It's my dream that AI takes over middle management and bureaucracy as a whole, and we get rid of all the societal evils that come from corrupt or incompetent management in both - governments and companies. Imagine if every single working person had zero ambiguity in their jobs and complete clarity on when they have to work, and on what. The world would be so much happier!

Automatically respond to scam calls and emails, keeping scammers overwhelmed with useless work.

Tax it. If corporations use it to replace employees, they should at least also have to contribute to the improvement of society.

Currently the obvious use is to help people express their thoughts in words. It's helped me a lot writing out resumes and cover letters. This can be extended to languages other than our main/first one.

It's also great to narrow down research on a personal scale in areas where if you have no expertise it would be very hard for you to figure out what you are looking for. I've used it to ID plants, insects and diseases successfully. I didn't get a precise result from ChatGPT, but that's not what I asked. I just requested pointers in the right direction. It delivered.

The next obvious implementation is with software interface. I've already used it (unsuccessfully) to work with Unreal Engine and other 3d software. I got half baked results because the models were not trained specifically for the software in question. But if they were, it would be very easy to just ask the software how to do something instead of searching everywhere for potential answers. That doesn't sound too far fetched and I heard it's a feature that will become standard.

Labour-less advancement. Human pass down centuries of advancement in languages.

• Version 1: Rough input labour steps automation, in restrictive detail.
• Version 2: Multiple labour steps input compiled, in restrictive choice. (Less supervise command)
• Version 3: Task automation. (Communicate wish, whole labour compilations taken care; no production supervise input, only output demands)

The automation gone from "multiple coffee gadgets" to "1 standard coffee button" to "a warm coffee of less sugar request". (Now, where are human's place in this picture? A balloon human such in Wall-E movie?)

I mostly see psychological benefits:

• Building confidence in writing and (when roleplaying) in interacting with other people. LLMs dont shame, or get needlessly hostile. And since they follow your own style it can feel like talking to a friend.
• related to that, the ability to help in processing traumatic events through writing about them.

For me personally, interacting with AI has helped me conquer some fears and shame that I buried long ago.

I see endless possibilities, but it's questionable if any of them are realistic before we overcome capitalism.

But one idea I really like is AI helping with the implementation of sortition for democratic decision-making in government.

Recently, the concept got some attention due to climate protesters demanding it, which I think is nice. So while I don't want to discuss the concept and where it should be applied, here's what (future) AIs could do:

1. Enhanced Random Selection Process: AI can ensure a representative selection from the population for sortition by analyzing demographic data and employing stratified sampling algorithms.

2. Personalized Education and Communication: Once participants are selected, AI could offer personalized learning paths to prepare them for their role, and adapt communication to suit each participant's unique circumstances.

3. Facilitating Communication and Mediation: AI can manage communication among the selected group by setting up secure environments for discussion, and serving as an impartial mediator to promote fairness and respectfulness during deliberations.

4. Information Provision, Fact-Checking, and Bias Detection: AI can provide relevant, unbiased information on complex topics, perform real-time fact-checking, and monitor discussions for potential biases.

5. Emotion and Sentiment Analysis: As discussions take place, AI could detect the emotional states and sentiments of participants, ensuring decisions are not overly influenced by emotional reactions.

6. Advanced Simulation and Scenario Exploration: AI could create sophisticated simulations to help participants understand potential outcomes of the policies they are considering.

7. Public Accountability and Feedback Collection: After decisions are made, AI can ensure transparency in decision-making by tracking and reporting the progress of the deliberations, and collecting public feedback on the decisions made.

I should probably add that this list was made with the help of GPT 😅 so a more direct answer to your question might be: AI can help humans lay out their ideas and foster discussions.

We could outsource all the bureaucracy to machines. We could have entire data centres applying to things, sending that to another data centre, it get's denied re-done and so on. Doing contracts, billing people, paying bills by billing yet other people.

Humankind would just need to supply power and meanwhile i could go hiking in the mountains and have every thursday and friday off, because there is no paperwork around anymore.

LLM's are worthless and I'm skeptical they'll ever be otherwise. I think for a program that works roughly like ChatGPT from a user's perspective to ever achieve usefulness would require a whole different algorithm.

I use it to summarize search results on a certain topic, like what packages hold this or that library, stuff like that... or as a more comprehensive man page generator.

That's a great question! It's something I think about a lot. This is probably gonna sound sarcastic, but I mean it genuinely: Have you asked ChatGPT (or any other LLM) that question? I'd be curious to hear what it might have to say. Of course, its first few answers are probably gonna be just generic, useless stuff, so you'll have to really drill down into details to find something useful. But you might be able to find some good ideas in there.

Here are two things that immediately came to mind:

• Democratization of knowledge and expertise. Think of the many people that now have access to (e.g.) a virtual doctor just because they have an internet connection. As with everything I'm going to say, this comes with the big caveat that nobody should trust LLMs unquestioningly and that they definitely hallucinate and confabulate frequently. Still, though, they can potentially provide quick diagnoses and relevant, immediate, life-saving information in situations where it's difficult or impossible to get an appointment with a doctor.

• Handling information problems. I heard someone say recently that because LLMs are likely to be used for spam, ads, propaganda, and other kinds of information distortions and abuses, LLMs will also be the only systems capable of combating those things. For example, if people start using LLMs to write spam emails, then LLMs will almost certainly have to become part of the spam detection process. But even in cases where information isn't being used maliciously, we still struggle with information overload. LLMs are already being used to sift through (e.g.) the daily news, pick out the top few most important articles, and summarize them for readers. Finding a signal among the noise is actually quite important for all parts of life, so augmenting our ability to do that could be very useful.

I suspect those answers might be broader and larger-scale than what you were asking for. If so, I apologize!

Side note, it's pretty early days but we've just setup an !aistuff@lemdro.id community on Lemdro.id (where /r/android calls its home in the Fediverse).

Eugenics

For now, I think LLMs are not relevant in its current form, other than helping with writing out ideas.

I think in the future there's an LLM that uses Google searches to infer specific information. Basically the assistant that every tech company on this planet pretended to have at so e point, but now it actually exists.

Other than that, probably not much. Maybe translation, maybe predicting the truthfulness of information, maybe converting data or writing code, but all these things require a variety of different specialized AIs that are designed specifically for these use cases. I don't see that being an actually commonly used thing until 2030. Maybe we'll have some of these things by 2025, but I have a feeling it will be ok, and not good enough to really substitute the human resources.

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