"Solipsism All The Way Down" Doesn't Work

I finally invoked the "no starting any new book until you finish writing this" rule on my review/summary of David Graeber's "Bullshit Jobs - a Theory". Making great progress! Preface & 5 chapters done, only 2 chapters left!

I was hoping I could let Bullshit Apocalypse posts slide for just another couple of days & power through to the end, but, in only 2 days, 7 new posts to link to. On it.

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1st up, as ever, Gary Marcus:

If enough other companies report the same, the bubble pops. 🫧

Breaking: “Uber COO Andrew Macdonald said he’s not seeing proportional productivity gains from increasing AI costs.”

Also reporting AI problems: Microsoft, Target, Starbucks.

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Next, from Doc Searls, a very insightful preview of where the big web companies want to go with AI - it's not good.

From Losing the Web to Saving Us All

Big AI subverts everything, including hyperlinks, which are what make the Web a web.

With Big AI, you no longer surf from searches to sources across an ocean of links. You ask questions and get answers from the world’s largest Magic 8-Balls. They top the new hierarchy, which subverts and subordinates the Web.

Go to any of the Big AI chatbots—ChatGPT, Claude, Gemini, Meta, whatever—and ask a question. If it pauses for a moment, there’s a good chance it’ll say “Searching the Web.”

But it’s not. It’s composing an answer synthesized from what it has harvested from the Web, plus a vast amount of other forms of ingested human expression. It may or may not point back to sources on the Web. And if it does, it’s only providing footnotes.

I've been blogging since 2003, I've always enjoyed including lots & lots of hyperlinks, to give readers avenues to explore & learn more. It really sucks that they are trying to kill that.

If they kill the web like this, it means the LLMs are stuck. No new brains to eat. A steady downward spiral into Degenerative AI. As I really liked from 1 of the links in my prior post, "A slow-motion car crash."

This is a really, really informative article. Definitely a must-read.

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From Henry Farrell's blog, Programable Mutter:

AI Isn't Management. Try Explaining That to Matthew Prince

At last we have created the Corporation That Eliminates Middle Managers from classic management text Don't Eliminate the Middle Managers!

...

Last Saturday, Matthew Prince, the CEO of Cloudflare wrote a self-congratulatory op-ed in the Wall Street Journal, suggesting his company was the only one in recorded business history to grow by 30% while laying off more than 20% of its employees. His message was that everyone needed to follow his example, by using AI to implement the True Wisdom of Revered Management Guru Peter Drucker.

The long & the short of it, Drucker felt middle managers were a critical part of any company. He would want AI to support middle managers, to help them help everyone do their job better.

The aptly named asshole "Prince" thinks that the role of middle managers is to inform the CEO, so he can decide who to fire. Wow, now he can use AI for that, & fire all the middle managers!

I guess we'll see how that goes. I predict systems whose performance continuously worsen, with no one able to put their finger on why.

This is a long article, but it is worth the read.

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From Kottke - 1 of many good reviews of the pope's encyclical on AI. The Bishop of Rome is getting universally rave reviews.

Safeguarding the Human Person in the Time of Artificial Intelligence

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From Doctorow. Billionaires seem to be almost avatars of capitalism. They both want to get rid of those pesky workers. Billionaires want to live in a world where their god-like visions of the future can be implemented without involving those annoying human workers - particularly those from other countries with, gasp, darker skin colors!

This is why AI is getting crammed down our throats.

The world really, really doesn't need billionaires.

AI and a world without migrants

It's solipsism all the way down.

LOL, there's where my title came from. I don't think "solipsism all the way down" works. Solipsism doesn't recurse.

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Again from Kottke:

A recent study of 2.5M scientific papers found ~146,900 fake citations

A recent study of 2.5M scientific papers found ~146,900 fake citations, presumably hallucinated by AI. The fake citations “were not limited to a handful of bad apples but appeared across many papers, each containing a small number of fake references.”

5.876%, if the slop is evenly distributed. Quoting Gary Marcus, "Slopacalypse Now".

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From 404Media:

‘Lobotomized’: Character.AI Is Showing What AI Enshittification Looks Like

Ads everywhere. Usage limits. Frustrating guardrails. Less model choice. Users of the Character.AI chatbot app are revolting after a series of changes they say have made the app worse.

