One could argue that we’re currently close to a huge technological revolution that will happen within the next 10 to 15 years. One that has slowly been accelerated in quiet research pockets of academia and startups before being finally introduced to the masses. Machine learning technology is rapidly advancing, especially in natural language text processing and text generation. For example, the GPT-2 model developed by OpenAI can now generate text based on seed text, which is virtually indistinguishable to human generated text, and which is not only syntactically and grammatically correct, but also conveys coherent content.
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These output mechanisms have been iteratively refined over many generations and the models have become much more reliable in producing output that is able to quantifiably extract meaning from source inputs.
But of course there can be inherent danger in unsupervised generative output, especially given social media platforms’ proclivity for promoting algorithmically generated misinformation and algorithmically promoted fake news.