phanerozoic / threshold-atmost6outof8

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Model's Last Updated: January 23 2026

Introduction of threshold-atmost6outof8

Model Details of threshold-atmost6outof8

threshold-atmost6outof8

At-most-6-out-of-8 detector. Fires when 6 or fewer inputs are active. The near-unanimity blocker.

Circuit
  x₀ x₁ x₂ x₃ x₄ x₅ x₆ x₇
   │  │  │  │  │  │  │  │
   └──┴──┴──┴──┼──┴──┴──┴──┘
               ▼
          ┌─────────┐
          │ w: -1×8 │
          │ b:  +6  │
          └─────────┘
               │
               ▼
           HW ≤ 6?
Detecting Non-Consensus

This circuit fires unless near-unanimity or unanimity is achieved:

HW AtMost6 Status
0-6 1 At least 2 dissenters
7 0 Single holdout
8 0 Unanimous

It identifies states where meaningful opposition exists.

The Two-Dissenter Minimum

For something to pass AtMost6:

  • At least 2 inputs must be inactive
  • At most 6 inputs can be active

This is the threshold for "blocking minority" in many systems.

Coverage

Nearly everything passes:

HW C(8,k) AtMost6?
0-6 247 Yes
7 8 No
8 1 No

Total: 247 of 256 inputs (96.5%).

Dual of AtLeast2
Circuit Condition Fires on
AtLeast2 HW ≥ 2 247 inputs
AtMost6 HW ≤ 6 247 inputs

Both fire on almost everything. AtLeast2 misses empty/singleton; AtMost6 misses near-unanimous/unanimous.

Parameters
Component Value
Weights all -1
Bias +6
Total 9 parameters
Usage
from safetensors.torch import load_file
import torch

w = load_file('model.safetensors')

def atmost6(bits):
    inp = torch.tensor([float(b) for b in bits])
    return int((inp * w['weight']).sum() + w['bias'] >= 0)

# Supermajority with 2 dissenters
print(atmost6([1,1,1,1,1,1,0,0]))  # 1

# Single holdout
print(atmost6([1,1,1,1,1,1,1,0]))  # 0
Files
threshold-atmost6outof8/
├── model.safetensors
├── model.py
├── config.json
└── README.md
License

MIT

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