Nothing is helpful until you need help. The fact that you think AI is helpful for you don't have to force me to use AI. If you pay me $100k+ per year and you force me to use your tools to do my job why you even hired me ? To force this cult on me or to do the job ?
It's pretty normal for an employer to dictate what tools and applications an employee uses. If you prefer gitlab but your employer requires teamcity, you don't really get a say, right?
However, if you think you can meet your deadlines without using a code generating AI tool, then don't use it. Ideally, if they are as useless as you imply, no one will be able to tell whether you're using it. The conflict should only really appear if they do increase productivity, and you refuse to use them, resulting in less productivity than your peers.
Company will be able to tell if you're using it because companies behind sota models come with monitoring. You will have meeting with hr and your manager when you will be forced to use it even if you meet quotas. They will argument it that maybe you can do more and increase your normal quota with expected ai usage increase in productivity even if you had best productivity in team without ai and your productivity stays the same. Suddenly you will be under performing because you are refusing to use ai so you will be first to fire even if you are best employee. That's how corporations work. They are monitoring usage because it costs them money. For big corporations they pay upfront to get discounts. Company also make many trainings and meetings to encourage everyone use AI models they pay for but nobody wanted.
LLMs are like a dishwashers. You could wash all the dishes yourself and probably get them cleaner in less time, but it’s useful to let a machine do the work, even I though it’s mandatory inspect every single dish to make sure the machine got them clean enough and re-wash a certain percentage of them. Dishwashers are useful, but the world wouldn't end if we didn’t have them. They also have the benefit of using less water than when do them yourself, which certainly isn’t the case with LLMs.
In the same line of thinking, this is why I hand wash my car, because the automatic car wash either does a bad job (touchless) or will scratch the paint up all over (brushes). Many people don't care very much about their cars though, so why put in the effort?
I find unreliable tools to be one of the most infuriating parts of my job, and unfortunately my entire job has effectively pivoted to spending all day babysitting an AI that frequently ignores instructions and can't learn without a ton of expensive fine-tuning training.
I don't let AI touch any of my personal code I care about, and with how much of the code at work is written by AI, it's pretty demoralizing. Why put in any effort designing something if it's just going to get blown away by a coworker's agent the next day?
Arguing with the AI over why its code review is wrong is also a whole other part of my day now...
I work at a sales-first (read: no accountability) software company, ran by inept nepo-babies and a hostile VC. I frequently have to completely re-do all of the sales engineering work when a new project starts, because they refuse to standardize or talk to each other.
After enough time doing this shit by hand, I took my best examples from previous projects and had an agent "fix the errors based on the conventions I established over here". Instead of going line by line on these big serialized data formats now, I do about 10min of checking the results and editing down the change log.
It's wack that I have to re-do someone else's job still, but at least I can force some version of standardization without killing myself on the tedious bits.
I work in government and part of my job is writing memos or documents that nobody will ever read but that some congressional mandate requires me to have on file. I absolutely offload that to AI so I can do my real job.
This is another answer that misunderstands my question. It's changed your job but has it improved the quality of life of the public served by your office ?
With ownership being as concentrated as it is now (more concentrated than during the guilded robber baron age), naturaly, most of the benefit flows to the biggest owners, and AI seems poised to deepen the wealth inequality further.
In a scenario without the insane wealth concentration, and with a dignified and decent economic floor being guaranteed universally, I would be in favor of any AI that does not burn our planet to a crisp and stink up the neighborhood with the gas turbine exhaust.
So in our world as it is, I have to be agaisnt the AI for the foreseeable future.
The other question Suresh implicitly raises is: "How can you reconcile the failure of AI in the enterprise with the individual claims of skilled technologists who insist that AI is helping them do great work?"
Part of the problem is AI isn’t a literal thing with a fixed definition. It’s more of a marketing term that translates into “I want you to buy this thing”. So some things are considered AI that are legitimately useful and others are not and then there’s the debate if wether it’s because it really is AI or if it is and AI just sucks.
In other words, corporate leadership is starting from the premise that AI has (or will) radically change the business, and they’re working backwards from that premise to find the evidence to support this article of faith.
This quote is quite funny in this context, because it's literally what people do with AI. Half of the frontpage of lemmy is AI. The other half is people saying AI is bad with no realization of the irony, because they don't see good AI. It's like CGI. Everybody hates CGI, except they don't. CGI is everywhere. They just hate bad CGI.
What is AI? Explain as if i just woke up from a coma. We don’t have flying cars, we have dumpster deloreans, but everyone is talking about AI. What is it?
