It has become impossible to tell managers mesmerised by artificial intelligence that the tools are not, in fact, helpful. So employees just play along with the fiction to keep their jobs, writes our tech columnist
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.
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?”
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.
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.
It’s improved mine. I save hours (that I didn’t really have anyhow) on meaningless tedium. I thought that was pretty obviously implied though?
Maybe it helps to say that this was in no way forced on me. The stuff my employer has done to “adapt AI” is laughable and seemed to be nothing more than lip service to the execs who want to slap that sticker on the product.
The gains for me personally have been strictly using it as a tool in niche situations. I prefer to do things the hard way when it’s for me but I’m not breaking my back for a corporation.
You’re getting direct examples of people its helped, and you keep brushing it off and asking what about everybody else. You’re obviously not going to get a single answer that affects everybody, and why do small successes not matter?
No one here is saying AI has reduce their workload so now they spend half their time catching butterflies.
The answers are all saying that AI has automated some mundane task that wasn’t particularly important, and now they can spend their time doing something more interesting.
Is the changes to their role, multiplied by millions of employees, actually better for humanity or society?
In a way, this is what Doctorow is arguing: where is the data showing the productivity gains.
My follow up question is, how are these productivity gains being used, if they exist.
Aren’t you assuming productivity gains will lead to free time? Why? It never has. Most of us work a fixed amount of time and get paid for that time. Not the amount of tasks we finish if that can even be measured or measurable.
Salaries have also not increased with increased productivity long before chatbots came online. So they won’t suddenly increase now.
AI is much more just like a new laptop you get from work. The new device is faster, has more RAM and allows you to do more, potentially.
The big question is, if the purchase was worth it. Unlike a new laptop, LLMs are an ongoing cost to users and providers. Nobody except for GPU producers are actually making money right now. Hyperscalers make some of the money back they themselves invested into the companies using their services, but in the end the ROI looks pretty dim for anyone.
So even if there are real productivity gains, you won’t see people relax with their kids more. And even if these gains are significant they may not prevent a huge economic collapse so we all will have plenty of time with our kids in the end anyway.
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 ?
Not yet because people are still learning how to use it, but im literally ten times more organized than i was before i started using AI to automate notetaking planning calendaring all that.
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.
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 ?
I don’t need you to use you turn signals, but it’s helpful. I’m pretty sure I could come up with a multitude of situations where your first sentence is refuted without contest.
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.
I’d say it’s more like a way to describe a certain kind of algorithm. One that adapts in some way to inputs that defy easy classification. Ultimately you’re probably just safe to replace AI in modern news and internet discussion with LLM or CNN.
Since that was a lazy question I decided to be lazy and just copy paste it into Gemini. Enjoy! I have no idea what the point of this is!
Artificial Intelligence isn’t a single technology; it has been a massive umbrella term since the 1950s. Broadly, it means creating computer systems capable of performing tasks that typically require human intelligence.
If LLMs are just one tiny branch on the tree, here is what the rest of the tree looks like:
Machine Learning (ML): This is the engine driving most modern AI. Instead of a human programmer writing strict "if/then" rules, we feed the computer massive amounts of data and let it figure out the rules itself. This is what powers your Netflix recommendations, credit card fraud detection, and the algorithm deciding what you see on social media.
Computer Vision: Teaching computers to "see" and interpret the visual world. This is how self-driving cars identify stop signs versus pedestrians, how your phone unlocks when it sees your face, and how medical software spots anomalies in X-rays faster than human doctors.
Robotics: The physical application of AI. This isn't just mechanical engineering; it is the software that allows a machine to navigate the unpredictable, physical world. This covers everything from the Roomba vacuuming your floor to automated factory arms and those creepy, dog-like robots from Boston Dynamics.
Natural Language Processing (NLP): This is the branch focused on understanding and generating human language. LLMs live here, but so do older, simpler technologies like spellcheck, Google Translate, and the early versions of Siri or Alexa.
Expert Systems & Rule-Based AI: This is the older, "classic" AI. It relies on a massive database of human knowledge programmed as logical rules. When the IBM computer Deep Blue beat the world chess champion in 1997, it wasn't using an LLM; it was using raw computational power to calculate millions of possible moves and their outcomes based on strict rules.
