They may well be a good team to throw money behind if you are hoping to bet on a new AI lab.
They may well be a good team to throw money behind if you are hoping to bet on a new AI lab.
Not them per se, but doomers.ai [0] which is a uh... "launch virality agency".
So less that Typesafe has a strong marketing muscle, and more that they paid at least $100K [1] for "organic" buzz.
I read the attached links and it just looks like a marketing agency?
but in this case, this is product extremely boosted for super viral marketing, and this is the first time i’ve read about this boost since hearing of the product whereas everybody only really talks of its substance. feels like a magician kept a trick going for a very long time, people forgot they were watching a magic show, then the curtains come down and they reveal the deceit after (i’m being slightly melodramatic)
We've yet to see whether this is true, or is it just manufactured demand. There are dozens of Jev demos, but pretty much all of them are either cool but useless, or simply fake (i.e. harness doing 99% of the work).
its clear they own the mindshare around this type of primitive which is a massive premium
You can create a company with 2B shares and sell one share to your friend for $1000. Lo and behold, you own $2 trillion dollar company, leaving Elon behind.
Multiplying out revenue from the peak of their mini hype cycle while a dozen well financed competitors target them directly seems extremely optimistic.
If they weren't lying about $100M ARR, they had to be at 6.5T/day for a week to hit that number.
They also claimed they were at 1T/day just couple weeks ago. That's $15M ARR.
85% drop in just a couple of weeks?
It’s not to be unexpected for a new product and startup, but they lack SOC 2 certification, and the other things enterprises look for on information security.
I’d be surprised if many procurement divisions are approving typesafe AI, and I fear by the time they achieve it, existing vendors would’ve catched up.
But economics of Jev enable classifying high volume things. And I've tried all the open-weight Qwen based decision models on my Spark and none of them came closer to quality and suck at batch inference so they are doing something custom.
If anyone else came up with the same concept on a Reddit thread (they have) it no-one would care without those characteristics even if you are "first".
Rebranding, execution, marketing, ex-<big_name_company> and mostly importantly, hype is what gets the investors scrambling into throwing money at you.
https://benchmarkheaven.com/jev-models
According to this benchmark, Jev is currently trailing Quyet-1.0-Large and a few other hastily put-together LLM-based decision API-like setups.
They can be both great and over-valued at the same time.
I have no faith in the technique if it cannot do the basics (i.e. not real probabilities, the confidence for coin flip outcomes)
tried it a couple of days ago here: https://jevplayground.com
the "not real probability" disclaimer only appears after you get a result