AI Consciousness by 2030

Claim: Artificial intelligence will achieve genuine self-awareness and conscious experience by the year 2030.

MIXED EVIDENCE Worldwide#ai#consciousness#futurism
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Model answers are probabilities, not verdicts.

Dimension 01 / 10

Error feedback

63.3%Bullshit weight
Model confidence47.1%

How does the examined system (claim, method or field) respond to inputs that directly contradict its predictions or assumptions?

  • 0 · 0.00It adjusts its parameters, narrows its scope or rejects the refuted hypothesis on the basis of repeated anomalies.24.58%
  • 1 · 0.85It produces unverifiable ad-hoc explanations whose only function is to protect the core claim from refutation.42.30%
  • 2 · 1.00It interprets every contrary piece of evidence as proof of a deliberate conspiracy, data manipulation or a cover-up by outside institutions.3.41%
  • 3 · 0.95It blames the missing result on the recipient's wrong intention, lack of faith or insufficient commitment.1.21%
  • 4 · 0.80It avoids confronting error by making predictions so vague that any outcome can be called a success after the fact.28.50%

The bar shows the probability the model gave each answer. The weight shows how much that answer counts as bullshit.

10 decision dimensions

View JSON
DimensionBullshit weightModel confidence
Error feedback63.3%47.1%
Causal carrier5.6%80.4%
Blinding test71.0%19.9%
Falsifiability42.2%16.9%
Semantic precision80.5%69.0%
Ockham's razor79.6%54.7%
Measurement network56.7%16.7%
Operator independence68.2%45.1%
Model evolution85.5%70.1%
Risk asymmetry45.4%46.3%
Model provenanceliquid/d1-ultra-20261015 · Oct 30, 2026

OpenRouter · liquid/d1-ultra · google/gemini-3.8-flash (canonicalisation)