Will frontier AI effective training compute increase by a factor 10 billion between 2025 and 2035?
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Données au 26 oct. 2026, 05:41 UTC · politique pm-quality-4
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Mis à jour il y a 10 heures
Obsolète15 févr. 25, 16:08 UTC1 janv. 35, 22:59 UTC
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Resolves as YES if the effective compute involved in the training of frontier AI models increases by a factor of a least 10 billion between January 1st 2025 and January 1st 2035.
- In the context of this question, we follow the definitions proposed by Epoch AI, where effective compute is defined as the composite of algorithmic progress and compute scaling ("algorithmic progress decreases the pretraining cost of AI").
- [image]Links:
- https://x.com/EpochAIResearch/status/1890530253866422525/photo/1
- https://epoch.ai/gradient-updates/algorithmic-progress-likely-spurs-more-spending-on-compute-not-less
