Now TPT is starting to deal with what it calls the AI Slop.

There's one news that May thinks TPT sellers should know.

Now TPT is starting to deal with what it calls the AI Slop.

This story comes from a report by Chalkbeat who went in to explore the product on TPT and found some Resource that looked like it was built with AI and had a clearly visible error.

One example is a sorted English letter poster.

A B C D E and then the F is missing.

Another example is the media about George Crum, a person often credited with being involved in the birth of fries.

But the illustration is a fireman dressed in a gas mask standing next to a traffic light, which has little to do with the material being taught.

This is an example of the so-called AI Slop.

Simply put, AI-produced content is quick and easy, but of poor quality, error, or not adequately reviewed before being released or sold.

And the important thing is that TPT already knows the problem.

TPT provided Chalkbeat with information that algorithmic tools were used to find and reduce store visibility associated with low-quality AI incidence content.

Here, May thinks that he has to separate.

The problem may not be whether we use AI or not.

But that

What do we sell after we use AI?

Because what is being watched is that AI-generated jobs are of poor quality.

Not all cases of AI use.

So what May concluded was not

"Give up AI."

But is

"Use AI and then have to check to be."

AI really makes us create jobs faster.

But if we don't have enough knowledge to determine whether what it creates is right or wrong,

It can make us produce mistakes faster, too.

And for educational materials, this is very important.

Because Resource's destination is not just teachers who pay to buy.

But the children who really take what we do

So May thought that on the day everyone could use AI to create jobs,

What will keep us in the market for the long term may not be

Who can produce faster

Or who has more products

But is

Who has knowledge and uses AI to build that knowledge into quality products?

May went to find one idea and liked it very much. Share it.

He likened that

AI is like a "multiplier."

If we know what we are doing,

AI can multiply our abilities to run faster and build more.

But if that matter, we have no basis at all.

What AI creates, we don't know if it's right or wrong.

Even if it helps us produce faster,

What's being multiplied faster could be our own mistake.

And May said this is very true for educational media.

Because in the end

AI may help us create jobs.

But people who need to be knowledgeable enough to judge that

"Is this piece ready for sale?"

You still have to be human.

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