Having spent a lot of time over the last months writing both refined, structured, and grammatically perfect prompts, as well as exact equivalents of the ones you quoted (modulo subject of the prompt), I have three observations:

1. I'm glad the second kind works too;

2. First kind is where I find my overall throughput to be literally constrained by my typing speed;

3. Most importantly: those prompts you quote aren't just "half-assed" like sibling comment states; they're different. The style of writing, and the typos, capture emotional valence. It's a signal.

Again, I too produce such prompts - including the exact same typos - when under pressure and irritated by the direction the model is taking.

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estearum 2 hours ago | parent [-]

Have you tried using Wispr or Willow (or any one of a thousand alternatives?)

A little odd at first but absolutely amazing for the purpose of piling context into an LLM.

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jstanley an hour ago | parent | next [-]

It's so bizarre to me that people want to do this.

Can't you type faster than you speak? Doesn't your speaking inhibit your thinking? Aren't you self-conscious talking out loud? How are our experiences so different?

	▲	estearum 41 minutes ago \| parent \| next [-]
		These are all interrelated points and the sibling comment is correct: it's a skill. The key thing with these voice systems is that you do not need to edit anything. You can literally just stream of consciousness into them, no editing, include the backtracking, the live-revisions, etc., and it will actually all produce vastly better context for the LLM than the written thing you took even 30 seconds to edit for clarity or brevity. I had a very similar disposition towards this idea just 6 months ago. I highly recommend trying it out. The key thing is that you do not need to edit. Just keep talking. Try it for a few weeks!
	▲	arcanemachiner an hour ago \| parent \| prev [-]
		My stream of barely-intelligible rambling comes out much faster than I can type, and it's not even close. It's a skill like any other. You start out stuttering and second-guessing yourself, but after a while, you get better at it. And the LLM smooths out the odd mistakes better than you might think.

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TeMPOraL 2 hours ago | parent | prev [-]

Voice dictation tools? Not really. Tried various dictation tools interacting on the phone, but the quality varies, and resulting prompts are very much not like I would write them.

My limiting factor is that 99% of the day I'm around people - either at work, or at home with wife and kids. There's almost no point during the day I could feel comfortable talking at an AI, and even if I stay up late, then talking risks waking the kids up.

Can't wait for some kind of subvocalization microphones to become a thing.

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estearum 38 minutes ago | parent | next [-]

I highly recommend getting a boom mic that you can keep right up against your mouth and literally whisper into. Take a few weeks just doing stream-of-consciousness prompting into it like this. Don't worry about editing or backtracking or revisions. It's really amazing how well the AI voice recognition → coding agent workflow works.

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elictronic 2 hours ago | parent | prev [-]

Get a noise machine for wife and kids bedrooms. I talk to friends late at night and my deep voice carries through walls. Works great.

I have zero desire to talk to an ai though, that was cool for about 20 minutes on my pentium 1 acer computer. Hasn’t been since. Old competent non paid Alexa was good for timers as well, the rest of the platforms a turd, nice timers though.

	▲	TeMPOraL an hour ago \| parent [-]
		> that was cool for about 20 minutes on my pentium 1 acer computer. Hasn’t been since. Oh back in the days, i.e. 20 years ago, I had a better voice control system than anything afforded by Alexa or Apple or others, using MS Speech API in its custom constrained grammar mode, plus some bootleg samples of Star Trek's computer voice + a sub-dollar microphone soldered to a long cable and hung on the side of the wardrobe. The trick that made it work? Microsoft Speech API actually let you train voice to your own text corpus. I'd prepare all combinations of commands I want to issue, print it out, and train it over a dozen short sessions in several locations of the room and at different ambient noise levels (from silent through various genres of music playing at various loudness). End result was more reliable and had better voice-mismatch rejection than any current system I've tried. Oh, and the real kicker? This all worked fully locally; this was before cloud was even a thing. Turns out you don't actually need cloud for reliable voice control. Nor that much processing power; PC I had then was relatively budget even for 2006.