upvote
"Decision model" is just marketing jargon.

decision model = classifier

system one model = small non-reasoning LLM

noul = boolean

confidence = f(probabilities)

It's sad to see how gullible engineers are today.

reply
> how gullible ... today

that laya is even a thing is further evidence, people took that author at face value, the paper contents are incomplete and describe something that does not sound like Jev at all

this was the period of arxiv history that led to the new vouching system, laya author contributed to that imo

reply
My understanding is that Laya (or whatever it was called in 2025) was yet another fine-tuned classifier, not a general purpose one.

That said, Typesafe false marketing caused Laya to fit perfectly into pretty much every advantage that they are claiming: "system one decision model", cheap, fast, no hallucinations, structured, confidence output, parallel, calibrated. Their BS is their own demise.

I think Laya's author genuinely bought their BS and thinks he built the same thing. Unlike Typesafe, I don't think he's intentionally misleading people.

The only unique thing about Jev is that it's a general purpose classifier. Funny enough, they were so busy spreading marketing bullshit that they forgot to mention the only real thing that makes Jev unique.

reply
Laya author is spitting more BS than Typesafe, the (incomplete) papers are nothing like Jev, they use RAG and azure hosted services for calculating embeddings, with an orchestrator. Jev is just a model, Laya was put together after Jev, almost certainly based on what the author learned from Typesafe, and then backported "his" idea

I suspect most people only read the blog post, and thought it was great how a VC company "stole" an idea and was "outdone" by a rando... without actually checking the facts. Confirmational reading bias, we live in a post-truth world with dysfunction media ecosystem

reply
I think you're right about Laya (and confirmation bias).

But like you said, at the end of the day he's just a rando.

He's not asking for $40m, not saying "I made ChatGPT, but i hate it, so I built the next big thing". Not claiming to co-invent RLHF.

Laya is just noise. Jev's bullshit affects me today - I see people injecting it into the codebases where it has no place.

reply
> He's not asking for $40m

Just how to "make fkn $500k ARR fast?"

https://news.ycombinator.com/item?id=49674396

too much LI/Xitter influencer consumption

reply
That's really funny, nice find.

To be fair, he's just asking how to get customers. And the post is 2 days before Jev's launch date? I don't think he's trying to sell Laya there (though he probably will at this point).

reply
There's something to be gleaned from the sum of their output across GitHub, arxiv, reddit, and HN (didn't delve LI, I hear it's a hot mess)
reply
text classification is equivalente to decision. This is exactly the same thing Jev does.
reply
If it has four legs, a tail and barks why not call it a dog?
reply
Because this specific dog only barks in structured text
reply
This dog only barks when given biscuits
reply
It is not. In a benchmark with actual decisions - navigation, traffic, waypoints - laya does only slightly better than a small classifier.
reply
[dead]
reply
Jev does it more efficiently because it doesn't use an LLM https://typesafe.ai/blog/introducing-system-one-models-and-j...
reply
Their marketing language is misleading. They must still use some transformer language model backbone to encode the text input (BERT or decoder-only LLM). The biggest difference is the output, instead of auto-regressively generating tokens, they produce probabilities over a bounded set of decisions (more flexible classification).
reply
deleted
reply
Fair point, that example is basically classification. I'll change it to something that looks more like a real decision.
reply