Every time this is what I'm told. The difference between learning how to Google properly and then the amount of hoops and in-depth understanding you need to get something useful out of these supposedly revolutionary tools is absurd. I am pretty tired of people trying to convince me that AI, and very specifically generative AI, is the great thing they say it is.
It is also a red flag to see anyone refer to these tools as intelligence as it seems the marketing of calling this "AI" has finally sewn its way into our discourse that even tech forums think the prediction machine is intelligent.
I heard it best described to me that if you put in an hour of work, you get five hours of work out of it. Most people just type at it and don’t put in an hour of planning and discussion and scaffolding. They just expect it to work 100% of the time exactly like they want. But you wouldn’t expect that from a junior developer you would put an hour of work into them, teaching them things showing them where the documentation is your patterns how you do things and then you would set them off and they would probably make mistakes and you would document their mistakes for them so they wouldn’t make them again, but eventually, they’d be pretty good. That’s more or less where we are today that will get you success on a great many tasks.
"The thing I've learned years ago that is actually complex but now comes easy to me because I take my priors for granted is much easier than the new thing that just came out"
Also, that "it's not really intelligence" horse is so dead, it has already turned into crude oil.
The point I am making is that this is supposed to be some revolutionary tool that threatens our very society in terms of labor and economics yet the fringe enthusiasts (yes, that is what HN and its users are, an extreme minority of users), and the very people plugged into the weekly changes and additions of model adjustments and tools to leverage them still struggle to show me the value of generative AI day to day. They make big claims, but I don't see them. In fact, I see negatives overwhelming the gains which goes without talking of the product and its usability.
In practice I have seen: flowery emails no one bothers to read, emoji filled summaries and documentation that no one bothers to read or check correctness on, prototypes that create more work for devs in the long run, a stark decline in code quality because it turns out reviewing code is a team's ultimate test of due diligence, ridiculous video generation... I could go on and on. It is blockchain all over again, not in terms of actual usefulness, but in terms of our burning desire to monetize it in irresponsible, anti-consumer, anti-human ways.
I DO have a use for LLMs. I use it to tag data that has no tagging. I think the tech behind generative AI is extremely useful. Otherwise, what I see is a collection of ideal states that people fail to demonstrate to me in practice when in reality, it wont be replacing anyone until "the normies" can use it without 1000 lines of instructions markdown. Instead it will just fool people in its casual authoritative and convincing language since that it was it was designed to do.
I’d say “skill issue” since this is a domain where there are actually plenty of ways to “hold it wrong” and lots of ink spilled on how to hold it better, and your phrasing connotes dismissal of user despair which is not my intent.
(I’m dismissive of calling the tool broken though.)
LLMs are definitely in the same boat. It's even more specific where different models have different quirks so the more time you spend with one, the better the results you get from that one.
Gotcha. I don't see these tools as being a magic wand nor being able to magically fix every problem. I agree that anyone who sells them that way is overstating their usefulness.
It’s just dismissive of the idea that you have to learn how use LLMs vs a design flaw in a cell phone that was dismissed as user error.
It’s the same as if he had said “I keep typing HTML into VS code and it keeps not displaying it for me. It just keeps showing the code. But it’s made to make webpages, right? people keep telling me I don’t know how to use it but it’s just not showing me the webpage.”
There are two camps who have largely made up their minds just talking past each other, instinctively upvoting/downvoting their camp, etc. These threads are nearly useless, maybe a few people on the fringes change their minds but mostly it's just the same tired arguments back and forth.
Because in its brevity it loses all ability to defend itself from any kind of reasonable rebuttal. It's not an actual attempt to continue the conversation, it's just a semantic stop-sign. It's almost always used in this fashion, not just in the context of LLM discussions, but in this specific case it's particularly frustrating because "yes, you're holding it wrong" is a good answer.
To go further into detail about the whole thing: "You're holding it wrong" is perfectly valid criticism in many, many different ways and fields. It's a strong criticism in some, and weak in others, but almost always the advice is still useful.
Anyone complaining about getting hurt by holding a knife by the blade, for example, is the strongest example of the advice being perfect. The tool is working as designed, cutting the thing with pressure on the blade, which happens to be their hand.
