A scam is a trick used to cheat someone out of money. At the same time, a scam in crypto investment is when the team behind a token is intended to stop the project and not try to grow the token price as soon as they raise a certain amount of money. And looking at their current trading graphs, they are clearly still working on the project.

Yes, their idea is shit, and they intentionally tried to mislead people to some degree into thinking they are the official token of OpenAI. But they never tried to "scam" people. What they did was they took advantage of a trend. In fact, their token price has doubled since they launched their liquid pool, which is quite surprising.

I'm not trying to justify them. I'm trying to say that they're not the worst token people have created in recent years.

Those are AI generated images, and they perfectly fit their concept.

I'd point out their token allocation block as a clear indication of the "wait a minute" effect or their extremely poor documentation.

Traditional plagiarism checkers like Grammarly, Quetext, or Copyscape can't tell if it's AI-generated or not. They usually think it's 100% plagiarism-free.

However, people are already developing tools that detect specifically AI content, and they're showing pretty accurate results. Now it's not about hunting down plagiarism, it's now about detecting AI-generated content.

Looks pretty impressive. What was the input you gave the tool to produce this article of 2k+ words? Did you specify all the headings, or you gave only one target keyword/title?

Do you have examples generated by text-davinci-003? If you don't, please generate a couple of 1k plus words long articles in the home improvement niche.

Glad to see you back, Vod.