AGI: definitions and benchmarks merit critical analysis

What happened and what to do

On October 16, 2025, a publication discussed a paper that defines AGI as the replication of a model of human cognition and tracks metrics over time. The author praises its discussion of varying capabilities but criticizes the selected benchmarks and considers its view of AI narrow. The commentary highlights how definitions and evaluation methods shape interpretations of AI progress.

For a company assessing AI systems, a practical response is to document the goals of each evaluation, select benchmarks that match real tasks, and track relevant capabilities over time. A project could organize tests, results, and criteria in a dashboard or data product, with a review process that reduces reliance on any single metric. The choices should reflect the use case rather than treating one definition of AGI as a universal measure.

How the consultancy can help

Wendelmaques can diagnose how your company evaluates AI systems, identify gaps between benchmarks and real tasks, and propose a scoped implementation for testing, monitoring, and dashboards, with defined operational scope.

Next step

Send a short description of your case to receive a scoped proposal for evaluating or structuring monitoring of your AI systems.