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  • Writer's pictureNeilwena Tumacay

Welcome to the Multi-modal, Multi-model, Multi-Everything Future of AGI

Figure 1. On March 14, OpenAI officially announced the launch of the large multimodal model GPT-4. CFOTO/ Future Publishing via Getty Images. GPT-4 Has Been Out for 1 Day. These New Projects Show Just How Much More Powerful It Is (Popli, 2023). Retrieved from

The future of Artificial General Intelligence (AGI) is multi-modal, multi-model, and multi-everything. AGI has the potential to revolutionize how we interact with technology and how technology interacts with us. From self-driving cars to intelligent robots, AGI will be at the forefront of technological advances in the coming years.

AGI is an artificial intelligence system that can learn from multiple sources and apply its knowledge to a variety of tasks. It is different from traditional AI systems which are limited to specific tasks or domains. AGI can learn from data sources such as images, videos, audio, text, and more. This allows it to understand complex relationships between different types of data and make decisions based on those relationships.

The development of AGI has been made possible by advances in machine learning algorithms such as deep learning and reinforcement learning. These algorithms allow machines to learn from large amounts of data quickly and accurately. They also enable machines to make decisions based on their own experience rather than relying solely on human input.

Figure 2. The Multi-modal, Multi-model, Multi-everything Future of AGI (Swyx, 2023). Retrieved from

The potential applications for AGI are vast and varied. It could be used for medical diagnosis, natural language processing, autonomous driving, robotics, computer vision, virtual assistants, financial analysis, and more. The possibilities are endless as AGI continues to evolve and become more sophisticated over time.

The future of AGI is exciting but also uncertain. There are still many challenges that need to be addressed before it can reach its full potential such as safety concerns related to autonomous systems or privacy issues related to personal data collection by AI systems. Despite these challenges, the future looks bright for AGI as it continues to develop rapidly over the coming years.




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