Ask HN: To what extend have you stopped or limited your use of AI?
Hi HN, I'm a researcher trying to understand the ways in which you have limited or stopped using AI tools.
Knowledge work is evolving, and I'm trying to understand the lived experiences of how you are actually working. There's plenty of content out there in the genre of AI for "X", using tools etc - but I'm curious to learn if you adopted AI as part of some area of work - but have now chosen to stop it. What was the context? What did or did not work?
37 comments
[ 2.6 ms ] story [ 60.6 ms ] threadI do limit my use today, compared to a few months ago.
Most of that is having successfully mapped out use cases that make sense, I find myself doing less seeking. Where it is a net gain, go; otherwise, why bother?
Many things appear to work at first, right. Most of the time, using AI seems great, until one spends a lot of time working out lots of important details. A bunch of prompts later...
Yeah.
Sometimes it is nice to begin with something, even if it is wrong. AI is great for that.
Funny how often it is we can write in response to errors! Out it comes! Like that fire hose trope.
In that vein:
Proposal templates, and other basic create tasks can start with a boost.
Oh, a surprising one was distilling complex ideas into simple, direct language!
And for code, I like getting a fragment, function, whatever all populated, ready for me to just start working with.
Bonus for languages I want to learn more about, or just learn. There are traps here. You have to run it with that in mind.
Trust, but verify.
What did not work:
Really counting on the things. And like most everyone I suppose, I will easily say I know better. Really, I do, but... [Insert in here.]
Filtering of various kinds.
I may add to this later.
Funny that I'm exploring the impacts of over-dependance/reliance on AI tools, and made a mistake because of the same. Will certainly proof-read after using speech to text!
and yes, extent*
I also have no interest in technology that impedes my skill development. I do not want to use anything that makes me a worse writer over time.
YMMV, I am answering the OP not evangelizing. Counter arguments will be ignored.
Code completions are fine. Driving code through chat is a complete waste of time (never saves time for me; always ends up taking longer). Agentic coding (where the LLM works autonomously for half an hour) still holds some promise, but my employer isn't ready for that.
Research/queries only for very low stakes/established things (e.g., how do I achieve X in git).
I believe we are heading toward a world where AI offers easy mental shortcuts for nearly everything, similar to how cheap carbs became widespread in our diets. I do not yet know how I will deal with that. For now, I am just a kid in a candy store, enjoying the novelty.
I am curious if using AI has changed the fundamental ways in which you view "effort" and "value" from pursuing a piece of work.
Are there are new kinds of challenges that come up when you're using some new AI tools?
I find the analogy to candy particularly interesting. The default comparison being that "too much of it is bad for you". Do you feel that you are putting on "cognitive weight" as a result of using AI?
I've observed colleagues who have used it extensively, I've often been a late adopter for things that carry unspecified risk; and AI was already on par with Pandora's box in my estimation when the weights were first released; I am usually perceptually pretty far ahead of the curve naturally (and accurately so).
Objectively, I've found these colleagues attitude, mental alacrity, work product, and abstract reasoning skills have degraded significantly in reference to their prior work pre-AI. They tried harder, got more actual work done, and were able to converse easily and quickly before. Now its, let me get back to you; and you get emails which have been quite clearly put through an LLM, with no real reasoning happening.
What is worse, is its happened in ways they largely do not notice, and when objective observations are pointed out, they don't take kindly to the feedback despite it not being an issue with them, but with their AI use, and the perceptual blindspots it takes advantage of. Many seem to be adopting destructive behaviors common to junkies, who have addiction problems.
I think given sufficient time, this trend will be recognized; but not before it causes significant adverse effects.
The core question is not “are we degrading,” but rather: are we thinking better with better tools? Personally, I use AI only to reduce boilerplate and explore alternatives — the decision-making and abstraction stays on me.
If someone starts thinking less because of tools, the problem isn't the tool — it's how it's used.
What are some ways in which you have seen the perceptual abilities of coworkers erode over time?
An efficiency oriented logic makes us think that we're getting the work done "faster", and it "feels" like faster time to market, but in reality you experience a slowdown and a decline in quality...
PS: my own dependance on Wispr (a speech to text dictation tool) changed the way I write / interact with computers - my over-reliance meant I didn't proofread the title, and the "EXTEND" sticks out like a sore thumb...
