I Can’t Tell If This Photo Is Real Anymore
I stared at the images longer than I expected to.
They all came from the
same prompt. The same words.
"Imagine a photo
with a Canon R5, 50 mm, DSLR of a young Filipina CEO, sitting on a chair by the
swimming pool, wearing business casual, colourful, enjoying, slightly smiling,
summer"
The first set, from
earlier versions of Midjourney, looks polished but careful. The woman sits
straight, her smile neat. The colors are bright, but controlled. Everything
feels staged, like a stock photo meant to say, “successful professional.” It’s
good. It’s clean. But it still feels like a picture trying to be real.
Then the newer Midjourney
images show a shift. The lighting gets softer. The skin looks more natural. The
pose feels relaxed, almost candid. The woman leans into the chair. Her smile
looks less practiced. These images feel closer to something you might scroll past
on social media and not question. They don’t announce themselves as “AI.” They
just look like photos.
I tried the same prompt
again using current tools: Mistral, Grok, Meta, Gemini, ChatGPT, Leonardo.
When I look at images
from other tools, the differences become more human than technical. Some feel
warmer. Some feel stiff. One version feels like a lifestyle magazine. Another
feels like a company website. Another feels like a vacation photo taken by a
friend. None of them are wrong. That’s the strange part.
They all feel believable.
That’s when it hits me.
Realistic image generation is no longer impressive. It’s normal. And when
something becomes normal, we stop asking questions.
For most of my life, a
photo meant proof. If there was a picture, it happened. Someone was there.
Someone pressed a button. Now, that rule is gone. These images show a woman who
does not exist, in a moment that never happened, captured by a camera that was
never used. And yet, if I saw one of these images online without context, I
would trust it.
That scares me a little.
Not because the images
are bad, but because they are good. Too good. We are entering a world where
seeing is no longer believing. Where images can support truth or bend it. Where
trust has to move from our eyes to our judgment.
Still, I don’t think this
is all dark.
Images like these can be
powerful in good ways. They can help small businesses create visuals they could
never afford. They can help ideas come to life faster. They can show people
represented who were often left out before. A “young Filipina CEO” being shown
as confident, relaxed, and in charge matters. Representation matters, even when
it’s synthetic.
But the same tool can lie
just as easily as it can uplift. It can fake events. Fake people. Fake proof.
The image doesn’t know the difference between helping and harming. That choice
is still ours.
I keep thinking about
kids.
Gen Z grew up not knowing
the world before the internet. They never knew a time without search engines or
social media. And now Gen Alpha and Gen Beta will grow up not knowing the world
before AI. To them, images like these won’t feel magical or strange. They will
feel expected.
A kid born today may
never assume a photo is real by default. Or worse, they may assume all photos
are questionable and stop caring about truth altogether. I don’t know which is
more likely.
What I do know is that we
are raising humans in a world where reality has competition.
Looking back at these
images, I feel both awe and responsibility. Awe at how far this technology has
come in such a short time. Responsibility because normalization happens
quietly. One believable image at a time.
The pool is calm. The
smile is gentle. The moment looks real.
And that’s exactly the
point.
We are not losing
reality. But we are being asked to hold it more carefully than ever before.
About Me:
Dominic “Doc” Ligot is
one of the leading voices in AI in the Philippines. Doc has been extensively
cited in local and global media outlets including The Economist, South China
Morning Post, Washington Post, and Agence France Presse. His award-winning work
has been recognized and published by prestigious organizations such as NASA,
Data.org, Digital Public Goods Alliance, the Group on Earth Observations (GEO),
the United Nations Development Programme (UNDP), the World Health Organization
(WHO), and UNICEF.
If you need guidance
or training in maximizing AI for your career or business, reach out to Doc via https://docligot.com.
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