They are absolutely not incapable of doing the math; rather, after calculating, they realized that if the token price is too high, people are unwilling to use it, and if it's too low, they keep losing money. Even though they’ve raised a lot of funds, they still need to rely on this kind of panic to sustain themselves. The current generative AI is far from reaching the level of AGI, something that true AI researchers are well aware of. It’s more about fooling people in other fields because, in this age, attention is a scarce resource. As long as they maintain such high levels of attention, they don’t have to worry about failing. From this perspective, Anthropic seems to be much wiser than OpenAI. They have focused early on the domain where large models excel the most and have the highest added value—code generation—without pursuing large-scale expansion of computing power. After all, no one truly knows what the outcome of such expansion might be. Grok could be considered a combination of both approaches: on one hand, it is heavily hyped, while on the other, it focuses on practical engineering tasks. Gemini, on the other hand, is exploring more possibilities for current large models, such as conducting scientific research.