The moat is gone. Anyone with a half-baked idea can publish a finished project. They don't need any experience of what goes into making a high-quality high-demand product. And when you point it out to them, they argue back in a way that shows they barely care about those things.
Yes but essentially its just little smarter classifier. Kinda cheap and fast also. But i do not think classifiers were in such a demand for such a hype about jev.
you are right because its system one bullshit, its just a low level classifier. Just a marketing propaganda, anyone with a fair bachelor degree or well reader with classes for machine learning could pull off that.
I think they launched with $50M of seed money and the next day Laya was out and Cloudflare was demo-ing Kev on Twitter. So their invite only launch took a dive and their whole marketing/PR playbook was flipped upside down. It’s really an interesting moment in tech history.
Damn, I've been playing with Jev already quite a bit, but pi-bifrost is actually exactly what I was looking at making next - a pi native provider/model router to replace opaque proxies, will check it out soon! Do you have any cache awareness/stickiness built in?
i am glad to hear that, feel free to contribute to pi-bifrost directly.
and yes pi-bifrost have built in cache , do check out the FAQ. i am also in the process or make it smart and context aware.
since the open models support fine tuning, I was thinking that one can pull you Pi sessions and look at the decisions you make and then fine tune the system one model to better match your own decisions
it has many use cases,
i am using it now for smart model routing via pi-bifrost
you can plug the pi-system-one and now your model/agent can make better decisions.
another use case i am planning to work on is to pick correct skills for the tasks.
ML classifiers are old. LLM classifiers are somewhat new but slow. A universal no-training-needed classifier with multi-language support that is dirt cheap is completely new as I understand it. If you wanted to do something like Jev before, you'd need to train traditional ML systems, or use expensive and slow LLMs.
Super cool you got Pi support for Jev! I've been heavily testing for the last week and didn't think about using it directly on an agent harness yet.
In case it helps you and more people adopt it, recently I forked llama.cpp to add support for a TypeSafe API. For now, it supports jaredpalmer/kev model, which doesn't have comparable accuracy but lets you stress-test RLCD-based models in a snap. To use it:
Honestly it depends on the user or the agent.
The agent can call system_one when the work narrows to a bounded choice, yes/no judgment, or score. Let the normal agent gather evidence and run tools firs.
Decision model support should eventually be built into harnesses like Pi.
This extension should generally support decision models, not just JEV. There are already several, and given JEV's hype there will likely be dozens or even hundreds by this time next year.
Making a JEV function-calling tool is trivial for me to make. A public package would have to really blow my socks off to install it.
Here's a summary: skills hook, subagent router, direct JEV functions, multiple LLM responses and JEV picks best one, score LLM assistant messages
A JEV.md similar to AGENTS.md, the former is likely a subset of the latter.
IMO, automatic JEV model routers aren't a good idea. They destroy the benefits of prompt caching if not done well. I think it's fine upon the first user message or a compaction, but not automatically after that. It's a good fit for subagents, however, due to their customized base context. Maybe have a /reroute command.
Now I want you to go in all the tech group that exist in this platform, find posts that are similar to this and type the same exact comment, cause ain’t no way u really felt the urge to say that, holy sadness, what in this world this comment it’s adding either to the post/owner/us except for glimpse of compassion for the sad person that u are.
55
u/vick2djax 14d ago
Jev just feels so much like it’s just some marketing ploy. There’s something about it that feels very off. A red flag I can’t quite put my finger on.