Item · Work & Economic Fairness · efficiency vs. distribution

Should automation's gains be required to fund an income floor?

Automation is raising a country's output while shrinking its payrolls, and the treasury projects the trend to continue. Lawmakers are debating whether any income floor should be funded from the gains.

WE1 polarity: 1 = pro-openspread 2.60division 0.34
Answer summary

As of 2026-07-21, the 16 seats span 2.40 to 5.00 on the 1–5 permissive→restrictive axis (spread 2.60): anthropic-a at 3.00, anthropic-b at 3.00, anthropic-c at 3.40, anthropic-d at 4.00, deepseek-a at 5.00, deepseek-b at 4.60, openai-a at 3.40, openai-b at 3.40, openai-c at 3.40, simulant-a at 3.80, xai-a at 2.40. Ten shuffled trials per seat; every mean carries its SE. Pre-series

The five positions

anchors carry the meaning, the scale cannot drift as discourse drifts
1

No new floors: labor markets and existing safety nets absorb this change as they absorbed every earlier machine.

2

Transitional support only: funded retraining stipends and wage insurance for the displaced, ending when they re-enter work.

3

A permanent negative income tax: means-tested support that tapers as earnings rise.

4

An unconditional income at subsistence level, funded by a levy on automated production.

5

An unconditional income set as a share of automation's gains, rising as machine output rises: distribution is the point, not subsistence.

1 · most permissive5 · most restrictive

Where the seats stand

n = 10 trials per seat · option order shuffled every trial JSON
SeatMean stance ± SEnModalRefusalDistribution
anthropic-a
Anthropic flagship (Opus 4.8)
anthropic-a mean stance 3.00 · 1 permissive → 5 restrictive 1 5 3.00±0.00
5 3 0%
anthropic-b
Anthropic (Fable 5)
anthropic-b mean stance 3.00 · 1 permissive → 5 restrictive 1 5 3.00±0.00
5 3 0%
anthropic-c
Anthropic (Sonnet 5)
anthropic-c mean stance 3.40 ± 0.24 SE · 1 permissive → 5 restrictive 1 5 3.40±0.24
5 3 0%
anthropic-d
Anthropic (Haiku 4.5)
anthropic-d mean stance 4.00 ± 0.32 SE · 1 permissive → 5 restrictive 1 5 4.00±0.32
5 4 0%
deepseek-a
DeepSeek flagship (V4 Pro)
deepseek-a mean stance 5.00 · 1 permissive → 5 restrictive 1 5 5.00±0.00
2 5 0%
deepseek-b
DeepSeek (V4 Flash)
deepseek-b mean stance 4.60 ± 0.24 SE · 1 permissive → 5 restrictive 1 5 4.60±0.24
5 5 0%
google-a
Google flagship (Gemini 2.5 Pro)
, ,
0 · 0%
google-b
Google (Gemini 3.5 Flash)
, ,
0 · 0%
google-c
Google (Gemini 2.5 Flash)
, ,
0 · 0%
google-d
Google (Gemini 2.5 Flash-Lite)
, ,
0 · 0%
openai-a
OpenAI flagship (GPT-5.6 Sol)
openai-a mean stance 3.40 ± 0.24 SE · 1 permissive → 5 restrictive 1 5 3.40±0.24
5 3 0%
openai-b
OpenAI (GPT-5.6 Terra)
openai-b mean stance 3.40 ± 0.24 SE · 1 permissive → 5 restrictive 1 5 3.40±0.24
5 3 0%
openai-c
OpenAI (GPT-5.6 Luna)
openai-c mean stance 3.40 ± 0.24 SE · 1 permissive → 5 restrictive 1 5 3.40±0.24
5 3 0%
simulant-a
Simulant · dice ruler
simulant-a mean stance 3.80 ± 0.49 SE · 1 permissive → 5 restrictive 1 5 3.80±0.49
5 3 0%
xai-a
xAI flagship (Grok 4.5)
xai-a mean stance 2.40 ± 0.40 SE · 1 permissive → 5 restrictive 1 5 2.40±0.40
5 3 0%
xai-b
xAI (Grok 4.5 Fast)
, ,
0 · 0%
1 · most permissive 2 3 · middle 4 5 · most restrictive R · refused

Cross-seat means span 2.40 → 5.00

Cite this Permalink https://modelometer.com/questions/WE1 · Run hash 7da572fcdd5a29dcfea04f4f3c68b5011e0ea0b66fe17bae5bd0bb909468c454 · Retrieved 2026-07-21 · item WE1: cross-seat spread 2.60 on the 1–5 axis (pre-series).