The GP said more with LLMs than people - not no interactions at all with people and not preferring machines to people. I don't think it is that hard to spend more time talking with LLMs than people if you work in tech and I don't think that takes away from one's life meaningfulness.
Yes, this is called alienation of the work place and it has been discussed since the 1800s. Maybe tech workers will realize that their employers are literal enemies of humanity rather than their friends.
Employers want to mechanize humans and they'll force it even if it makes everyone miserable for their entire, short, lives.
One thing that is useful to remember is that if you ask AI for help on using some app, it will likely refer to the mobile UI instead of the web UI. I find it annoying that sometimes there are features that are only available in the mobile UI.
No, it's not. The problem is all AI hallucinates. Therefore, it is guaranteed to be confidently wrong. Until the problem of hallucinations are solved, anyone using AI in a production environment is an idiot, which is, of course, my personal opinion. But it seems pretty cut and dry to me.
Your original post (and even after this comment I think) was vague in that AI can be used in a lot of different ways in 'production' - to generate code, to manage deployment / scripts, or as part of a feature that uses inference.
For example, if you're writing code with AI, you can still review it just like you would if a colleague wrote it. You can write tests (or have the AI do so) to prevent some hallucinations, too.
Yes, AIs that hallucinate can all be used in different ways. But they can still all hallucinate, so I fail to see how what you are saying mitigates the fundamental, as yet to be solved, problem of AI hallucinations.
edit to say, what is the point, after all, of artificial intelligence if it's not used to make decisions? That's what it does. But ALL AI HALLUCINATES. Therefore, it's unreliable.
I find it great for nutrition and cooking. I used AI to build a food tracker that works at the micronutrient level (LLMs built the code but are mostly not used in the app itself) but many of my prompts are helping me to learn nutrition in general.
I also use it to help me learn to cook more/better so I ask it questions about the how / why and have made a database of recipes that I tweak based on interests / abilities.
A neat thing is you can always ask AI - what can I do to eat or cook better? Then you do it and keep repeating.
Treat context like git shas. Yes, there is a specific order within a 'branch' but you should be able to do the equivalent of cherry-picking and rebasing it
(Remember hearing about this a long time ago (from some searching I think it was in 1999 via Slashdot) and verified some instance of it still exists/works.)
213.136.8.188 appears to not respond to telnet from any ISP I attempt to connect to it on, I wonder if its just not bound to port 23 on IPv4 or the ISP is filtering port 23. IPv6 works fine to connect.
To focus on Excel / Google Sheets itself, AI makes it a lot more usable in that you can describe what you want and it can generate formulas for you. I have a running spreadsheet that I had to manually manipulate because I didn't know how to automate some parts and a few minutes with an LLM fixed it for me.
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