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Elon Musk’s Research Firm Built an AI-Powered Game Changer for Marketers
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Elon Musk’s Research Firm Built an AI-Powered Game Changer for Marketers 

When the AI-powered language model GPT-3 was released in the world in 2020, it created a stir, but few realize that this AI could be a game changer for marketers in the business world.

This AI language model was built with 175 billion parameters, more than ten times as many as Microsoft’s Turing NLG. It was developed by Elon Musk’s research company OpenAI.

GPT-3’s ability to generate text that was practically indistinguishable from human writing surprised a lot of people. Most computer-generated text sounded unnatural at best and incoherent at worst before it was first introduced.

GPT-3, on the other hand, has the ability to confuse people by imitating sounds from voices, writing styles, and even real authors.

The biggest snag, on the other hand, may not be due to the discovery itself, but rather to OpenAI’s decision to commercialize it.

Many applications are already being built around GPT-3, with many of them promising to revolutionize business functions that rely heavily on content development, such as B. Marketing.

Why is GPT-3 such a game changer for marketers?

Automated copywriting is one of the most obvious applications of GPT-3, and marketers have jumped at the chance.

Several companies have already created GPT-3 tools that can assist with : 

Text creation and content creation

GPT-3 can be a useful automation method for quick displays or explanations. Short sentences, such as introductory paragraphs, product reviews, and email content, may also be written with it.

Idea generation, brainstorming, and structuring are all important steps in the creative process.

Marketers and copywriters are constantly faced with the task of coming up with fresh marketing ideas. Certain GPT-3-based platforms were created to overcome this issue. Copysmith, for example, has tools for producing article ideas, structuring blogs, building lists, and much more.

Research

GPT-3 isn’t a professor, but with the right inputs, it can monitor its performance and provide information to marketers to aid in their study. For example, the actors in some films, Python commands, physics formulas, or even step-by-step instructions for creating a WordPress site can all be listed using Copysmith’s list function.

GPT-3’s ability to generate not only natural language but also code is perhaps one of its most amazing achievements. English sentences are being converted into Linux commands, HTML pages, and even whole apps by developers.

Game Changer for Marketers

How does the marketer’s function will change because of GPT-3?

GPT-3 will take automation to the next stage. Automation has become one of the most disruptive forces in the marketing industry.

As a result, increased automation affects everyone in the marketing industry, including content creators, copywriters, marketers, and developers.

GPT-3 and similar models will produce the following outcomes in the coming years:

A greater emphasis on strategy

Automation eliminates the need for technicians in every sector. GPT-3 can manage technical tasks in marketing such as writing metadata, headlines, social media sharing, SEO-related tasks, and other “grunt” tasks. As a result, the marketing plan would receive more attention than the technological execution of that strategy.

Increased demand for high-quality data and content

Marketers don’t need to distinguish their brands, become trusted experts, develop thought leadership, or create engaging content if AI-generated content is readily available around the world.

More pressure for digital transformation

As automated content development tools become more common, performance improvements will occur, giving early adopters a competitive advantage. As a result of these digital giants, the rest of the industry will be pressured to use the same tools. We shouldn’t be surprised if AI-powered language models become as popular as marketing automation tools are now in the future.

Limitations of GPT-3

It is very important to understand the limitations of language model to use advertising and marketing tools based mainly on GPT-3. For instance ,

GPT-3 Can’t Suppose:

Since GPT-Three is man-made, sentences or paragraphs may be made that look pure and well-written. But the platform really doesn’t understand what these phrases mean. This becomes apparent when studying longer, logically inconsistent passages sometimes. AI should subsequently increase and reasonably increase the number of human entrepreneurs and writers.

Can create material for inappropriate or partial content:

As AI mode is taught to know the real world, it unfortunately replicates human bias and simply generates inadequate and even hateful content material. Steps are taken to mitigate such prejudices, but it shows but another excuse why entrepreneurs should rigorously review the material from self-generated content before publication.

Can provide content material protected by legal guidelines on mental property :

Brainstorming is a fantastic case for GPT-3, as already mentioned. The text content generated, however, could contain proprietary names or sentences depending on circumstances. For example, requesting concepts for names of characters or products may end in character names that already exist from present inventive works or in the names of merchandise.

Hurdles like this are fortunately easy to avoid as long as entrepreneurs build their content and their due diligence in an appropriate way. Over time, we can also rely on GPT-Three tools, in order to add additional security mechanisms which reduce risks in this area.

Nick Bostrom, a professor of philosophy at Oxford University and head of the Future of Humanity Institute, is one of the most accentuated critics of the future of AI. Bostrom argues that the latest advances in AI technology are still at a fairly fast pace and could lead to the development of artificial intelligence technology which far surpasses human intelligence. Soon after, he says, we can see the appearance of an almost omnipotent superintelligence capable of manipulating people psychologically and of being catastrophic for society as we know it.

Ultimately, this superintelligence can take over and decide which can make sense for machines, but which are human anathema. So he believes that the top priority for society will be to find how this superintelligence can be imbued with a system of human ethics and morality that is hard to achieve.

AI is gradually entering homes, particularly in the west. 62% of companies and organisations, according to Narrative Science, will have taken it this year. Furthermore, the “care-bots” can reach a total value of US$17.4 billion by 2020 by means of artificial intelligence, to meet the demands of users. A projected estimate could also cover key business components such as marketing, customer service and sales in the next five years.

It’s no surprise that people are going crazy over the fact that AI will undoubtedly push the future of marketing. Game changer for marketers who want to get ahead of the curve should look into GPT-3 resources and try them out.

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