Piracy: ꜱᴀɪʟ ᴛʜᴇ ʜɪɢʜ ꜱᴇᴀꜱ

What really strikes me here is that your perspective on this seems to be so disconnected from the experience i have gotten working with AI, which is a power-tool to drastic enhance your capabilities in advanced cognitive tasks.

Since ChatGPT last year i have learned:

• Advanced power shell and basic python (the first is more useful for my job)

In just the last 3 weeks (when i got GPT4) i learned

• How to work a Linux command-terminal, something i have been struggling with for 2+ years

• Set up and work with both Arch and Debian based systems

• How to work docker trough cli and how to create heavy customization on many of the servers catered to the needs of my home-network. This includes some advanced reprogramming of how some of my smart devices behave, something i have wanted to do for over 3 years.

I have also gotten many compliments at work for my emerging ability to quickly create scripts to automate tedious tasks, giving us more time to think about and improve our workflow rather then always trying to finish a never ending backlog.

This thing has supercharged my life as a computer enthusiast. I never had a teacher that was capable of teaching me in such a customized manner. On my own tempo, in a requested structure and regardless of how stupid my question might be.

But you are correct that there are clear pitfalls when working with AI. I myself have used it enough that i believe i know how to use them, some notes:

• The user is always the brain behind the creative process Like you said "It has no more understanding of the text it shits out than a toddler who has learned to swear" The uploader of the post you linked also stated it himself "it is a tool" not a genie that does all the work for you.

• AI Enhances your knowledge. Ten times zero.... Setting up Linux servers on my home network is something i have been trying and failing to do for a while now. (Mostly because i am entirely self learned) but i understood it well enough to know if ChatGPT output is realistic at all. I am always directing it to do what i planned to do, and i never copy its work without first understanding what it actually does.

• Know the limitations. There are some topics that current AI is much better at then others, in my experience that's coding and computers. To plan a holiday trip? I tried, its really not that good.

• Break it down, use what your learned, Build something better:

Handwrite an email -> have ChatGPT reason what it thinks i am trying to say -> Have Chatgpt rewrite it to better reflect what i am trying to say -> Read and understand what it did -> Discard previous emails and write a final one.

For someone who pre ChatGPT was horrible at writing emails, My boss has now started asking me to craft standardized emails to be send in bulk.

Now to address the original post which really just a low quality cut and dry standard reply from ChatGPT. I am gonna go on a limb and say the comment from OP that it is just a tool is probably more a recent realization. The first week of using these models they do indeed feel a bit like magic know it all boxes, but just like Altman stated this feeling fades quickly. You realize if you actually want to create something of real quality (swindlers will swindle) you are going to have to remain in charge, understand what parts of your tools you can and cant rely on.

I believe there is only one way to learn this and that is for people to use and learn this technology for themselves. I hope i am wrong for the next line but i extrapolate that AI is very much a case of "Get in the motorboat now, or peddle behind forever" because things are going to start to move really fast.

Do you think humans don't just "churn out text" at a basic level? Do you think humans don't make mistakes or don't confabulate? The confusion is not that we think too lowly of LLMs rather than that we think we are very special as humans. LLMs like GPT-4 have "sparks of AGI" in them, they are not just stochastic parrots. There are several academic papers that prove LLMs uderstand meaning. GPT-4, the full model, not the crippled chat variant for consumers, demonstrated superhuman coding abilities when researchers probed it's abilities. It passed Google and Amazon coding interviews with 100 out of 100 score and finished the 2 hour assignment in 3minutes surpassing all human candidates. And it took it so long (3m) only because a human had to paste in the tasks.