Ming Qah, co -founder of Lazai, believes the rapprochement of artificial intelligence and Blockchain Data privacy, models training, and artificial intelligence development will be reshaped.
In a conversation with thestreeet Round table Malak Albaw hosted at Taken2049, GUO shared his vision of the decentralized prosecution, highlighting the importance of small and effective language models and how Lazai addresses the challenges of central artificial intelligence systems.
Lazay, no central Amnesty International The platform was founded in 2023 by Ming Guo, a Blockchain team and artificial intelligence researchers. The company focuses on building small and effective language models supported by the data owned by the user and decentralized infrastructure.
“The current situation of Amnesty International is very central,” said Qah. “The major companies dominate the space, and the smaller entities have a small or non -existent opportunity to participate in training models or use data in a meaningful way. We want to change that.”
The innovative approach of Lazai is rooted in Blockchain technology, ensuring that the data used in artificial intelligence training is not only transparent and safe, but also controlled by the individuals who generate it. By canceling centralization on both data ownership and artificial intelligence model, Lazai aims to create an ecosystem where smaller entities can play a pivotal role in forming artificial intelligence development.
At the heart of this transformation, there is a lattice use of data consolidation symbols (DATS) and individual decentralized institutions (IDAOS). These tools enable data providers and artificial intelligence developers to retain the control of their assets, ensuring the reward for contributions and developing artificial intelligence more comprehensive.
One of Lazai’s basic beliefs is that the future of artificial intelligence lies in the smaller and most efficient models. “In the traditional model, we see huge and central models that require large resources,” he pointed out. “The decentralized model that we develop is smaller players to enter the game, allowing a wide range of participants to contribute to training artificial intelligence and development.”
These smaller models can be trained by smaller entities, using decentralized infrastructure instead of central data centers. This allows Lazai to ensure data privacy, maintain control, and give users – not large companies – ownership of their data.
GUO has also emphasized the decisive role of Blockchain in ensuring that the data used in artificial intelligence training is safe and verified. “Blockchain brings transparency to the process,” explained. “Each part of the data used to train artificial intelligence models can be tracked, ensuring that they are used with appropriate permission and support.”
