-Socrates
What our descendants will think when they look back on this time period.
They weren’t trying to solve aging or bring everyone to the highest standard of living, they didn’t care to connect the world, explore it, and find others.
They wondered whether or not a word calculator was the antichrist. They assembled in the highest courts of the day and involved the most brilliant minds to discuss whether or not linear algebra will bring about Armageddon.
They shunned any creative or productive endeavor which dared to automate tedium or build on the works of the public domain (lowercase)…
for any such indulgence had become a great sin in Eden, a forbidden fruit that must never be obtained by the Adam, so that he may not become as we are!
They certainly would never guess that the text is being generated by people who mostly spend their time sending and receiving text/video of unthinking, brain rotting, bullshit all day and night.
It's important to make sure it in fact doesn't, otherwise there is nobody to throw a shade on our time capsule having the benefit of hindsight
What are you talking about? Those are absolutely issues that are being worked on right here, right now. This framing is obviously false.
"Word calculator", "linear algebra"... This is just a variation on it's just a stochastic parrot / it's just a next token predictor.
The implication is that because it is "just" this simple-sounding thing, it can't be a complex thing! Except we know empirically that that doesn't hold. What are humans if not "just" next action predictors, "just" a collection of simple atoms, "just" electrical impulses? Yet clearly we are more than the sum of our parts. There no reason to believe dirty water can be more than the sum of its parts but weird sand can't.
I read it in that high pitched British accent that goes up into falsetto
I explored this concept in this post:
https://ljtn.github.io/epiq/blog/cost-of-cognitive-debt.html
Weekend me before LLMs: Maybe I’ll chip away at that dependency injection library I’ve been working on. If I spend most of the day I could improve the user facing test framework.
Weekend me after LLMs: Let’s continue work to get Claude Code running in WebXR on a Quest 3 with app architecture modeled as a 3d construct. We’ve got deepgram hooked up for a better voice to text experience, but giving Claude a voice was a waste of time. Claude, continue to teach me about 3d rendering as related to our current challenges matching the fidelity of the built in browser.
https://www.scientificamerican.com/article/brain-waves-synch...
https://knowridge.com/2026/08/first-findings-of-mirror-like-...
The only way I can come up with to avoid exposure to a "cognitive virus" is lock oneself in a rubber room.
But extreme isolation merely fosters other mental illnesses.
It's an irrational world with no empirical evidence as to why it even exists. Get over it.
https://www.theatlantic.com/podcasts/archive/2024/02/how-we-...
It's like saying that moving from manual-labor-intensive agrarian societies to industrial ones will make us weak and meek. In fact, it's had the opposite effect: humans, on average, are healthier and live longer than ever in human history.
Kinda. We also have incredible rates of cardiovascular disease, obesity, and diabetes.
While I do mostly buy that the mind and the body are connected, I don't think being able to bench press 250lbs is a necessary, fundamentally human capability. I do think being able to think is. Literally Rene Descartes cogito ergo sum. If we lose cognition, executive function, analysis, skepticism, etc., I don't think we're human anymore.
To me, this is kinda like saying we have incredible rates of autism. While technically true, the science is still fairly new, so we simply don't have very much historical data. In all likelihood there isn't a sudden epidemic of autism, only improvements to how it's diagnosed.
https://smalldocs.org/s/scB6O8KiZEmLWgK855A1vt#k=yiw8FB_G5Ld...
I do agree that we are on a pathway to losing much. If you focusing on maximising LLM-powered productivity you basically lose the learning that used to naturally happen when doing actual work. At the company I work for the focus is on productivity, and it's easy in many ways (less mental workload and I receive more praise) to go with it instead of fight it.
This makes more sense at least than the “just another abstraction layer” argument that’s been thankfully dying out recently.
What about cooking food? We've become entirely dependent on cooking food.
Yes.
>Because we've become dependent on them?
Because we're burning the planet down with them.
