Knowing less about AI makes people more open to using it
theconversation.com
theconversation.com
[1] from the source article “we argue that consumers who perceive AI as magical will experience feelings of awe leading to greater AI receptivity”
T-shirts are great until you hear about the conditions of where they're made and how their disposal is managed. Social media is great until you realize how much they know about you and how they use that knowledge. Modern medicine is easy to not like when you look at the animal experiments that made it happen. And again, sausages - I know some vegetarian folks who are vegetarian in protest of how most meat is produced.
I kind of wonder if there is a subset of comfortable modern society where every aspect is easily likable no matter how much you know about it. Bonus points if that society is environmentally sustainable.
I suppose using the word "impressive" as you did might make that misunderstanding a bit harder to run into.
Learning to exist in the world and hold the uncomfortable parts of being a human being has been a valuable and useful skill in my life across many dimensions.
* I'm not advocating for eating excessive meat, but going to extremes to avoid it does suggests something other factor is in play.
"Luxury" makes me choke : animal protein has always been seen as a luxury meal in most cultures, one that you don’t have every day, as found in any authors from XIX or early XX and you’ll never seen animal protein as a poor food, let alone meat [0]
For 1kg of plant protein you’ll get 230gr of milk protein, 220gr egg’s prot 150gr chicken prot, 120gr porc prot or 70gr beef prot. There’s some difference in proteins availability but in a way smaller scale. Regarding the quality : most traditional societies have combined plant proteins in their daily diets : corn and beans (Latin American), cheakpeas and bulgur (Middle East) rice and lentils (India), soyfood and rice (China, Japan, Korea), millet and peanuts (Africa), rice and tempeh (Java, a very poor place with one the biggest density of the world). The list can go long. Modern science showed us those associations skyrocket the ratio of limiting amino acids, like Lysin + Cystine/Methionine, for soy and brown rice.
Plants have always been the poor’s staple protein because they are dirt cheap, nutritious and convenient. More importantly for the future: the require many times less land to grow because of the protein consumed/returned by animals ratio (see above). Wild fish is an exception but the relative yields have been decreasing for decades, only compensated by more and bigger boats. Also 1/5 of world wild fishing production exist for feeding livestock and farmed fishes.
It’s true (and sad in my opinion) plant proteins are now luxury in certains cities/places, the reasons for that are habits and taste preferences, world richness imbalance (Europe imports 60kg/person/year of Brazilian soy only for livestock consumption, a quantity that would provide 50% of their protein need if consumed directly as so) and subsidies and price regulations to maintain an unsustainable diary industry.
I’m not advocating for everyone eating soy but let’s face it : feeding livestock with human consumable proteins is not the most efficient diet.
0 L’assomoir from Emile Zola, loosely translated by myself : "On Sundays, when there was work at the mine, we'd have a bit of bacon, and on the rare good days, a chunk of beef the size of your fist. It was a real treat"
Laymen will hear AI and imagine I, robot and terminator. They hear “neural networks” and think AI acts like a physical brain.
Once you understand how AI works, your perception of the functionality changes as well (eg. From skynet to reality)
I hear “sweat-shop factories” and, while it’s a disgusting practice, the t-shirt still covers my torso.
I still can't get over how soon people just accepted that you can universally translate all languages, that audio can be accurately transcribed, that you can speak a sentence and get pretty good research on a topic. These things are all actually insane and everyone has just decided to ignore this and focus on the aesthetic grossness of some of the things people are trying to get them to do.
So all of these have improved. But they aren't completely novel
This is what a lot of people forget about LLMs, if you didn't already know what the answer should be, then you won't know when it's giving you crappy responses. And if you do know what you are talking about and actually do catch it giving wrong information (or think you did), it'll just say "whoops.... you're right!". Sometimes, even if you aren't.
The only things I can feel confident asking an LLM is stuff that I already know.
It takes at least a wee bit of sophistication to go from "this is a neat search engine, and it can help me with my writing tasks" to "the stuff that's generated by this thing is going to affect society in unpredictable ways that are not necessarily positive."
A similar spectrum of attitudes may already exist for social media, where the term "algorithm" predated the term "AI."
Why would we avoid educating people, in order to keep them willing to use AI? Why is getting people to use AI seen as a good in itself? Did AI write this article? (Don’t answer that.)
because you can't extract a few tenths of a cent every time someone engages their brain
Don't give the startups any ideas
Solutions like neuralink if they become mature could probably use some sort of llm powered translation layer to machine instructions (which neither tech is near being perfect with). Things like that, I think we can technically do already, it is a matter of refining - the magical stuff though, I’m less sure of.
I’m truly sorry to hear about the challenges you’re going through, and I genuinely hope improvements in the technological landscape afford you greater access to the world in each coming year than is taken away.
I mean, sure, but it’s a disability aid which isn’t useful to the average person. I don’t think most people are saying that ‘AI’ is entirely useless, but you mostly are talking about niche uses like this, not the world-changing thing it is being sold as.
