AI-model studies · Knowability Lab

What do LLMs know?

Leading large language models encode broad patterns of language, facts, concepts, and reasoning. A structured study asks the same question across a documented model panel, then separates shared findings from model-family disagreement, run-to-run variation, and prompt sensitivity.

This is a measurement, not an oracle. Each study has a defined question, model population, evidence conditions, protocol, aggregation rule, and release. Its results describe the selected models under those conditions—not artificial intelligence as a single mind or an objective source of truth.

Making model knowledge measurable

We predefine which models are asked, what information they may use, how the question is phrased, how repeated responses are aggregated, and what counts as a valid result. The measured population consists of defined AI models rather than people.

01 · QUESTION

Research question

Exact estimand, scale, non-claims, and use boundaries.

02 · POPULATION

Model population

A dated target population, documented panel, and inclusion rules.

03 · PROTOCOL

Frozen protocol

The same question, evidence conditions, prompt variants, and order controls.

04 · MEASUREMENT

Repeated measurement

Repeated runs, accounting for failures and refusals, and family-level aggregation.

05 · AUDIT

Sensitivity and audit

Model, prompt, order, and weight sensitivity with a reproducible release.

06 · PUBLICATION

Clear publication

Median, disagreement, limitations, method sheet, and a publishable results page.

Three study formats

AI Poll Snapshot

One focused question

  • frozen model panel
  • repeated measurement
  • concise results report
Comparative AI Poll

Compare multiple options

  • criteria and weights
  • model-family disagreement
  • interactive analysis
Public AI Poll Release

Public research release

  • audit and data package
  • publication-ready results page
  • press and method materials

First application: Hungarian President AI Poll

Case study · July 2026

What do AI models say about the presidential role?

An application of the method to 65 public professional profiles using four model families, five configurations, and six adjustable criteria.

65profiles
4model families
5configurations
6criteria
Commission a study

What question should we measure?

Send us the research question, intended audience, and desired use. We will assess whether it is suitable for an AI Poll, what panel and protocol are needed, and which publication format fits the project.

For public releases, the commissioning party and funding are disclosed; we do not guarantee a predetermined result.