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hellothere ,

I’d describe those products as being in the “heh, that’s neat” phase. At least, the good ones anyway. After a few hours you start the see the issues - like images with very weird fingers - and then you the illusion is broken.

For example, in work I’ve been playing around a lot with various LLMs to generate marketing copy for physical products. I’m being vague here for reasons I’m sure are obvious.

Across the first few hours it felt very impressive, it would pretty much instantly churn out descriptions in a variety of styles, even when the product information we provided was low quality.

The problem though, was that the copy it wrote was actually - if you sat down and read it - shit.

Now, the vast majority of marketing copy is also shit. The good stuff is excellent, rare as hens teeth, and incredibly expensive, but your generic boilerplate crap you see all over the Internet, that stuff, it could replicate perfectly. Even the lies.

If you want sales speak waffle, it’s 11/10 every time.

So we’re currently in a bit of a bind. Do we release a tool that creates boilerplate shit more easily, and will turn even the most inconsistent (and straight up conflicting or impossible) data in to fancy sounding text, and jump on the AI-powered bandwagon, or do we not, because what it creates isn’t actually any good?

Imo spitting out crap in a second or two isn’t a valuable improvement on where we were a few years ago, even if it is pretty neet.

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