Like most things, meaning depends on context. In the most common context of “news about AI” we’re talking about generative AI: image/video generators, LLMs, and to a lesser degree coding assistants. If you want to know more about what these technologies share in common, look up what a “perceptron” is and how it works.
More generally AI could mean anything from a neural network based approach to problem solving, to a completely deterministic, hand coded heuristic. A pure decision tree could be AI in the case of video game NPCs, for example.
AI is any compute model performing complex enough reasoning that the output does not always resemble the input. They are by definition non deterministic and the same ask can provide different outputs without being influenced by other inputs.
OK, but the point still stands if you allow that: It has become impossible to tell managers mesmerised by artificial intelligence that the tools are often not, in fact, helpful.
Sure, although I would phrase it I think a bit more pointedly: "it has become impossible to tell managers mesmerized by artificial intelligence that the tools are not, in fact, capable of what they imagine they are capable of."
This points, rightly, at it being a failure on the part of the managers - not artificial intelligence. And God knows that's spot fucking on.
If you're already experienced developer and you use it skillfully, validate produced code it can help.
If you aren't (and unfortunately everyone thinks they are better than they actually are), it actually can do the opposite, it can help generate a lot of junk code.
Now when working in a team usually majority of people aren't that great developers typically there might be one or two star developers. The problem is that the other people will still use AI and generate MRs. Reviewing those is extremely time consuming and no one wants to do it. It's weird to say what's exactly wrong with those MRs they seem to do things but they seem to do things in a more complicated way.
The thing is that no one wants to review those MRs, everyone is afraid to point AI slop, so the quality of code goes down and even the people who previously were good are getting lost in the code themselves.
It depends on the tool to be honest. If it's Claude code and you're a programmer, sure that's helpful. But often it's an "agentic workflow engine" that's been developed in house that's complete garbage, or a chatbot that doesn't know anything telling you that it can't answer your question that was put together by your company. These custom tools are almost always not helpful.
Doctorow knows this as well, he writes about this crap constantly and has broken it down by user type in other pieces.
They have uses in certain circumstances. They also have lots of negative aspects (that are broader and more systematic, as far as I can see). I think in a net-benefit sense they are not, in fact, helpful (to an organisation, or to a society).
This is stupid. The tools are helpful. Overhyped? Sure. But to pretend they are in no way helpful is just wrong.
Nothing is helpful until you need help. The fact that you think AI is helpful for you don't have to force me to use AI. If you pay me $100k+ per year and you force me to use your tools to do my job why you even hired me ? To force this cult on me or to do the job ?
It's pretty normal for an employer to dictate what tools and applications an employee uses. If you prefer gitlab but your employer requires teamcity, you don't really get a say, right?
However, if you think you can meet your deadlines without using a code generating AI tool, then don't use it. Ideally, if they are as useless as you imply, no one will be able to tell whether you're using it. The conflict should only really appear if they do increase productivity, and you refuse to use them, resulting in less productivity than your peers.
Company will be able to tell if you're using it because companies behind sota models come with monitoring. You will have meeting with hr and your manager when you will be forced to use it even if you meet quotas. They will argument it that maybe you can do more and increase your normal quota with expected ai usage increase in productivity even if you had best productivity in team without ai and your productivity stays the same. Suddenly you will be under performing because you are refusing to use ai so you will be first to fire even if you are best employee. That's how corporations work. They are monitoring usage because it costs them money. For big corporations they pay upfront to get discounts. Company also make many trainings and meetings to encourage everyone use AI models they pay for but nobody wanted.
Honestly if they hired someone who refuses to use AI in 2026 it’s on them.
LLMs are like a dishwashers. You could wash all the dishes yourself and probably get them cleaner in less time, but it’s useful to let a machine do the work, even I though it’s mandatory inspect every single dish to make sure the machine got them clean enough and re-wash a certain percentage of them. Dishwashers are useful, but the world wouldn't end if we didn’t have them. They also have the benefit of using less water than when do them yourself, which certainly isn’t the case with LLMs.
In the same line of thinking, this is why I hand wash my car, because the automatic car wash either does a bad job (touchless) or will scratch the paint up all over (brushes). Many people don't care very much about their cars though, so why put in the effort?
I find unreliable tools to be one of the most infuriating parts of my job, and unfortunately my entire job has effectively pivoted to spending all day babysitting an AI that frequently ignores instructions and can't learn without a ton of expensive fine-tuning training.
I don't let AI touch any of my personal code I care about, and with how much of the code at work is written by AI, it's pretty demoralizing. Why put in any effort designing something if it's just going to get blown away by a coworker's agent the next day?
Arguing with the AI over why its code review is wrong is also a whole other part of my day now...
I'm not necessarily suggesting Doctorow is correct with this assertion, but on a macro scale what productivity gains will generate AI provide?