I'm not sure this is the standard enshittification cycle. None of the AI companies have a viable business model. They are being forced to start enshittifying way before they'd probably like to because the goddam GenAIs are just way, way too expensive for toy uses like Character.AI.

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Here's the home page/directory for my posts on Bullshit. This is post #125.

Claude Sent Me

From slipstream author Robin Sloan's blog. This post is mostly a link to the next post, but there's also an anecdote that gave me the title of my post.

The new funnel

I can add, anecdotally, that in Q1 of this year, Fat Gold [an olive oil subscription product?] saw its first subscription referrals from LLMs. We don’t (can’t?) track these programmatically, but we do ask new annual subscribers where they heard about us, and, for the first time, the reply has come: Claude sent me.

Well, you know where they are coming from, at least.

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Linked to by the prior post. Buttondown is a company with an (eponymous?) newsletter/email automation product. Justin (JM) Duke is the CEO. Their numbers appear to be soaring due to LLM referrals???

LLMs and Buttondown

It feels weird to complain about this. So let me list some of the weird ways it has surfaced.

1. Churn. It is too early to really understand the statistical significance of this, but I'm faintly worried about churn being higher for these users than for our traditional cohort. A lot of our approach to onboarding and pricing hinges on a fairly high LTV; it's how we can justify outsized investment in support, for instance. Definitionally, lower LTV warps a lot of these decisions.

2. Support. While the absolute volume of support tickets coming from LLM-born users isn't significantly higher than the median, the shape of those tickets is off. To put it bluntly: a lot of the tickets we get are themselves LLM-generated. This is, frankly, extremely annoying — and demoralizing for me and the team to spend half an hour meticulously answering some complex question only to receive a machine-generated reply in return.

3. ICP. Buttondown has grown through word of mouth alone since its inception, which means that our customers all kind of have the same vibe — and, more importantly, know what our vibe is in return. LLM-born users, by virtue of having outsourced the research process, really don't. This materializes in every aspect of the conversion pipeline, from prospecting (I recently had a sales call with a user who was shocked to learn we don't support cold email) to volume.

They are rightly viewing the development very gingerly.

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The whole UBI (Universal Basic Income) movement seems to be seeing GenAI as a possible savior? BIEN - the Basic Income Earth Network - is I think the strongest UBI promoting organization. I think Leon Skunk & the rest are selling them a bill of goods, to try to get someone other than corporate managers to like GenAI.

AI leaders see mass job loss coming. They want government’s help solving it.

Elon Musk has a plan for a future where jobs are wiped out by artificial intelligence: a benevolent government will provide.

This links to an article of the same title in the Washington Post. So Bezos is helping to dangle the carrot.

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From Will Lockett's Newletter, which apparently I stumbled across on SubStack. Will Lockett is "A Climate & Politics Journalist who is pissed off that the world is burning, corrupt and broken, yet no one in power seems to care."

This is a really well thought out & informative post.

Our AI Fears Have Been Confirmed

A slow-motion car crash.

I really like the "slow-motion car crash" verbiage. I'm sure that was what lead me to read the article. I think it is a most excellent description of the Bullshit Apocalypse.

I think we'll see more & more systems seizing up, becoming unworkable, as the 10% error rate in the underlying GenAI tech compounds, leading to Degenerative AI. I think this author is seeing the same thing.

This post is a must-read, please check it out. A few excerpts. It's hard not to just copy the whole thing. There are several very well thought out themes.

You see, AI layoffs aren’t actually happening. As Oxford Economics found, companies “don’t appear to be replacing workers with AI on a significant scale” and instead suggest that they are actually using the AI layoff narrative to cover up their own shortcomings. In other words, the massive Big Tech layoffs aren’t about AI automation, but to pay for bad performance and AI expenditure.

Why? Because AI doesn’t increase productivity on a business or economic scale. One of the best lines from the Oxford Economics report is when it directly asks, “If jobs are being replaced, where’s the productivity surge?” Everyone seems to have forgotten that productivity is something we measure, and if the AI rhetoric is true, that metric ought to be skyrocketing. But it isn’t; it is stagnating.

I also think that the layoffs "due to increased AI use" in the big tech companies are mostly marketing - "look, we're eating the dogfood! Nom, nom, nom!". It's getting harder & harder to keep the AI bubble inflated.

its use is deskilling us at a remarkable rate. We have known that overexposure to AI in the workplace damages expertise and skill for a while now, thanks to studies like those from JYX and Carnegie Mellon. Even Anthropic found that coders using its tools lost coding skills and comprehension. But researchers and professors are starting to notice a striking, consistent trend in recent findings: workers using AI at work are deskilling at disturbingly rapid rates.

