How does a swarm promote autonomous AI?
Autonomous AI is an artificial intelligence system that can work on its own, without humans. It can understand its surroundings and make decisions accordingly. For example, a self-driving car, which can run without a driver. It can see things coming in its way and follow traffic rules. A robot that works in a factory can pick up, pack and place goods at another place without any human help.
AI agents in a swarm work in coordination with each other, like a team. This gives autonomous AI systems the ability to perform more complex tasks. Although AI agents in a swarm work on their own, developers also have ways to control them. This is important so that AI systems remain safe and reliable.
Can swarms work without autonomous AI?
Open AI swarms are primarily designed to work with autonomous AI agents. However, it is not necessary that all agents in a swarm are completely autonomous. Developers in a swarm can design AI agents in different ways. Some agents can be completely autonomous, while some agents can follow the instructions of humans or ask for some information from humans.
Understand by example - There is an AI agent in a swarm that answers customers' questions. This agent can be completely autonomous and can answer most of the questions on its own. But if a question is very difficult, then this agent can 'hand off' that question to a human. In this way, autonomous and non-autonomous AI agents can work together in a swarm.
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