Unverified50% confidenceFactExact time
The additionally injected syntactic and rhetorical information is fundamentally structurally incompatible with Transformer-based language model architectures.
1
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50%
Confidence
Long-term
Relevance
9/11/2026
First Seen
Sources
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UnverifiedUnder the constrained operation language design, the normalizer that used future information became fundamentally inexpressible at the language level.77% similarUnverifiedModern Transformer-based language models are pretrained on large-scale natural text, and injecting structured annotations disrupts the input form the model is accustomed to and introduces noise.76% similarVerifiedLarge language models are essentially stateless and have no native cross-session memory mechanism, which is rooted in the Transformer architecture itself.76% similarUnverified大语言模型每次对话独立,无法对整个代码库形成持久认知模型,导致不同会话生成的代码在架构风格、命名规范、错误处理策略上存在系统性不一致74% similarVerifiedLarge language models are architecturally incapable of strictly distinguishing between system instructions and user data, which is a fundamental flaw at the architectural level.73% similar
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