Hacker NewsArticle URL: https://www.artfish.ai/p/offloading-thinking-to-ai
Comments URL: https://news.ycombinator.com/item?id=48908178
Points: 457
# Comments: 420
Hacker News 讨论
457 points · 420 comments · 查看原帖
- zerobees
I don't know if this is a good framing. "Too much" is subjective, and every heavy AI user will assert that they're just unlocking their potential, that calculators didn't make us dumber, etc. But to latch onto the calculator argument: if you outsource adding numbers to a calculator, you're still you. On the flip side, if you use an LLM do most of your thinking, what's left? We have people here who use LLMs to raise their children, to manage relationships, to design products. So what's your unique contribution to this world - is it the prompt you once wrote? You're standing in front of a token-generating machine, pulling a lever, sometimes receiving gifts. Is that your edge, your unique experience, your purpose in life? Many LLM maximalists say they use the tech to learn new things, but to what effect? Are you going to apply that knowledge of physics or computer science yourself, or will
- ofjcihen
I know that the common refrain is “think of yourself as a manager now” but I’ve actually taken the opposite approach and have been telling anyone I train the same. Diving deeper into technical understanding makes more sense to me at this point both as a way to make yourself more useful in the age of AI and also to use AI more effectively. I regularly tell the kids to grab a text book on a subject that interests them and I do the same. I’m willing to bet deep understanding is going to become a commodity soon.
- bsoles
I thought it was a myth until the junior developer on my own team responded with "I don't know" to a question about why he made a certain computation during a design review. Because the (wrong) computation was fully AI generated and he couldn't even tell the difference. Most people don't use AI to learn new stuff. They use it to do "the job" for them and they don't even understand the result. What is the point of a person if they don't bring any value to the table other than being a "resource" to generate prompts?
- roncesvalles
I fear more for the future where you're forced to offload your thinking to AI. Everything you say must be cited with LLM, everything you do must be signed off by The LLM. If you're in a meeting and have an idea, but Fable 9 says it's not a good idea, you cannot pursue it or you lose your job. The low-friction path will always be to do what the LLM tells you, and many people will shut off and surrender completely. (this is already how SWEs behave in companies where management forces them to tokenmaxx). AI will be treated like a God that talks to us, and you can't disagree with it, you can only try to change its mind. The most horrific form of mental oppression. And it's just a few years away.
- ericpauley
> What are we automating? Human work or human agency? Human tasks or human thinking? I find it's so easy to convince oneself they're doing the former when it's increasingly the latter. The thinking part is so often provided by default by the models, or is a single prompt away. The thoughts are so syntactically (though not stylistically) perfect that it's difficult to ignore them and reason greenfield. What's the solution? Given how keen models are to short-circuit the thinking process it could be the only solution is to silo off tasks/ideas. Choosing which mental tasks to silo off is itself incredibly difficult especially when there's a pressure to deliver rapidly (and in quantity) on those tasks.
- AnEro
When I use a calculator, I atleast try to get with in a few digits of what I think the anwser is in my head. Mostly since when I was younger I had a very passionate teacher about how much slower everyone is now because of calculators on simple math. I just apply the same thing with LLMs, just try and think of how and what I would have said and see how close I was. Only thing I change is I don't trust the anwsers and accept some nuance in the given context. It's a double edge sword because then I crash out over it more than if I don't. When it over and under explaining the wrong sections or when it gets to an objectively terrible solution that technically anwsers the question. It feels like a student trying to get brownie points and/or give fluffed anwsers for the sake of not leaving anything blank on a test.
- ForgotMyUUID
> ...become slightly more enjoyable. Yeah, life always becomes more enjoyable when someone else did the job for you. Especially enjoyable, when your problems become smb's else problems. E.g. your mother as a teacher is now solving a quality-control problem : "When i give A mark to this student, do I characterize their actual level or it was ai-generated." If it turns out in the future that this evaluation was wrong, it is a responsibility of a teacher and the reputation of the school that suffers. I talk here as a teacher myself and this "delegatative thinking" is currently at a disasterous scale. Unfortunately, this effect works one-way : if you are a prodigy, only a few people will know your alma mater. People will think about your personal hardwork. In the opposite case, especially if someone suffered because your ai-consulting sessions, people do not tend to blame your work style, th
- specproc
I am increasingly finding my consulting work to be orientated around clearing up after people who outsourced their thinking to AI. I'm seeing some incredibly dumb stuff: researchers spending months on Claude trying to do insane deduplication, unrelated to their research question, using regex; whole research methodologies YOLO'd out of ChatGPT. The results invariably chaotic, resulting in huge amounts of stress and wasted time. Non-technical people are treating LLMs like an oracle, making big assumptions and decisions with little regard for their implications, because their clanker told them to. It's scary out there. The lack of critical thinking I'm seeing in some of these projects is horrific. Not unique to the post-AI era, certainly, but on a whole new level. Bad things are undoubtedly happening everywhere, right now, because someone's just like "let's ask Claude".