ChatGPT Revolution
ChatGPT/GPT-3 is a revolutionary and transformative technology. We can no longer be certain whether a given social media post [like this one!], artwork, song, or celebrity was created by a human or an AI prompt. Whatever happens to ChatGPT/OpenAI, an explosion of competing language models and rapid progress is guaranteed.
If you're skeptical because you've seen the limitations of ChatGPT, remember that it operates on a static training set and is currently unable to access live data, plan, or solve logical problems. Future revisions will incorporate live data sources, add logical problem-solving skills from sources like Wolfram Alpha, and increase the training set size by several magnitudes. They will be able to learn from smaller data sets, allowing them to become domain experts in specialized fields, like the book, app, screenplay, or designs you create. Furthermore, advancements in human-computer interaction, such as voice and camera input and augmented reality output, will significantly enhance the usability of GPT-3/ChatGPT.
The essential leap of GPT-3/ChatGPT is using neural network architecture and large-scale data to approximate a wide range of human abilities. Perhaps this is because human intelligence and self-awareness are emergent properties of our capacity for language. The key difference is that the human brain is hierarchical, with specialized regions dedicated to processing raw input and regions dedicated to abstract representation. Upcoming generations of AI will develop this kind of specialization, improving on the limited interface and logical limitations of current models. I'm very excited about the progress we'll see in the next decade.