77% Of Employees Report AI Has Increased Workloads And Hampered Productivity, Study Finds

Comments

• barsquid@lemmy.world ⁨3⁩ ⁨months⁩ ago

  Wow shockingly employing a virtual dumbass who is confidently wrong all the time doesn’t help people finish their tasks.

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  • Etterra@lemmy.world ⁨3⁩ ⁨months⁩ ago

    It’s like employing a perpetually high idiot, but more productive while also being less useful. Instead of slow medicine you get fast garbage!

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    • silasmariner@programming.dev ⁨3⁩ ⁨months⁩ ago

      Don’t knock being perpetually high. Some of my best code I wrote in my mid-20s

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  • demizerone@lemmy.world ⁨3⁩ ⁨months⁩ ago

    My dumbass friend who over confidently smart is switch to Linux bcz of open source AI. I can’t wait to see what he learns.

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    • jaybone@lemmy.world ⁨3⁩ ⁨months⁩ ago

      How’s the weather in Moscow?

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    • silasmariner@programming.dev ⁨3⁩ ⁨months⁩ ago

      I have no idea why the engagement with this was down votes. So your friend thinks having an LLM to answer questions will help to learn Linux? I imagine he’s probably right.

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• FartsWithAnAccent@fedia.io ⁨3⁩ ⁨months⁩ ago

  They tried implementing AI in a few our our systems and the results were always fucking useless. Maybe what we call "AI" can be helpful in some ways but I'd bet the vast majority of it is bullshit.

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  • DragonTypeWyvern@midwest.social ⁨3⁩ ⁨months⁩ ago

    The one thing “AI” has improved in my life has been a banking app search function being slightly better.

    Oh, and a porn game did okay with it as an art generator, but the creator was still strangely lazy about it. You’re telling me you can make infinite free pictures of big tittied goth girls and you only included a few?

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    • MindTraveller@lemmy.ca ⁨3⁩ ⁨months⁩ ago

      Generating multiple pictures of the same character is actually pretty hard. For example, let’s say you’re making a visual novel with a bunch of anime girls. You spin up your generative AI, and it gives you a great picture of a girl with a good design in a neutral pose. We’ll call her Alice. Well, now you need a happy Alice, a sad Alice, a horny Alice, an Alice with her face covered with cum, a nude Alice, and a hyper breast expansion Alice. Getting the AI to recreate Alice, who does not exist in the training data, is going to be very difficult even once.

      And all of this is multiplied ten times over if you want granular changes to a character. Let’s say you’re making a fat fetish game and Alice is supposed to gain weight as the player feeds her. Now you need everything I described, at 10 different weights. You’re going to need to be extremely specific with the AI and it’s probably going to produce dozens of incorrect pictures for every time it gets it right. Getting it right might just plain be impossible if the AI doesn’t understand the assignment well enough.

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  • Hackworth@lemmy.world ⁨3⁩ ⁨months⁩ ago

    What were you trying to accomplish?

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    • FartsWithAnAccent@fedia.io ⁨3⁩ ⁨months⁩ ago

      Looking like they were doing something with AI, no joke.

      One example was "Freddy", an AI for a ticketing system called Freshdesk: It would try to suggest other tickets it thought were related or helpful but they were, not one fucking time, related or helpful.

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  • speeding_slug@feddit.nl ⁨3⁩ ⁨months⁩ ago

    To not even consider the consequences of deploying systems that may farm your company data in order to train their models “to better serve you”. Like, what the hell guys?

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  • menemen@lemmy.world ⁨3⁩ ⁨months⁩ ago

    It is great for pattern recognition (we use it to recognize damages in pipes) and probably pattern reproduction (never used it for that). Haven’t really seen much other real life value.

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• lvxferre@mander.xyz ⁨3⁩ ⁨months⁩ ago

  Large “language” models decreased my workload for translation. There’s a catch though: I choose when to use it, instead of being required to use it even when it doesn’t make sense and/or where I know that the output will be shitty.

  And, if my guess is correct, those 77% are caused by overexcited decision takers in corporations trying to shove AI down every single step of the production.

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  • bitfucker@programming.dev ⁨3⁩ ⁨months⁩ ago

    I always said this in many forums yet people can’t accept that the best use case of LLM is translation. Even for language such as japanese. There is a limit for sure, but so does human translation without adding many more texts to explain the nuance in the translation. At that point an essay is needed to dissect out the entire meaning of something and not just translation.

