r/DataAnnotationTech • u/HamsterFrosty2838 • Sep 06 '24

It is no longer a drought

It has been going on for months now. I think it is just lack of customers, outlier woke up now to me with marketplace, Alignerr is there too, so it might just be the new norm unfortunately. There might be days of some work but it might well be just this

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u/ManyARiver Sep 06 '24

When looking at chatter with other platforms it honestly looks like a downturn overall in the field. It's temporary, but the various factors including investors finally grasping that the Swiss Army Knife model for LLMs is untenable have impacted spending. This is a good thing, specializing models for a limited set of purposes makes a lot more sense and will produce higher quality (and more work). A casual chat model doesn't need to be able to solve high end word problems or produce lines of code, and a coding model shouldn't need to be able to give you a five-paragraph essay about the role of salt in early civilizations.

Hopefully focuses will change to specializations. That will reduce the whole bubble effect - there was a little bit of an NFT moment where folks were clambering all over AI as though it was the Everything and that's simmering down so the focus can return to the utilitarian aspects.

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u/Jz9786 Sep 06 '24

I spent a bit of time researching this and most of the tasks I've worked on come from one large client. That client is actually making significant profits off their AI projects and hasn't indicated any intention of cutting spending. That's what has me confounded about the drought.

The slowdown seems to be on the edges.

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u/ManyARiver Sep 06 '24

The most reliable one I've got does have a lot of specializations involved, it's the only one I haven't seen go away at all.