I tire of all of this discourse at this point because people who don't need to hear it are reading it and nodding, and the people who DO need to hear it are busy making everything worse, earning leadership accolades (or are the ones handing them out), and are completely closed to any criticism or input.
Anyone with intellectual curiosity and any sense of subtlety or balance is operating in a separate reality from people who are so AI-pilled and very proud of it and there's basically no possible cross talk (usually because the AI-pilled people are the ones who own all the shares).
I say this as someone who really likes LLMs and what roles they'll play in software engineering in the future (and already are, right now).
I can't wait until the AI craze is in the same spot that the crypto craze is currently. People are still using and building with crypto, but the sale of ape PNGs has mostly stopped, and now if I have a problem that a blockchain could solve, I could actually talk about it instead of accidentally picking up a battle standard in the middle of a trench war.
IDK, I think googling the author first tells me everything I need to know about their perspective.
/jk .. (To be clear, googling as a term is in my view akin to saying, "Claude says..." )
Seriously though, I think it's true that laziness is both a useful skill and something to be concerned about leaning on too heavily.
But there's always those times when a person is not going to act intellectually, intelligently nor critically.
The irony at this time is that we are being confronted with our own fallibility as a species, at this level of evolutionary sophistication, and we are just not smart enough to manage the change without being harmed. Likely modern AI will cause many of us some moderate amount of harm, given our dependance upon technology, and the radical + continuously drawing capabilities of AI.
I think the AI craze will never be slower, and will only increase in pace and intensity. It's like infinite labor, just add electricity.
So have empathy for each other. Have empathy for each other's lack of perfection. Trust in reasonable systems and reasonable human judgment. Love, life, seriously, because this increasingly more powerful technology does not give a rats ass about life.
It took maybe a decade to teach people to not use "@here" on Slack, and avg. response time of an email isn't 10 minutes. Technology comes out, many people fumble through for years, until finally some etiquette is formed. Happens all the time.
I don't remember the last time someone dropped me the first link out of a Google search, telling me they haven't read themselves and have no idea about its contents. Yet I see it happen in various 1-1 and public settings with Claude all the time.
In those discussions people often don't use this as a "Here let me Claude it for you" kind of protest, but genuinely they mean "I copy pasted this topic to Claude, and Claude said this. I'm meat-proxying to you, and absolutely haven't invested a single microsecond of my time on it". Obviously the expectation is you'd invest the effort they haven't.
My strategy and hope, is to give it a decade. It will probably get better.
I have to disagree a bit here, people (including me sometimes) can take the lazy way out and just tell you what an agent said in response to a question which we shouldn't do. At that point it's little better than a let me google that for you link. However, while I may be passing along what I found using an agent, but usually I still had to do the work of prompting it, asking it to lookup information for me, and otherwise filtering the agent down to the relevant information. There is a good chance that I'm doing that because of my specific expertise in the subject area which is something outside of what you could have found by just asking an agent yourself.
Yes, a subject matter expert who uses their domain experience to word the prompt correctly, incorporate tacit knowledge and relevant sources, ask follow-up questions, and judge the LLM-generated responses for relevance and correctness is not taking a shortcut. They're using a tool to provide a better and faster answer than they would have been able to otherwise. It's a matter of how the tool is used and maybe the optics around how the response is communicated, but relaying Claude's final answer is not inherently the wrong thing to do.
> relaying Claude's final answer is not inherently the wrong thing to do.
But it's very poor communication, and (to a whole lot of people) comes off as dismissive and unhelpful. It's better to hear from the subject-matter expert than from genAI directly.
I'm reasonably opposed to LLMs, mostly from a human perspective. They reduce us to our output without factoring in any of the actual thoughts and experiences that go into that work, it's literally not in their training data.
It's unfortunate that we live in a world that has decided to push in this direction.
I have started a work project that is 100% vibe engineered, as an experiment to see where it would land. While it seems to be working, I can see that it has made so many mistakes along the way that it is still unclear if we can dig ourselves to production ready.
I was at an art museum recently, and was looking at a marble statue. And I thought to myself: this artist probably spent more time sculpting the big toe than anyone has spent appreciating the entire statue.
That speed is what we used to have in software engineering. So much careful craftsmanship, no line just yeeted out. And now we're just heading into a direction with no clear end, just prayers that bigger and better models will lift us forward.
What's the point of being human if we're so gung ho to remove that which separates us from other animals (our intellect)?
The one thing I do find extremely frustrating is how there can be some ridiculously painful obstacle that hits you in the face all the time when trying to ship code, and everyone is seemingly sympathetic, but it can't be changed for dubious compliance reasons, or maybe because if the barriers were lowered it would threaten the quality control for the code. Fair enough.
Then, of course, all of those speedbumps are demolished in record time, only for the AI agents and not for the humans, regardless of what caveats remain unsolved, with little regard for whether or not it meets compliance standards.