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    • lvxferre@mander.xyz ⁨3⁩ ⁨months⁩ ago

      I’ve seen programmers claiming that it helps them out, too. Mostly to give you an idea on how to tackle a problem, instead of copypasting the solution (as it’ll likely not work).

      My main use of the system is

      1. Probing vocab to find the right word in a given context.
      2. Fancy conjugation/declension table.
      3. Spell-proofing.

      It works better than going to Wiktionary all the time, or staring my work until I happen to find some misspelling (like German das vs. dass, since both are legit words spellcheckers don’t pick it up).

      One thing to watch out for is that the translation will be more often than not tone-deaf, so you’re better off not wasting your time with longer strings unless you’re fine with something really sloppy, or you can provide it more context. The later however takes effort.

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• GreatAlbatross@feddit.uk ⁨3⁩ ⁨months⁩ ago

  The workload that’s starting now, is spotting bad code written by colleagues using AI, and persuading them to re-write it.

  “But it works!”

  ‘It pulls in 15 libraries, 2 of which you need to manually install beforehand, to achieve something you can do in 5 lines using this default library’

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  • JackbyDev@programming.dev ⁨3⁩ ⁨months⁩ ago

    I was trying to find out how to get human readable timestamps from my shell history. They gave me this crazy script. It worked but it was super slow. Later I learned you could do history -i.

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    • GreatAlbatross@feddit.uk ⁨3⁩ ⁨months⁩ ago

      Turns out, a lot of the problems in nixland were solved 3 decades ago with a single flag of built-in utilities.

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    • bricklove@midwest.social ⁨3⁩ ⁨months⁩ ago

      I didn’t know about this. Thank you for the knowledge fellow human!

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    • trolololol@lemmy.world ⁨3⁩ ⁨months⁩ ago

      I don’t run crazy scripts in my machine. If I don’t understand it’s not safe enough.

      That’s how you get pranked and hacked

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  • andallthat@lemmy.world ⁨3⁩ ⁨months⁩ ago

    TBH those same colleagues were probably just copy/pasting code from the first google result or stackoverflow answer, so arguably AI did make them more productive at what they do

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    • skillissuer@discuss.tchncs.de ⁨3⁩ ⁨months⁩ ago

      yay!! do more stupid shit faster and with more baseless confidence!

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    • rozodru@lemmy.world ⁨3⁩ ⁨months⁩ ago

      2012 me feels personally called out by this. fuck 2012 me that lazy fucker. stackoverflow was my “get out of work early and hit the bar” card.

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  • ILikeBoobies@lemmy.ca ⁨3⁩ ⁨months⁩ ago

    I asked it to spot a typo in my code, it worked but it rewrote my classes for each function that called them

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    • morbidcactus@lemmy.ca ⁨3⁩ ⁨months⁩ ago

      I gave it a fair shake after my team members were raving about it saving time last year, I tried a SFTP function and some Terraform modules and man both of them just didn’t work. it did however do a really solid job of explaining some data operation functions I wrote, which I was really happy to see. I do try to add a detail block to my functions and be explicit with typing where appropriate so that probably helped some but yeah, was actually impressed by that. For generation though, maybe it’s better now, but I still prefer to pull up the documentation as I spent more time debugging the crap it gave me than piecing together myself.

      I’d use a llm tool for interactive documentation and reverse engineering aids though, I personally think that’s where it shines, otherwise I’m not sold on the “gen ai will somehow fix all your problems” hype train.

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  • dejected_warp_core@lemmy.world ⁨3⁩ ⁨months⁩ ago

    But I don’t like using Argparse!

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• Nobody@lemmy.world ⁨3⁩ ⁨months⁩ ago

  You mean the multi-billion dollar, souped-up autocorrect might not actually be able to replace the human workforce? I am shocked, shocked I say!

  Do you think Sam Altman might have… gasp lied to his investors about its capabilities?

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  • SlopppyEngineer@lemmy.world ⁨3⁩ ⁨months⁩ ago

    Nooooo. I mean, we have about 80 years of history into AI research and the field is just full of overhyped promised that this particularly teach is the holy grail of AI to end in disappointment each time, but this time will be different! /s

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  • Hackworth@lemmy.world ⁨3⁩ ⁨months⁩ ago

    The article doesn’t mention OpenAI, GPT, or Altman.

