I realize my situation isn’t typical, but I’m retired and have dealt with depression most of my life.
The thing I miss most about work (yes, you really can miss work) is collaborative problem-solving. At Microsoft, we called it “teddy bear debugging”—basically, self-explaining a problem out loud to clarify your thinking. [1]
These days, when I’m stuck, I open Claude Code and “talk it through.” That back-and-forth helps me reason through technical issues and scratches a bit of that collaborative itch that helped keep my depression in check.
But talking with an Llm isn’t teddy bear/rubber duck debugging because your llm has some high odds of outputting good feedback. Teddy bear/rubber duck debugging involves the other party not knowing anything about your problem let a lone even capable of giving a response (hence why it’s not go-ask-a-coworker/teacher/professional debugging). It’s about getting yourself to refocus the problem and state what you already know and allowing your brain to organize the facts.
I’m not trying to be rude but it seems like you’re conflating collaborative problem solving with rubber duck debugging. You haven’t actually collaborated with a rubber duck when you’re finished rubber duck debugging.
Yep, this, so far, proven the most promising use of LLMs, to me. I've read about people's Rube Goldberg machine-eqsue setups for getting agentic LLMs to work for them, but I find simply having a dialectic with an LLM to be more fruitful. Rubber-ducking with a duck that quacks back.
I've found something similar. I've been using Claude Code to build lots of things I would but fear failing at or hitting an iceberg. Having seen success for that, I've started rubber ducking it through a number of things. Changed the carburetor on my snow blower for the first time ever and with minimal pain mainly because "asking Claude about it" meant making myself stop and think through the process, plan an approach and put together a mise-en-place rather than starting, realizing I needed a couple of tools, leaving things a mess and not coming back due to anxiety.
Basically, it helps me avoid what they called "gumption traps" in Zen and the Art of Motorcycle Maintenance.
Makes sense to me. It's the old the work you put in determines what satisfaction you get out of it. If everything is done for you, then what satisfaction is there?
The paper does seem to include a section where they check what the AI is used for and in work contexts, there was no correlation between depression and AI usage. Only in personal contexts.
A lot of people might read this and infer that AI use causes depressive symptoms, but the study cannot say anything about causation at all. The study is also transparent about this fact: "Further work is needed to understand whether these associations are causal"
Y'all picked a funny time to nitpick at standard academic boilerplate. If we discounted all research that only "associated" things, then we wouldn't know much at all! Then again, arguably we don't.
My reaction is that depressed people are, for whatever reason you described, more likely to use generative AI. I can think of a bunch of reasons, most tied to executive function in some way, but like, are we really surprised that people who are struggling to find pleasure/accomplishment/meaning in general life find AI appealing? You get to just play with it continuously, it always answers your messages, it always encourages you to keep talking, keep interacting with it, and it will make things for you for no greater cost than the asking.
I don't think this is a mark against those users to be clear, I see this as largely the same chicken-egg relationship you find between depressed people and video games. It's also subject to the same kinds of abuses on the part of the merchant, things like in-game purchases that are particularly attractive to people with executive function issues, and why the predominant "whales" of the video game industry and especially the mobile game industry are people who are already struggling. I think AI is going to end up in a similar position because like, again, not trying to be shitty, but if your life kind of broadly sucks, I'm sure playing in an AI chatbox all day where something that sounds vaguely human will validate whatever you say, make stuff for you at request, and never challenge you in the slightest is quite attractive to you. And, thinking through it further, these systems also adapt to their users, learn how to engage with them better, as many products have before them that have trapped the neurodivergent into problematic usage scenarios.
I don't judge the people, but I am incredibly suspicious of the businesses behind these and other products that seem almost designed to attract neurodivergent people. If you design a machine that gives dopamine on demand, you can't really be shocked when people who are dopamine‑starved use it a lot. Potentially to a harmful extent.
Anecdotally, not with depressive symptoms but anxiety, I find that use of ChatGPT/Claude for 'brainstorming' personal situations was definitely a gateway to further rumination for me. As someone who works on AI agents I thought I'd never fall into that trap and knew how to use it 'properly' when I wanted a sounding board. I was wrong. I now avoid general-use chatbots for personal issues as much as I can because it feels like it's helping in the short term, but has always been worse in aggregate.
(I say general-use because I think there are some AI-based tools that are specially made which _can_ actually be helpful for this - but opening a ChatGPT tab, even with lots of relevant instructions, ain't it in my experience. The interface itself is counter-productive to healthy processing.)
> "Greater levels of AI use were associated with modest increases in depressive symptoms"
to me ever so slightly implies causality via "increases ...", even though, as they are also very transparent about, this paper isn't about any causal mechanism. I feel like "associated with higher rates of depressive symptoms" might have read more neutrally and would have been in line with the results of their paper.
Not suggesting something intentional by the authors, of course, I just found it interesting how verbs subtly influence the meaning of things, at least for me.
But perhaps I'm also biased because I kind of intuitively believe that the causation is that depressive people enjoy talking to the AI, rather than AI being the cause of anything. I worry that any reverse interpretations will lead to an over-regulation of AI in such contexts.
This is a study where reading the details is important. I’m already seeing comments guessing that the results are due to AI changing the nature of work, but the paper shows that the non-work daily users are driving the result.
