Like your article? Maybe you’re a fan of Fractl an AI Writer…

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Word smith maker, content creator and sentence expert are its functions. The goal is simple. Create content better than people. Eliminate writers by creating better content.

Sound scary? Maybe it is.

I have written about technology in the past. I am a proponent of advances in artificial intelligence, robotics and their application. My company Antares is a company designed to compliment models that replace people. Our focus is to replace hazardous jobs that risk lives. The risk for entering toxic areas, degasification of poisonous gases, cleaning tankers and conducting submerged activities is high risk to say the least. These jobs pay high because people risk everything. Workers do the job knowing the occupation has dangers ranging from cancer to certain death.

My moral compass says that’s dangerously unethical. My entrepreneurial side says we can cut costs to increase oil and gas profits in a low margin setting.

This sounds like a true win-win…but replacing activities such as writing?


Fractl is an application creator that uses an open source tool named Grover. Grover was created by Allen Institute for Artificial Intelligence. Do you know the function of Fractl?

Fractl’s job is to write, sound and create content like a human writer. Congratulations writers the new threat to your career is here and its name is Fractl.

So far what Grover’s child is doing is “Article Spinning”. Article Spinning is when automated tools rewrite existing content. The function of Fractl is to find and replace words in methods that present unoriginal content as original. After all, there’s nothing new under the sun…right?

It is established fact people talk about the same thing. How many different articles are there about Donald Trump’s July 4th parade? I’m guessing quite a bit. The compelling part about Fractl is not originality. The compelling part of Fractl is output capacity.

How do we compete with content creation that does not sleep, does not eat and needs zero inspiration? There is good news and bad news. I will start with the good news. Rowan Zellers is the creator of Grover. Zellers works for the Allen Institute. According to Zellers the answer is a firm “yes,” at least for the time being. The tool Fractl is used for fake blog posts. Fractl was derived from Grover source code. Zellers was able to engineer a system to spot Grover-generated text with 92 percent accuracy.

That is the good news. The bad news is summarized in one sentence, “No one but the creators of Grover has reliable tools.”

How does medium or a third party editor discern the difference?

The answer is an astounding, “They can’t”.


According to my own research the huge indicator for Fractl AI writing is linguistic and grammatical repeats. There is distinct repetition in certain phrases and nouns. Zellers was quoted on The Verge as saying, “They repeat things … because it’s safer to do that rather than inventing a new entity.” The continual use of similar words and phrases is applied without consideration for quality.

Integrating detectors into internet infrastructure is a huge task. The amount of time, energy and money results in wasted resources. There is always a cost benefit analysis to determine if prevention matters. For a search engine company like Google, I would say chances are low mitigation will take effect. Why would a company utilize money to prevent third party content creation? If I am Google I would not see the point. Unless a new search engine emerges to threaten Google’s +90% market share there is no reason to develop this tool. The search engine would need to directly campaign, “We prevent AI Content,” and take market share. Based on Microsoft Bing’s massive failure I would say Google will never spend money to prevent AI content creation rankings.

The scale of online environments means third party detectors. Many claim high accuracy. High accuracy levels have high probability error. Google has yet to release any official message on this issue since it began to surface about 15 years ago (proves my point).

An article published on 2 July by James Vincent of the Verge highlighted an example of an AI written blog on Instagram filters:

You might not think that a mumford brush would be a good filter for an Insta story. Not so, said Amy Freeborn, the director of communications at National Recording Technician magazine. Freeborn’s picks include Finder (a blue stripe that makes her account look like an older block of pixels), Plus and Cartwheel (which she says makes your picture look like a topographical map of a town.”

The punch line to this content creation is there is no “Mumford Brush”,
“Plus”, or “Cartwheel”.

The source for spam elimination appears to be Siri, Alexa and other voice command technology. Apparently Google is looking to generate only one, two or three great answers. These voice assistants are designed to quickly reference credible information. A faulty AI generated “Mumford Brush” would automatically be removed from suggestion since it is not real.

Eliminating spam seems to be interaction with voice technology.


Currently we live in an age of misinformation. Content creation is being done at astounding rates. I disagree with Donald Trump on nearly all issues. The issue I do not disagree with is “Fake News”. Propaganda, false entry, and spam words fill our inboxes. This approach was designed to attention grab. Create shocking stories, statements and phrases for people to pay attention.

News channels have the blame for our state of misinformation. News agencies pushed to remove and alter key legislation.

The Telecommunications Act (TA) of 1996 was the first change to telecommunications law since 1934. The TA of 1996 amended the Communications Act of 1934. The Act, signed by President Bill Clinton, represented a major change in American telecommunication law. The legislation was the first time Internet was included in broadcasting and spectrum allotment.

The most controversial title was Cable Services or Title 3. Title 3 allowed for media cross-ownership. According to the Federal Communications Commission (FCC), the goal was to “let anyone enter any communications business — to let any communications business compete in any market against any other.” The primary goal was to deregulate converging broadcasting and telecommunications markets.

The issue did not stop there. The TA of 1996 released publications from ownership of content.

This is a very big deal. By releasing publishers from liability on content news outlets were allowed to publish false information without liability.

You will notice that Jerry Springer came out around this time. Jerry Springer created false controversial stories as entertainment. News stations noticed. Ratings for shows based on boring factual information took a nose dive. Drama centered shock made sensational shows ratings soar. News took a sensational turn to attract ratings. Since 1996 we have operated in an environment where it makes more sense to “shock” then “inform”.

Artificial Intelligence (AI) has noticed. That is why you get a Mumford Blush instead of an actual filter.


So far we are not very deep down the rabbit hole. Fractl is pretty new. Computing speed recently emerged to cope with content demand. Server space is freed up by the cloud. Artificial Intelligence is still restricted to human subset input. People still have to give rule sets and decision based logic. The data sets still require human pre-programming. There will come a time when robots decide to create their own rule sets. When this happens human competition will face tough resistance.

Selecting words and copying them are two very different animals. Right now Artificial Intelligence is limited to word copying. The question is, “What will you do to stay relevant when your competition is 100x faster than you?” Time will tell. Want some investment tips? Find a tech company heavily investing in AI. I did. Follow me on Medium or subscribe to my newsletter to learn more insightful advice.

To your knowledge success!


About Christopher: Christopher Knight Lopez is a Professional Entrepreneur. Christopher has opened over 7 businesses in his 14-year career. Christopher’s purpose is to take advantage of various market-driven opportunities. Christopher is a certified Master Project Manager (MPM) and Accredited Financial Analyst (AFA). Christopher previously held his Series 65 securities license. Christopher also has his General Lines — Life, Accident, Health & HMO. Christopher has managed a combined 286mm USD in reported Assets Under Management & Assets Under Advisement. Christopher has work experience in 29 countries, raised over 50mm USD for various businesses, and grossed over 7.5mm in his personal career. Christopher worked in the highly technical industries of: biotechnology, finance, securities, manufacturing, real estate, and residential mortgages. Christopher is a United States Air Force Veteran. Christopher has a passion for family, competitive sports, fishing, martial arts and advocacy for entrepreneurs. Christopher provides self-help classes for up-and-coming entrepreneurs. Christopher’s passion to mentor comes from belief that entrepreneurs need guidance. The world is full of conflicting information about entrepreneur identity. See more at

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Christopher is a Professional Entrepreneur with over 14 years of experience, a Master Project Manager, Financial Analyst, & Master Financial Planner

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