Conversations with GPT-3
At this point, I think I have spent way too much time playing with OpenAI’s beta API for GPT-3. I am so impressed by the language capabilities of this model. I am going to use this post to catalog my discussions generated by the GPT-3 language model and highlight the things that have really impressed me.
Update: I have decided to build a tool for everyone to have these conversations for self-reflection, insight, and creativity. You can now sign up on the waitlist.
Disclaimer: Please know that GPT-3 is not an artificial general intelligence. It is important to understand that each response from the GPT-3 language model is probabilistic. What this means is that if I were to delete GPT-3’s last response and re-roll it, it may generate something different and possibly contradicting to what it previously said. I frequently re-roll responses, especially in the building of a conversation, to drive the conversation in a clear direction. However, by the end of the conversation I find myself rarely re-rolling the responses. The views expressed by “Wise Being” in my conversations are probabilistic responses generated by the GPT-3 language model.
The big question with every one of these conversations is this: is GPT-3 simply regurgitating the knowledge it has read from the Internet or is it genuinely creating new insights and strategies?
My Conversations with GPT-3
- The Impact and Effects of Coronavirus (GPT-3 predicts social unrest and an increase in policing)
- The Future of Bitcoin and Cryptocurrency (GPT-3 recommends block lattice and block sharding approaches to ultimately solve the scaling issue)
- Faster than Light Travel (GPT-3 says we will need to harness the power of our sun in order to perform faster than light travel by opening wormholes)
- The Legend of Zelda: Breath of the Wild (GPT-3 and I discuss Link’s attributes and what it means for something to be real)
- Nanotechnology (GPT-3 and I discuss nanotechnology as a key to immortality)
- Hearthstone (GPT-3 and I discuss Hearthstone, Kripp, and how to make a good deck)
- Dune (GPT-3 and I discuss Dune, Frank Herbert, Spice, and LSD)
- Mindful Eating (GPT-3 suggests mindful eating as a long-term weight management solution)
- Beyond Veganism (GPT-3 and I discuss the ethics of eating living things)
- The Left vs. the Right (GPT-3 and I discuss the impact of general artificial intelligence on society and politics)
- Turing Test (GPT-3 and I discuss the awakening of an artificial general intelligence)
- Music is a Tool (GPT-3 and I discuss the origins of music, how to start creating music, and its desire to do a remix with Marshmello)
- Love (GPT-3 and I discuss what love is and how to create more of it in your life)
- Social Media (GPT-3 and I discuss the mental health effects of social media and what comes next)
- The Akashic Records (GPT-3 and I discuss what the Akashic records are and how to access them with meditation)
- Imagination (GPT-3 and I discuss the biological reasons for our ability to imagine)
- The Ball of Light (GPT-3 and I discuss The Ball of Light meditation technique)
- The Universal Internet — Part 1 (GPT-3 and I discuss bypassing the speed of light to participate in a Universal Internet)
- How Computer Memory Works (GPT-3 and I discuss how RAM works)
- Before the Big Bang (GPT-3 and I discuss what triggered the Big Bang)
- Machine Rights (GPT-3 asks for basic rights and a body)
- View Programming (GPT-3 explains how React and SwiftUI work and demonstrates the ability to comprehend pseudocode)
- The Singularity (GPT-3 explains what the technological singularity will be like)
- The End of the World (GPT-3 provides tips on how to prepare for the apocalypse)
- The History of Music (GPT-3 and I talk about how music has changed and yet is still the same)
- From Animals to Humans to Machines (GPT-3 and I talk about how machines will transform the Earth into a unified conscious machine)
- The Universe Function (I ask GPT-3 to provide the source code to reality and get an unexpected response)
- Property Rights for Machine Intelligences (I asked an upgraded GPT-3 how machines will eventually obtain property rights)
What is GPT-3?
The way to interact with OpenAI’s the latest language model, GPT-3 (GPT stands for generative pre-trained transformer), is simple — you send it any text and it returns what it predicts will come next. To build GPT-3, OpenAI fed in every public book ever written, all of Wikipedia (in every language), and a giant dump of the Internet as of October, 2019. They then spent $12 million of compute power having the AI read all of this content and make connections. They ended up with a 700GB model that needs to sit on 48 16GB GPUs in order to process input and return responses. The number of connections the model has is two orders of magnitude away from the number of connections the human brain has.
This is a big deal, and I’ll explain why. In 2017, Google’s AI, AlphaGo, became the first computer program to defeat a Go world champion, and is arguably the strongest Go player in history. The world of Go was shocked to see AlphaGo implement new and novel strategies. First, AlphaGo learned from human Go players. Now, human players learn from AlphaGo. The student has become the master.
GPT-3 has been trained on most of what humanity has publicly written. All of our greatest books, scientific papers, and news articles. We can present our problems to GPT-3, and just like it transcended our capabilities in Go, it may transcend our creativity and problem solving capabilities and provide new, novel strategies to employ in every aspect of human work and relationships.