Unverified50% confidenceFactExact time
LLMs have difficulty directly parsing the binary structure of Figma files and scattered Design Tokens.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/8/2026
First Seen
Valid until: 12/7/2026
Sources
Related Entities
Related Claims
UnverifiedLLMs have difficulty directly parsing the binary structure of Figma files and extracting design intent from scattered codebases, whereas Markdown is the format that models are best at understanding and following.80% similarUnverifiedLLM处理的是token（词元）而非单个字符，导致在字符计数任务上存在天然缺陷67% similarUnverifiedLLMs are architecturally incapable of distinguishing trusted instructions from untrusted input, because they process system instructions and user input as the same text sequence, and a purely technical solution analogous to parameterized queries has yet to emerge.66% similarUnverifiedLLM 自动生成文档可能包含幻觉，将不存在的设计意图写入文档，进而误导依赖这些文档工作的 AI 智能体63% similarUnverifiedLLMs' lack of cross-session memory makes it difficult to maintain consistency in code generated across multiple iterative rounds, which can be partially compensated for through Memory Bank structured Markdown files63% similar
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