Unverified50% confidenceOpinionExact time
大模型本身只是语言引擎，其能力边界取决于接入了多少工具
1
Sources
50%
Confidence
Long-term
Relevance
7/12/2026
First Seen
Sources
AI + Automated Testing: Building an Engine-Agnostic Quality System with Skill + CLI
bilibili黑马测试人7/9/2026
Related Claims
Partially VerifiedLarge language models not only understand programming language syntax but have also mastered a large number of design patterns, best practices, and common problem-solving approaches.77% similarUnverifiedCurrent large language models lack an inherent ability to distinguish the source and authority level of information when processing all input within the same context window.74% similarUnverifiedLarge language models are architecturally incapable of strictly distinguishing between system instructions and user data, which is a fundamental flaw at the architectural level.74% similarUnverifiedTraditional interfaces are designed for programs and lack the semantic context required by large models; large models need tool wrappers with natural language semantic descriptions to invoke them correctly.74% similarUnverifiedAfter large language models exceed a critical scale, new capabilities that were not explicitly taught during the training phase emerge, such as multi-step reasoning, cross-lingual analogy, and tool-use planning.72% similar
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