The article discusses the evolving role of AI in decision-making, highlighting the balance between using AI agents for convenience and retaining personal control. It emphasizes that while AI technology is becoming more prevalent, many individuals and businesses still seek autonomy in critical choices. Traditional AI models have limitations due to their finite training data, necessitating fine-tuning for specific professional domains. Ultimately, both AI agents and human decision-making are valid and complementary in identifying the best options according to individual preferences and situations.
In the future, many of our decisions will be handled by agents, or at least heavily informed by them, while we retain decision-making power in areas we value.
The traditional models of AI have limitations due to being trained on finite data, restricting their ability to solve diverse problems and making fine-tuning essential.
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