Why is this a problem? Well, thanks to constant hallucinations (which aren’t going to stop any time soon, read more here) and shocking high costs, AI can’t replace workers. So, this deskilling will inevitably harm the economy.

...

AI is a massive threat to our economy. However, can we stop pretending that it is because these hollow plagiarism tools are themselves a threat because they are so capable? They aren’t; they cannot replace us, and it is moronic to suggest otherwise. The real threat is big tech grifting the stock and debt markets to turn their value into a perpetual-motion machine and, as a result, undermining the financial systems our economy is built on.

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Here's the home page/directory for my posts on Bullshit. This is post #124.

Flooding the Zone, Part 2

From David Rosenthal, Parts 2 & 3 of his "Flooding the Zone":

Flooded Zones Part 2

This is the promised follow-on to Flooded Zones Part 1, which discussed the Distributed Denial of Service (DDoS) attack being mounted by AI against the scholarly publication system. By reducing the cost of generating and submitting a paper or a review, AI has caused a massive increase in the quantity and a significant decrease in the quality of submissions to a system that was already vastly overloaded.

Below the fold I look at AI-enabled DDoS attacks against two other even more important areas; software security and political discourse.

Yawn. We've seen this before. & my yawn shows the biggest meta-problem facing us: Bullshit Fatigue. The constant hype & bullshit of AI marketing, AND AI output, is wearing us all out.

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From Kottke:

There’s No Earthly Way of Knowing Which Direction We Are Going…

Book on Truth in the Age of A.I. Contains Quotes Made Up by A.I.:

The author of a nonfiction book about the effects of artificial intelligence on truth acknowledged on Monday that he had included numerous made-up or misattributed quotes concocted by A.I.

Seriously??? 1 could possibly hope that GenAI could be used responsibly, if there weren't a quite sufficient # of humans who are rapacious, amoral, capitalist assholes. Or, more likely, just plain lazy.

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All those AI notetakers? They're making lawyers very nervous.

Hmmm, lawyers don't like the 10% error rate & complete lack of common sense in GenAI notetaker systems? Since they might be legally left hanging by AI incompetence?

What are they? Commies! Luddites!

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From the guys who, IMO, may be running the most reasonable discussion on GenAI issues.

Do AI Risks Require Extraordinary Government Intervention?

Let’s not skip the hard work of AI governance

In a recent essay, Derek Thompson engages with AI as Normal Technology (AINT). He agrees with our thesis about AI’s slow labor market impacts, relying on the fact that GDP growth has so far been average, unemployment is below 5%, and even jobs that seemed vulnerable to automation show rising employment and wages. He concludes that so far, the macroeconomic picture is consistent with what we would expect from a “normal” general-purpose technology.

But when it comes to AI risks, he is far more bearish. He points to examples of cyber- and bio-risks and expresses pessimism about AI quickly becoming dangerous across many new domains. He argues that AI’s emergent capabilities make it fundamentally different from previous technologies, and that this difference justifies “extraordinary” government responses including restrictions on what companies can release.

Hmmm. I think I've said "Technology this powerful needs to be licensed." I think this article agrees?

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Here's the home page/directory for my posts on Bullshit. This is post #123.

At the Mouth of the River of Bees

"At the Mouth of the River of Bees", by Kij Johnson, 2012, 406 pages, 110k words, 16 stories.

I thought Johnson's story was the best in "The Coyote Road" collection, so I bought this short story collection, which appears to be Johnson's 1st. Johnson put another collection out in 2023, "The Privilege of the Happy Ending", which I have purchased.

Johnson looks to be more prolific with short stories than novels.

1 thing I like about this collection, there is a wide variety in the length of the stories. I can't guess page #s because I'm reading these on an iPad with the text size maxxed out, so I can read without reading glasses.

The best story is still the best 1 from "Coyote Roads": "The Evolution of Trickster Stories Among the Dogs of North Park After the Change". "The Change" is when most vertebrate species used to interacting with humans develop language.

The moral overtones of this story are ... hurtful. It reminds me of reading about slavery - odious.

We love our pets, but we really don't want to hear their opinions on how we've treated them for the last few 1000 years ...

