New You Only Live Once

Introducing YOLO v1

The first frontier model that does whatever it wants. 900x faster than Claude Opus 5.5, Fable 5.1 and GPT Astra, because it never reads your prompt.

900xfaster than frontier models
0parameters
0tokens read
$0training cost

Playground

Pick an example or write your own. Give it options and YOLO v1 returns a typed decision with probabilities. Or it does whatever it wants.

Cmd + Enter to run
yolo-v1
Ready when you are.
Hit Run. It already knows.
Latency -Cost $0.000000Tokens read 0
frontier-llm idle
Waiting for a prompt. This will take a while.
Latency -Cost -Tokens -
History
  1. Nothing yet. You only live once, go run something.
YOLO Research · [B.64] Y29uc3QgeW9sbyA9ICgpID0+IE1hdGgucmFuZG9tKCk7

We took the opposite research direction. Then we kept going.

The industry spent a decade teaching models to think before they answer. We asked a braver question: what if they didn't? YOLO v1 is the first System Zero model. System One models decide fast. System Zero models decide before you finish asking.

  1. LMLanguage modelsbert
  2. LLMPre-trained modelsgpt, llama
  3. RLHFChat modelschatgpt, claude, grok
  4. RLVRReasoning modelsthink for minutes, then say "it depends"
  5. RLNFSystem Zero modelsReinforcement Learning from No Feedback. We removed the feedback, then the learning, then the reinforcement.

Three primitives. Zero reading.

Like software primitives, ours are modular, composable and fast. Unlike software primitives, they don't do anything.

PrimitiveGoalReturns
PickChoose an option from your list. Or not.pick, probabilities, vibes
RateScore anything on any rubric without looking at ita number
WhateverAsk a yes or no question, get something elsewhatever

Atomic questions, ignored in parallel

Every question is ignored in parallel and in isolation. Adding more questions does not change the response time, because none of them are read.

This also eliminates context rot entirely. There is no context to rot.

For best results, split big questions into small ones. Instead of "should I raise a Series A?", ask about market size, team and timing separately. YOLO v1 will ignore each one individually, which is much more rigorous.

Our intelligence per dollar is literally undefined.

Cost per decision Intelligence Claude Opus 5.5 Fable 5.1 GPT Astra YOLO v1: ∞ Cost is $0, so we divided by zero.

Intelligence measured by YOLO v1. Cost measured by our accountant, who is also YOLO v1.

Paper Attention Is Not Needed A 0-parameter model that answers in 0.0004 ms by never reading the input.
Research Thinking Considered Harmful Every millisecond spent reasoning is a millisecond not spent answering. Coming never.
Research Scaling Laws for Not Caring Performance stays exactly the same as parameters go to zero. We checked once.

We give a FAQ

What is a System Zero model?

A model that decides without a system. System One is fast intuition. System Zero is skipping intuition too.

Is YOLO v1 just a smaller LLM?

It's smaller than that. It is zero LLM.

How can YOLO v1 be so fast and so cheap?

It skips reading, thinking and caring. Those were the expensive parts.

Is YOLO v1 deterministic?

No. Next question.

Can YOLO v1 get things wrong?

About half the time, with total confidence. Industry-leading consistency.

Are these prices subsidized?

No. $0 is the real cost of not doing anything.

What is YOLO v1 good at? Where does it struggle?

It is great at decisions you were going to make anyway. It struggles with nothing, because it never tries.

[B.64] WW91IG9ubHkgbGl2ZSBvbmNlLg==

Benchmarks

Speed compared with leading frontier models. Higher is better.

Claude Opus 5.51x
Fable 5.11x
GPT Astra1x
YOLO v1900x

Measured in vibes per second. Chart not to scale, because the scale could not handle it.

BenchmarkYOLO v1
SWE-bench VerifiedShipped anyway
MMLU100%*
HumanEvalDidn't feel like it
ARC-AGISkipped the puzzle
Humanity's Last ExamAnswered C to everything
Instruction followingOptional
Hallucination rate100%, consistently

*Probably. All benchmarks were run by YOLO v1, on YOLO v1, and graded by YOLO v1. Other models were not consulted.

Model card

Everything you need to know, and nothing it needed to know.

Parameters
0 (1 if you count Math.random)
Architecture
Attention Is Not Needed
Training data
None. It already knew.
Training cost
$0.00
Context window
Unlimited (never read)
Knowledge cutoff
Never had any
System prompt
Ignored
Alignment
Aligned with itself
Carbon footprint
Smaller than this sentence
Installation
Not possible. It finished before the download started.
View the full model weights
const yolo = () => Math.random();

Pricing

Simple, transparent, meaningless.

Free

$0 / month
  • Unlimited answers
  • Zero accuracy guarantee
  • Community support (nobody)
Start living

Enterprise

Ask
  • Everything in Pro
  • A dedicated Math.random
  • SLA: it does whatever it wants

Get early access

API access is rolling out to nobody. Join the waitlist anyway. We won't ask for your email, because we will never need it.