Humanized AI content is the future

You've seen the image that was clearly generated by Dalle-3. You've seen the intro to a blog post or article that screams, "This was written by ChatGPT."

Indicators of ChatGPT style writing include the habitual uses of introductions like "In the ever-evolving world of.." or the repetitive use of words like "delve" and "moreover." If you've used ChatGPT a lot, you know what I mean.

Regarding AI-generated images, comic-book undertones seem to be frequently present. Ask AI to generate an image of a man holding a wine glass, and you may notice his hands have eight fingers instead of five.

The artifacts (or vectors, as we call them) present in AI-generated content are easily noticeable to those who commonly use AI.

The problem is that many people are starting to use AI, and someday, everyone will be using it in everyday life.

I believe that combining human oversight and creativity, with AI, is and will continue to be a powerful practice that remains unmatched for the foreseeable future.

Here's my point, though: the more artificial AI appears, the less intelligent it will seem – and larger LLMs operate in a generalized way that makes them less precise or intentional.

This is where aspiring AI startup founders can step in and use it to their advantage to create solutions that serve a specific intent.

Last year, I, alongside my co-founders, created a software called Undetectable.ai, that's specifically designed to make AI-generated content read and appear more human.

We created a custom model process specifically tasked with making AI-written words read less like robots and more like real people.

Text-based AI apps like ChatGPT and Claude have ramped up their capabilities, yet currently, these tools still write like robots, and it's obvious to anyone who knows what AI writing sounds like.

What does this mean for you? It means you can create fine-tuned versions of these models and add an extra step that makes the original outputs from these generative tools better and more unique.

If you have the funding, you could create your own model, but guess what? Right now, you don't need to.

You can use an open-source model or LLM API and either fine-tune it to do one thing really well or program it to complete a specific task that makes using AI easier.

People want to use AI only if it positively serves them and doesn't damage their authenticity. One might be well-intentioned, but the second it becomes obvious they're using AI takes away the value it provides.

Why use AI, even with a hands-on approach, if people will assume you just generated something, copied the output, and pasted it?

The future of AI is a humanized approach, meaning that content produced by AI is indistinguishable from that created by a human.

While my startup focuses heavily on bypassing AI detection, that doesn't have to be your focus. Get curious, get creative, and figure out how you can create something that uses AI but presents it so that authenticity is seldom questioned.

A profitable AI solution is paid for and used by humans, so create AI solutions fit for humans that bolster humans.

This is our approach, and in just one year, our startup amassed seven million users.

Some might say the current state of artificial intelligence is saturated, but the truth is it's saturated with reskins of already successful products without adding anything new or innovative.

If your product is unique and intentionally amplifies the people using it, you will find that the space is, in fact, not saturated at all.

I will end by saying this: Think. Really think. Get curious, be inquisitive, and put originality and intention before the desire for profit. If you do this, the customers will come, and you will be giving them something worth subscribing to and using.