Maybe instead of screaming you can take this as a chance to level up your engineering.
Good engineers don't treat approach as A == B or even A like B, when extremely integral parts of their applications differ.
Zero-shot isn't just "more convenient", in a low data regime: it's the only workable solution, and 100x so if your plan involves the acornym "BERT" (because even the largest of those models has the world knowledge of a fart to draw priors from)
Better ergonomics while being faster and cheaper as the existing things really is enough to justify callling what you've done a new thing, in a world of finite resources and time. It's actually making me scream how many people don't get that.
[−]howunfortunate · 2026-10-11 Sun 01:46 UTC ·
link
> in a low data regime: it's the only workable solution
Low data regimes no longer exist in the age of LLMs, one can trivially generate a training and eval set and distill a good classifier on any domain within a day.
But I do acknowledge zero-shot is more convenient. Personally I don't think Jev has any moat so I won't bother with their model specifically, but yes I do anticipate using this type of thing more in the future.
I'm going to crash out at the stupidity and earth-shattering banality of that first paragraph if I try to respond faithfully, so I won't and agree to disagree.
[−]howunfortunate · 2026-10-11 Sun 04:35 UTC ·
link
I don't think you actually know what the word 'banal' means, which is quite amusing given your condescension.
Good engineers don't treat approach as A == B or even A like B, when extremely integral parts of their applications differ.
Zero-shot isn't just "more convenient", in a low data regime: it's the only workable solution, and 100x so if your plan involves the acornym "BERT" (because even the largest of those models has the world knowledge of a fart to draw priors from)
Better ergonomics while being faster and cheaper as the existing things really is enough to justify callling what you've done a new thing, in a world of finite resources and time. It's actually making me scream how many people don't get that.
Low data regimes no longer exist in the age of LLMs, one can trivially generate a training and eval set and distill a good classifier on any domain within a day.
But I do acknowledge zero-shot is more convenient. Personally I don't think Jev has any moat so I won't bother with their model specifically, but yes I do anticipate using this type of thing more in the future.