Left-handers using right-handed scissors provides a reasonable example: I know a bunch of left-handers who can cut properly with right-handed scissors and not with left-handed scissors. Me included, if I don't consciously adjust my behaviour. Why? Because they have been trained to hold scissors wrong (by positioning the hand to create opposite push/pull forces to natural), so that they can use the poor tool given to them. When you give them left-handed scissors and they try to use the same reversed push/pull, the scissors won't cut well because their blades are being separated. There is no good solution to this, and I sympathise with people stuck on either side of this gap. Still, learn to hold scissors differently.
And, of course, the weakest, and the case where the snark is deserved: if you're holding your iPhone 4 with the pad of your palm bridging the antenna, holding it differently still resolves your immediate problem. The phone should have been designed such that it didn't have this problem, but it does, and that sucks, and Apple is at fault here. (Although I personally think it was blown out of proportion, which is neither here nor there.)
In the case of LLMs, the language of the prompt is the primary interface -- if you want to learn to use the tool better, you need to learn to prompt it better. You need to learn how to hold it better. Someone who knows how to prompt it well, reading the kind of prompts the author used, is well within their rights to point out that the author is prompting it wrong, and anyone attempting to subvert that entire line of argument with a trite little four-sentence bit of snark in whatever the total opposite of intellectual curiosity is deserves the downvotes they get.
Except this was posted because the situation is akin to the original context in which this phrase was said.
Initial postulate: you have a perfect tool that anybody can use and is completely magic.
Someone says: it does not work well.
Answer: it’s your fault, you’re using it wrong.
In that case it is not a perfect tool that anybody can use. It is just yet another tool, with it flaws and learning curve, that may or may not work depending on the problem at hand. And it’s ok! It is definitely a valid answer. But the “it’s magic” narrative has got to go.
Every time this is what I'm told. The difference between learning how to Google properly and then the amount of hoops and in-depth understanding you need to get something useful out of these supposedly revolutionary tools is absurd. I am pretty tired of people trying to convince me that AI, and very specifically generative AI, is the great thing they say it is.
It is also a red flag to see anyone refer to these tools as intelligence as it seems the marketing of calling this "AI" has finally sewn its way into our discourse that even tech forums think the prediction machine is intelligent.
I heard it best described to me that if you put in an hour of work, you get five hours of work out of it. Most people just type at it and don’t put in an hour of planning and discussion and scaffolding. They just expect it to work 100% of the time exactly like they want. But you wouldn’t expect that from a junior developer you would put an hour of work into them, teaching them things showing them where the documentation is your patterns how you do things and then you would set them off and they would probably make mistakes and you would document their mistakes for them so they wouldn’t make them again, but eventually, they’d be pretty good. That’s more or less where we are today that will get you success on a great many tasks.
Exactly my experience and how I leverage Claude where some of my coworkers remain unconvinced.
"The thing I've learned years ago that is actually complex but now comes easy to me because I take my priors for granted is much easier than the new thing that just came out"
Also, that "it's not really intelligence" horse is so dead, it has already turned into crude oil.
The point I am making is that this is supposed to be some revolutionary tool that threatens our very society in terms of labor and economics yet the fringe enthusiasts (yes, that is what HN and its users are, an extreme minority of users), and the very people plugged into the weekly changes and additions of model adjustments and tools to leverage them still struggle to show me the value of generative AI day to day. They make big claims, but I don't see them. In fact, I see negatives overwhelming the gains which goes without talking of the product and its usability.
In practice I have seen: flowery emails no one bothers to read, emoji filled summaries and documentation that no one bothers to read or check correctness on, prototypes that create more work for devs in the long run, a stark decline in code quality because it turns out reviewing code is a team's ultimate test of due diligence, ridiculous video generation... I could go on and on. It is blockchain all over again, not in terms of actual usefulness, but in terms of our burning desire to monetize it in irresponsible, anti-consumer, anti-human ways.
I DO have a use for LLMs. I use it to tag data that has no tagging. I think the tech behind generative AI is extremely useful. Otherwise, what I see is a collection of ideal states that people fail to demonstrate to me in practice when in reality, it wont be replacing anyone until "the normies" can use it without 1000 lines of instructions markdown. Instead it will just fool people in its casual authoritative and convincing language since that it was it was designed to do.
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> Also, that "it's not really intelligence" horse is so dead, it has already turned into crude oil.
Why? Is it intelligence now? I think not.
