The author questions the collaboration model where a weak model designs and a strong model acts as advisor, arguing that the weak model may design poorly, be overconfident, or lack confidence, rendering the advisor mode ineffective. They suggest instead having the strong model design, the weak model execute, and the strong model review, claiming this is more cost-effective.
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In AI model collaboration, should a weak model design and a strong model advise, or a strong model design and a weak model execute? A discussion on efficiency and cost-effectiveness.
Baoyu raised a question on X: if a weaker model designs and a smarter model acts as an advisor, three problems may arise: poor design, not asking the right questions; the model being too arrogant to consult; or the model lacking confidence and over-consulting. These can render the advisor mode ineffective.
He suggests the reverse: let the smart model design, the weaker model execute, and the smart model accept. He believes this is the most cost-effective combination.
User William responded that he tried weak model execution, and the main model had to spend a lot of time fixing the results, consuming time and tokens. This supports the view that the strong model design + weak model execution mode may be inefficient.
User Xuanshuai stated that he chooses a logic similar to human division of labor: smarter models handle design and acceptance, while cheaper, slightly inferior models with skills handle execution, balancing good results and low cost.
User Tz_2022 believes this may be the best AI collaboration logic at the current stage.
User Rockeymen suggested waiting another year, and weak models will become smart, implying that current issues may naturally resolve with technological progress.
The current discussion is based on personal experience and opinions, lacking systematic experimental data. The optimal mode may vary across different scenarios.
This analysis is based on personal opinions and discussions on platform X, not systematic research or official conclusions. All claims are source statements or inferences and should be treated with caution.
There is no consensus on AI collaboration modes yet. The strong model design + weak model execution + strong model acceptance mode is considered superior by some, but practical feedback shows weak model execution may incur additional costs. Future model capability improvements may change the landscape.
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