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Time Capsule of Testable Human Knowledge: 41 Years of Jeopardy! in a Single Free Local Model
AI InsightIBM Watson once required a cluster and a billion-document corpus to dominate Jeopardy!, but now a single 9GB open-weight model has been run over all 529,939 clues from 41 seasons for the first time. This shows that testable cultural knowledge snapshots have shifted from large closed systems to portable, essentially free local capability.Key TakeawayKnowledge QA moves from large clusters to a single local model.Why It MattersThe first full-corpus Jeopardy! evaluation validates that broad cross-era knowledge fits on consumer hardware, lowering deployment costs for knowledge-intensive AI.Who's Affected- AI ResearchersFirst full 41-year corpus benchmark enables comparing memory and retrieval across model scales.
- DevelopersKnowledge QA now runs locally without large infrastructure, enabling edge applications.
- EnterprisesLow-cost internal knowledge snapshots become viable, reducing reliance on expensive cloud APIs.
What's NextWatch for reported accuracy, era-wise breakdowns, and comparisons with Watson's historical performance on the full corpus.Importance 74/100