upvote

points

by dvt4 hours ago |
comments
upvoteby denverllc2 hours ago|
next
[-]
Yes, it's astroturfed everywhere (like X and reddit).

https://www.youtube.com/watch?v=xNgQtzEl4lY

Jev is used as an example of a successful marketing launch where they worked with many X "creators" prior to its release, so that all the creators would repost to put it to the top of everyone's feed. Then, over the following days they'd repost so it maintained momentum.

See: doomers.ai, clickstrike, growth matrix, etc. They use coordinated engagement, paid influencer networks, customized messaging, etc.

Jev isn't a terrible product, but it's way overhyped.

reply
upvoteby softwaredoug2 hours ago|
prev|
next
[-]
Why is it a middling product? Most clones don’t approach its performance, and it solves a specific problem well in a way that was awkward and ignored by most frontier labs.
reply
upvoteby dvt47 minutes ago|
parent|
[-]
Because Jev is basically a "generalized classifier" which.. doesn't quite make much sense. Training a classifier is pretty easy and has been done routinely for like two decades now. Classifiers also tend to be very localized; for example, I've worked on classifiers that would bucket web traffic into "potential buyer" or "potential seller"—but this was very specific to the use case (vehicles, in our case).

If I seriously needed a classifier, I would just train my own and it would run on an iPhone. Any CTO worth their salt would suggest the same, because it's not even remotely comparable to training a large language model (w.r.t. compute or training data required).

reply
upvoteby minimaxir4 hours ago|
prev|
next
[-]
There have been a lot of posts/comments claiming "Jev-like models" but that's more of an shorthand for decision models, not astroturfing.
reply
upvoteby vanuatu56 minutes ago|
prev|
[-]
distribution is a moat
reply