I haven’t stopped using AI, but I use it less than I did a few months ago. Now I mostly turn to it when I’m stuck or need inspiration. Using it less actually made me more efficient.
It's not forced, but the atmosphere has definitely shifted. These days, before we even start on a task, the first question is often "Can we solve this with AI?" Over time, it starts to feel like we're working around the tool instead of focusing on the actual problem.
I’ve tried all kinds of tools but I always end up back at the terminal. It’s simple, direct, and helps me stay focused which makes me work more efficiently.
Being productive isn’t always about using the newest tools. It’s about finding what really fits your rhythm. The terminal might look basic but it’s a minimal and powerful way to get things done.
Feels a bit much to ask students to open up all their social media just to study in the US. People post things without thinking too much, and now that could hurt their future.
Not sure this is the kind of message we want to send.
When I write with AI, it feels smooth in the moment, but I’m not really thinking through the ideas. The writing sounds fine, but when I look back later, I often can’t remember why I phrased things that way.
Now I try to write my own draft first, then use AI to help polish it. It takes a bit more effort upfront, but I feel like I learn more and remember things better.
These days when I write code, I usually let the AI generate a first draft and then I go in and fix it. The AI does not always get it right, but it helps lay out a lot of the repetitive and boring parts so I can focus on the logic and details.
Before, building a small tool might take me an entire evening. Now I can get about 70 to 80 percent done in an hour, and then just spend time debugging and fine-tuning. I still need to understand all the code in the end, but the overall efficiency has definitely improved a lot.
I feel that the effects of fine-tuning are often short-term, and sometimes it can end up overwriting what the model has already learned, making it less intelligent in the process.
I lean more towards using adaptive methods, optimizing prompts, and leveraging more efficient ways to handle tasks. This feels more practical and resource-efficient than blindly fine-tuning.
We should focus on finding ways to maximize the potential of existing models without damaging their current capabilities, rather than just relying on fine-tuning.
I used to think that monitoring and alerting systems were just there to help you quickly and directly see the problems.But as the systems grew more complex, I found that the dashboards and alerts became overwhelming, and I often couldn’t figure out the root cause of the issue.
Recently, I started using AI to help with analysis, and I found that it can give me clues in a few seconds that I might have spent half a day searching for.
While it's much more efficient, sometimes I worry that, even though AI makes problem-solving easier, we might be relying too much on these tools and losing our own ability to judge and analyze.
The current search engines really feel like a librarian who's always trying to sell you something. I just want to find a simple answer, but I keep getting led to all kinds of other pages.
I believe if search engines were more like public libraries, focused on providing information rather than recommending things for commercial reasons, the experience would be so much better.
I’ve tried a few AI-powered calorie tracking tools too. At first it felt super convenient, just take a photo and get the numbers.
But over time I kept seeing mistakes. Sometimes it would even tag a salad as soup.
Eventually I went back to the old way. Fewer photos, more mindful eating. Honestly I feel better that way.
I didn’t know there were already examples like metastatic melanoma where the timing is clearly defined.
It makes me wonder if other treatments could also benefit from getting the timing right.
Thanks for sharing this. I’ll definitely look into it more.
I once accompanied a family member through immunotherapy. The treatment times were mostly arranged by the hospital, and the doctor suggested doing it in the morning.
We just thought it was to avoid the afternoon rush.
Looking back, though, they really did seem to feel better with morning treatments.
Now I realize the timing itself might actually affect how well it works.
I really hope that in the future, doctors will consider not just the drug and the dosage, but also when it’s given.
Sounds pretty promising. If this kind of material can really replace single-use plastic, that would be amazing.
We use way too much plastic every day. Sometimes just for a few minutes, but it takes decades to break down.
If the alternative is actually safe and easy to use, I think people would be more willing to make the switch.
Lately I’m not even sure if the things I say on OpenAI are really mine or just part of the platform.
I never used to think much when chatting, but knowing some of it might be stored for a long time makes me feel uneasy.
I’m not asking for much. I just want what I delete to actually be gone.
These cockatoos are truly the rockstars of the bird world.
Not only can they learn to operate drinking fountains, but they also queue up to drink.
Have they in some way, already mastered the use of tools and problem-solving abilities, just like humans do?
At first I kept thinking the model just wasn't good enough, it just couldn’t give me what I wanted.
But over time, I realized the real problem was that I hadn’t figured out what I wanted in the first place.
I had to make my own thinking clear first, then let the AI help organize it.
The more specific and patient I am, the better it responds.
A lot of the time, the work we do doesn’t get much recognition, and barely gets seen.But maybe it still helped in some small way.
Thinking about that makes it feel a little less disappointing.
I'm not an artist, and I don't know much about aesthetics.
But I've always felt that the most meaningful kind of image is one that somehow captures what you were feeling inside at the time.
AI-generated art can be stunning, but the more I see, the more it feels a bit empty. It often looks great, but there's no emotion behind it.
I initially tried keto just to lose weight.
But to my surprise, after about three weeks, I started feeling much clearer mentally, and overall just lighter, like something had lifted.
Back then, I thought it was just a coincidence. Now, reading this paper, I’m starting to think it might really have something to do with how the brain gets its energy.
I once met a researcher who spent six months verifying the results of a published paper. In the end, all he received was a simple “thanks for pointing that out.”
He said quietly, “Some work matters not because it’s seen, but because it keeps others from going wrong.”
I believe that if we’re not even willing to carefully confirm whether our predictions match reality, then no matter how impressive the technology looks, it’s only a fleeting illusion.