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/Deslop

tahigichigi.substack.com

31–40 of 46 posts

Re: /Deslop

#31

You just need to use this list as a prompt and instruct the LLM to avoid this kind of slop. If you want to be serious about it, you can even use some of these slop detectors and iterate through a loop until the top three detectors rate your text as "very likely human."

there's a downloadable prompt at the bottom that'll kill any slop dead. Will replace with a Notion link to keep it updatable

Re: /Deslop

#33

There’s a really cool technique Andrew Ng nicknamed reflection, where you take the AI output and feed it back in, asking the model to look at it - reflect on it - in light of some other information. Getting the writing from your model then following up with “here’s what you wrote, here’re some samples of how I wrote, can you redo that to match?” makes its writing much less slop-y.

tone of voice match is similar but different. That's why I made toneofvoice.app

AI can copy 90% of your tone of voice but still use em dashes and corrective antithesis.

Ideally you'll have both /deslop and /soundlikeme (coming soon)

Re: /Deslop

#34
post #18

Just seems like the author could have said "write the damn thing yourself" and been done with it.

It will definitely help, but also some people, especially in marketing/sales, were writing like that before LLMs. So you should not only write the thing yourself, but also learn some good writing style.

This. Back in the day, the Cluetrain Manifesto said that corporate writing sounds "literally inhuman". Human beings don't talk the way corporations do. And people want human connection, not the impersonal touch of a corporation. So learn to write like a human being, not like a corporate drone.

Re: /Deslop

#35
post #4

Just don't use LLMs to generate text you want other humans to read. Think and then write. If it isn't worth your effort, it certainly isn't worth your audience's.

What is nice is that sometimes you will just write very badly what you want to say, like a scenario or badly written sentences, and just ask the LLM to reformulate that to be proper nicely written text. But in that case, there are big chances that the stylistic issues described in the article are present despite you having carefully crafted the content.

The best is when you use a speech to text app like Whispr Flow and just ramble to the AI about an idea or an experience, get your thoughts out and it returns a silhouette of an insight or article.

So when people say they never get a good output it's because they're trying to from

thought > article

instead of

thought > exploration > direction > structure > outline > article

Re: /Deslop

#39
post #16

Earlier quoted context omitted.

Believe me, I've tried. By the time i get the documentation to be the way I want it, I am no longer faster than if i had just written it myself, with a much more annoying process along the way. Models have a place (e.g. for fixing formatting or filling out say sample json returns), but for almost anything actually core content related I still find them lacking.

I guarantee if you give me your prompt and the output you got I can fix it and get you a 10x better output in less than 5 minutes. DM me on substack if you don't wanna post it here, I'm honestly happy to help wherever I can.

I won't share work related stuff for obvious reasons, but feel free to post an example of some LLM generated (technical) article or report of yours (I also doubt you would be able to understand the subtle differences i take issue with in LLM output in 5 minutes in the first place)

Re: /Deslop

#40
so... anyone who's not native english, reading all these overpuffed texts, is cooked? The nuances are most times lost on me

And even if the style is (or isn't) LLM'ish, it does not say/help if the (even-filtered) content makes sense / is correct or is BS

Style does matter, sure..

https://hbr.org/1982/05/what-do-you-mean-you-dont-like-my-st...

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