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It Took Many Years And Billions Of Dollars, But Microsoft Finally Invented A Calculator That Is Wrong Sometimes

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  • You really can’t imagine why corporations and political groups who spend billions paying people to manufacture narratives and flood feeds might hate the idea of ordinary people suddenly having their own free, on-demand content factory, fact-checker, and megaphone?

    That's on both sides of the political spectrum.
    These AI tools are not just Google chat. You can build with them rapidly. Is it some revolutionary thing? No

    But can it be a game changer in some areas? Absolutely.

    They moved rapidly with the media on this. Compare headlines for AI to any other yellow journalistic topic. They're identical

    In favour of AI absolutely, against it, no I can't. What group would want to disvalue AI, after all most of the big tech companies are developing their own. They would want people to use AI, that's the only way they make a profit.

    You keep providing these vague justifications for your belief but you never actually provide a concrete answer.

    Which groups in particular do you think are paying people to astroturf with negative AI comments? Which actual organisations, which companys? Do you have evidence for this beyond "lots of people on a technically inclined forum don't like it" because that seems to be a fairly self-selecting set. You are seeing patterns in the clouds and are insisting that they are meaningful.

  • Give Microsoft some credit! Excel has been able to come up with wrong answers for decades. For example, reporting 1900 as a leap year.

    That was partly a result of seeking explicit compatibility with Lotus, IIRC.

  • Money quote:

    Excel requires some skill to use (to the point where high-level Excel is a competitive sport), and AI is mostly an exercise in deskilling its users and humanity at large.

    This is such a misguided article, sorry.

    Obviously you’d be an idiot to use AI to number crunch.

    But AI can be extremely useful for sentence analytics. For example, if you’re trying to classify user feedback as positive or negative and then derive categories from the masses of text and squash the text into those categories.

    Google Sheets already does tonnes of this and we’re not writing articles about it.

  • apparently you should be able to run any windows app with WinApps on linux, but I think they have a bug or something right now because I haven't been able to get it to work.

    The problem is that they are still Microsoft applications. You can’t say “I’ll leave Microsoft!” and run their software in a Windows simulator anyway. That would be … inaccurate, to say the least.

  • That's my thinking

    If you know what you're doing, it's significantly easier to do it yourself

    You at least have some reassurance it's correct (or at least thought through)

    Verification is important, but I think you're omitting from your imagination a real and large category of people who have a basic familiarity with spreadsheets and computers, so are able to understand a potential solution and see whether it makes sense, but who do not have the ability to quickly come up with it themselves.

    In language it's the difference between receptive and productive vocabulary: there are words which you understand but which you would never say or write because they're part of your receptive, but not productive knowledge.

    There are times when this will go wrong, because the LLM will can produce something plausible but incorrect and such a person will fail to spot it. And of course if you blindly trust it with something you're not actually capable of (or willing to) check then you will also get bad results.

  • Money quote:

    Excel requires some skill to use (to the point where high-level Excel is a competitive sport), and AI is mostly an exercise in deskilling its users and humanity at large.

    Intel already did that in the 90's with the FDIV bug.

  • In favour of AI absolutely, against it, no I can't. What group would want to disvalue AI, after all most of the big tech companies are developing their own. They would want people to use AI, that's the only way they make a profit.

    You keep providing these vague justifications for your belief but you never actually provide a concrete answer.

    Which groups in particular do you think are paying people to astroturf with negative AI comments? Which actual organisations, which companys? Do you have evidence for this beyond "lots of people on a technically inclined forum don't like it" because that seems to be a fairly self-selecting set. You are seeing patterns in the clouds and are insisting that they are meaningful.

    You call it “patterns in the clouds,” but that’s how coordinated media campaigns are meant to look organic, coincidental, invisible unless you recognize the fingerprints. Spotting those fingerprints isn’t tinfoil-hat stuff, it’s basic media literacy.

    And let’s be real: plenty of groups have motives to discourage everyday people from embracing AI.

    Political think tanks and content farms (Heritage Foundation, Koch networks...) already pay for astroturfing campaigns and troll farms. They do it on issues like immigration, climate, and COVID. Why would AI magically be exempt?

    Reputation management/PR firms (Bent Pixels, marketing shops, crisis comms firms) literally get paid to scrub and reshape narratives online. Their business model depends on you not having the same tools for cheap or free.

