Is there a bottleneck which would hinder putting this architecture in charge of a humanoid? Would it be able to operate continuously, for example in conjunction with an LLM for long-term reasoning? Doom seemingly works extremely well.
Introducing System One Models and Jev
191–200 of 513 posts
Re: Introducing System One Models and Jev
#192The Doom demo looks impressive but was it a fine-tuned model? It's the difference between a cool demo and revolutionary tech.
Re: Introducing System One Models and Jev
#193This is potentially huge and can crash the Big Two's stock prices or block their IPOs completely.
Re: Introducing System One Models and Jev
#194First, congrats to the team on launching something genuinely interesting and new. Seems like a more accurate title would be "Jev: Trading general purpose generation for fast typed inference" or something like that. This is interesting, but the speed comparison seems misleading? A generative model that can output code in a Turing-complete language can do anything a computer can do. Jev can only generate structured out…
> Jev can only generate structured output, right? This is probably super useful for classification/routing/scoring, My first thought was that it would be ideal for robotics? As in control of limbs, general planning, route finding, etc.
Um, Isn't SELF DRIVING the elephant in the room?
Re: Introducing System One Models and Jev
#195Earlier quoted context omitted.
When they say "can't hallucinate" they mean they produce a confidence value for every result, so you could see for example it has 0.1 confidence, and you can disregard the result - that'd be different from hallucinating where it believes it's correct
Technically speaking when you send the prefix “The capital of France is “ into an LLM it will also produce probabilities across its whole vocabulary.
The probability values don’t really represent confidence in modern LLMs though, especially after RLHF and RLVR.
System One says they use RLCD, Reinforcement Learning for Calibrated Decisions, which presumably has accurate probabilities as an explicit optimisation goal.
Re: Introducing System One Models and Jev
#196The Doom demo looks impressive but was it a fine-tuned model? It's the difference between a cool demo and revolutionary tech.
Shouldn't self-driving be a piece of cake if it works this well for Doom? Or what am I missing?
Re: Introducing System One Models and Jev
#197If it work as good as they say it does, confidence score + really fast response when you want very fast response, basically..
To me it is a crime against humanity to not open source it.
Just get the money from cloud inference and cloud agentic sessions or whatever but open source it.
This tech, a good harness, a good model provider, and you have basically a AGI building machine.
Re: Introducing System One Models and Jev
#198Earlier quoted context omitted.
When they say "can't hallucinate" they mean they produce a confidence value for every result, so you could see for example it has 0.1 confidence, and you can disregard the result - that'd be different from hallucinating where it believes it's correct
Yeah but what stops it from producing confidently incorrect outputs...
Nothing, but imagine using LLMs for a classification task
People out there are so resigned to the models being unreliable that they are really doing things like hallucinating deliberately, and then matching the hallucinations to embeddings -
https://softwaredoug.com/blog/2026/08/10/hypothetical-classi...
You could do that or you could just... use a model that will never produce unreliable outputs in the first place.
Re: Introducing System One Models and Jev
#199After much fumbling around with prompts and evals, this is exactly how I am using LLMs in production, to narrowly make choices and return structured data. Any deterministic work gets pulled out of the prompt and my goal is to narrow the model output to be as clearly defined and as minimal as possible. Jev's focus on structured I/O and confidence scores are game changing. If this does at all what it claims, I think th…
we hope so! the bigger hope is to not just eat LLM market share, but to allow for people to use AI much more in the inner loop of software
I'm sure you've thought of self-driving. How does the model work in that space?
Re: Introducing System One Models and Jev
#200Earlier quoted context omitted.
What was misleading was the original title: "Jev: New frontier model 40-400x cheaper and 20-200x faster" I'm not the gatekeeper of who gets to call themselves a frontier model, but I don't think most people would count Jev in that group. It sounds false. If their specific claims hold up, then it would make more sense to say something like: "Advanced the speed/cost frontier for structured decisions"
I dunno, I would consider Waymo and Tesla to have frontier models. I think AlphaFold and related are also frontier models. Being an LLM does not seem like the qualifier for frontier.
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