Exploring a hiring-based formula with fixed example inputs across four lab labels.
Experimental indicator, not a validated AGI probability. These are fixed, unverified example inputs, not live hiring data. Read the methodology and limitations.
This experiment assumes that a drop in job listings might reflect automation. That assumption is unvalidated; budgets, recruiting cycles and restructuring can also change listings.
The formula expresses a decline from the largest stored quarterly input. Its historical P(AGI) label does not make the result a measured probability of AGI.
With the stored example inputs, the combined indicator is 7.55%.
The stored DeepMind and xAI values fall between the periods labelled Q2 and Q3. Their provenance is unverified; these inputs do not establish actual hiring freezes or automation.
The stored OpenAI series rises, while the Anthropic series falls from its Q2 peak. These patterns describe this example dataset, not verified current hiring conditions.