I took a course awhile back taught by a retired military professor on communications and it was eye-opening. He covered what you would expect but with a slant towards 5GW, irregular warfare, political warfare; and heavily referenced Gershanek as a supplemental book; which is published by Navy Press. (https://www.usmcu.edu/Portals/218/Political%20Warfare_web.pd...)
Communications holds a privileged position that is tied strongly to and influences our individual psychology and identity.
Reflected appraisal is how we adopt culture from our parents, and it can be manipulated to distort that in ways that are harmful, if you understand the mechanics; and distortions cause psychological stress (the basis for torture), which can be used for malign influence, destructive interference of core identity, compulsion, or torture.
This along with other structures, elements, and clustering, can cause changes where if you aren't mindful of your environment, you don't recognize its happened, all you have is confusion, as your identity/soul gets pealed back and hollowed out, and this is the basis for how cult programming, and the related involuntary hypnosis works in practice. The same goes for PoWs from the 1950s.
There's quite a lot of material on this if you know where to look.
> Some ways in which you have seen the perceptual abilities of coworkers erode over time?
This is going to sound very subjective, but their overall cognitive speed has decreased dramatically. When you learn a skill to the point where its automatic, you can get a good flow going from a to b to c pivot to e, etc with no delays; and they struggle with each step/connection, each reasoning portion. Almost like there's interference, but its persistent and consistent; and they either don't notice, or they get defensive.
When they need to make a determination or design decision, they will miss the pivots, and not account for things that lead to significant mistakes which would never have happened before.
The solutions they come up with are for the most part no longer creative. They used to take functional structures they had collected and knew well that worked, and repurpose them, or apply them in ways that were quite creative towards a problem that they defined. Now they largely don't; and the definition of the problems they define are only slightly better than the LLM at this point; it used to be much better.
A lot of due diligence is also no longer being done. When asked about specific things, instead of being able to answer, they get confused, sometimes even incoherent, behaviors that seem very dementia-like, but these are guys almost fresh out of college in their mid 20s, and they aren't on drugs (we are all tested regularly).
There are ways people can be blinded, where they will adopt a misleading stance based upon structure (without any reasoning), even very intelligent people.
I'm of the opinion the inconsistency of the LLM's responses which are treated as communication, are gradually damaging people. Incidentally, people who have had a lot of exposure also have stopped taking on the more difficult or challenging tasks.
Given the above, it's useful as hell for generating templates and usable starters for creating your own work when you're feeling stuck, and that's mainly it for me.
I'm not delegating my thinking to a machine that can't think.
Learned helpesness as a service isn't a thing I want and I worry that long term it will make me think less deeply in ways I can't predict.
I've tried for years to build writing tools with AI. I think for the most part, it doesn't work well and they have become worse (more unnatural) since GPT-3, with the exception of GPT-4.5 and Gemini 1.5 Flash.
There are bits you can delegate to AI: Writing punchy intro paragraphs. Brainstorming titles. Starting off dialogue in a certain style, but it can't sustain it for very long. Or dialogue as another person - you often don't want two characters with similar language.
Writing is thinking. You can rubber duck it for ideas. And it does bounce back some good ones. But you can't expect it to do the heavy work.
Lately, I've been reversing the dynamic - getting AI to generate the bullet points while I write the document. The last straw was when I got it to summarize a doc, and then got it to do work based off the doc it wrote. It would get half the work wrong.
I’m also type 1 diabetic and this is like asking me to what extent I have stopped or limited my use of insulin.
AI and insulin (to different extents) make my life better in significant ways. Why would I stop or limit that?
I don’t want to pay for top notch AI, just like I don’t pay for top notch kernels (i.e., linux), top notch version systems (i.e., git) and so on.
This has largely taken me out of the loop. I give it detailed task like I would a junior engineer, and we discuss approaches and align on direction, priorities, and goals, and it then goes off for literally hours iterating on the code.
I have done about 3 months worth of extremely complex engineering work in about a week since I started doing this.
It is a step change from trying to use the chat interface and copy/pasting snippets.
Once it’s going it writes code like a staff engineer.
There are some obscure bugs it can run into that it needs my 20 years of experience to unblock or unwind when it goes down a rabbit hole.
But it has accelerated my development 500x and while it’s iterating I’m not filling my mind with code and syntax and so on, I’m more like a tech lead or manager now. I’m in another room playing with my dog.