High Market-Share Models Tend to Hallucinate More Due to Cost Constraints, with Free GPT Models as an Example
English summary
A commentary claims that models with the largest market share are more prone to hallucination because cost pressures limit investment in measures to reduce false outputs. It notes that abroad, many users rely on free GPT models and consequently obtain responses with very high hallucination rates, attributing this to the cost-driven design of freely available models.
Chinese summary
一条评论指出，市场份额越大的模型越容易出现幻觉，原因是成本压力限制了减少错误输出的投入。文中以海外大量用户使用免费GPT模型后获得高幻觉率结果为例，认为这是免费模型受成本制约的设计所致。
Key points
The post asserts that models with higher market share hallucinate more due to cost constraints.
帖子声称市场份额越大的模型，因成本限制幻觉越严重。
It cites the example of free GPT models used abroad, where users get highly hallucinated results.
以海外用户使用免费GPT模型时得到高幻觉结果为例说明。
The claim links hallucination rate directly to the economic decisions behind model deployment, not inherent model capability.
将幻觉率归因于模型部署背后的经济决策，而非模型本身能力。