>Should we also facilitate reversibility in our automobile usage?
Yes, because in places we do people enjoy higher qualities of life and happiness. Along with things like health improvement from doing more excersize.
>What about cooking food? We've become entirely dependent on cooking food.
Moreso we've become dependent on eating processed junk over the past 50 years and gotten fat as shit.
So yea, maybe think a little more deeply about your analogies?
>What about cooking food? We've become entirely dependent on cooking food.
Is cooking food a virus? Should we facilitate reversibility in our food cooking?
Since this idea may have come from the first Matrix movie, it's ironic that the character who espoused the idea, Agent Smith, became an actual virus in the 2nd and third movies.
We're in the midst of figuring out what the tradeoffs are of LLM usage - all the things you list are already mostly known and found worth it. You trade a tiny amount of time and fuel to cook food in exchange for not getting sick. How is that relevant to anything?
I'm making the point that the viral sensationalism in this article can be equally applied to automobiles, computer, telephones, calculators, and toothbrushes.
If the article had merely been what you said "is AI worth the cost" then I would not have taken issue with it.
In evolutionary time, we lost the ability to digest raw meat because we offloaded so much of process of the digestion to the cultural technology of cooking.
Do you like the looks of a future where that happens but for thinking?
Chess and games can be a lot more demanding than a lot of people's work lives - and AI is already superhuman there.
The heaviest thing I need to lift in my daily life is a laptop and yet I've gotten significantly stronger over the last few years from strength training.
If AI took over all the boring but hard things I'm required to do it'd free up lots of time for me to spend thinking about things, and solve problems I find more interesting.
It seems clear to me that people will continue to think, but in different ways.
I hate to bring this analogy up again, but it seems impossible to escape: did losing the ability to do long division really impact humanity?
Humans have been the dominant species because of our ability to think, not our ability to get from A to B in any particular way/cook food. If we abstract ~the bulk of our thinking to LLMs, don't we lose something as a species which makes us more vulnerable... Or is it always the case during an automation?
> Or is it always the case during an automation?
Obviously. Any time we make a useful discovery and begin using it, we become dependent on using it.
The core idea being that each time humanity was going to exceed the carrying capacity of its environment, we invented a new technology which increased the headroom. Obviously this ratchet only goes in one direction. The only way to go backwards is collapse.
But... It's worked so far?
The analogy doesn't, but LLMs are trained on text, or content, generated by humans, with the aim of their output being acceptable to human interlocutors. That's one parasitic aspect. A second one is the nature and behavior of the organizational entities providing and promoting the popular LLM services: Microsoft, Google, Meta, Anthropic etc - their influence on the economy, e.g. in energy and water use and the drawing of capital/human efforts - also has a somewhat parasitic aspect.
The more I use LLMs I find that their output drifts toward being acceptable to other LLMs. I find myself quite often telling the model: "this is not human readable.". Especially Opus and Fable write in such a way that it is difficult to follow. The often put sentences out of context, the context itself is fragmented. Often start with what you would think is end of a story so when you start reading you are like wtf it is about.
If think the issue might be that LLMs read text all at once whereas humans are somewhat linear. So when LLM puts out text it understands, to human it is close to random gibberish that looks like English.
Research can be more of a lagging indicator than a leading indicator with AI.
Or in other words: the humanities are good.
They are the cognitive construct I fortified in my mind and in my code before the models began producing their own training materials. My approach is based on two decades of coding without ai.
The immunization is becoming increasingly more valuable as people begin understanding the market in which I do business.
There's a whole field, evolutionary memetics, dedicated to this. Cultural values, marketing, religion, social media, education, propaganda, etc. can all be viewed quite naturally through this lense. Even the terms we use in every day language (eg, going "viral") seem to intuitively grasp this.
Is my friend a virus for recommending me their favorite book? Well, yes I guess, but that's kind of just how ideas work. Just my two cents
The framing of something as a disease is itself slightly into the fascist territory.