The obstacle is fixed. Just ask the AI agent to bypass it for you!
We’re currently entering that time and people are quickly learning that empirical evidence is the new output. It’s the difference between “I think the bug is here” vs “I fixed the bug and here’s the evidence I gathered from user telemetry”
This is pre-AI speak. Post-AI assumes we all maintain multiple concurrent chats and use that to search for information. “Claude says” becomes the new “I googled this”.
I started writing this as satire and I don’t like how realistic this gets.
I still don’t like it, if only because the power imbalance seems somehow worse than with Google.
I find it a little irritating when somebody literally copies and pastes a bot response without editing it at all. Not because it's wrong, but because it's full of cruft and slop. The core information is there, but it's surrounded by junk the author probably doesn't understand and hopes I will.
As a software engineer talking to other software engineers, I'm the controller of my domain knowledge. But my domain knowledge is now subjugated to Claude, and it tells me what it did. When someone else needs to know what I did, I have to ask Claude what it did. Then I send it over the fence and the other engineer does the same.
I don't think this is inherently bad. It's sort of like two managers talking to each other and having to talk to their employees about what's actually going on. What's bad is when the managers themselves don't understand it and just start blindly copying and pasting things. That's where you get into trouble.
If someone answers your question with "Claude says..." it's a clear indication that you should've asked the question to an LLM yourself before bothering a human.
This is just the new version of LMGTFY.
> AI is the reason our software stack is overengineered to the 10th degree
There's definitely times where the question is 'hard' enough (usually having to do with something so business specific the LLM won't have a great answer) where a true human answer is needed, but I do regularly still get asked questions of 'why is x failing' with a datadog link. And if you shove the exact logs they've already found that contain a stack trace, the LLM instantly tells you exactly what was wrong.
Disclosing that you got some info from an AI is way better than not. We’re all using AI in some capacity just be transparent about it. If you didn’t read the findings then say it. As always there’s nuance and it depends
No problem, the next time you have an issue or ask if anyone has any idea, I'll just ignore you and mind my business, confident that you can do the prompting yourself. Voilà, problem solved.
It's become so frustrating when literally everyone is just using Claude for everything. Simple messages and updates are fed through Claude. It's come to the point where any human language in corporate is punished.
I tire of all of this discourse at this point because people who don't need to hear it are reading it and nodding, and the people who DO need to hear it are busy making everything worse, earning leadership accolades (or are the ones handing them out), and are completely closed to any criticism or input.
Anyone with intellectual curiosity and any sense of subtlety or balance is operating in a separate reality from people who are so AI-pilled and very proud of it and there's basically no possible cross talk (usually because the AI-pilled people are the ones who own all the shares).
I say this as someone who really likes LLMs and what roles they'll play in software engineering in the future (and already are, right now).
I can't wait until the AI craze is in the same spot that the crypto craze is currently. People are still using and building with crypto, but the sale of ape PNGs has mostly stopped, and now if I have a problem that a blockchain could solve, I could actually talk about it instead of accidentally picking up a battle standard in the middle of a trench war.
IDK, I think googling the author first tells me everything I need to know about their perspective.
/jk .. (To be clear, googling as a term is in my view akin to saying, "Claude says..." )
Seriously though, I think it's true that laziness is both a useful skill and something to be concerned about leaning on too heavily.
But there's always those times when a person is not going to act intellectually, intelligently nor critically.
The irony at this time is that we are being confronted with our own fallibility as a species, at this level of evolutionary sophistication, and we are just not smart enough to manage the change without being harmed. Likely modern AI will cause many of us some moderate amount of harm, given our dependance upon technology, and the radical + continuously drawing capabilities of AI.
I think the AI craze will never be slower, and will only increase in pace and intensity. It's like infinite labor, just add electricity.
So have empathy for each other. Have empathy for each other's lack of perfection. Trust in reasonable systems and reasonable human judgment. Love, life, seriously, because this increasingly more powerful technology does not give a rats ass about life.
> accidentally picking up a battle standard in the middle of a trench war.
...nice
It took maybe a decade to teach people to not use "@here" on Slack, and avg. response time of an email isn't 10 minutes. Technology comes out, many people fumble through for years, until finally some etiquette is formed. Happens all the time.
I don't remember the last time someone dropped me the first link out of a Google search, telling me they haven't read themselves and have no idea about its contents. Yet I see it happen in various 1-1 and public settings with Claude all the time.
In those discussions people often don't use this as a "Here let me Claude it for you" kind of protest, but genuinely they mean "I copy pasted this topic to Claude, and Claude said this. I'm meat-proxying to you, and absolutely haven't invested a single microsecond of my time on it". Obviously the expectation is you'd invest the effort they haven't.
My strategy and hope, is to give it a decade. It will probably get better.