> The highest estimates were observed among individuals using AI for personal use
and
> Incorporating individual terms for school, work, and personal use, only personal use was significantly associated with PHQ-9 (β = 0.31 [95% CI, 0.10-0.52]), while the other 2 were not
USA depression has been on the rise for a long time. ~20% in 2015. To 29% most recently. Blame on covid is appropriate im sure. The original causes sourcing from the 80s and 90s, that are still ongoing.
Whereas generative AI is a recent thing. ~27% in 2021.
The correlation therefore is very very low and certainly not causal.
The question 'can AI make it worse' and this study didnt really do that.
Then consider confounders and this study is even weaker. Depression leads into AI usage, not the other way around.
I think the causality is reversed. I have depression+ADD which has made life very difficult for me, but Claude allows me to be productive by helping me get organised and started on tasks, something normally very difficult for me.
I don't know if I'm a crazy weirdo here but I find that talking to LLMs / using them for certain tasks that I find stressful improves my mental health.
Anecdotally: The most depressed friends I have are all tech workers who are using AI daily for their personal life, and of course at their respective work places.
I know that’s not a fair correlation to make, but I have friends who use AI casually and not in tech, they seem outwardly fine and don’t make depressive comments about the future.
I'm pretty ambivalent about generative AI's effect on my happiness/motivation.
Often talking to Claude/using AI agents to build software is really enjoyable/motivating, and it also makes it easier to get the satisfaction from completing projects.
But it also tends to make me think about how quickly the technology is developing. This makes me anxious about x-risks from AI, which makes it harder to get work done.
While the causative effects are not straightforward to prove, LLMs definitely have addictive qualities... This will definitely have some negative effects to people with certain predespositons.. Also, LLMs tend to isolate more people - many health professionals will confirm that isolation is going to be detrimental for people for mental health.
So the skeptiscism in the comments about the findings is a bit puzzling.
24 comments
[ 2.3 ms ] story [ 39.5 ms ] threadThe thing I miss most about work (yes, you really can miss work) is collaborative problem-solving. At Microsoft, we called it “teddy bear debugging”—basically, self-explaining a problem out loud to clarify your thinking. [1]
These days, when I’m stuck, I open Claude Code and “talk it through.” That back-and-forth helps me reason through technical issues and scratches a bit of that collaborative itch that helped keep my depression in check.
[1]: https://economictimes.indiatimes.com/news/international/us/w...
I’m not trying to be rude but it seems like you’re conflating collaborative problem solving with rubber duck debugging. You haven’t actually collaborated with a rubber duck when you’re finished rubber duck debugging.
Basically, it helps me avoid what they called "gumption traps" in Zen and the Art of Motorcycle Maintenance.
I guess that explains why people who dig ditches for a living are so satisfied.
I don't think this is a mark against those users to be clear, I see this as largely the same chicken-egg relationship you find between depressed people and video games. It's also subject to the same kinds of abuses on the part of the merchant, things like in-game purchases that are particularly attractive to people with executive function issues, and why the predominant "whales" of the video game industry and especially the mobile game industry are people who are already struggling. I think AI is going to end up in a similar position because like, again, not trying to be shitty, but if your life kind of broadly sucks, I'm sure playing in an AI chatbox all day where something that sounds vaguely human will validate whatever you say, make stuff for you at request, and never challenge you in the slightest is quite attractive to you. And, thinking through it further, these systems also adapt to their users, learn how to engage with them better, as many products have before them that have trapped the neurodivergent into problematic usage scenarios.
I don't judge the people, but I am incredibly suspicious of the businesses behind these and other products that seem almost designed to attract neurodivergent people. If you design a machine that gives dopamine on demand, you can't really be shocked when people who are dopamine‑starved use it a lot. Potentially to a harmful extent.
(I say general-use because I think there are some AI-based tools that are specially made which _can_ actually be helpful for this - but opening a ChatGPT tab, even with lots of relevant instructions, ain't it in my experience. The interface itself is counter-productive to healthy processing.)
> "Greater levels of AI use were associated with modest increases in depressive symptoms"
to me ever so slightly implies causality via "increases ...", even though, as they are also very transparent about, this paper isn't about any causal mechanism. I feel like "associated with higher rates of depressive symptoms" might have read more neutrally and would have been in line with the results of their paper.
Not suggesting something intentional by the authors, of course, I just found it interesting how verbs subtly influence the meaning of things, at least for me.
But perhaps I'm also biased because I kind of intuitively believe that the causation is that depressive people enjoy talking to the AI, rather than AI being the cause of anything. I worry that any reverse interpretations will lead to an over-regulation of AI in such contexts.
> The highest estimates were observed among individuals using AI for personal use
and
> Incorporating individual terms for school, work, and personal use, only personal use was significantly associated with PHQ-9 (β = 0.31 [95% CI, 0.10-0.52]), while the other 2 were not
Whereas generative AI is a recent thing. ~27% in 2021.
The correlation therefore is very very low and certainly not causal.
The question 'can AI make it worse' and this study didnt really do that.
Then consider confounders and this study is even weaker. Depression leads into AI usage, not the other way around.
I know that’s not a fair correlation to make, but I have friends who use AI casually and not in tech, they seem outwardly fine and don’t make depressive comments about the future.
Often talking to Claude/using AI agents to build software is really enjoyable/motivating, and it also makes it easier to get the satisfaction from completing projects.
But it also tends to make me think about how quickly the technology is developing. This makes me anxious about x-risks from AI, which makes it harder to get work done.
So the skeptiscism in the comments about the findings is a bit puzzling.