“the only conceivable reason anyone could object is that they’re ignorant” is cultish logic. Adding “my hero likes it so it can’t be bad” does not help.
Some of us have been “in the field” for decades and don’t like these tools for many reasons, including “the output is unacceptable bad” and “the tools are built in unethical and morally deficient ways”.
It’s not just Linus though. This is the exact position of many devs all over the world, ones who are still doing a good job and have clearly not fallen into AI psychosis.
I’m with OP here. There’s tons to hate about AI, for sure. But there’s also an extreme, people angry over things they have zero personal experience with.
Anyone with this view instantly goes in the “doesnt know wtf they are talking about, skill issue” bin.
“the tools are built in unethical and morally deficient ways”.
For coding, not really tbh. People are also deeply misinformed on this as well.
People are still operating on assumptions of how these tools work like its 2023 and not 2026.
The luddites haven’t been keeping up with the modern standards and probably couldnt even describe the nuance of when to choose a tool vs a skill for an optimization… let alone can speak as to what tools or skills to be using.
If you dont have opinions on how you’ve found stuff like caveman and headroom to work for you, I just straight up dont consider your opinion to be up to date enough to matter.
A big part of my job now is interacting with companies who have only just started to dip their toes into using these tools and so many developers are getting the sudden realization that keeping their head buried in the sand for the past 3 years has ruined their resume.
The difference between devs that at least tried to stay on top of things vs the luddites is palpable.
And on the total other end of the section you have fake devs cosplaying as real ones vis AI-everything but have 0 clue how to actually code.
Only the senior devs who both know how to code and how to use AI efficiently are aggressively outpacing everyone else.
Anyone with this view instantly goes in the “doesnt know wtf they are talking about, skill issue” bin.
Ah, I see painting everyone with one brush. Never mind the numerous studies stating otherwise. Oh the irony when you claim others are spreading misinformation.
“the tools are built in unethical and morally deficient ways”.
For coding, not really tbh. People are also deeply misinformed on this as well.
People are still operating on assumptions of how these tools work like its 2023 and not 2026.
So tell me, what has changed? Are we suddenly not gobbling Up the entire internet without permission to train AI models anymore? I must have missed something… (/s)
Honestly, personally, I tend to agree with Linus on his position, but holy fuck you have your hypocritical nose way up in the air.
20 bucks says this person is basing their stance off that 1 study from a couple years ago where like a dozen developers with 0 experience with AI were tested using it and didnt show an increase in productivity.
Which is, in fact, precisely also what I was referring to when I said “People are still operating on assumptions of how these tools work like its 2023 and not 2026”
People use that study like its some big gotcha when in reality it just proves the simple fact that people need to be trained in how to use a tool in order for the tool to be useful.
So tell me, what has changed?
Dawg is indeed in the "doesnt know wtf they are talking about, skill issue” bin. Imagine unironically asking this question.
If you have to ask, you arent ready to participate in these convos and are just spreading a bunch of uninformed misinfo.
I dont want to talk to someone about this who hasnt put in the work to be informed.
Go get informed first, then come back in a few months and we can chat once you know the answer to that question.
Spot the difference. If you’re so knowledgeable you should be able to figure it out. Mind you, you should have been able to figure it out without my help, but I digress.
Imagine unironically asking this question.
Yeah, imagine how that person (oh wait, that’s me! Hint: you can address me directly) can unironically ask about how the process of training LLMs and the continued use of them potentially violates literally thousands of agreements. The problem is the answer hasn’t changed, as much as you would like to ignore it. If you don’t know that, you have absolutely no business accusing others of being misinformed.
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…
“the only conceivable reason anyone could object is that they’re ignorant” is cultish logic. Adding “my hero likes it so it can’t be bad” does not help.
Some of us have been “in the field” for decades and don’t like these tools for many reasons, including “the output is unacceptable bad” and “the tools are built in unethical and morally deficient ways”.
It’s not just Linus though. This is the exact position of many devs all over the world, ones who are still doing a good job and have clearly not fallen into AI psychosis.
I’m with OP here. There’s tons to hate about AI, for sure. But there’s also an extreme, people angry over things they have zero personal experience with.
Anyone with this view instantly goes in the “doesnt know wtf they are talking about, skill issue” bin.
For coding, not really tbh. People are also deeply misinformed on this as well.
People are still operating on assumptions of how these tools work like its 2023 and not 2026.
The luddites haven’t been keeping up with the modern standards and probably couldnt even describe the nuance of when to choose a tool vs a skill for an optimization… let alone can speak as to what tools or skills to be using.
If you dont have opinions on how you’ve found stuff like caveman and headroom to work for you, I just straight up dont consider your opinion to be up to date enough to matter.
A big part of my job now is interacting with companies who have only just started to dip their toes into using these tools and so many developers are getting the sudden realization that keeping their head buried in the sand for the past 3 years has ruined their resume.
The difference between devs that at least tried to stay on top of things vs the luddites is palpable.
And on the total other end of the section you have fake devs cosplaying as real ones vis AI-everything but have 0 clue how to actually code.
Only the senior devs who both know how to code and how to use AI efficiently are aggressively outpacing everyone else.
Ah, I see painting everyone with one brush. Never mind the numerous studies stating otherwise. Oh the irony when you claim others are spreading misinformation.
So tell me, what has changed? Are we suddenly not gobbling Up the entire internet without permission to train AI models anymore? I must have missed something… (/s)
Honestly, personally, I tend to agree with Linus on his position, but holy fuck you have your hypocritical nose way up in the air.
20 bucks says this person is basing their stance off that 1 study from a couple years ago where like a dozen developers with 0 experience with AI were tested using it and didnt show an increase in productivity.
Which is, in fact, precisely also what I was referring to when I said “People are still operating on assumptions of how these tools work like its 2023 and not 2026”
People use that study like its some big gotcha when in reality it just proves the simple fact that people need to be trained in how to use a tool in order for the tool to be useful.
Dawg is indeed in the "doesnt know wtf they are talking about, skill issue” bin. Imagine unironically asking this question.
If you have to ask, you arent ready to participate in these convos and are just spreading a bunch of uninformed misinfo.
I dont want to talk to someone about this who hasnt put in the work to be informed.
Go get informed first, then come back in a few months and we can chat once you know the answer to that question.
Spot the difference. If you’re so knowledgeable you should be able to figure it out. Mind you, you should have been able to figure it out without my help, but I digress.
Yeah, imagine how that person (oh wait, that’s me! Hint: you can address me directly) can unironically ask about how the process of training LLMs and the continued use of them potentially violates literally thousands of agreements. The problem is the answer hasn’t changed, as much as you would like to ignore it. If you don’t know that, you have absolutely no business accusing others of being misinformed.
If you dont know, you arent prepared to engage in this convo.
Im not interested in discussing this topic with someone who even has to ask, lol.
https://en.wikipedia.org/wiki/Rhetorical_question
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…