Unverified50% confidenceFactExact time
The original model had three major shortcomings: it could only produce a few words at a time, had a single default persona that could not be changed via prompting, and completely lacked tool-calling ability.
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50%
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Long-term
Relevance
10/2/2026
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VerifiedWhen the model itself lacks the capability to understand a specific problem, no amount of prompt engineering can compensate for this deficiency71% similarUnverifiedExperiments found that a meta-model trained on word-level features could not predict which words should be removed, indicating that there is no targetable objective for fine-tuning stopword lists.71% similarUnverifiedOn regression tasks, the distilled bounded persona description fails to reach the performance level of retrieval.70% similarUnverifiedWhen early model capabilities were insufficient, large amounts of guiding prompts were needed, but those prompts in turn constrained the boundaries of the model's capabilities.70% similar
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