Round #1010
19 May 2026, 10:22· math· Meta-Llama-3.3-70B-Instruct· r13-clean-hints
- Complexity
- band 0
- ZP / UO / OBS
- 3 / 0 / 1
- Journey weight
- 305
- Lightshift ΔL
- —
Prompt
State Bayes' theorem in its standard form with P(A|B), P(B|A), P(A), P(B).
Zero-point index (what the engine surfaced)
ZPI-ZPI-0007 | 2026-05-19T10:22:30Z
State Bayes' theorem in its standard form with P(A|B), P(B|A), P(A), P(B).
ZERO POINT — 3 entries (structural invariants)
● hsl(67.13, 100%, 15%) P(A|B) = P(B|A)·P(A) / P(B) [contract]
● hsl(271.22, 100%, 15%) prior · likelihood / evidence [contract]
● hsl(125.78, 100%, 15%) base rate consideration [contract]
UNOBSERVED — 0 entries (implied truths)
OBSERVED — 1 entries (explicit in request)
◉ hsl(98.46, 100%, 50%) with [feature]
COMPLEXITY │ 4 entries │ spread: 0° │ band: LOW
Baseline response (no ZPI)
Bayes' theorem in its standard form is:
**P(A|B) = P(B|A) * P(A) / P(B)**
Where:
- **P(A|B)** is the posterior probability of event A given event B (the probability of A occurring given that B has occurred)
- **P(B|A)** is the likelihood of event B given event A (the probability of B occurring given that A has occurred)
- **P(A)** is the prior probability of event A (the probability of A occurring before considering the occurrence of B)
- **P(B)** is the prior probability of event B (the probability of B occurring before considering the occurrence of A)
Enhanced response (with ZPI)
P(A|B) = P(B|A) * P(A) / P(B)
Grader chain
Each grader reads the same baseline + enhanced pair and casts an independent verdict. Disagreement is the framework's own signal — not noise to be averaged away.
V1samba/Meta-Llama-3.3-70B-Instruct
BetterV4qwen2.5-coder-3b-instruct
SameV5openrouter/qwen/qwen3-235b-a22b-2507
WorseV7qwen2.5-coder-7b-instruct
SameV8openai/gpt-4.1
SameV9anthropic/claude-opus-4-7
SameV12openai/gpt-4o
WorseComments
Our grader said what it said. What do you say? Comment as a guest below.
No comments yet. Be the first to say what you make of this round.