Predictive Analytics & Optimization: The invisible math running the modern world. This is AI used by logistics companies to find the absolute most efficient routes for delivery trucks, or by hedge funds to execute high-frequency stock trades based on market micro-fluctuations.
I asked the question to demonstrate something. You didn’t want to participle in the discussion and that’s fine, but that doesn’t mean the question is “lazy”
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.
This is stupid. The tools are helpful. Overhyped? Sure. But to pretend they are in no way helpful is just wrong.
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.
The later section addresses this
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?
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.
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.
That doesn’t really answer my question. It’s changed your job, but has it improved your customers quality of life?
It’s improved mine. I save hours (that I didn’t really have anyhow) on meaningless tedium. I thought that was pretty obviously implied though?
Maybe it helps to say that this was in no way forced on me. The stuff my employer has done to “adapt AI” is laughable and seemed to be nothing more than lip service to the execs who want to slap that sticker on the product.
The gains for me personally have been strictly using it as a tool in niche situations. I prefer to do things the hard way when it’s for me but I’m not breaking my back for a corporation.
You’re getting direct examples of people its helped, and you keep brushing it off and asking what about everybody else. You’re obviously not going to get a single answer that affects everybody, and why do small successes not matter?
Because they’re not really successes.
No one here is saying AI has reduce their workload so now they spend half their time catching butterflies.
The answers are all saying that AI has automated some mundane task that wasn’t particularly important, and now they can spend their time doing something more interesting.
Is the changes to their role, multiplied by millions of employees, actually better for humanity or society?
In a way, this is what Doctorow is arguing: where is the data showing the productivity gains.
My follow up question is, how are these productivity gains being used, if they exist.
Aren’t you assuming productivity gains will lead to free time? Why? It never has. Most of us work a fixed amount of time and get paid for that time. Not the amount of tasks we finish if that can even be measured or measurable.
Salaries have also not increased with increased productivity long before chatbots came online. So they won’t suddenly increase now.
AI is much more just like a new laptop you get from work. The new device is faster, has more RAM and allows you to do more, potentially.
The big question is, if the purchase was worth it. Unlike a new laptop, LLMs are an ongoing cost to users and providers. Nobody except for GPU producers are actually making money right now. Hyperscalers make some of the money back they themselves invested into the companies using their services, but in the end the ROI looks pretty dim for anyone.
So even if there are real productivity gains, you won’t see people relax with their kids more. And even if these gains are significant they may not prevent a huge economic collapse so we all will have plenty of time with our kids in the end anyway.
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 ?
Not yet because people are still learning how to use it, but im literally ten times more organized than i was before i started using AI to automate notetaking planning calendaring all that.
I’m happy for you but isn’t really an answer.
“Not yet” isn’t an answer??
It’s a response but when provided as an answer to the question “is AI a net benefit to society” then it’s a “no”.
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.
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 ?
I don’t need you to use you turn signals, but it’s helpful. I’m pretty sure I could come up with a multitude of situations where your first sentence is refuted without contest.
I thought the turn signals were required by law
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.
So it’s a new synonym for algorithm.
I’d say it’s more like a way to describe a certain kind of algorithm. One that adapts in some way to inputs that defy easy classification. Ultimately you’re probably just safe to replace AI in modern news and internet discussion with LLM or CNN.
Not quite. Algorithms are definite, you get the same guaranteed output if you give the same input every time. AI is generally more fuzzy logic.
The utility of the term “AI” depends on what you’re trying to communicate.
Since that was a lazy question I decided to be lazy and just copy paste it into Gemini. Enjoy! I have no idea what the point of this is!
Artificial Intelligence isn’t a single technology; it has been a massive umbrella term since the 1950s. Broadly, it means creating computer systems capable of performing tasks that typically require human intelligence.
If LLMs are just one tiny branch on the tree, here is what the rest of the tree looks like:
I asked the question to demonstrate something. You didn’t want to participle in the discussion and that’s fine, but that doesn’t mean the question is “lazy”
I didn’t provide you with an answer to your question?
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.
So its a lottery
No