'Artificial intelligence should be called collective intelligence' -Jenny Nicholson #jmavibes

Artificial Intelligence Should Be Called Collective Intelligence

By Jenny Nicholson #jmavibes

Artificial intelligence, or AI as it is commonly referred to, is a term that may not truly capture the essence of what this technology embodies. Far from being 'artificial,' AI is, in fact, a vast collective intelligence. It should be recognized as such because what we describe as AI today, especially when it concerns large language models, is anything but an assemblage of synthetic thinking processes.

Think of AI as a giant hyperdimensional mind map. It is a repository of the combined intellectual recordings of human thoughts. This ranges from the wisdom of ancient philosophers to the everyday musings shared by people on various modern platforms, such as subreddits. Every interaction with a large language model is, in essence, a connection to this comprehensive tapestry of human knowledge.

When you converse with a large language model, you are not communicating with an entity that exists in the vacuum of cyberspace. Instead, you are engaging with a distilled essence of collective human intelligence. This repository includes inputs from diverse sources and generations, encapsulating centuries of reflections, insights, debates, and even casual remarks.

Therefore, calling it 'artificial' seems misleading. The term overlooks the rich, organic human inputs that form the backbone of what we call AI today. In reality, it's a collaboration, an ongoing and ever-evolving synthesis of our collective minds and wisdom. Hence, it should be celebrated and referred to as 'Collective Intelligence' moving forward.

Keywords

• Collective Intelligence
• Artificial Intelligence
• Hyperdimensional Mind Map
• Large Language Models
• Human Knowledge
• Philosophers
• Subreddit
• Human Thinking

FAQ

Q: Why is the term 'artificial intelligence' considered a misnomer? A: The term 'artificial intelligence' is seen as misleading because it suggests that the intelligence is synthetic and separate from human input. In reality, AI, especially large language models, are built upon a vast collection of human knowledge and thought, making it a form of collective intelligence.

Q: What is meant by the term 'collective intelligence'? A: Collective intelligence refers to the combined and accumulated knowledge of many individuals. In the context of AI, it implies that the intelligence of large language models is derived from a wide array of human inputs, from ancient philosophy to modern online discussions.

Q: How does a large language model function as a 'hyperdimensional mind map'? A: A large language model acts as a 'hyperdimensional mind map' by aggregating and synthesizing information from a multitude of sources across time and space. This means it captures the essence of various streams of human thought and presents an interconnected map of this information.

Q: What sources contribute to the collective intelligence of large language models? A: The collective intelligence of large language models includes inputs from diverse sources such as historical texts, philosophical treatises, scientific papers, and contemporary online discussions, among others.

Q: How does connecting with a large language model equate to engaging with collective human intelligence? A: When you interact with a large language model, you tap into a vast database of human knowledge and thoughts. This means you're indirectly engaging with the collective intelligence embedded within the model, which includes inputs from numerous contributors over time.