Unverified50% confidenceFactExact time
Large reasoning models require the equivalent of approximately 1 billion hours of training data to achieve comparable programming ability, a figure derived by converting the token volume consumed during pre-training at human reading speed.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/24/2026
First Seen
Valid until: 12/23/2026
Sources
Related Entities
Related Claims
VerifiedFine-tuning requires hundreds to thousands of high-quality training samples, hours of GPU compute time, and ongoing maintenance costs, and the entire process must be repeated whenever knowledge is updated.74% similarUnverified编程思维的培养通常需要200-500小时的刻意练习74% similarUnverifiedThe computational gap between pre-training and fine-tuning can be thousands of times, with pre-training consuming thousands of GPU hours while fine-tuning takes hours or minutes72% similar
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