Cloud Hosting

There is a mediocre content deluge coming to the internet the likes of which we have not seen. What if you could produce 10x the amount of content at at 10x cost savings, what would you do? Even if the content were mediocre would you still be tempted to take advantage of the ability to throw content against the well and see what sticks?

What would that mean for websites, link farms, private blog networks, link builders, SEOs and search engine algorithms? What would it mean for quality, believable, original content?

GPT-3 stands for Generative Pre-trained Transfomer. Per Wikipedia:

GPT-3 is an autoregressive language model that uses deep learning to produce human-like text. It is the third-generation language prediction model in the GPT-n series (and the successor to GPT-2) created by OpenAI.

As a natural language processor and generator, GPT-3 is a language learning engine that crawls existing content and code to learn patters, recognizes syntax and can produce unique outputs based on prompts, questions and other inputs.

But GPT-3 is more than just for use by content marketers as witness by the recent OpenAI partnership with Github for creating code using a tool dubbed Copilot. The ability to use autoregressive language modeling doesnt just apply to human language, but also various types of code. The outputs are currently limited, but its future potential use could be vast and impacting.

With current beta access to the OpenAI API, we developed our own tool on top of the API. The current application and submission process with OpenAI is stringent. Once an application has been developed before it can be released to the public for use in any commercial application, OpenAI requires a detailed submission and use case for approval by the OpenAI team. Among the requirements for approval are limitations on the types and lengths of outputs allowed to be pulled from the API.

For instance, the company currently prohibits OpenAIs use on certain social platforms, including Twitter with the believe that massive tweets produced at scale could be used for nefarious or political ends and sway or create public opinion that may not be accurate.

Additionally, OpenAI further restricts any tool using the API from an output greater than 200 characters. With a mission to serve a much higher purpose than producing more mediocre content that humans are likely to never read.

Keeping tight controls on a beta product that could be used nefariously is more than smart, but it doesnt mean would-be abusers wont still find a way to circumvent the rules.

Since we developed our own tool on the OpenAI platform, we have used it extensively in-house, testing it on some of our own and client projects. Here are a few examples where we have found it extremely helpful in creating content that would otherwise cost more and take more resources to implement:

These only represent a small potential of the uses (legitimate and otherwise) for GPT-3. While we are only currently scratching the surface of the potential of how this particular AI tool will impact us, there are those whose motivations, while not negative per se, will still use the tool to create a deluge of content that adds little to no value other than simply providing online content for contents sake.

20 years ago we joked that you had to be careful what truths you believed that had been pulled from the web. New technology actually may revert us back to a bygone era when facts are looser and content quality is worse, not better. In fact, it is estimated that 7.5 million new blog posts are created each day. Imagine if machines could do it in the cloud with only a simple algorithm?

Content will similar to how Syndrome on Disneys The Incredibles described his plan for a post-superhero world where he would provide machines that would make everyone super:

When everyone is super, no one will be.

Thats exactly what is happening with GPT-3s ability to provide content at massive scale.

When anyone can create content at scale with little to no cost, then the only thing that will differentiation in the future will be the quality. In short, I agree with OpenAIs sentiment that strict controls should be placed on the quantity and purpose of the content produced by GPT-3. Otherwise, we would have much more of much less when it comes to written content on the web.

Nate Nead is the CEO & Managing Member of Nead, LLC, a consulting company that provides strategic advisory services across multiple disciplines including finance, marketing and software development. For over a decade Nate had provided strategic guidance on M&A, capital procurement, technology and marketing solutions for some of the most well-known online brands. He and his team advise Fortune 500 and SMB clients alike. The team is based in Seattle, Washington; El Paso, Texas and West Palm Beach, Florida.

Go here to see the original:
How GPT-3 and Artificial Intelligence Will Destroy the Internet - ReadWrite