wasnt also using water…?
“Its output is bad” skill issue. Literally skill issue. As in, “go learn how to use skill files”. In 2026 if your llm is still producing bad output thats 100% user error. Get good.
“But what about AIs deleting prod databases” yeah thats an even bigger user error. Why the hell did the LLM have access to be able to do that? Learn to properly use MCP tools and hiw to properly control what commands and operations you grant an LLM access to. Its not even that hard but people are just so lazy.
Every single goddamn thread people crawl out of the woodwork and hammer on repeating these same things. Its all they have.
If you actually wanna have a serious discussion maybe bring up more interesting dilemmas like Clean Room problems…
Try reading your own post out loud, get out the rubber duck if you need to, and see if you can understand why you sound like a deranged zealot rather than simply a passionate user.
I’ll help you get started: note that every argument you’ve made starts with a base assumption about your interlocutors pulled from nothing, and note that every assumption conveniently draws a stark dichotomy between you as the informed rational party and the other as a bumbling uninformed moron.
Also notice how you draw lines in the sand that let you completely dismiss any thought you don’t like.
People truly are just exceptionally out of touch.
These convos constantly have people pulling out the tired old remarks.
Quoting 1 shitty study from years ago that is both heavily outdated and doesn’t support their argument the way they think it does, and their renarks indicate they didnt actually read the study
“But its theft” which is more of an ethical Grey discussion that Ill leave it up to courts to decide, and so far courts have not ruled AI usage for coding as illegal. Which means I do not give a shit. The entire concept is such obtuse ethical showboating. Only people grasping at straws try and pull this one out.
“But what about water usage” bitch we are software devs, data centers using water has been an issue for centuries do not pretend this is magically a new issue. If you have been deploying basically anything in the cloud, especially AWS, then picking AI as special makes you look like an incredibly uninformed idiot. Did you seriously think deploying entire docker containers constantly with integration tested pipelines on every PR wasnt also using water…?
“Its output is bad” skill issue. Literally skill issue. As in, “go learn how to use skill files”. In 2026 if your llm is still producing bad output thats 100% user error. Get good.
“But what about AIs deleting prod databases” yeah thats an even bigger user error. Why the hell did the LLM have access to be able to do that? Learn to properly use MCP tools and hiw to properly control what commands and operations you grant an LLM access to. Its not even that hard but people are just so lazy.
Every single goddamn thread people crawl out of the woodwork and hammer on repeating these same things. Its all they have.
If you actually wanna have a serious discussion maybe bring up more interesting dilemmas like Clean Room problems…