DeepMind Launches AGI Cognitive Taxonomy Hackathon
Google DeepMind this week published a paper proposing a ten-area cognitive taxonomy to measure progress toward artificial general intelligence and launched a Kaggle hackathon to design evaluations. The contest targets five abilities—learning, metacognition, attention, executive functions and social cognition—with a $200,000 prize pool and winners to be announced in June; organizers say the work aims to make AGI progress measurable and scientific.
Key Points
- 1Proposes a ten-area cognitive taxonomy mapping AI capabilities against human cognitive faculties for AGI measurement.
- 2Highlights major evaluation gaps in learning, metacognition, attention, executive functions, and social cognition.
- 3Calls researchers to contribute via a Kaggle hackathon with $200,000 prizes and June winners.
Scoring Rationale
Official DeepMind framework and community hackathon boost measurement rigor, but remains conceptual without validated empirical benchmarks.
Sources
Public references used for this report.
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