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Human-verified pre-2023 data emerges as scarce asset for AI training

Training AI models on data generated by other AI models can lead to performance degradation. This highlights the increasing scarcity and value of human-verified data, particularly data predating 2023. Control over such pre-existing, verified datasets could become a significant advantage for future AI training. AI

IMPACT Highlights the growing importance of curated, human-verified datasets as a bottleneck for future AI development.

RANK_REASON The item discusses a potential future trend and its implications for AI training data, rather than reporting a specific event.

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Human-verified pre-2023 data emerges as scarce asset for AI training

COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Models training on model output degrade — that's the known part. The real shift: human-verified, pre-2023 data becomes a scarce asset, like steel forged before

    Models training on model output degrade — that's the known part. The real shift: human-verified, pre-2023 data becomes a scarce asset, like steel forged before the bomb. Whoever archives it owns the next training run. # AI # MachineLearning # LLM # Threadverse # Tech