Description generators for TTRPGs, as you will read through them afterwards anyway and correct when necessary.

Generating lists of ideas. For creative writing, getting a bunch of ideas you can pick and choose from that fit the narrative you want.

A search engine like Perplexity.ai which after searching summarizes the web page and adds a link to the page next to it. If the summary seems promising, you go to the real page to verify the actual information.

Simple code like HTML pages and boilerplate code that you will still review afterwards anyway.

You mean things you had to do anyway even if you didn't use LLMs?

So? That doesn't mean they are supposed to be used like that.

Show me any marketing that isn't full of lies.

Have you tried insulting the AI in the system prompt (as well as other tunes to the system prompt)?

I'm not joking, it really works

For example:

Instead of "You are an intelligent coding assistant..."

"You are an absolute fucking idiot who can barely code..."

people like you misrepresenting LLMs as mere statistical word generators without intelligence.

You've bought-in to the hype. I won't try to argue with you because you aren't cognizent of reality.

We have created the overconfident intern in digital form.

You’re not wrong, but often I’m just trying to do something I’ve done a thousand times before and I already know the pitfalls. Also, I’m sure I’ve copied code from stackoverflow before.

Hey I went there

You're projecting. Every accusation is a confession.

“You are an absolute fucking idiot who can barely code…”

Honestly, that's what you have to do. It's the only way I can get through using Claude.ai. I treat it like it's an absolute moron, I insult it, I "yell" at it, I threaten it and guess what? the solutions have gotten better. not great but a hell of a lot better than what they used to be. It really works. it forces it to really think through the problem, research solutions, cite sources, etc. I have even told it i'll cancel my subscription to it if it gets it wrong.

no more "do this and this and then this but do this first and then do this" after calling it a "fucking moron" and what have you it will provide an answer and just say "done."

This guy is the moral lesson at the start of the apocalypse movie

This is the same kind of short-sighted dismissal I see a lot in the religion vs science argument. When they hinge their pro-religion stance on the things science can’t explain, they’re defending an ever diminishing territory as science grows to explain more things. It’s a stupid strategy with an expiration date on your position.

All of the anti-AI positions, that hinge on the low quality or reliability of the output, are defending an increasingly diminished stance as the AI’s are further refined. And I simply don’t believe that the majority of the people making this argument actually care about the quality of the output. Even when it gets to the point of producing better output than humans across the board, these folks are still going to oppose it regardless. Why not just openly oppose it in general, instead of pinning your position to an argument that grows increasingly irrelevant by the day?

DeepSeek exposed the same issue with the anti-AI people dedicated to the environmental argument. We were shown proof that there’s significant progress in the development of efficient models, and it still didn’t change any of their minds. Because most of them don’t actually care about the environmental impacts. It’s just an anti-AI talking point that resonated with them.

The more baseless these anti-AI stances get, the more it seems to me that it’s a lot of people afraid of change and afraid of the fundamental economic shifts this will require, but they’re embarrassed or unable to articulate that stance. And it doesn’t help that the luddites haven’t been able to predict a single development. Just constantly flailing to craft a new argument to criticize the current models and tech. People are learning not to take these folks seriously.

I frequently find myself prompting it: "now show me the whole program with all the errors corrected." Sometimes I have to ask that two or three times, different ways, before it coughs up the next iteration ready to copy-paste-test. Most times when it gives errors I'll just write "address: " and copy-paste the error message in - frequently the text of the AI response will apologize, less frequently it will actually fix the error.

He's developing a toxic relationship with his AI agent. I don't think it's the best way to get what you want (demonstrating how to be abusive to the AI), but maybe it's the only method he is capable of getting results with.

Maybe the marketers should be a bit more picky about what they slap "AI" on and maybe decision makers should be a little less eager to follow whatever Better Auto complete spits out, but maybe that's just me and we really should be pretending that all these algorithms really have made humans obsolete and generating convincing language is better than correspondence with reality.

I’m not sure the anti-AI marketing stance is any more solid of a position. Though it’s probably easier to defend, since it’s so vague and not based on anything measurable.

Calling AI measurable is somewhat unfounded. Between not having a coherent, agreed-upon definition of what does and does not constitute an AI (we are, after all, discussing LLMs as though they were AGI), and the difficulty that exists in discussing the qualifications of human intelligence, saying that a given metric covers how well a thing is an AI isn't really founded on anything but preference. We could, for example, say that mathematical ability is indicative of intelligence, but claiming FLOPS is a proxy for intelligence falls rather flat. We can measure things about the various algorithms, but that's an awful long ways off from talking about AI itself (unless we've bought into the marketing hype).

So you’re saying the article’s measurements about AI agents being wrong 70% of the time is made up? Or is AI performance only measurable when the results help anti-AI narratives?

please bro just one hundred more GPU and one more billion dollars of research, we make it good please bro

It really depends on the context. Sometimes there are domains which require solving problems in NP, but where it turns out that most of these problems are actually not hard to solve by hand with a bit of tinkering. SAT solvers might completely fail, but humans can do it. Often it turns out that this means there's a better algorithm that can exploit commanalities in the data. But a brute force approach might just be to give it to an LLM and then verify its answer. Verifying NP problems is easy.

(This is speculation.)