What Is GPT-3?

GPT-3 is an advanced version of GPT that can generate sentences and paragraphs. The machine has learned how to construct sentences from context clues, as well as sentence structure. This means it can produce complex sentences without human intervention (though you still need to tell it what words are important).

The system also learns about the meaning of words based on their usage in other texts, and can learn new meanings over time.

As with all artificial intelligence systems, GPT-3 isn’t perfect. There are still some bugs in the software that cause it to make mistakes when attempting to create believable text. For example, sometimes it will incorrectly assign a word like “dormant” to a sentence containing the word “alive”.

However, these errors aren’t enough to significantly affect your ability to understand what’s being said.

How Does GPT-3 Work?

Like most AI languages, GPT-3 uses a set of rules to determine what words are important and what words aren’t. These rules are similar to those used in natural language processing (NLP) software. However, instead of using a dictionary or phrasebook, the rules are made up entirely by the system itself.

In the same way a child learns to communicate with other humans and forms its own methods of understanding and expressing thoughts, GPT-3 has learned to communicate with machines.

While you can’t yet have a meaningful conversation with GPT-3, it’s getting closer to human levels of communication every day. Within the next few years, OpenAI hopes to create a version of GPT-3 with common sense reasoning that can form complete, complex sentences.

How Is GPT-3 Used?

GPT-3 is used to create large amounts of written content in a wide range of fields. The most commonly used option is to have the system create blog posts and product descriptions for ecommerce websites.

For example, a clothing store could use GPT-3 to automatically create product pages filled with relevant keywords and copy.

GPT-3 is also used by organizations that need to produce large quantities of “evergreen” content for the web. That includes sites like TMZ, Gawker, and TechCrunch that produce a high volume of entertainment news stories on a daily basis.

GPT-3 can also be used to create automatic subtitles for online videos and TV shows. The software has already been licensed by Netflix, where it’s being used to provide captions forvideos in Arabic, Bulgarian, and Latin American Spanish.

Is GPT-3 Safe?

There are fears, as outlined by AI researcher Richard Evans, that GPT-3 could be used to manipulate people into doing things they otherwise wouldn’t do, like vote for a certain politician.

For instance, an attacker could use GPT-3 to write fake news stories that are highly convincing. It’s easy to imagine these stories having a major impact on elections and other political events with high levels of public participation.

In response to this concern, OpenAI has stated that it plans to integrate a “sane-check” system into future versions of GPT-3. This will prevent GPT-3 from creating messages that are likely to result in physical harm to the reader or damage to external systems or infrastructure (e.g. aircraft controls).

Testing GPT-3 for Content Creation

A renowned Los Angles SEO company, Egochi recently tested GPT-3 for their inhouse content creation needs and here is what the company is saying about the results achieved.

We tested GPT-3 against experienced human writers and every time human writers won, the main reason behind this was the lack of common sense in the GPT-3 model and the lack of understanding human emotions.

Don’t get us wrong, GPT-3 is definitely powerful and is capable of creating some really impressive content pieces however when it comes to focusing on certain topic, it lacks the power to hold readers through it’s content, however a human writer would be able to grab the focus of the reader by adding emotion and realistic scenario driven content.

Here is an example of a GPT-3 generated article:

We tested the GPT-3 on multiple grounds and niches however it could not just do the job that the clients or the SEO industry expects.

Our conclusion, though it was fun to experiment with AI however to achieve the targets we would stick with experienced human writers.

Conclusion,

The AI revolution is coming whether we like it or not. Thanks to OpenAI’s latest invention, the content writing industry is going to see some big changes in the years ahead.

As a content writer, you may have a lot of concerns about your future prospects. Will GPT-3 replace you? Is the 4-Hour Workweek dead? Should you go back to college and take up a more stable career path?

Probably not. The thing to remember is that while GPT-3 can produce massive quantities of content, it still can’t come up with the ideas or the product descriptions. It can only write about things; it can’t write about how you feel about those things.

Your personal writing style, honed over years of practice, is still one of your greatest advantages in an increasingly competitive industry. Your ability to tap into the emotions of your reader and engage them on an interpersonal level will never be emulated by a piece of software. In other words, you’ll always have an edge over the machine.

OpenAI is always looking to improve GPT-3. It’s even possible that one day it will be able to replace human writers, but that day is certainly not today.

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