These answers separate measurable model results, research definitions and policy vocabulary. Ranking answers use the snapshot timestamp above. Editorial definitions were reviewed against the cited evidence on October 8, 2026; each answer links to its supporting document or data. Neither an administrative rename nor a benchmark victory is treated as proof of general beyond-human intelligence.
Is there a superintelligence yet?
SI Index does not establish that research-sense superintelligence has been achieved. A high benchmark score measures selected tasks, not superiority across virtually all human cognitive domains. Nature’s terminology editorial describes superintelligence as an aspirational category. The U.S. policy term has a separate administrative meaning that encompasses existing AI technologies; using that label is not evidence of a scientific breakthrough.
Source: Nature terminology editorial ↗
What is the smartest AI right now?
In this SI Index snapshot, generated Oct 9, 2026, Claude Fable 5.1 is the highest rank-eligible model with SI Score 80.2 and 100% confidence. “Smartest” depends on the measured task: a coding or math leader can differ from the overall leader. This is a dated composite comparison of published evaluations, not a universal test of intelligence or a guarantee for your prompts.
What does SI mean?
SI stands for superintelligence on this site. SI Score is SI Index’s name for its composite model ranking. In U.S. executive-branch policy, Executive Order 14434 of September 29, 2026 directs the use of “Super Intelligence” and “SI” in place of “Artificial Intelligence” and “AI”, to the maximum extent permitted by law. Those initials should be interpreted in context rather than treated as a universal scientific unit.
Source: EO 14434, Sections 1–3 ↗
What is the difference between superintelligence and AGI?
A useful distinction is breadth versus degree: AGI describes broadly matching human performance, while superintelligence describes going far beyond it. Microsoft AI’s November 6, 2025 essay makes that distinction explicitly. Authors can draw different boundaries, so a claim about either term should state its definition and evidence. A high result on a narrow benchmark alone does not resolve whether a system meets either category.
How is the SI Score calculated?
Method si-v3-retained-evidence-2 maps published benchmark values to fixed 0–100 scales, combines them into weighted capability pillars and shrinks incomplete evidence toward 50. The current weights are reasoning 30%, math 15%, coding 40%, preference 15%. Source reliability and benchmark breadth affect support. Missing results remain unknown. The pipeline computes the score; SI Index does not perform these evaluations itself.
Does 100% confidence mean an AI is always correct?
No. Confidence measures expected benchmark-source completeness, reaching 100% at 80% coverage. It is not answer accuracy, safety, a probability of correctness or a statistical confidence interval. Some expected sources can still be pending at the ceiling. Review each model’s sources and test representative tasks yourself, especially when a small score difference would drive your choice.
Source: Confidence equation ↗
Why are some models provisional?
A model receives an overall rank only when confidence is at least 50% and at least two capability pillars have scores. Other models remain provisional, including models with partial scores. A catalog entry can have confirmed identity, prices or context without enough benchmark evidence for a useful model detail page. Provisional means more evidence is needed for this comparison; it is not a judgment that the model is poor.
Source: Full catalog and ranking rules ↗
Are superintelligence and super intelligence different?
The one-word form is used in research and company names, while the two-word capitalized form appears in EO 14434’s policy terminology. The order’s interim definition refers to the existing statutory definition of artificial intelligence; it does not establish the research concept has been achieved. SI Index uses the common search spellings while explaining that distinction. Read the source document before inferring capabilities from a name.
Source: Policy definition explainer ↗
For a choice rather than a definition, use best AI model. For the exact numbers and result variants behind a claim, inspect the current dataset and model sources.