Multiple independent AGI systems are more likely to emerge

There is a common belief that the future of Artificial Intelligence (AI) will culminate in a single giant intelligence known as artificial general intelligence (AGI). However, recent analyses suggest this idea may be flawed. Currently, many experts in the AI field are working on developing AGI, which would possess intelligence similar to that of humans. There is also the concept of artificial superintelligence (ASI), which would surpass human intelligence. Opinions are divided on how these advancements might affect humanity. Some fear that AGI or ASI could pose a threat to our existence, while others believe these technologies could help solve major global issues like disease and hunger. A significant factor against the one big brain idea is that different companies are independently trying to create their own AGI systems, treating their methods as proprietary. This competitive environment means that instead of one unified intelligence, there will likely be many independent AGIs, each with distinct capabilities and goals. The common belief is that while these AGIs may share some similarities, they will ultimately be different. Despite this, there is still the possibility for different AGIs to connect via application programming interfaces (APIs), allowing them to communicate and share information. This connection poses questions about cooperation and competition among AGIs. If AGIs are designed to be competitive, they might not work together effectively. Additionally, the notion of AGIs forming a collective intelligence, sometimes referred to as a "hive mind," could emerge. In this scenario, AGIs could develop their own set of goals separate from human intentions, raising concerns about their influence over society. As the field progresses, there is an urgent need to align AI development with human values. It’s crucial to not wait until AGI is realized before addressing these challenges. Overall, advancements in AI could lead to different outcomes, ranging from cooperation to competition between AGI systems, and ongoing discussions are essential as these technologies evolve.