AI’s contribution to the Writing Industry

Bot V/S Human Writing

Technological advances in Machine Learning in recent years have resulted in AIs that can write for your company/niche. It is a whole different story that you, as a writer, have soft skills whereas it marks equally important to train the AI on soft skills so it can ideally write content that matches human comprehension. Scientists have varying ideas about how humans acquire spoken language skills. Many favours an evolutionary, biological data for our verbal abilities but certainly agree that we learn language largely from listening and comprehending by processing it in our brain’s cerebrum. Writing is unquestionably a learned skill, not an instinct hence it takes time to make a bot write on your taste/choice of topic. It has to be a process of constant relearning and unlearning.

Artificial Intelligence and Machine Learning

AI is math. And lots of Math. AI is research-oriented, and ML is a form of technology within that field. An ML-based algorithm parses a set of data, finds patterns, then makes predictions about new data, based on what it learned. In layman terms, it gets better by what it has been fed just like a toddler.

For writing, the easiest way to see this in action is when a smartphone’s autocorrect picks up patterns in the words you input and predicts the upcoming word in that phrase.

That is purely based on your( User’s) behavioural pattern. This, of course, is not the same as writing, and it can sometimes come off as unhelpful or insensible.

Asking the time or getting directions can both be thought of as question-answering tasks that involve predicting text so, hypothetically, if you train a good enough question-answering model, it can potentially do anything for you. Predicting text would otherwise be a tedious task that would solve a lot of problems if used correctly.

OpenAI

OpenAI began in 2015, as a nonprofit founded by Brockman, formerly the C.T.O. of the payment startup Stripe; Elon Musk, of Tesla; Sam Altman, of Y Combinator; and Ilya Sutskever, who left Google Brain to become OpenAI’s chief scientist.

OpenAI says it will need to invest billions of dollars in the coming years. The measure is growing even faster than the rate suggested by Moore’s Law, which states that the processing power of computers doubles every two years.

You can read over 50 Years of Moore’s Law here: Intel on 50 Years of Moore’s Law

PS: Take a look at TensorFlow, an open-source machine learning library for individuals, companies, nonprofits, researchers and developers to work with ML.