AIYING LIVE · #009
When Anyone Can Generate, What Becomes Remarkable?
A lateral look at what becomes valuable when creating becomes easier.
By Ravindra Dastikop
A beautiful image. A fluent article. A song for a birthday. A working prototype.
AI is making more kinds of creation accessible to more people. That opens an intriguing question:
When generating something impressive becomes easier, where does being remarkable move?
One assumption deserves a closer look: the finished output is the achievement.
Sometimes it is. But consider three birthday gifts: a generated greeting, a song built around a shared memory, and a family gathering where that song brings three generations together.
The generated material matters. So do the attention, knowledge, and effort surrounding it.
What could the output invite?
If an image is an invitation, perhaps its purpose is to help someone notice their neighbourhood differently.
If a family story is an invitation, perhaps it prompts a grandparent to correct it, add a forgotten detail, or reveal something nobody thought to ask.
If a prototype is an invitation, perhaps its achievement is getting someone to try an idea—and discovering why it fails.
The movement from the provocation is practical: shift attention from the object produced to the interaction it could enable.
We can design what happens after generation.
An image that starts something
Imagine photographing an overlooked patch of land. You use AI to explore several possible uses: a garden, a shaded resting place, a play space. These are visual proposals; permissions, costs, accessibility, and feasibility still need checking.
You show the possibilities to neighbours.
Which image is most beautiful? That is one question.
Which starts a useful conversation? Which reveals a need? Which leads someone to volunteer? Those questions reveal another kind of value.
This is an illustrative scenario, not a report of a completed project.
What would you count as success?
Suppose one image attracts many appreciative reactions. Another prompts two neighbours to discuss what the space actually needs.
Which has accomplished more?
Your answer depends on the purpose. Appreciation can be a worthwhile outcome. So can discovery, participation, or action. The useful move is to decide what matters before treating an attractive output as proof of success.
Try a possibility probe
Choose one thing you were about to generate. Before you begin, complete this sentence:
“After encountering this, someone should be able to ______.”
Notice something? Make a decision? Share a memory? Try an unfamiliar activity?
- Name the intended effect. Choose one observable response.
- Generate with that purpose. Explain the person, situation, and desired response to your AI tool.
- Try it with one willing person. Observe what happens before explaining what you hoped would happen.
- Compare intention with evidence. What did they notice, understand, ask, or do? What would you change?
Expected accomplishment: one creation tested for its effect, with a specific observation to guide the next version.
A prompt to begin
I want to create [output] for [person or group] in [situation]. After encountering it, they should be able to [desired response]. Help me question whether this output is the best way to achieve that purpose. Suggest three possibilities, including one unexpected approach. Then help me make a small version and define what I can observe to judge whether it worked.
From generation to consequence
Generating creates material. Sharing brings it into someone’s world. Observing its effect helps us discover whether it served its purpose.
In the AI age, remarkable work may increasingly come from connecting what we can generate with what people care enough to do.
What will your next creation make possible?
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