So the dogs develop their own folk tales. The tales are all titled "One Dog ...". The 1st line of the tales always begin: "This is the same dog." Johnson gives us 11 of these tales, fascinating!

*** Spoiler/Trigger Alert ***
It is not unusual for the tales to end with the dog protagonist being killed, usually with a human involved.

This is the last story of the volume. Apparently it was 1st published in the "Coyote Roads" anthology in 2007?? My review of that sez, 2023???

OK, the original hardcover version of "Coyote Roads" was published Novemver 19, 2007. 2023 was then the eBook was published. I absolutely hate it when they do that.

The story is prefigured echoed by a longer story, "The Cat Who Walked a Thousand Miles", 2009. Apparently cats have folks tales too? The names of which all start with "The Cat Who ...". A nice story about being a cat/murder machine of anything smaller than you are.

The longest story of the collection was "The Man Who Bridged the Mist", 2011. A story about the human drama/tragedy that always goes into a major engineering project.

A lot of variety. "Schrodinger's Cathouse", 1993, about a quantumly indeterminate house of ill repute - nice!

"The Horse Raiders", 2000, is an interesting story & morality tale.

"Wolf Trapping", 1989, is also a memorable story.

The title tale, "At the Mouth of the River of Bees", is an interesting concept, a river not of water. "The Man Who Bridged the Mist" also has this concept, of a river not of water.

I think I had read the somewhat disturbing story "Ponies", 2010, somewhere else.

Wow, this is much more detail on a collection than I normally provide. I think that this sez, check this collection out!

My Every Other Day Salad

After I retired in September, 2012, I would have a salad for lunch every day. After a few years, I got tired of that, & now alternate a salad for lunch with a sandwich (plus a pickle & a wicked okra) or a scramble.

Here is my current salad:

1. from Kroger or Publix, a plateful of mixed baby greens;
   or, fresh from my garden, bibb lettuce, black seed simpson lettuce, spring lettuce mix, arugula. (Pictured)
2. 3/4 stalk of celery, sliced;
3. 1/4" slice of sweet onion, diced;
4. 2 baby carrots, sliced;
5. 1 large radish, sliced.
6. Today, leftovers, 3 slices of a tuna steak seared on the grill, sliced.
   Default, 1 #2 slice of Boars Head Reduced Sodium Turkey, from the Kroger or Publix Deli, diced.
   Occasionally left over ham.
7. 1 small-medium roma/plum tomato, diced.
8. 1/4 can black olives, chilled.
9. 1 heart of palm, sliced, or 1/3 can salad cut heart of palm, chilled.
10. 2-4 T shredded sharp cheddar cheese.
11. 4 slices, medium large zucchini or cucumber. Cucumber goes bad much more quickly.
12. Asian sesame ginger salad dressing, 2-3 T.

Some other recipes will leave me with pieces of bell pepper, mushrooms, or other veggies. I will dice & add these if appropriate.

Threatening, Flooding, Tricking, Drowning, Dying

All gerunds, all the time! Showing that the Bullshit Apocalypse is an ongoing process.

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From Bruce Schneier:

How Dangerous Is Anthropic’s Mythos AI?

I think this is more reinforcement for my original feel that Antropic's Mythos announcement was mostly hype:

While Anthropic’s model is really good at finding software vulnerabilities, so are other models. The UK’s AI Security Institute found that OpenAI’s GPT-5.5, already generally available, is comparable in capability. The company Aisle reproduced Anthropic’s published results with smaller, cheaper models.

So using AIs to find software vulnerabilities will become SOP, & hopefully developers find them before the software is released.

But Schneier then raises a very, very concerning point:

Even more interesting are the broader implications. The same searching, pattern-matching and reasoning capabilities that make these models so good at analyzing software almost certainly apply to similar systems. The tax code isn’t computer code, but it’s a series of algorithms with inputs and outputs. It has vulnerabilities; we call them tax loopholes. It has exploits; we call them tax avoidance strategies. And it has black hat hackers: attorneys and accountants.

...

As goes the tax code, so goes any other complex system of rules and strategies. These models could be tasked with finding loopholes in environmental rules, or food and safety rules—anywhere there are complex regulatory systems and powerful people who want to evade those rules.

You should need a license for technology this powerful. & your use should be carefully monitored. Just like dynamite & other explosives.