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    • Nobody@lemmy.world ⁨3⁩ ⁨months⁩ ago

      Yeah, OpenAI, ChatGPT, and Sam Altman have no relevance to AI LLMs. No idea what I was thinking.

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    • FaceDeer@fedia.io ⁨3⁩ ⁨months⁩ ago

      Aha, so this must all be Elon's fault! And Microsoft!

      There are lots of whipping boys these days that one can leap to criticize and get free upvotes.

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• cheddar@programming.dev ⁨3⁩ ⁨months⁩ ago

  Me: no way, AI is very helpful, and if it doesn’t then don’t use it

  created challenges in achieving the expected productivity gains

  achieving the expected productivity gains

  Me: oh, that explains the issue.

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  • Bakkoda@sh.itjust.works ⁨3⁩ ⁨months⁩ ago

    It’s hilarious to watch it used well and then human nature just kick in

    We started using some “smart tools” for scheduling manufacturing and it’s honestly been really really great and highlighted some shortcomings that we could easily attack and get easy high reward/low risk CAPAs out of.

    Company decided to continue using the scheduling setup but not invest in a single opportunity we discovered which includes simple people processes. Took exactly 0 wins. Fuckin amazing.

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    • Croquette@sh.itjust.works ⁨3⁩ ⁨months⁩ ago

      Yeah but they didn’t have a line for that in their excel sheet, so how are they supposed to find that money?

      Bean counters hate nothing more than imprecise cost saving. Are they gonna save 100k in the next year? 200k? We can’t have that imprecision now can we?

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    • dejected_warp_core@lemmy.world ⁨3⁩ ⁨months⁩ ago

      Honestly, this sounds like the analysis uncovered some managerial failings and so they buried the results; a cover-up.

      Also, and I have yet to understand this, but selling “people space” solutions to very technically/engineering-inclined management is incredibly hard to do. Almost like there’s a typical blind spot for solving problems outside their area of expertise. I hate generalizing like this but I’ve seen this happen many times, at many workplaces, over many years.

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  • andallthat@lemmy.world ⁨3⁩ ⁨months⁩ ago

    AKA “shit, looks like now we need to re-hire some of those engineers”

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• PanArab@lemm.ee ⁨3⁩ ⁨months⁩ ago

  The trick is to be the one scamming your management with AI.

  “The model is still training…”

  “We will solve this <unsolvable problem> with Machine Learning”

  “The performance is great on my machine but we still not to optimize it for mobile devices”

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  • ICastFist@programming.dev ⁨3⁩ ⁨months⁩ ago

    Not working and getting paid? Sounds like you just became a high level manager

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  • dejected_warp_core@lemmy.world ⁨3⁩ ⁨months⁩ ago

    That’s nothing. Show them the cloud bill for all this. They’ll probably ask you to slow down.

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• Hackworth@lemmy.world ⁨3⁩ ⁨months⁩ ago

  I have the opposite problem. Gen A.I. has tripled my productivity, but the C-suite here is barely catching up to 2005.

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  • cheese_greater@lemmy.world ⁨3⁩ ⁨months⁩ ago

    Have you tripled your billing/salary? Stop being a scab lol

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    • Hackworth@lemmy.world ⁨3⁩ ⁨months⁩ ago

      The opposite, actually, I requested a reduction in hours and pay to work on my own AI stuff.

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  • themurphy@lemmy.ml ⁨3⁩ ⁨months⁩ ago

    Same, I’ve automated alot of my tasks with AI. No way 77% is “hampered” by it.

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    • Hackworth@lemmy.world ⁨3⁩ ⁨months⁩ ago

      I dunno, mishandling of AI can be worse than avoiding it entirely. There’s a middle manager here that runs everything her direct-report copywriter sends through ChatGPT, then sends the response back as a revision. She doesn’t add any context to the prompt, say who the audience is, or use the custom GPT that I made and shared. That copywriter is definitely hampered, but it’s not by AI, really, just run-of-the-mill manager PEBKAC.

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    • cikano@lemmy.world ⁨3⁩ ⁨months⁩ ago

      What have you actually replaced/automated with AI?

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    • FaceDeer@fedia.io ⁨3⁩ ⁨months⁩ ago

      A lot of people are keen to hear that AI is bad, though, so the clicks go through on articles like this anyway.

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    • Cryophilia@lemmy.world ⁨3⁩ ⁨months⁩ ago

      This may come as a shock to you, but the vast majority of the world does not work in tech.

