AI Is Not Going To Replace Writers Anytime Soon – But The Future Might Be Closer Than You Think
AI is doing a lot to help streamline content marketing and management for companies across the board. You can get things researched, prepped, edited, and published in minutes (as opposed to days or weeks).
The problem is that while AI can automate time-consuming publishing tasks and help predict what people want to read, it can't really write that well – yet.
Today, AI still relies heavily on stringing together concepts or facts into some semi-coherent ramble, but it can't massage the phrasing or other intangibles that get customers to stand up and take notice.
AI’s underlying technologies in the area of content creation currently include Microsoft’s Turing Natural Language Generation (T-NLG) – boasting 17 billion parameters – and OpenAI’s Generative Pre-trained Transformer 3 technology (GPT-3), which has 175 billion machine learning parameters.
In September 2020, Microsoft announced it had licensed access to GPT-3’s technology for its ‘exclusive’ use, which offers a clue as to where this fast-growing industry is heading.
In this interview, Wordable CEO and Founder & CEO of Codeless, Brad Smith outlines AI’s current limitations for content creation, tells us how best to leverage its capabilities, and looks at where we are headed in the not-too-distant future.
Key problems with content AI todayarbage in. Garbage out.
Smith says the biggest problem with AI right now is its overreliance on patterns and the probability of certain words or phrases showing up next to each other when you reference certain topics.