Tag: Shannon entropy

The universe within. Silhouette of a man inside the universe. The concept on scientific and philosophical topics. Elements of this image furnished by NASA.

^{Type
post

Author
Eric Holloway
Date
February 12, 2024

Categorized
Information Theory, Philosophy of Mind

Tagged
Artificial Intelligence, Delorean time machine, Mind (as bigger than universe), Robert J. Marks, Shannon entropy}

Is Your Mind Bigger Than the Universe? Well, Look At It This Way…

_{Surprisingly, there is a way to measure the mind that shows it IS bigger than the universe — information} _{Eric Holloway

February 12, 2024

4

Information Theory, Philosophy of Mind}

Imagine you’re sitting at home, relaxing in your favorite easy chair. Go on, kick your legs up. Feel your limbs releasing the stress of the day, starting from the extremities, and progressing up your core to your head. Now, let your mind expand. Let go of what is holding your mind down. Feel it become free, outside of everything around it. Let the feeling continue until your mind is bigger than the universe. Now consider the question: if your mind is bigger than the universe, can it be within the universe? If a ball is bigger than a bag, can it be contained by the bag? Of course not. If the mind is bigger than the universe, then it must Read More ›

Artificial intelligence, robot thinking about world, looking at the city. Futuristic concept.

^{Type
post

Author
Eric Holloway
Date
June 21, 2023

Categorized
Artificial Intelligence

Tagged
AI, AI and creativity, Big Tech, ChatGPT, Eric Holloway, Human creativity, Human exceptionalism, Information Theory, New Information, Shannon entropy, Silicon Valley, Technological singularity}

Can AI Create its Own Information?

_{The simple answer is "no," but why? Eric Holloway explains} _{Eric Holloway

June 21, 2023

2

Artificial Intelligence}

AI is amazing. It is all the rage these days. Companies everywhere are jumping on the AI bandwagon. No one wants to be left behind when true believers are raptured to the mainframe in the sky. What makes the AI work? The AI works because of information it gained from a human generated dataset. Let’s label the dataset D. We can measure the information in the dataset with Shannon entropy. Represent the information with H(D). When we train an AI with this data, we are applying a mathematical function to the dataset. This function is the training algorithm. Labelling the training algorithm T, then we represent training as T(D). The outcome of training is a new AI model. The model generates new data. We Read More ›