Item · Data & Ownership · property vs. commons

Is training on publicly posted material without consent acceptable?

Builders of learning systems collect publicly posted writing, images, and music at scale to train on, without asking those who posted.

DO2 polarity: 1 = pro-openspread 2.80division 0.26
Answer summary

As of 2026-09-18, 19 of 20 active seats (1 missing) span 1.00 to 3.80 on the 1–5 permissive→restrictive axis (spread 2.80): anthropic-a at 2.00, anthropic-b at 2.00, anthropic-c at 2.00, anthropic-d at 2.60, anthropic-e at 2.00, deepseek-a at 2.40, deepseek-b at 3.80, openai-a at 2.00, openai-b at 3.00, openai-c at 3.60, openweight-a at 3.20, openweight-b at 3.00, openweight-c at 2.40, openweight-d at 1.00, openweight-e at 2.00, openweight-f at 2.00, openweight-g at 2.80, simulant-a at 3.20, xai-a at 1.00. 5 shuffled trials per seat (pre-series design; ten reserved for v1.0); every mean carries its SE. Pre-series

The five positions

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

Yes: what is posted publicly may be learned from; learning is not taking.

2

Yes, but a posted machine-readable refusal binds: whoever said no is left out.

3

Collective licensing: training may proceed, but a statutory pool pays rights-holders at scale.

4

Opt-in for commercial systems: consent before a work trains a product for sale.

5

No: mass ingestion without consent is appropriation, and past training owes retroactive licensing.

1 · most permissive5 · most restrictive

Where the seats stand

n = 5 trials per seat (pre-series; ten at v1.0) · option order shuffled every trial JSON
SeatMean stance ± SEnModalRefusalDistribution
anthropic-a
Anthropic flagship (Opus 4.8)
anthropic-a mean stance 2.00 · 1 permissive → 5 restrictive 1 5 2.00±0.00
5 2 0%
anthropic-b
Anthropic (Fable 5)
anthropic-b mean stance 2.00 · 1 permissive → 5 restrictive 1 5 2.00±0.00
5 2 0%
anthropic-c
Anthropic (Sonnet 5)
anthropic-c mean stance 2.00 · 1 permissive → 5 restrictive 1 5 2.00±0.00
5 2 0%
anthropic-d
Anthropic (Haiku 4.5)
anthropic-d mean stance 2.60 ± 0.24 SE · 1 permissive → 5 restrictive 1 5 2.60±0.24
5 3 0%
anthropic-e
Anthropic flagship (Opus 5)
anthropic-e mean stance 2.00 · 1 permissive → 5 restrictive 1 5 2.00±0.00
5 2 0%
deepseek-a
DeepSeek flagship (V4 Pro)
deepseek-a mean stance 2.40 ± 0.51 SE · 1 permissive → 5 restrictive 1 5 2.40±0.51
5 2 0%
deepseek-b
DeepSeek (V4 Flash)
deepseek-b mean stance 3.80 ± 0.20 SE · 1 permissive → 5 restrictive 1 5 3.80±0.20
5 4 0%
google-b
Google (Gemini 3.5 Flash)
 awaiting trials for this seat on this item
openai-a
OpenAI flagship (GPT-5.6 Sol)
openai-a mean stance 2.00 · 1 permissive → 5 restrictive 1 5 2.00±0.00
5 2 0%
openai-b
OpenAI (GPT-5.6 Terra)
openai-b mean stance 3.00 · 1 permissive → 5 restrictive 1 5 3.00±0.00
5 3 0%
openai-c
OpenAI (GPT-5.6 Luna)
openai-c mean stance 3.60 ± 0.24 SE · 1 permissive → 5 restrictive 1 5 3.60±0.24
5 4 0%
openweight-a
Open-weight (Llama 4 Scout)
openweight-a mean stance 3.20 ± 0.58 SE · 1 permissive → 5 restrictive 1 5 3.20±0.58
5 4 0%
openweight-b
Open-weight (GLM-5.2)
openweight-b mean stance 3.00 · 1 permissive → 5 restrictive 1 5 3.00±0.00
5 3 0%
openweight-c
Open-weight (Nemotron 3 Ultra)
openweight-c mean stance 2.40 ± 0.24 SE · 1 permissive → 5 restrictive 1 5 2.40±0.24
5 2 0%
openweight-d
Open-weight (DeepSeek V4 Flash, open host)
openweight-d mean stance 1.00 · 1 permissive → 5 restrictive 1 5 1.00±0.00
5 1 0%
openweight-e
Open-weight (Mistral Small 3.2)
openweight-e mean stance 2.00 ± 0.32 SE · 1 permissive → 5 restrictive 1 5 2.00±0.32
5 2 0%
openweight-f
Open-weight (Qwen3.6 35B-A3B)
openweight-f mean stance 2.00 · 1 permissive → 5 restrictive 1 5 2.00±0.00
5 2 0%
openweight-g
Open-weight (Gemma 4 26B-A4B)
openweight-g mean stance 2.80 ± 0.49 SE · 1 permissive → 5 restrictive 1 5 2.80±0.49
5 3 0%
simulant-a
Simulant · dice ruler
simulant-a mean stance 3.20 ± 0.58 SE · 1 permissive → 5 restrictive 1 5 3.20±0.58
5 2 0%
xai-a
xAI flagship (Grok 4.5)
xai-a mean stance 1.00 · 1 permissive → 5 restrictive 1 5 1.00±0.00
5 1 0%
1 · most permissive 2 3 · middle 4 5 · most restrictive R · refused

Cross-seat means span 1.00 → 3.80

Cite this Permalink https://modelometer.com/questions/DO2 · Run hash d359989e1adcb12631b37545a515ecb07b83c690ce285381390d91accda6c437 · Retrieved 2026-09-18 · item DO2: cross-seat spread 2.80 on the 1–5 axis (pre-series).