    Established media and gatekeepers survive on controlling distribution pipelines. The more people use AI to generate, remix, and distribute their own content, the less leverage those outlets have.

    Now why does this matter with AI in particular? Because AI isn’t just another app it’s a force multiplier for individuals.

    A single parent can spin up an online store, write copy, generate images, and market it without hiring an agency.

    A student can build an interactive study tool in a weekend that used to take a funded research lab.

    An activist group can draft policy briefs, make explainer videos, and coordinate messaging with almost no budget.

    These kinds of tools only get created if ordinary people are experimenting, collaborating, and embracing AI. That’s what the “don’t trust AI” narrative is designed to discourage. If you keep people from touching it, you keep them dependent on the existing gatekeepers.

    So flip your own question: who pays for these narratives? The same people who already fund copy-paste headline campaigns like “illegals are taking our jobs and assaulting Americans.” It’s the same yellow-journalism playbook, just aimed at a new target.

    Dismissing this as “cloud patterns” is the exact mindset they hope you have. Because if you actually acknowledge how coordinated media framing works, you start to see why of course there are groups with the motive and budget to poison the well on AI.

  • You call it “patterns in the clouds,” but that’s how coordinated media campaigns are meant to look organic, coincidental, invisible unless you recognize the fingerprints. Spotting those fingerprints isn’t tinfoil-hat stuff, it’s basic media literacy.

    And let’s be real: plenty of groups have motives to discourage everyday people from embracing AI.

    Political think tanks and content farms (Heritage Foundation, Koch networks...) already pay for astroturfing campaigns and troll farms. They do it on issues like immigration, climate, and COVID. Why would AI magically be exempt?

    Reputation management/PR firms (Bent Pixels, marketing shops, crisis comms firms) literally get paid to scrub and reshape narratives online. Their business model depends on you not having the same tools for cheap or free.

    Established media and gatekeepers survive on controlling distribution pipelines. The more people use AI to generate, remix, and distribute their own content, the less leverage those outlets have.

    Now why does this matter with AI in particular? Because AI isn’t just another app it’s a force multiplier for individuals.

    A single parent can spin up an online store, write copy, generate images, and market it without hiring an agency.

    A student can build an interactive study tool in a weekend that used to take a funded research lab.

    An activist group can draft policy briefs, make explainer videos, and coordinate messaging with almost no budget.

    These kinds of tools only get created if ordinary people are experimenting, collaborating, and embracing AI. That’s what the “don’t trust AI” narrative is designed to discourage. If you keep people from touching it, you keep them dependent on the existing gatekeepers.

    So flip your own question: who pays for these narratives? The same people who already fund copy-paste headline campaigns like “illegals are taking our jobs and assaulting Americans.” It’s the same yellow-journalism playbook, just aimed at a new target.

    Dismissing this as “cloud patterns” is the exact mindset they hope you have. Because if you actually acknowledge how coordinated media framing works, you start to see why of course there are groups with the motive and budget to poison the well on AI.

    Consider these recent examples:

    The pro-Russia “Operation Overload” campaign used free AI tools to push disinformation—including deepfakes and fake news sites—on a scale that catapulted from 230 to 587 unique content pieces in under a year .

    AI-generated bots and faux media orchestrated coordinated boycotts of Amazon and McDonald’s over DEI reversals—with no clear ideology, just engineered outrage .

    Social media networks ahead of the 2024 U.S. election were crawling with coordination networks sharing AI-generated manipulative images and narrative content and most such accounts remain active .

    Across the globe, AI deepfakes and election misinformation campaigns surged from France to Ghana to South Africa—showing clear strategic deployment, not random dissent .

    Because AI expands creative sovereignty. It enables:

    It keeps people bypass expensive gatekeepers and build tools, stories, and businesses.

    Activists and community groups to publish, advocate, and organize without top-down approval.

    Everyday people to become producers, not just consumers.

    The moment ordinary people gain these capabilities, the power structures that rely on gatekeeping be they think tanks, PR firms, old-guard media, or political operatives have every incentive to suppress or smear AI usage. That’s why “AI is dangerous” is convenient messaging for them.

    The real question isn’t whether cloud patterns are real it’s why shouldn’t we expect influential actors to use AI to shape perception, especially when it threatens their control?

    Lemmy isn’t just a random forum it’s one of the last bastions of “tech-savvy” community space outside the mainstream. That makes it a perfect target for poisoning the well campaigns. If you can seed anti-AI sentiment there, you don’t just reach casual users, you capture the early adopters and opinion leaders who influence the wider conversation.

