Google DeepMind announced the merger of its AI models Gemini and Veo, promising significant changes in how AI interacts with the real world.
Reasons for Merging Gemini and Veo
During a discussion on the Possible podcast, Google DeepMind CEO Demis Hassabis shared an ambitious vision for creating a universal digital assistant. The primary goal is to create a multifunctional AI capable of aiding users in the real world. Merging the Gemini and Veo models addresses tasks such as enhanced understanding of the physical world and developing context-aware support.
Veo’s Potential Using YouTube Data
According to Hassabis, Veo’s ability to understand the physical world stems from the vast video data of YouTube. This platform provides the necessary resources for training AI models. Given the scale of data usage, Google acknowledges the importance of aligning with content creators for the ethical use of this information.
Impact on the Future of AI and Cryptocurrency
While the immediate impact on the cryptocurrency world may not be direct, the advancements in AI models like Gemini and Veo can lead to smarter applications and new possibilities across various sectors. More sophisticated AI models could drive efficiency gains in industries, including cryptocurrencies, opening new horizons for data analysis and enhancing blockchain security.
The integration of Gemini and Veo represents a significant development in the field of AI, emphasizing the focus on multifunctional capabilities and access to large datasets. These advancements open new perspectives and opportunities for the future.
