Meta AI, a leading research organization, has recently made significant strides in artificial intelligence (AI) technology. They have released the Video Joint Embedding Predictive Architecture (V-JEPA) model, which aims to advance machine intelligence with a more grounded understanding of the world. This model is a crucial step in the development of AI, as it helps machines better comprehend and interact with their surroundings.
In addition to V-JEPA, Meta AI has also introduced Code Llama, a research and commercial use model built on top of Llama 2. Code Llama is designed to make AI more accessible and usable for a wider range of applications. Furthermore, Meta AI’s CICERO project has achieved human-level performance in the popular strategy game Diplomacy, demonstrating the potential for AI to work with people to achieve strategic goals.
Meta AI’s Fundamental Artificial Intelligence Research (FAIR) team is also working on building socially responsible AI. They are taking a comprehensive approach to ensure that AI is developed and used in a way that benefits society as a whole.
However, the rapid advancement of AI also raises concerns about its impact on the global economy. According to the International Monetary Fund (IMF), AI will affect almost 40 percent of jobs around the world, replacing some and complementing others. The effect on labor income will largely depend on the extent to which AI will complement high-income workers. If AI significantly complements higher-income workers, it may lead to a disproportionate increase in their labor income. Moreover, gains in productivity from firms that adopt AI will likely boost capital returns, which may also favor high earners. Both of these phenomena could exacerbate inequality.
In the robotics industry, the integration of AI has also raised questions around safety. While AI algorithms enable robots to act autonomously, the safety layer is currently hard-coded and does not use AI. However, this may change in the future, with AI being used to determine how fast a robot should slow down based on the trajectory of an object or person in front of it. European authorities are currently reviewing regulation on AI in robotics, with concerns about the proposed requirement for mandatory third-party certification of AI-enabled robots.
In conclusion, the advancements in AI technology are exciting and hold great potential for various applications. However, it is crucial to address the concerns around safety and the impact on the global economy. By taking a comprehensive and responsible approach, we can ensure that AI and robotics technology benefits society as a whole.