I have to disagree a bit here, people (including me sometimes) can take the lazy way out and just tell you what an agent said in response to a question which we shouldn't do. At that point it's little better than a let me google that for you link. However, while I may be passing along what I found using an agent, but usually I still had to do the work of prompting it, asking it to lookup information for me, and otherwise filtering the agent down to the relevant information. There is a good chance that I'm doing that because of my specific expertise in the subject area which is something outside of what you could have found by just asking an agent yourself.
Yes, a subject matter expert who uses their domain experience to word the prompt correctly, incorporate tacit knowledge and relevant sources, ask follow-up questions, and judge the LLM-generated responses for relevance and correctness is not taking a shortcut. They're using a tool to provide a better and faster answer than they would have been able to otherwise. It's a matter of how the tool is used and maybe the optics around how the response is communicated, but relaying Claude's final answer is not inherently the wrong thing to do.
> relaying Claude's final answer is not inherently the wrong thing to do.
But it's very poor communication, and (to a whole lot of people) comes off as dismissive and unhelpful. It's better to hear from the subject-matter expert than from genAI directly.
I'm reasonably opposed to LLMs, mostly from a human perspective. They reduce us to our output without factoring in any of the actual thoughts and experiences that go into that work, it's literally not in their training data.
It's unfortunate that we live in a world that has decided to push in this direction.
I have started a work project that is 100% vibe engineered, as an experiment to see where it would land. While it seems to be working, I can see that it has made so many mistakes along the way that it is still unclear if we can dig ourselves to production ready.
I was at an art museum recently, and was looking at a marble statue. And I thought to myself: this artist probably spent more time sculpting the big toe than anyone has spent appreciating the entire statue.
That speed is what we used to have in software engineering. So much careful craftsmanship, no line just yeeted out. And now we're just heading into a direction with no clear end, just prayers that bigger and better models will lift us forward.
What's the point of being human if we're so gung ho to remove that which separates us from other animals (our intellect)?
You still have your appreciation for music and laughter.
Yeah, I have no interest in becoming a pet. Especially not as a species.
The one thing I do find extremely frustrating is how there can be some ridiculously painful obstacle that hits you in the face all the time when trying to ship code, and everyone is seemingly sympathetic, but it can't be changed for dubious compliance reasons, or maybe because if the barriers were lowered it would threaten the quality control for the code. Fair enough.
Then, of course, all of those speedbumps are demolished in record time, only for the AI agents and not for the humans, regardless of what caveats remain unsolved, with little regard for whether or not it meets compliance standards.
The obstacle is fixed. Just ask the AI agent to bypass it for you!
We live in an interesting time.
I have been in meetings where the conversation has been 'my Claude has got feedback', 'great, I'll get my Claude to take a look'.
When do you just cut out the human middleware in that process?
We’re currently entering that time and people are quickly learning that empirical evidence is the new output. It’s the difference between “I think the bug is here” vs “I fixed the bug and here’s the evidence I gathered from user telemetry”
This is pre-AI speak. Post-AI assumes we all maintain multiple concurrent chats and use that to search for information. “Claude says” becomes the new “I googled this”.
I started writing this as satire and I don’t like how realistic this gets.
I still don’t like it, if only because the power imbalance seems somehow worse than with Google.
I find it a little irritating when somebody literally copies and pastes a bot response without editing it at all. Not because it's wrong, but because it's full of cruft and slop. The core information is there, but it's surrounded by junk the author probably doesn't understand and hopes I will.
As a software engineer talking to other software engineers, I'm the controller of my domain knowledge. But my domain knowledge is now subjugated to Claude, and it tells me what it did. When someone else needs to know what I did, I have to ask Claude what it did. Then I send it over the fence and the other engineer does the same.
I don't think this is inherently bad. It's sort of like two managers talking to each other and having to talk to their employees about what's actually going on. What's bad is when the managers themselves don't understand it and just start blindly copying and pasting things. That's where you get into trouble.
Wasn’t it also like google says?
It's "I saw it on Google" on steroids.
Human slop.
If someone answers your question with "Claude says..." it's a clear indication that you should've asked the question to an LLM yourself before bothering a human.
This is just the new version of LMGTFY.
> AI is the reason our software stack is overengineered to the 10th degree
Complete BS.
There's definitely times where the question is 'hard' enough (usually having to do with something so business specific the LLM won't have a great answer) where a true human answer is needed, but I do regularly still get asked questions of 'why is x failing' with a datadog link. And if you shove the exact logs they've already found that contain a stack trace, the LLM instantly tells you exactly what was wrong.
Disclosing that you got some info from an AI is way better than not. We’re all using AI in some capacity just be transparent about it. If you didn’t read the findings then say it. As always there’s nuance and it depends
No problem, the next time you have an issue or ask if anyone has any idea, I'll just ignore you and mind my business, confident that you can do the prompting yourself. Voilà, problem solved.
It's become so frustrating when literally everyone is just using Claude for everything. Simple messages and updates are fed through Claude. It's come to the point where any human language in corporate is punished.
[delayed]