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> I don't think it's helped me do anything I couldn't do I am seeing a pattern here. It appears that AI isn't for everyone. Not everyone's personality may be a

> I don't think it's helped me do anything I couldn't do I am seeing a pattern here. It appears that AI isn't for everyone. Not everyone's personality may be a good fit for using AI. Just like not everybody is a good candidate for being a software dev, or police officer etc. I used to think that it is a tool. Like a car is. Everybody would want one. But that appears not be the case. For me, I used AI every day as a tool, for work and and home tasks. It is a massive help for me.

noobly 1y ago
It’s weird how divisive it is. For me it’s completely dependent on the quality of the output. Lately, it’s been more of a hinderance.
majormajor 1y ago
What home tasks do you use it for? It's hard for me to imagine many. It's not doing the dishes or watering the plants. If I wanted to rearrange the room I could have it mock up some images, I guess...
- joemazerino 1y ago
  Figuring out which fertilizer, how often to water and sun placement for the plants is a useful AI request.
  - ht_th 1y ago
    Is it? It'll take a while for fertilizer and sun placement to take visually effect, and there's risk that short term effects aren't indicative of long term effects. How can you verify the recommendations are sound, valid, safe, complete, etc., without trying them out? And trying out unsound, invalid, unsafe, incomplete, etc., recommendations might result in dead plants in a couple of weeks.
    - lithocarpus 1y ago
      Eh, for something like this the cost of it being wrong might be pretty small, but I'd bet odds are good that its recommendations will be better than whatever I might randomly come up with without doing any research. And I don't have the time to do the research on normal old google where it's really hard to find exactly what I want. I've found it immensely helpful for giving real world recommendations about things like this, that I know how to find on my own but don't have the time to do all the reading and synthesizing.
    - Dilettante_ 1y ago
      I personally use chatgpt for initial discovery on these sorts of problems, maybe ask a probing question or two and then go back to traditional search engines to get a very rough second opinion(which might also lead to another round of questions). By the end of that process I'll either have seen that the llm is not helpful for that particular problem, or have an answer that I'm "reasonably confident" is "good enough" to use for something medium to low risk like potentially killing a plant. And I got there within 10-20 minutes, half of that being me just reading the 'bots summary.
    - deleted 1y ago
      [deleted]
    - matwood 1y ago
      > How can you verify the recommendations are sound, valid, safe, complete, etc., without trying them out? Such an odd complaint about LLMs. Did people just blindly trust Google searches before hand? If it's something important, you verify it the same way you did anything else. Check the sources and use more than a single query. I have found the various LLMs to very useful in these cases, especially when I'm coming at something brand new and have no idea what to even search for.
CuriouslyC 1y ago
That's an interesting perspective, I don't think it's an innate thing though, I think it's a mindset issue. Humans are adaptable, but we're even more stubborn.

noobly 1y ago

It’s weird how divisive it is. For me it’s completely dependent on the quality of the output. Lately, it’s been more of a hinderance.

majormajor 1y ago

What home tasks do you use it for? It's hard for me to imagine many. It's not doing the dishes or watering the plants. If I wanted to rearrange the room I could have it mock up some images, I guess...

joemazerino 1y ago
Figuring out which fertilizer, how often to water and sun placement for the plants is a useful AI request.
- ht_th 1y ago
  Is it? It'll take a while for fertilizer and sun placement to take visually effect, and there's risk that short term effects aren't indicative of long term effects. How can you verify the recommendations are sound, valid, safe, complete, etc., without trying them out? And trying out unsound, invalid, unsafe, incomplete, etc., recommendations might result in dead plants in a couple of weeks.
  - lithocarpus 1y ago
    Eh, for something like this the cost of it being wrong might be pretty small, but I'd bet odds are good that its recommendations will be better than whatever I might randomly come up with without doing any research. And I don't have the time to do the research on normal old google where it's really hard to find exactly what I want. I've found it immensely helpful for giving real world recommendations about things like this, that I know how to find on my own but don't have the time to do all the reading and synthesizing.
  - Dilettante_ 1y ago
    I personally use chatgpt for initial discovery on these sorts of problems, maybe ask a probing question or two and then go back to traditional search engines to get a very rough second opinion(which might also lead to another round of questions). By the end of that process I'll either have seen that the llm is not helpful for that particular problem, or have an answer that I'm "reasonably confident" is "good enough" to use for something medium to low risk like potentially killing a plant. And I got there within 10-20 minutes, half of that being me just reading the 'bots summary.
  - deleted 1y ago
    [deleted]
  - matwood 1y ago
    > How can you verify the recommendations are sound, valid, safe, complete, etc., without trying them out? Such an odd complaint about LLMs. Did people just blindly trust Google searches before hand? If it's something important, you verify it the same way you did anything else. Check the sources and use more than a single query. I have found the various LLMs to very useful in these cases, especially when I'm coming at something brand new and have no idea what to even search for.

CuriouslyC 1y ago

That's an interesting perspective, I don't think it's an innate thing though, I think it's a mindset issue. Humans are adaptable, but we're even more stubborn.