Hey {{First name|there}}! It’s Aaron.

An artist tricked the internet into insulting a real Monet painting for being “AI slop.”

Meanwhile, a BBC journalist convinced major AI tools he was a world champion hot dog eater using a fake article.

One story shows humans struggling to trust real content. The other shows AI struggling to detect fake content.

And together, they reveal a much bigger problem quietly forming online.

A conceptual artist posting as @SHL0MS on X shared a cropped Monet Water Lilies painting — labelled with X's official "Made with AI" tag — and asked followers to critique it.

Six point seven million people saw it. People immediately started ripping it apart.

“Soulless.”
“Flat.”
“AI slop.”

The twist?

It was an actual Monet painting.

Not AI-generated. Not Midjourney. Not some experimental diffusion model trained on Reddit arguments and Pinterest boards.

Just… Monet.

Around the same time, a BBC journalist managed to convince major AI tools he was a world champion hot dog eater after publishing a single fake article online.

And the combination of these two stories feels weirdly important.

One shows humans becoming suspicious of real content because it looks AI-generated.

The other shows AI systems confidently trusting fake information because it looks authoritative online.

For the past two years, the internet has been obsessed with one question:

At this point, that answer feels pretty obvious. The more interesting question now might be:

Because we’re entering a strange phase where both humans and machines are getting easier to fool — just in completely different ways.

The Monet experiment revealed something that honestly feels a little uncomfortable.

The moment people believed the image was AI-generated, they started hunting for flaws.

Brush strokes suddenly became “lifeless.”
The reflections looked “wrong.”
The composition lacked “human emotion.”

The weird part is people had already decided how they felt the second they saw the words “AI-generated.”

And I don’t think this stays limited to paintings.

Photography already gets accused of being AI. Video edits get accused of being AI. Voiceovers. Writing. Music.

At some point, “this feels AI-generated” may become the internet version of a trust warning.

Not necessarily because the work is bad. Sometimes just because it feels too clean.

Meanwhile, AI systems are struggling with the opposite problem entirely.

The BBC test was almost laughably simple. A journalist published fake information online.

Within a day, major AI systems started confidently repeating it back as fact.

Not cautiously. Not with uncertainty.

Confidently.

That’s partly because many AI search systems are optimized for fast answers, clean summaries, and confident responses.

But confidence and accuracy are not the same thing. The internet learned that years ago. AI is now learning it the hard way too.

And when users get one polished AI-generated answer instead of multiple links to compare, weak information becomes much easier to trust.

That changes the problem. The internet used to have a discovery issue.

Now it’s starting to develop a verification issue. And that’s not entirely accidental.

Confident answers drive engagement. Engagement drives adoption.

The incentive to slow down and verify runs directly against the incentive to grow fast.

Creators should pay attention to that shift more than the latest benchmark charts.

Because if AI makes content infinitely easier to generate, then trust starts becoming more valuable.

Not just quality.

Trust.

A recognizable voice. Consistent perspective. Taste. Reputation. Actual human judgment.

Ironically, the AI era may end up making authentic creators more important — not less.

Not because humans will always produce “better” content.

But because eventually people need someone they trust when everything online starts feeling synthetic.

The strange thing about the AI era is that both humans and machines are becoming easier to manipulate.

Humans increasingly dismiss real work because it looks AI-generated.

AI systems increasingly trust fake information because it looks convincing online. And somewhere in the middle sits the creator economy.

Flooded with more content than ever. But also starving for credibility at the same time.

Which means the next creator advantage may not be who can produce the most content.

It may simply be who people still believe.

See you in the next one,

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