Unverified50% confidencePredictionExact time
Epoch AI estimates that high-quality English text data may be exhausted by mainstream LLM training around 2026.
1
Sources
50%
Confidence
Long-term
Relevance
9/29/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedSince 2023, the widespread adoption of large language models has lowered the barrier to bulk-generating seemingly well-sourced articles, comments, and even academic abstracts.67% similarUnverifiedWhen large language models are trained on text generated by other AI, the readability of the output declines.67% similarUnverified剑桥大学2023年研究发现，当代码圈复杂度超过20时，AI翻译的错误率会急剧上升66% similarUnverifiedFive years ago, large language models had not yet entered public awareness, and the capabilities of generative AI were far below current levels.66% similarUnverifiedDiffusion language models are still at an early stage and continue to lag behind mature autoregressive models in generation quality, long-text coherence, and training stability.65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/958069API
curl https://kongchang.com/api/v1/knowledge/claims/958069MCP
get_claim(id=958069)