Okay Was Anybody Going To Tell Me

The request is so urgent my boss needs it by the end of the work week. Which, y'know, is 5 PM on a Friday. So I have four hours to do it.

It's a forwarded request. Somebody contacted a member of the donation team asking for help, "I need a map from the Vietnam War to use for a presentation." It's somebody she's trying to coax into giving a five figure donation to the museum.

The request was asked to the donation team member, who then emailed my boss, who then emailed and called me urgently.

This map required:

North and South Vietnam in it

All four areas that South Vietnam was divided into for military purposes ('Corps') clearly delineated

Four cities, all of them horrifically misspelled, and only identifiable because I know what battle the requester is asking about (it’s in III Corps on the border with Cambodia) (the requester danced around the battle but I’m knowledgeable enough to identify it)

Has Laos and Cambodia in it

Has the Ho Chi Minh Trail in it

So. I was mad about the 'you have literally four hours to find a map with a lot of requirements.'

I was then mad at myself about finding a copyright free map from Texas Tech University within half an hour, proving her right for asking me to do it.

Then, after I found a map that perfectly met the requirements, I was equally amazed, baffled, and horrified when I read further into the forwarded email chain.

The donation team team member they were speaking to used AI to generate a map.

The above put half of North Vietnam in South Vietnam, made the Ho Chi Minh Trail a country, made 60% of Cambodia part of South Vietnam, put the DMZ extremely high up in North Vietnam, completely disconnected the southern tip of Vietnam, misplaced all of the Corps zones, etc etc

At the very last second the donation team member had a moment of divine clarity, remembering there's three historians on payroll to ask for this kind of thing from. So she contacted my boss while saying, "I had fun with this, but I decided I should check for accuracy before I send it to the donor! I need a fact check by the end of the day, then I send it"

My boss, while not the most knowledgeable on the Vietnam War, does know her geography. She took one look, and knew it was so off she called me to tell me how urgent it is that I look at the email and respond

1) uses literal slave labour in countries like Kenya - Once again, Black slaves are being used to "improve" the world with absolutely no care to their welfare or wellbeing. In fact, they're being deeply traumatised by the images and information they have to see as they load all the info into the computers. So slavery and trauma. Good job.

source source source source source

Frankly, that should be fucking enough for everyone to make it stop. But no.

2) emits an absurd amount of CO2 and uses a crazy amount of power and water, and is quickly undoing what progress we've made against climate change.

source source source source source source source

3) destroys communities with the e-waste-- primarily marginalised communities- Once again, screwing primarily Black neighbourhoods

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4) steals material from people with no compensation or credit. Most recent example, ScotRail stole the voice of a voice actor for their announcements and refused to notify, pay or credit her. They've recently backtracked on this because of the backlash, but they've got away with it for some time.

source , source

5) It's bad for your brain, with one study saying it 'atrophies' your brain, and another that 'warns of a phenomenon known as "mechanized convergence," in which reliance on AI leads to less diverse and creative outcomes. As more users accept AI-generated suggestions without sufficient scrutiny, there is a growing concern that originality and contextual nuance could be lost. AI’s tendency to generalize information may lead to homogeneity, where different individuals working on similar problems arrive at nearly identical solutions — often missing the complexity that human insight can provide.

Other key concerns include:

Decline in independent problem-solving skills – With AI handling much of the cognitive heavy lifting, workers may find themselves engaging less with deeper analytical processes essential for innovation.

Increased risk of misinformation – AI models, despite their advancements, still generate errors, outdated information or biased responses that require human oversight to detect and correct.

Reduced diversity in thought – Overreliance on AI suggestions can lead to standardization, minimizing original perspectives and creative approaches'

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There are multiple sources for all of this-- these are just one or two links to prove my point. The fact is, there are dozens and dozens of sources for each of these, I just ran out of energy.

But all this means

Carolina Milanesi, an independent technology analyst, said Google is trying to make its cash cow business — search — richer and more personalized, and it will make shopping easier. But there is a risk that users may have fewer choices about what to click. "Right now it's: I ask a question, I get a bunch of answers and I feel that I'm in control as to which answer I take, or if I'm looking for something, which product I'm going to end up buying. That is going to be less so going forward," she said. Milanesi envisions AI-enabled search and agents proposing products to consumers — perhaps even those they have requested — but with less clarity or choice around where it's coming from. "If you're going to say: 'I want a pair of Jordans, go find them,' you're not necessarily sure what steps have been taken and whether the AI has used a source or a store that was paid for and therefore came up in the search results," she said, "or if AI actually went and did their due diligence and picked the best for me as a customer."

And here's one from Time magazine (May 20, 2026):

While Google already has “AI Mode,” the company will now power the whole search bar through its new Gemini 3.5 Flash model.  Instead of the classic list of blue links, Google Search will now also generate a custom page with an AI-generated summary of what you’re searching about, which will then trigger a conversation with AI Mode on the main page, allowing users to ask follow-up questions—similar to the kind of layout you would see when opening ChatGPT.

And a little more from Time's article on how this may affect the websites that we are trying to search for:

Younger folk are getting really good at spotting AI slop, to the consternation of marketing execs.

The good news is that if it persists and Gen Z and Gen Alpha continue to scoff at the generated stuff, then marketing departments aiming at them will just have to give up on using it because they won't be able to figure out how to fool their targets with it.

The bad news is that this won't apply to scams and campaigns aimed at older people, so once again we're going to have a situation where the kids will be the ones lunging across the coffee table to stop Mom from giving her financial info to that really obvious fake scam mom oh my god do NOT buy that it isn't even a real thing.

Those are Expert Systems, tuned to do exactly one thing. If you (say) ask a medical expert system a question about financial law, it's useless. The autopilot that flies a 787 has no idea how to drive a truck on the freeway. A Coulter Counter is excellent at identifying lymphocytes in a blood sample but can't predict the next card in a blackjack game.

And so on.

The problem with so-called generalized AI (AGI) is that we don't have that yet. It doesn't exist. It MIGHT some day, but AGI has been "10 years away" since the 1980s. The goals keep moving as we learn more about how people and machines process data.

But the current crop of AI techbros have been selling generative Large Language Model AI (LLM) as AGI because generative systems do a good job of faking it. There's no actual thought going on, merely the illusion of thought via predicting the next word in a sentence accurately.

If you let a human toddler listen to 800 hours of YouTube car influencer videos, that toddler might end up sounding like a car influencer. They'd parrot horsepower numbers and 0 to 60 times, mention EV range and MSRP numbers.

But they wouldn't understand any of it.

That's ChatGPT.

And yeah, it's worse than useless because it doesn't even know when it's lying or hallucinating. It just babbles convincingly until you stop it.

But for techbros to make money selling that as "AI"? It's the perfect scam, especially if you don't understand how it works.

because, basically, they tend to think of their own cog in the machine as the one that's most important to get a human polishing it