AI Coding Engine & Content Generators: Comparing how the two uses of AI are very similar: Humans Needed!

A recent announcement about artificial intelligence (AI) code writing software resonated deeply because it parallels questions regarding AI content writing software. DeepMind Announced AlphaCode, an AI engine for writing computer programs, achieved “an estimated rank within the top 54% of participants in programming competitions by solving new problems that require a combination of critical thinking, logic, algorithms, coding, and natural language understanding.” DeepMind created a series of tests to determine how successfully their AlphaEngine was developing code. 

 DeepMind Technologies is a UK-based subsidiary of Alphabet, purchased by Google in 2014. There are more ai coding engines; another example is Codex from OpenAI. 

 The AI content writing market is not the same as the AI coding software market. Yet, AIContentGen has researched AI content generation tools, which use NLP (Naural Language Processing) for text creation, and seen over 70 of them in the marketplace, and we’ve reviewed over 20 tools. Each of the AI tools examined required human intervention. 

 Examples where artificial intelligence (AI) generated content requires human intervention include:

  • Homonyms – Where one topic has multiple meanings, the AI content generator produces content for the two different meanings.  
  • Repetitions – Language models make “silly mistakes,” repeating the same concept multiple times. 
  • Conclusions – When the nuance of the meaning was different from what was conceived, or factual errors were generated. 

AlphaCode develops thousands of code samples then tests that code to see which code is working. For comparison, several AI content writers provide alternative results; a writer can choose the version they prefer. Other AI writers measure the results of each ranking them, a higher score indicates better results. Again, the writer chooses their desired content from the ranked choices. 

An AI coding engine may produce workable code, but the decision as to what functions the code performs requires human decision-making. A significant benefit of many AI content writers’ ability to provide research and writing tools is their ability to help speed up determining what needs to be written. However, the starting point for any content creation project is deciding on the purpose of the content and creating a piece that has the most relevant information and topics that the content needs to be most useful. Writers begin the process of writing. The same potential exists for AI coding engines for programming. Like AI writing software, AI coding engines can support programmers by making them more efficient, making it easier to develop a structure for their applications, and speed the coding process.  

Programmers are still at the helm, as writers are with AI content writers. AI coding engines speed the coding process and bring aid and support to programmers. It means even more job security for writers because they will have access to the expertise needed to use and get the most out of artificial intelligence (AI) writing tools for the next few years. To learn more about how to deploy and get the most out of AI content writers, download the AIContentGen Scorecard. And check out the free sample of the report. 

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