Yes there's a few skills it's good at coding, medical research, and image recognition being a few.
The genuine question is: has this improved everyone's quality of life?
I work at a sales-first (read: no accountability) software company, ran by inept nepo-babies and a hostile VC. I frequently have to completely re-do all of the sales engineering work when a new project starts, because they refuse to standardize or talk to each other.
After enough time doing this shit by hand, I took my best examples from previous projects and had an agent "fix the errors based on the conventions I established over here". Instead of going line by line on these big serialized data formats now, I do about 10min of checking the results and editing down the change log.
It's wack that I have to re-do someone else's job still, but at least I can force some version of standardization without killing myself on the tedious bits.
I work in government and part of my job is writing memos or documents that nobody will ever read but that some congressional mandate requires me to have on file. I absolutely offload that to AI so I can do my real job.
What a grotesque job this is.
This is another answer that misunderstands my question. It's changed your job but has it improved the quality of life of the public served by your office ?
With ownership being as concentrated as it is now (more concentrated than during the guilded robber baron age), naturaly, most of the benefit flows to the biggest owners, and AI seems poised to deepen the wealth inequality further.
In a scenario without the insane wealth concentration, and with a dignified and decent economic floor being guaranteed universally, I would be in favor of any AI that does not burn our planet to a crisp and stink up the neighborhood with the gas turbine exhaust.
So in our world as it is, I have to be agaisnt the AI for the foreseeable future.
The later section addresses this
Part of the problem is AI isn’t a literal thing with a fixed definition. It’s more of a marketing term that translates into “I want you to buy this thing”. So some things are considered AI that are legitimately useful and others are not and then there’s the debate if wether it’s because it really is AI or if it is and AI just sucks.
This quote is quite funny in this context, because it's literally what people do with AI. Half of the frontpage of lemmy is AI. The other half is people saying AI is bad with no realization of the irony, because they don't see good AI. It's like CGI. Everybody hates CGI, except they don't. CGI is everywhere. They just hate bad CGI.
What is AI? Explain as if i just woke up from a coma. We don’t have flying cars, we have dumpster deloreans, but everyone is talking about AI. What is it?
AI is a vague term used colloquially to describe a variety of dissimilar and unrelated technologies each carrying a unique mixture of pros and cons.
So it doesn’t actually mean anything.
Like most things, meaning depends on context. In the most common context of “news about AI” we’re talking about generative AI: image/video generators, LLMs, and to a lesser degree coding assistants. If you want to know more about what these technologies share in common, look up what a “perceptron” is and how it works.
More generally AI could mean anything from a neural network based approach to problem solving, to a completely deterministic, hand coded heuristic. A pure decision tree could be AI in the case of video game NPCs, for example.
The utility of the term “AI” depends on what you’re trying to communicate.
AI is any compute model performing complex enough reasoning that the output does not always resemble the input. They are by definition non deterministic and the same ask can provide different outputs without being influenced by other inputs.
OK, but the point still stands if you allow that: It has become impossible to tell managers mesmerised by artificial intelligence that the tools are often not, in fact, helpful.
Sure, although I would phrase it I think a bit more pointedly: "it has become impossible to tell managers mesmerized by artificial intelligence that the tools are not, in fact, capable of what they imagine they are capable of."
This points, rightly, at it being a failure on the part of the managers - not artificial intelligence. And God knows that's spot fucking on.
It is a double edged sword.
If you're already experienced developer and you use it skillfully, validate produced code it can help.
If you aren't (and unfortunately everyone thinks they are better than they actually are), it actually can do the opposite, it can help generate a lot of junk code.
Now when working in a team usually majority of people aren't that great developers typically there might be one or two star developers. The problem is that the other people will still use AI and generate MRs. Reviewing those is extremely time consuming and no one wants to do it. It's weird to say what's exactly wrong with those MRs they seem to do things but they seem to do things in a more complicated way.
The thing is that no one wants to review those MRs, everyone is afraid to point AI slop, so the quality of code goes down and even the people who previously were good are getting lost in the code themselves.
It depends on the tool to be honest. If it's Claude code and you're a programmer, sure that's helpful. But often it's an "agentic workflow engine" that's been developed in house that's complete garbage, or a chatbot that doesn't know anything telling you that it can't answer your question that was put together by your company. These custom tools are almost always not helpful.
Doctorow knows this as well, he writes about this crap constantly and has broken it down by user type in other pieces.
They have uses in certain circumstances. They also have lots of negative aspects (that are broader and more systematic, as far as I can see). I think in a net-benefit sense they are not, in fact, helpful (to an organisation, or to a society).