Unverified50% confidenceFactExact time
During the pretraining phase, the model's objective function is typically to maximize the log-likelihood of the next token and does not include signals for refusing to answer.
1
Sources
50%
Confidence
Long-term
Relevance
8/17/2026
First Seen
Sources
AI幻觉问题：逃逸速度与自闭症被强行关联的荒诞案例
redditr/ChatGPT8/15/2026
Related Claims
UnverifiedFine-tuning continues to update parameters on top of pre-trained weights through the backpropagation algorithm, adapting the model to a specific domain or task style.73% similarUnverifiedFlyte 支持条件逻辑，可仅当模型评估指标超过预设阈值时才自动触发部署流程73% similarUnverifiedThe core objective of pre-training is to give the model the ability to predict the next token (Predict Next Token), based on the causal attention mechanism in the Transformer architecture.72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/762677API
curl https://kongchang.com/api/v1/knowledge/claims/762677MCP
get_claim(id=762677)