If I tried to learn more about how you feel, anything I say that indicates any questioning of what you wrote, is to support something that is vapid, negative, worthless, that doesn't solve anything, a "solution" looking for a problem.
It is nevertheless important to say out loud:
> Why is getting people to use AI seen as a good in itself?
Because user counts pump up the stock price. And that is all AI has.
Whether you believe the claims that inference is profitable or not (and there are good reasons to distrust them), AI does not live up to the financial hype.
AI cannot stand on it's own merits. It's not acceptable to let history run it's course and let the AI skeptics be shown wrong in due time. Because it'll dampen the hype, and perhaps these skeptics aren't so wrong. The people can't be educated into a healthy skepticism of AI, because they wouldn't use it enough.
It's readily obvious that the emperor has no clothes. The actions of the companies and executives involved betray their statements about how great AI is.
AI is forced into products, at deeply subsidized prices. You wouldn't do that if the tech is that big a deal. Apple charged premium prices for the iPhone.
Benchmarks are aggressively cheated. OpenAI funding FrontierMath and only giving a verbal agreement after having already broken so many of those is a joke. If the systems actually worked as promised there is no reason for this mess, and every reason in the world to gather accurate data on the generality of the intelligence.
And biggest of all: This entire mess has the implied framing of the Manhattan Project. That it's all a big race towards AGI, and whomever develops AGI will win capitalism forever. So important that they're getting support from the US government with their "Stargate" project. And until rather recently, everyone was making lots of noise about AI safety and the world-destroying dangers of letting someone else develop AGI.
In 1942 Georgii Flyorov figured out the Manhattan Project's existance from the sudden silence in nuclear fission research.
Today, despite stakes that are proclaimed to be even higher, all the big players will not shut up about their accomplishments. Everything is aggressively published and propagandized. Every single fart an AI model makes is spun into a research paper. You might as well mail the model weights directly to Beijing.
Those are not the actions of companies trying to win an R&D race. Those are the actions of companies pushing up their stock price by any means necessary.
I really wonder what "losing the AI race" (typically meaning USA vs China) is supposed to indicate.
They have a better LLM or something......and then what? A rogue chatbot takes over the world or something?
We're like two plus years into being a few months away from LLMs taking every office jobs, and I'm still at a total loss as to where this is all supposed to go or what I'm even supposed to be sold on.
The real high-school-sophomore smelling thing, which you'd miss through all the purple prose about the Manhattan Project, is "open research is bad and proves it's fake bunko crap...that the Chinese are stealing(!?)"
I've been here for 15 years and am shuddering to think there are commentators here who would start selling you "open is bad" the instant they had a soapbox to pound their chest on.
So someone is lying somewhere, and the end result is pumping stock prices.
It's bizarre to flatten it to "they're giving it away because it's worthless but they're lying and saying its worth something so their stock goes higher", even setting aside the questionable premises that relies on.
I don't think the human brain is evolved to deal with a machine that promises to have all the answers, always speaks with an authoritative tone, and is trained to be agreeable. As a species we like shortcuts and we don't like to think critically, an easy to get answer is always going to be infinitely more appealing than a correct answer, no matter how wrong it is.
Right now there's a generation of kids growing up who believe that they don't have to learn anything because LLMs have all the answers. World leaders don't seem concerned about this, likely because a dumb population who doesn't know how to think critically is easy to control.
The less you know about any politician, the more you like them!
Your comment is incomprehensible. Please use commas.
> As Phillip Kotler says: “marketing is cosmetic cheating”. AI marketing wants [us] all not to know the intricacies and risks [that we would find] by analysing [the AI]. [The AI labs] want us to celebrate what we get.
Sounds like bounded rationalities [that have been] canvassed by marketing cheaters.
"The Socratic Method involves a shared dialogue between teacher and students. The teacher leads by posing thought-provoking questions. Students actively engage by asking questions of their own. The discussion goes back and forth."
So AI can be an awesome learning tool, for anyone, at any level. Like many technologies, it is what you make it to be. Even things like Instagram can be educational places.
It's understandable why LLMs pose a major threat to Google. Google search is essentially an information engine where the information is intermingled with junk commercial content.
These days I only use Google for cases where I want to go to a website I already know but I'm too lazy to type in the URL or use a bookmark. The utility it provides now is merely a convenience.
"Give a man a game and he'll have fun for a day. Teach a man to make games and he'll never have fun again"
Why is the latter a goal?
There’s a limit to how much I am willing to learn and there’s a heck of a lot of things I’ll just accept at face value because I believe they make my life better.
So far AI makes my life better so I don’t particularly care to learn about it.
> those with less understanding may see AI as magical and awe inspiring. We suggest this sense of magic makes them more open to using AI tools.
> this link between lower literacy and higher receptivity persists even though people with lower AI literacy are more likely to view AI as less capable, less ethical, and even a bit scary
But do I really know anything beyond what I’ve read in a New Yorker article that I skimmed? Not really.