Help translate the establishment of KIP in Singapore, which has traveled across the ocean to meet Milei in Argentina.

In fact, many project teams have been endlessly competing in North America and East Asia, while the Latin American market holds great potential. By investing a significant amount of money to establish AI education grants in South American campuses, they can secure the future developers in the region and ultimately capture the local future market.

Some AI projects emphasize hardware and compete in the fiercely competitive red ocean market, which can only lead to tough battles. In contrast, if you approach it from the right perspective, things could become much easier.

Many people are optimistic about AI but often don't know how to get involved. After all, giants like OpenAI and Google are looming large. Just imagine, if you were to compete with them in hardware, the pressure would be immense.

However, if you look closely, the barriers created by these giants are essentially based on vast amounts of data. If you want ordinary developers to share in the pie, you must find a way to penetrate the traditional giants' moats and ensure data rights from the very beginning to increase your chances of success.

Therefore, an approach like KIP's, which starts from data rights, engages with ordinary developers, and targets emerging markets, might be a good strategy.

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