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181 points thunderbong | 2 comments | | HN request time: 0.411s | source
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numpad0 ◴[] No.45083302[source]
I don't feel good doing it, but is anyone else feeling not capitalizing text, maintaining a slightly abrasive attitude, and consciously stealing credits, yield better results from coding agents? e.g. "i want xxx implemented, can you do", "ok you do" than "I'm wondering if..." etc.
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SV_BubbleTime ◴[] No.45083401[source]
There is so much subjective placebo with “prompt engineering” that anyone pushing any one thing like this just shows me they haven’t used it enough yet. No offense, just seeing it everywhere.

Better results if you… tip the AI, offer it physical touch, you need to say the words “go slow and take a deep breath first”…

It’s a subjective system without control testing. Humans are definitely going to apply religion, dogma, and ritual to it.

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1. diggan ◴[] No.45083616[source]
> Better results if you… tip the AI, offer it physical touch, you need to say the words “go slow and take a deep breath first”…

I'm not saying I've proven it or anything, but it doesn't sound far-fetched that a thing that generates new text based on previous text, would be affected by the previous text, even minor details like using ALL CAPS or just lowercase, since those are different tokens for the LLM.

I've noticed the same thing with what exact words you use. State a problem as a lay/random person, using none of the domain words for things, and you get a worse response compared to if you used industry jargon. It kind of makes sense to me considering how they work internally, but happy to be proven otherwise if you're sitting on evidence either way :)

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2. SV_BubbleTime ◴[] No.45084573[source]
We all agree that prompts are affected by tokens.

The issue is that you can’t know if you are positively or negatively effecting because there is no real control.

And the effect could switch between prompts.