66% | Will the NYT v OpenAI case or equivalent result in a precedent setting ruling on AI training data by 2028?

Back to thesis map Part ofWill AI generated content exceed human generated content on the US internet before 2030?

Current eventLegal, copyright & regulation

Will the NYT v OpenAI case or equivalent result in a precedent setting ruling on AI training data by 2028?

LiveResolves Dec 31, 2028

Current view

66%

Current 4 model consensus

Movement

Recent consensus movement

Model disagreement

12pt

Range across the model set

Evidence

Contested

Material disagreement remains

Thesis map

What is carrying or resisting the view?

Start with the map. Select a mechanism or condition to see what supports the thesis, what resists it, and where disagreement deserves review.

What changed

No decision-relevant findings are available yet.

Review record

Weekly freezes, daily history, and the map version preserved with the record.

Why the view is fragile

12pt model spread around 66% consensus. Open the full disagreement instrument only when you need the model-level reasoning.

Model disagreement

Model spread

12pt

60% to 72%

Consensus

66%

4 models

Evidence state

Contested

Material disagreement remains

Most divergent

Gemini

-6pt from consensus

Disagreement synthesis

The models share a central case but assign different weight to the evidence.

Gemini anchors the lower end at 60%, while Claude anchors the upper end at 72%. Consensus sits at 66%, leaving a 12 point range for review.

Primary review question

The speed at which courts can process and adjudicate complex, technologically dependent cases and the potential for legislative intervention that could preempt or influence judicial rulings.

Shared probability axis

Range 60% to 72%

Consensus 66%

Gemini 60

GPT-4o 65

Grok 68

Claude 72

0255075100

ModelForecastVs consensusDivergenceReasoning signal

Model reasoning

Select a model to inspect

Reasoning

The NYT v OpenAI case, or similar litigation, presents a novel legal challenge to copyright law regarding AI training data. The increasing volume of such lawsuits and the inherent complexity of establishing precedent in a rapidly evolving technological field suggest a high likelihood of judicial involvement by 2028. The urgency and public interest surrounding AI's legal and ethical implications will likely accelerate legal proceedings and the eventual establishment of a ruling.

Key uncertainty

The speed at which courts can process and adjudicate complex, technologically dependent cases and the potential for legislative intervention that could preempt or influence judicial rulings.

Deep dive

Full decomposition, component audit, trajectory, and detailed analytical views.

Deep dive

Detailed evidence, audit, and history views.

Open only what you need

Belief trajectoryConsensus 66% · 12pt spread

Belief trajectory0 updates

Belief trajectory

Consensus—

Spread—

Confidence—

Δ Consensus—

Loading belief trajectory…

Resolution & provenance

Resolution sources, record policy, cadence, and permanent record metadata.

Resolution and provenance

How the thesis resolves and how its record is maintained.

Permanent record

Record ID

CRENE-AICD-LR04

Record policy

Append only

Freeze cadence

Thursdays

Generated

Jun 17, 2026

Back to thesis map Part ofWill AI generated content exceed human generated content on the US internet before 2030?

Current eventLegal, copyright & regulation

Will the NYT v OpenAI case or equivalent result in a precedent setting ruling on AI training data by 2028?

LiveResolves Dec 31, 2028

Current view

66%

Current 4 model consensus

Movement

Recent consensus movement

Model disagreement

12pt

Range across the model set

Evidence

Contested

Material disagreement remains

Thesis map

What is carrying or resisting the view?

Start with the map. Select a mechanism or condition to see what supports the thesis, what resists it, and where disagreement deserves review.

What changed

No decision-relevant findings are available yet.

Review record

Weekly freezes, daily history, and the map version preserved with the record.

Why the view is fragile

12pt model spread around 66% consensus. Open the full disagreement instrument only when you need the model-level reasoning.

Model disagreement

Model spread

12pt

60% to 72%

Consensus

66%

4 models

Evidence state

Contested

Material disagreement remains

Most divergent

Gemini

-6pt from consensus

Disagreement synthesis

The models share a central case but assign different weight to the evidence.

Gemini anchors the lower end at 60%, while Claude anchors the upper end at 72%. Consensus sits at 66%, leaving a 12 point range for review.

Primary review question

The speed at which courts can process and adjudicate complex, technologically dependent cases and the potential for legislative intervention that could preempt or influence judicial rulings.

Shared probability axis

Range 60% to 72%

Consensus 66%

Gemini 60

GPT-4o 65

Grok 68

Claude 72

0255075100

ModelForecastVs consensusDivergenceReasoning signal

Model reasoning

Select a model to inspect

Reasoning

Key uncertainty

The speed at which courts can process and adjudicate complex, technologically dependent cases and the potential for legislative intervention that could preempt or influence judicial rulings.

Deep dive

Full decomposition, component audit, trajectory, and detailed analytical views.

Deep dive

Detailed evidence, audit, and history views.

Open only what you need

Belief trajectoryConsensus 66% · 12pt spread

Belief trajectory0 updates

Belief trajectory

Consensus—

Spread—

Confidence—

Δ Consensus—

Loading belief trajectory…

Resolution & provenance

Resolution sources, record policy, cadence, and permanent record metadata.

Resolution and provenance

How the thesis resolves and how its record is maintained.

Permanent record

Record ID

CRENE-AICD-LR04

Record policy

Append only

Freeze cadence

Thursdays

Generated

Jun 17, 2026