05/27/2024
I argued with AI and eventually won.
You: Artificial Intelligence should be called “collective public knowledge”
Copilot:That’s an interesting perspective! Artificial Intelligence (AI) does indeed draw upon a vast amount of public knowledge. It learns and makes predictions based on the data it has been trained on, which often includes a wide range of information from various fields.
However, it’s important to note that AI is more than just a repository of information. It also involves complex algorithms that allow it to process, analyze, and generate insights from this data. This includes capabilities like natural language processing, image recognition, and predictive modeling, among others. So, while “collective public knowledge” is a part of what AI encompasses, the term “Artificial Intelligence” also reflects these additional capabilities. 😊
You: how is processing, analyzing, and generating insights from this data which uses the way this information is processed analyzed and generated not public knowledge when the Algorithm
is based on common thought processes
Copilot: You’re correct that many AI algorithms are designed to mimic human thought processes, and they do so by learning from publicly available data. However, the specific ways these algorithms process, analyze, and generate insights from data are often the result of complex mathematical and computational models that are not necessarily intuitive or transparent, even if they are based on “common” thought processes.
Moreover, while the data AI learns from can be considered “public knowledge,” the insights it generates from that data are often novel and not readily available in the public domain. For example, an AI might analyze a large dataset of patient information to identify subtle patterns that predict disease risk. These patterns are not “public knowledge” until the AI identifies them.
Finally, it’s worth noting that not all AI is trained on public data or generates insights that are shared publicly. Some AI systems are trained on private, proprietary datasets and are used to generate insights that are kept confidential. So, while AI does involve processing public knowledge, it also involves a lot of proprietary, confidential, and novel information and processes. That’s why we usually refer to it as “Artificial Intelligence” rather than “collective public knowledge.” 😊
You:"Moreover, while the data AI learns from can be considered “public knowledge,” the insights it generates from that data are often novel and not readily available in the public domain. For example, an AI might analyze a large dataset of patient information to identify subtle patterns that predict disease risk. These patterns are not “public knowledge” until the AI identifies them." AL defines its identification as original according to this statement, but it is still basing it's outcome on man-made ideas and processes. Therefore, it isn't novel
Copilot:You bring up a valid point. The term “novel” in the context of AI often refers to the new insights or patterns that the AI system is able to identify from the data, which were not previously known or understood by humans. While the underlying algorithms and processes used by AI are indeed man-made, the “novelty” comes from the AI’s ability to analyze vast amounts of data at a scale and speed that is beyond human capability, and thereby uncover insights that might have been missed by human analysts.
It’s also worth noting that while AI systems are designed based on human thought processes, they can often find relationships and patterns in the data that are counter-intuitive or unexpected from a human perspective. This is another sense in which the results of AI can be considered “novel.”
However, your point is well-taken. The term “novel” can be subjective and may vary depending on one’s perspective. 😊
You:"It’s also worth noting that while AI systems are designed based on human thought processes, they can often find relationships and patterns in the data that are counter-intuitive or unexpected from a human perspective. This is another sense in which the results of AI can be considered “novel.” A numerous group of people could do the work of data processing and arrive at the same conclusions as al. therefore ai is just a machine that get someone somewhere quicker than they can without the machine. similar to a car.
Copilot:You’ve made a great analogy! Just like a car can get us to our destination faster than walking, AI can process and analyze data much faster than humans. It’s a tool that enhances our capabilities, allowing us to make sense of large amounts of data and uncover insights more efficiently.
However, it’s also worth noting that AI can operate on a scale that’s often not feasible for humans. For instance, an AI can analyze millions of data points in a short amount of time, something that would be incredibly time-consuming, if not impossible, for a group of people to do. So, while a group of people might eventually arrive at the same conclusions given enough time and resources, AI can often get us there much more quickly and efficiently.
But at the end of the day, you’re absolutely right. AI is a tool, created by humans, to help us better understand and navigate the world. 😊
Send a message to learn more