    I haven't checked my feed. But good money I can find multiple "fuck AI" posts that sound similar to "they took our job"

  • So what you are saying is, my car is a typewriter?

    Did you just take a picture of your car's boobs at 60k/h? High speed boobs shots hahahaha

  • Did you just take a picture of your car's boobs at 60k/h? High speed boobs shots hahahaha

    Maybe 😛

    It's a legal requirement when your car hits 80085 that you must take a photo, it supersedes all other laws.

  • Money quote:

    Excel requires some skill to use (to the point where high-level Excel is a competitive sport), and AI is mostly an exercise in deskilling its users and humanity at large.

    Are you kidding? Microsoft has always been shit at math. According to Microsoft Excel, 2 + 2 = 12:04 AM Jan 1, 1900.

  • Are you kidding? Microsoft has always been shit at math. According to Microsoft Excel, 2 + 2 = 12:04 AM Jan 1, 1900.

    Integers are days in Excel, no? So I think 2+2= 12:00 AM Jan 5, 1900.

  • This is such a misguided article, sorry.

    Obviously you’d be an idiot to use AI to number crunch.

    But AI can be extremely useful for sentence analytics. For example, if you’re trying to classify user feedback as positive or negative and then derive categories from the masses of text and squash the text into those categories.

    Google Sheets already does tonnes of this and we’re not writing articles about it.

    Yeah, it's like complaining that a hammer isn't good at turning a screw. There's a whole trend of Chess content creators featuring games against ChatGPT where it forgets the position or plays illegal moves, and it just doesn't mean anything. ChatGPT was never designed or intended to be able to evaluate a chess position, and incidentally, we do have computer programs that do exactly that and have been better than any human player since the 1990s. So what is even the point?

  • Yeah, it's like complaining that a hammer isn't good at turning a screw. There's a whole trend of Chess content creators featuring games against ChatGPT where it forgets the position or plays illegal moves, and it just doesn't mean anything. ChatGPT was never designed or intended to be able to evaluate a chess position, and incidentally, we do have computer programs that do exactly that and have been better than any human player since the 1990s. So what is even the point?

    And what you could do is to enable an LLM to use these tools and reason about their outcome. Complaining that an LLM isn’t good at adding numbers is like complaining that humans aren’t as fast as calculators when multiplying large numbers.

  • Wrong, they already had that with Excel. There were a bunch of functions that delivered wrong returns for years, and none of the users (mostly economists) had noticed.

    What, you don't always work with 16 digit numbers that are automatically truncated? What could go wrong? We don't use 16 digit numbers for anything, really./

    It's hard to believe that's still a thing but it is!

  • That was partly a result of seeking explicit compatibility with Lotus, IIRC.

    seeking explicit compatibility with Lotus

    I need a shower.

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    Oh, Google... Just eviler and eviler every day. Not only robbing creators of any monetization via clicking on links but now just blatantly stealing their content for an even more efficient theft model. FFS. I can't fucking wait to complete my de-googling project and get you the absolute fuck completely out of my life. I've developed a hatred for Google that actually rivals my hatred for Apple. ‍️
  • Looking elsewhere

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    That's a valid point! I've been searching for places to hangout for a while, sometimes called "campfires". Found a cool Discord with generous front-end folks (that's a broad spectrum!), on frontend.horse.
  • Bookmark keywords, again (Firefox)

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    bokehphilia@lemmy.mlB
    This is terrible news. I also have a keyboard-centric workflow and also make heavy use of keyword bookmarks. I too use custom bookmarklets containing JavaScript that I can invoke with a few key strokes for multiple uses including: 1: Auto-expanding all nested Reddit comments on posts with many comments on desktop. 2: Downloading videos from certain web sites. 3: Playing a play-by-forum online board game. 4: Helping expand and aid in downloading images from a certain host. 5: Sending X (Twitter) URLs in the browser bar to Nitter or TWStalker. And all these without touching the mouse! It's really disappointing to read that Firefox could be taking so much capability in the browser away.
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    i can this for essay writing, prior to AI people would use prompts and templates of the same exact subject and work from there. and we hear the ODD situation where someone hired another person to do all the writing for them all the way to grad school( this is just as bad as chatgpt) you will get caught in grad school or during your job interview. might be different for specific questions in stem where the answer is more abstract,