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[–] 41 points 1 month ago (74 children)

It has become impossible to tell managers mesmerised by artificial intelligence that the tools are not, in fact, helpful.

This is stupid. The tools are helpful. Overhyped? Sure. But to pretend they are in no way helpful is just wrong.

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  • [–] 23 points 1 month ago (14 children)

    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 ?

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  • [–] 6 points 1 month ago (8 children)

    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.

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  • [–] 3 points 1 month ago

    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.

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  • [–] 12 points 1 month ago* (last edited 1 month ago) (1 child)

    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.

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  • [–] 4 points 1 month ago

    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...

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  • [–] 11 points 1 month ago (24 children)

    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?

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  • [–] 6 points 1 month ago (14 children)

    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.

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  • [–] 4 points 1 month ago* (last edited 1 month ago)

    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.

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  • [–] 9 points 1 month ago (24 children)

    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.

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  • [–] 8 points 1 month ago

    The later section addresses this

    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?"

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  • [–] [S] 6 points 1 month ago (1 child)

    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.

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  • [–] 8 points 1 month ago

    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.

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  • [–] 2 points 1 month ago

    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.

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  • [–] 1 point 1 month ago

    I have tons of random receipts that come in every month that need to be captured, memoed, categorized and sent off to finance.

    I made python to read image/pdf/whatever to text, easy.

    I regex the value out, hard and fragile

    I try to pull the vendors name out, just not reliable

    Category... nearly impossible so i need to make some form of memory system to remember once I do it.

    Python renames the file with input if it needs it and provides the meta

    OR

    python to text because it's effciient

    api call to Ollama and let my old 2070 work it out. (highly reliable)

    python renames the file and provides the meta

    It's small, low power, hard to do with code, basically the perfect use case. This is a good use of AI

    Go Rewrite FFMPEG in Rust.... that's a bad use of AI.

    There's a lot of people out there using it in ways that cost a lot more than human eyes and have horrible societal and environmental impacts.

    There's a lot of people using it for dictation, document triage and basic scripting where it has great advantages and isn't making the world a worse place.

    His article is at odds with a great deal of his book. I wonder if this isn't just a grab to get hardcore anti-ai to buy it.

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  • [–] 1 point 1 month ago

    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).

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