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I’d say “skill issue” since this is a domain where there are actually plenty of ways to “hold it wrong” and lots of ink spilled on how to hold it better, and your phrasing connotes dismissal of user despair which is not my intent.
(I’m dismissive of calling the tool broken though.)
Remember when "Googling" was a skill?
LLMs are definitely in the same boat. It's even more specific where different models have different quirks so the more time you spend with one, the better the results you get from that one.
Those skills will age faster than Knockout.js.
Why would a skill that's being actively exercised against the state of the art, daily, age poorly?
Do you think it's impossible to ever hold a tool incorrectly, or use a tool in a way that's suboptimal?
If that tool is sold as "This magic wand will magically fix all your problems" then no, it's not possible to hold it incorrectly.
If your position is that any product that doesn't live up to all its marketing claims is worthless, you're going to have a very limited selection.
Gotcha. I don't see these tools as being a magic wand nor being able to magically fix every problem. I agree that anyone who sells them that way is overstating their usefulness.
Why does it matter how it's sold? Unless you're overpaying for what it's actually capable of, it doesn't really matter.
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I found this a pretty apt - if terse - reply. I'd appreciate someone explaining why it deserves being downvoted?
It’s just dismissive of the idea that you have to learn how use LLMs vs a design flaw in a cell phone that was dismissed as user error.
It’s the same as if he had said “I keep typing HTML into VS code and it keeps not displaying it for me. It just keeps showing the code. But it’s made to make webpages, right? people keep telling me I don’t know how to use it but it’s just not showing me the webpage.”
There are two camps who have largely made up their minds just talking past each other, instinctively upvoting/downvoting their camp, etc. These threads are nearly useless, maybe a few people on the fringes change their minds but mostly it's just the same tired arguments back and forth.
It's something of a thought terminating cliché in Hacker News discussions about large language models and agentic coding tools.
Because in its brevity it loses all ability to defend itself from any kind of reasonable rebuttal. It's not an actual attempt to continue the conversation, it's just a semantic stop-sign. It's almost always used in this fashion, not just in the context of LLM discussions, but in this specific case it's particularly frustrating because "yes, you're holding it wrong" is a good answer.
To go further into detail about the whole thing: "You're holding it wrong" is perfectly valid criticism in many, many different ways and fields. It's a strong criticism in some, and weak in others, but almost always the advice is still useful.
Anyone complaining about getting hurt by holding a knife by the blade, for example, is the strongest example of the advice being perfect. The tool is working as designed, cutting the thing with pressure on the blade, which happens to be their hand.
Left-handers using right-handed scissors provides a reasonable example: I know a bunch of left-handers who can cut properly with right-handed scissors and not with left-handed scissors. Me included, if I don't consciously adjust my behaviour. Why? Because they have been trained to hold scissors wrong (by positioning the hand to create opposite push/pull forces to natural), so that they can use the poor tool given to them. When you give them left-handed scissors and they try to use the same reversed push/pull, the scissors won't cut well because their blades are being separated. There is no good solution to this, and I sympathise with people stuck on either side of this gap. Still, learn to hold scissors differently.
And, of course, the weakest, and the case where the snark is deserved: if you're holding your iPhone 4 with the pad of your palm bridging the antenna, holding it differently still resolves your immediate problem. The phone should have been designed such that it didn't have this problem, but it does, and that sucks, and Apple is at fault here. (Although I personally think it was blown out of proportion, which is neither here nor there.)
In the case of LLMs, the language of the prompt is the primary interface -- if you want to learn to use the tool better, you need to learn to prompt it better. You need to learn how to hold it better. Someone who knows how to prompt it well, reading the kind of prompts the author used, is well within their rights to point out that the author is prompting it wrong, and anyone attempting to subvert that entire line of argument with a trite little four-sentence bit of snark in whatever the total opposite of intellectual curiosity is deserves the downvotes they get.
Except this was posted because the situation is akin to the original context in which this phrase was said.
Initial postulate: you have a perfect tool that anybody can use and is completely magic.
Someone says: it does not work well.
Answer: it’s your fault, you’re using it wrong.
In that case it is not a perfect tool that anybody can use. It is just yet another tool, with it flaws and learning curve, that may or may not work depending on the problem at hand. And it’s ok! It is definitely a valid answer. But the “it’s magic” narrative has got to go.
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