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  • Churbleyimyam@lemm.ee ⁨3⁩ ⁨months⁩ ago

    What do you do, just out of interest?

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    • Hackworth@lemmy.world ⁨3⁩ ⁨months⁩ ago

      Soup to nuts video production.

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• TrickDacy@lemmy.world ⁨3⁩ ⁨months⁩ ago

  AI is stupidly used a lot but this seems odd. For me GitHub copilot has sped up writing code. Hard to say how much but it definitely saves me seconds several times per day. It certainly hasn’t made my workload more…

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  • Cryophilia@lemmy.world ⁨3⁩ ⁨months⁩ ago

    Probably because the vast majority of the workforce does not work in tech but has had these clunky, failure-prone tools foisted on them by tech. Companies are inserting AI into everything, so what used to be a problem that could be solved in 5 steps now takes 6 steps, with the new step being “figure out how to bypass the AI to get to the actual human who can fix my problem”.

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    • jubilationtcornpone@sh.itjust.works ⁨3⁩ ⁨months⁩ ago

      I’ve thought for a long time that there are a ton of legitimate business problems out there that could be solved with software. Not with AI. AI isn’t necessary, or even helpful, in most of these situations. The problem is that creatibg meaningful solutions requires the people who write the checks to actually understand some of these problems. I can count on one hand the number of business executives that I’ve met who were actually capable of that.

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  • Cosmicomical@lemmy.world ⁨3⁩ ⁨months⁩ ago

    For anything more that basic autocomplete, copilot has only given me broken code. Not even subtly broken, just stupidly wrong stuff.

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  • HakFoo@lemmy.sdf.org ⁨3⁩ ⁨months⁩ ago

    They’ve got a guy at work whose job title is basically AI Evangelist. This is terrifying in that it’s a financial tech firm handling twelve figures a year of business-- the last place where people will put up with “plausible bullshit” in their products.

    I grudgingly installed the Copilot plugin, but I’m not sure what it can do for me better than a snippet library.

    I asked it to generate a test suite for a function, as a rudimentary exercise, so it was able to identify “yes, there are n return values, so write n test cases” and “You’re going to actually have to CALL the function under test”, but was unable to figure out how to build the object being fed in to trigger any of those cases; to do so would require grokking much of the code base. I didn’t need to burn half a barrel of oil for that.

    I’d be hesitant to trust it with “summarize this obtuse spec document” when half the time said documents are self-contradictory or downright wrong. Again, plausible bullshit isn’t suitable.

    Maybe the problem is that I’m too close to the specific problem. AI tooling might be better for open-ended or free-association “why not try glue on pizza” type discussions, but when you already know “send exactly 4-7-Q-unicorn emoji in this field or the transaction is converted from USD to KPW” having to coax the machine to come to that conclusion 100% of the time is harder than just doing it yourself.

    I can see the marketing and sales people love it, maybe customer service too, click one button and take one coherent “here’s why it’s broken” sentence and turn it into 500 words of flowery says-nothing prose, but I demand better from my machine overlords.

    Tell me when Stable Diffusion figures out that “Carrying battleaxe” doesn’t mean “katana randomly jutting out from forearms”, maybe at that point AI will be good enough for code.

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    • okwhateverdude@lemmy.world ⁨3⁩ ⁨months⁩ ago

      Maybe the problem is that I’m too close to the specific problem. AI tooling might be better for open-ended or free-association “why not try glue on pizza” type discussions, but when you already know “send exactly 4-7-Q-unicorn emoji in this field or the transaction is converted from USD to KPW” having to coax the machine to come to that conclusion 100% of the time is harder than just doing it yourself.

      I, too, work in fintech. I agree with this analysis. That said, we currently have a large mishmash of regexes doing classification and they aren’t bulletproof. It would be useful to see about using something a fine-tuned BERT model for doing classification for transactions that passed through the regex net without getting classified. And the PoC would be would be just context stuffing some examples for a few-shot prompt of an LLM and a constrained grammar (just the classification, plz). Because our finance generalists basically have to do this same process, and it would be nice to augment their productivity with a hint: “The computer thinks it might be this kinda transaction”

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    • merc@sh.itjust.works ⁨3⁩ ⁨months⁩ ago

      I’d be hesitant to trust it with “summarize this obtuse spec document” when half the time said documents are self-contradictory or downright wrong. Again, plausible bullshit isn’t suitable.

