Expired50% confidenceOpinionExact time
ChatGPT outperforms other models in following complex instruction sets, while other models may skip steps or independently judge certain requirements as unimportant when faced with lengthy instructions.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
How to Choose Among 10 AI Tools? A Practical Guide Organized by Use Case
bilibili中山龙阿介6/21/2026
Related Claims
UnverifiedCurrent model instruction-following failures commonly manifest as ignoring system prompt constraints, forgetting early instructions in long conversations, randomly violating formatted output requirements, and deviating from predefined processes in multi-step tasks.66% similarUnverifiedIn long contexts, models are more easily influenced by the most recent few turns of conversation rather than the system prompt set at the beginning, a phenomenon known as instruction-following decay.66% similarUnverifiedLocal small models still struggle to match GPT-4-level cloud services on complex reasoning and long-chain tasks.65% similarUnverifiedPrompt engineering has inherent limitations: the effectiveness of instructions decays over conversation turns (instruction forgetting), and different model versions respond significantly differently to the same instruction.65% similarUnverifiedLightweight/accelerated models often make trade-offs in the completion of complex tasks while pursuing response speed, making them unsuitable for complex programming tasks involving multi-step, cross-file collaboration.64% similar
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