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From David Rosenthal:

Flooded Zones Part 1

Wow, apparently Rosenthal was a very early harbinger of the Bullshit Apocalypse; the post he references came out May 11, 2023. 13 months before I cracked from the perpetual hype & called "Bullshit!"

Three years ago in Flooding The Zone With Shit, my first post on the AI bubble, I wrote:

My immediate reaction to the news of ChatGPT was to tell friends "at last, we have solved the Fermi Paradox". It wasn't that I feared being told "This mission is too important for me to allow you to jeopardize it", but rather that I assumed that civilizations across the galaxy evolved to be able to implement ChatGPT-like systems, which proceeded to irretrievably pollute their information environment, preventing any further progress.

The post title was a notorious quote from Steve Bannon. Below the fold, I look into scholarly publication, the first of three areas whose zones are currently being flooded with AI output in what can be considered DDoS (Distributed Denial of Service) attacks

I had not made that connection: that the Bullshit Apocalypse, or Slopocalypse Now as Gary Marcus called it, it a form of a DDoS - on all systems based on words, i.e., on our civilization in general. Shudder.

I think there have been 2 links already in this blog on scholarly publications being overwhelmed by slop. The other 2 domains Rosenthal will cover in Parts 2 & 3 are "political discourse and software security".

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From Leif Weatherby via the NYT:

Why We Keep Tricking Ourselves Into Thinking A.I. Is Conscious

A funny thing keeps happening on the internet. A prominent thinker chats with a large language model like ChatGPT or Claude for a while, and then decides that it might be conscious. The person reports this to the public, and a round of intense argument and speculation about artificial intelligence “minds” ensues. These little kerfuffles pass quickly. But they are persistent, and I’ve been thinking about why.

Weatherby examines in detail the interaction between Claude & Richard Dawkins, which I posted on here. A sad affair.

Note, I have run across Weatherby before. I kind of went off on him & semiotics here. I'm still stuck at having read 40% of his book because I'm still stuck on writing a review of "Bullshit Jobs". His book "Language Machines", is subtitled "Cultural AI and the End of Remainder Humanism". "Remainder Humanism" I think is the belief that human beings can think better than LLMs. Can't have that, can we???

IMO, never trust a semiotician. Still, it's an interesting read. Here's Weatherby's conclusion:

Adapting our reading practices to large language model output is a shift just like that one, where we change what we normally expect from our surroundings. We don’t expect meaningful and rhetorically powerful prose to come from anything but a conscious mind. But now it does. We cannot afford to believe the marketing message from A.I. companies that we may be dealing with some spiritual essence. In the age of cultural A.I., technical expertise alone won’t save us. We’ll have to add a new form of reading to make sense of our new world.

So maybe this "new form of reading" is what was mentioned in the 3rd reference in this post from last Wednesday, which talks about all the brain/CPU cycles we are all starting to waste detecting AI slop. I'm sure it's all for a greater good? Or, NOT!!!

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From economist Dr. Carl Benedikt Frey via the NYT:

This Is Why You’re Drowning in Busywork

I keep seeing the phrase "LLMs democratize ...". What that means: something we used to have someone else do, we now can do ourself. But, increasingly, it means we now HAVE to do it ourselves.

& I guarantee there are lots of cases where an LLM is not going to do as good a job as a human expert. Estimates of the error rates of LLMs seem to be converging on 10%. Way too high IMO.

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Cory Doctorow recently posted:

Making sense of Trump's unscheduled sudden midair disassembly of the American empire

The post is mostly an analysis of this post by Icelandic "writer, web developer and consultant" Baldur Bjarnason. Bjarnason seems to be in the business of helping people figure out why their software projects fail (& presumably, how they can make them succeed?)

The old world of tech is dying and the new cannot be born

This is a long post but well worth the read. Bjarnason posits that the US tech hegemony is possible only because of the US political hegemony, I think? Most of the world hates our fucking software. I mean, a perpetual subscription to Office 365 or whatever? OpenOffice for me!

LLMs & the datacenter glut is just the latest phase in extending the tech hegemony.

But, oops, Orange Turd & Bebe's Epstein/Iran War has just destroyed the old world order! Midair disassembly indeed! Time for something new!

Here is Bjarnason I think succinctly discussing GenAI. I just really didn't get how everyone could be ignoring the glaring flaws in LLM-based GenAI. This explains a lot.