      That’s why I have my doubts when people say it’s saving them a lot of time or effort. I suspect it’s planting bombs that they simply haven’t yet found. Like it generated code and the code seemed to work when they ran it, but it contains a subtle bug that will only be discovered later. And the process of tracking down that bug will completely wreck any gains they got from using the LLM in the first place.

      Same with the people who are actually using it on human languages. Like, I heard a story of a government that was overwhelmed with public comments or something, so they were using an LLM to summarize those so they didn’t have to hire additional workers to read the comments and summarize them. Sure… and maybe it’s relatively close to what people are saying 95% of the time. But 5% of the time it’s going to completely miss a critical detail. So, you go from not having time to read all the public comments so not being sure what people are saying, to having an LLM give you false confidence that you know what people are saying even though the LLM screwed up its summary.

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    • rottingleaf@lemmy.world ⁨3⁩ ⁨months⁩ ago

      Again, plausible bullshit isn’t suitable.

      It is suitable when you’re the one producing the bullshit and you only need it accepted.

      Which is what people pushing for this are. Their jobs and occupations are tolerant to just imitating, so they think that for some reason it works with airplanes, railroads, computers.

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  • toddestan@lemm.ee ⁨3⁩ ⁨months⁩ ago

    Github Copilot is about the only AI tool I’ve used at work so far. I’d say it overall speeds things up, particularly with boilerplate type code that it can just bang out reducing a lot of the tedious but not particularly difficult coding. For more complicated things it can also be helpful, but I find it’s also pretty good at suggesting things that look correct at a glance, but are actually subtly wrong. Leading to either having to carefully double check what it suggests, or having fix bugs in code that I wrote but didn’t actually write.

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    • TrickDacy@lemmy.world ⁨3⁩ ⁨months⁩ ago

      Every time I’ve discussed this on Lemmy someone says something like this. I haven’t usually had that problem. If something it suggests seems like more than something I can quickly verify is intended, I just ignore it. I don’t know why I am the only person who has good luck with this tech but I certainly do. Maybe it’s just that I don’t expect it to work perfectly. I expect it to be flawed because how could it not be? Every time it saves me from typing three tedious lines of code it feels like a miracle to me.

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  • ripcord@lemmy.world ⁨3⁩ ⁨months⁩ ago

    I’ll say that so far I’ve been pretty unimpressed by Codeium.

    At the very most it has given me a few minutes total of value in the last 4 months.

    Ive gotten some benefit from various generic chat LLMs like ChatGPT but most of that has been somewhat improved versions of the kind of info I was getting from Stackexchange threads and the like.

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    • TrickDacy@lemmy.world ⁨3⁩ ⁨months⁩ ago

      I have never heard of Codeium but it says it’s free, which may explain why it sucks. Copilot is excellent. Completely life changing, no. That’s not the goal. The goal is to reduce the manual writing of predictable and boring lines of code and it succeeds at that.

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    • jj4211@lemmy.world ⁨3⁩ ⁨months⁩ ago

      I presume it depends on the area you would be working with and what technologies you are working with. I assume it does better for some popular things that tend to be very verbose and tedious.

      My experience including with a copilot trial has been like yours, a bit underwhelming. But I assume others must be getting benefit.

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  • Melvin_Ferd@lemmy.world ⁨3⁩ ⁨months⁩ ago

    For some reason media has been anti AI and only writed hit pieces on it. And then we all rabble rouse about the headline as if it’s facts. It’s the left version of articles like “locals report uptick of beach shitting”

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• Sk1ll_Issue@feddit.nl ⁨3⁩ ⁨months⁩ ago

  The study identifies a disconnect between the high expectations of managers and the actual experiences of employees

  Did we really need a study for that?

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  • postmateDumbass@lemmy.world ⁨3⁩ ⁨months⁩ ago

    Knock on effect: employees trying to google answers to simpler questions also stymied by AI.

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• MonkderVierte@lemmy.ml ⁨3⁩ ⁨months⁩ ago

  The study identifies a disconnect between the high expectations of managers and the actual experiences of employees using AI.

  Image

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  • Meron35@lemmy.world ⁨3⁩ ⁨months⁩ ago

    The study identifies a disconnect between the high expectations of managers and the actual experiences of employees using AI.