Even my writing on “AI” has centred on how things work, not on politics, social impact, education, or culture:

• How do LLMs affect productivity and quality? (Much like leaded petrol. There’s some potential benefit for individual users with literally decades of expertise, provided nobody else uses LLMs. The results are catastrophic when everybody is using them.)

• How do LLMs affect the thinking of those that use them? (Quite a bit, mostly for the worse, but the exact causes and effects are tough to assess.)

• Does it work for business or not? (Mostly not. The inherent variability of a generative model means that the benefits will always be mostly hypothetical while the harms are widespread and long-lasting and substantially outweigh the benefits that can be realised.)

But “AI”, even more so than any other tech, is contingent on political clout. It’s what forces through data centres, lets companies infringe on copyright and violate software licences, renders them at least temporarily immune to all kinds of consumer protections and wrongful death suits, and results in the political collaboration where “AI” systems provide authoritarian states with “accountability sinks” and algorithmic cover for institutional racism. It’s this political partnership more than anything inherent in the technology that has let the “AI” bubble get this far and change so much.

I concur with Doctorow, this article is definitely "must read".

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Here's the home page/directory for my posts on Bullshit. This is post #122.

The Secret City

"The Secret City", by Carol Emshwiller, 2007, 164 pages, 50k words.

I liked Emshwiller's story in the "Coyote Road" short story collection. So, I impulse bought what appears to be her last novel.

A simple story. Only 164 pages, 50k words. Alien tourists, who resemble Neanderthals, are stranded on earth for decades - enough for a new generation to be born. Most of the parents are dedicated to brainwashing their offspring into worship of the home they came from.

After decades, retrieval teams (dressed as tourists in Hawaiian shirts) show up, & attempt to repatriate their missing countrymen. But, the new generation doesn't want to go? Conflict!

A simple story, an easy read. 4 stars I guess. Emshwiller died in 2019, 97 YO.

Semiotic Zombies, Marinating Brains, Yum!

I 1st identified LLMs as "Semiotic Zombies" here.

I backed up my contentions here.

They feed on the output of human brains.

"More Training Data" === "More Brains".

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Gary Marcus shows us graphs, all of which are complete bullshit, completely meaningless metrics. Gawd, I retired September, 2012, the corporate programming in my brain continues to evaporate away. Yes!

Misplaced panic over AI progress

Breaking down what METR’s latest “time horizon” graph does and does not show

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From SubStack, The Crux, Andrei Savine:

The last mile is where enterprise AI actually dies

McKinsey’s 10,000‑leader survey and HBR’s ‘last mile’ diagnosis show that 30 years of consulting have built organizations that cannot turn AI into real value.

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Oh, come on! Surely not! LOOZERS! From 404Media:

Your AI Use Is Breaking My Brain

AI writing is impossible to avoid, is making everything sound the same, and is driving us crazy.

...

A few years ago, while I was covering the rise of AI slop on Facebook, I asked my friends and family if they were getting AI spam fed into their timelines and if they could send me examples. A handful of them responded, sending me obviously AI-generated science fiction scenescapes, shrimp Jesus, and forlorn, starving children begging for sympathy. But a few of my friends sent me images that they thought were AI but were not. Their mental guard was up to the point where they were looking at human-made art and photos and thought it safer to dismiss them as AI rather than be fooled by it.

To browse the internet today, to consume any sort of content at all, is to be bombarded with AI of all sorts. People think things that are fake are real, things that are real are fake. Much has been written about “AI psychosis,” the nonspecific, nonscientific diagnosis given to people who have lost themselves to AI. Less has been said about the cognitive load of what other people’s AI use is doing to the rest of us, and the insidious nature of having to navigate an internet and a world where lazy AI has infiltrated everything. Our brains are now performing untold numbers of calculations per day: Is this AI? Do I care if it’s AI? Why does this sound or look or read so weird? Does this person just write like this? Is this a person at all?

Is someone going to reimburse me for the CPU (brain) cycles I am burning to detect AI slop? I'm guessing, NO! You will eat this slop & like it, yum, yum, yum. :-(

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From 404Media:

Software Developers Say AI Is Rotting Their Brains

“It's making me dumber for sure.”

Wow, is this click-bait, alarmist journalism, or what?

AI is not rotting their brains. It is marinating their brains, so that, being the semiotic zombie that it is, it can ingest their brains later, marinated in many delicious flavors! Yum, yum, yum!

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Here's the home page/directory for my posts on Bullshit. This is post #121.