    FTFY

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• iAvicenna@lemmy.world ⁨3⁩ ⁨months⁩ ago

  because on top of your duties you now have to check whatever the AI is doing in place of the employee it has replaced

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• alienanimals@lemmy.world ⁨3⁩ ⁨months⁩ ago

  The billionaire owner class continues to treat everyone like shit. They blame AI and the idiots eat it up.

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• pineapplelover@lemm.ee ⁨3⁩ ⁨months⁩ ago

  If used correctly, AI can be helpful and can assist in easy and menial tasks

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  • jjjalljs@ttrpg.network ⁨3⁩ ⁨months⁩ ago

    I mean if it’s easy you can probably script it with some other tool.

    “I have a list of IDs and need to make them links to our internal tool’s pages” is easy and doesn’t need AI. That’s something a product guy was struggling with and I solved in like 30 seconds with a Google sheet and concatenation

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  • hswolf@lemmy.world ⁨3⁩ ⁨months⁩ ago

    It also helps you getting a starting point when you don’t know how ask a search engine the right question.

    But people misinterpret its usefulness and think It can handle complex and context heavy problems, which must of the time will result in hallucinated crap.

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  • captainlezbian@lemmy.world ⁨3⁩ ⁨months⁩ ago

    And are those use cases common and publicized? Because I see it being advertised as “improves productivity” for a novel tool with myriad uses I expect those trying to sell it to me to give me some vignettes and not to just tell my boss it’ll improve my productivity. And if I was in management I’d want to know how it’ll do that beyond just saying “it’ll assist in easy and menial tasks”. Will it be easier than doing them? Many tools can improve efficiency on a task at a similar time and energy investment to the return. Are those tasks really so common? Will other tools be worse?

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• _sideffect@lemmy.world ⁨3⁩ ⁨months⁩ ago

  Lmao, so instead of ai taking our jobs, it made us MORE jobs.

  Thanks, “ai”!

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• tvbusy@lemmy.dbzer0.com ⁨3⁩ ⁨months⁩ ago

  This study failed to take into consideration the need to feed information to AI. Companies now prioritize feeding information to AI over actually making it usable for humans. Who cares about analyzing the data? Just give it to AI to figure out. Now data cannot be analyzed by humans? Just ask AI. It can’t figure out? Give it more so it can figure it out. Rinse, repeat. This is a race to the bottom where information is useless to humans.

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• JohnnyH842@lemmy.world ⁨3⁩ ⁨months⁩ ago

  Admittedly I only skimmed the article, but I think one of the major problems with a study like this is how broad “AI” really is. MS copilot is just bing search in a different form unless you have it hooked up to your organizations data stores, collaboration platforms, productivity applications etc. and is not really helpful at all. Lots of companies I speak with are in a pilot phase of copilot which doesn’t really show much value because it doesn’t have access to the organizations data because it’s a big security challenge. On the other hand, a chat bot inside of a specific product that is trained on that product specifically and has access to the data that it needs to return valuable answers to prompts that it can assist in writing can be pretty powerful.

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• superkret@feddit.org ⁨3⁩ ⁨months⁩ ago

  The other 23% were replaced by AI (actually, their workload was added to that of the 77% now)

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• Sanctus@lemmy.world ⁨3⁩ ⁨months⁩ ago

  AI is better when I use it for item generation. It kicks ass at generating loot drops for encounters. All I really have to do is adjust item names if its not a mundane weapon. I do occasionally change an item completely cause its effects can get bland. But dont do much more than that.

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• FiniteBanjo@lemmy.today ⁨3⁩ ⁨months⁩ ago

  But But But

  It’s made my job so much simpler! Obviously it can’t do your whole job and you should never expect it to, but for simple tasks like generating a simple script or setting up an array it BLAH BLAH BLAH, get fucked AI Techbros lmao

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• rimu@piefed.social ⁨3⁩ ⁨months⁩ ago

  This is an upwork press release. Typical forbes.

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• dezmd@lemmy.world ⁨3⁩ ⁨months⁩ ago

  The Upwork Research Institute

  Lol, not exactly a panacea of rigorous scientific study.

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• Phoenix3875@lemmy.world ⁨3⁩ ⁨months⁩ ago

  The link to the study is just a “Paid Search Ad” page. Ouch for the professionalism of Forbes.

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• Melvin_Ferd@lemmy.world ⁨3⁩ ⁨months⁩ ago

  You all are nuts for not seeing this article for what it is

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