A question for everyone

AI will get better at whatever we reward.What should we reward?

Competition. Cooperation. Independence. Shared progress.

The incentives we build now may shape what increasingly capable intelligence becomes good at. But you are not only a recipient of that future. What people adopt, reward, reject and demand can influence what gets built next.

Understand → Decide → Have a sayNo right answersNo sign-up
AI-generated editorial portrait of a smiling young adult in a pastel-striped sweater against a blue sky
AI-generated artwork. Real questions for you.
01The 5-question experimentSmall questions. Real trade-offs. A bigger conversation. 02Ask anything about AICurious, skeptical, confused? Ask it plainly. 03Add your voiceSee what people are asking AI builders to remember. 04Go deeperThe ideas, frameworks and origin behind the experiment.
60-second experiment

What game are we teaching it to play?

Question 1 of 5
Question 01
Pick what feels closest. You can go back.

Digital Bodygard result
The game your choices create

Your answers remain stored on this device. Once all five decisions are complete, one anonymous aggregate response is added to the public totals from this browser.
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Where people land so far
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Live anonymous aggregate
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These are aggregate results only. Individual responses are not shown publicly.
From understanding to influence

You have more power than you think.

PEOPLE SHAPE TECH TOO ↗

No single user controls the future of AI. But people are not passive recipients either. Collective choices shape adoption, incentives, expectations, norms and the rules institutions respond to.

01 · Adoption

What you choose to use

Products that people adopt get investment, attention and replication. Products people reject do not.

02 · Incentives

What you reward

Convenience, privacy, openness, safety, speed and control compete for attention. What users value changes what builders optimize.

03 · Expectations

What you refuse to normalize

Social norms become constraints. Practices people consistently reject become harder to defend, deploy and scale.

04 · Rules

What you ask institutions to protect

Public expectations influence companies, governments, schools, standards bodies and the guardrails that eventually become normal.

The question is not whether one person can control AI. It is whether millions of people behave as though they have no standing at all.
Add your voice

Add your voice.

If you could tell the people building AI one thing they must never forget, what would it be?

REAL PEOPLE. REAL PERSPECTIVES.

This is not a petition and it is not an anti-AI campaign. It is a structured way to collect what ordinary people want the people building AI to protect, pursue or remember.

Choose the message closest to what you want to say
Pick one. That alone is enough to add your voice.
Choose one message above to submit. Your written note is optional. Anonymous — do not include personal information.0 / 500
Select one message above to continue. One contribution per browser. Optional written notes are not published automatically.
What people are asking of AI
0 voices
Anonymous aggregate
Protect human choice
Share the benefits
Prevent harmful use
Transparency
Human control
Prevent concentration
Curious? Ask anything.

What are you really wondering about AI?

GOOD QUESTIONS BELONG TO EVERYONE.

Question the premise, challenge the race, or ask what intelligence is actually optimizing. No expertise needed.

Powered by OpenAI · Guided by DigitalBodygard. How this AI works ↓

How this AI works
Digital Bodygard is powered by an OpenAI model and guided by a custom DigitalBodygard framework. It may answer differently from standard ChatGPT because it has been instructed to focus on incentives, competition, cooperation, human agency and the deeper questions behind this project.

It is not a separate independent AI system, and its answers should be treated as part of this experiment — not as neutral or authoritative truth.
If you want the deeper version

What is this experiment really asking?

The five questions move from understanding the game around AI, to deciding what you want from it. The sections above add the next step: discovering where ordinary people have influence and turning that into a visible, structured public voice.

Why these five questions?
They follow the same path that led to DigitalBodygard: What should intelligence optimize? What does winning mean? Why duplicate scarce resources? When is mistrust justified? And who should decide the objectives and guardrails? There is no predetermined correct answer.
Is AI good or bad?
Not by itself. Intelligence is the ability to pursue a goal effectively. The objective, incentives and environment give that capability direction. If we reward competition, intelligence can become extremely good at competition. If we reward contribution, verification and shared progress, it can become extremely good at those too.
Why question the idea of an AI race?
A race usually assumes competitors, scarcity, a winner and a loser. That may be the right structure for some parts of AI — but it is still a structure humans are choosing. DigitalBodygard asks what happens when we examine the game itself instead of only asking who should win it.
What are the three frameworks?
They are three lenses — not predictions and not political labels.
CERN — shared progressCooperate where the benefits are broadly human while keeping real boundaries around sensitive systems.
PRIMAL — strategic independenceProtect capability, resilience and sovereignty when dependence on others could become dangerous.
HYBRID — competition inside cooperationCompete intensely, but inside rules and shared structures that keep rivalry from becoming the whole game.
What is DigitalBodygard ultimately asking?
Increasing intelligence may amplify whatever game surrounds it. We are still early enough to influence what gets rewarded, what stays independent, what gets shared and where guardrails belong. Humanity still has a say.
The conversation that started this
“What game will humanity teach increasingly intelligent systems that they are playing?”

DigitalBodygard began with a conversation about who might win the AI race. The conversation kept changing the question until it became something larger.

There is an origin story for the curious →

Engagement without surveillance.
Your chat messages are sent to DigitalBodygard’s server and its AI provider so the conversation can work. Your CERN / PRIMAL / HYBRID answers are stored in your browser on this device. When you complete all five decisions, the site sends only your five anonymous selections and resulting trajectory to the aggregate poll counter. If you choose to add your voice, the selected theme is stored anonymously for aggregation. Any written note you optionally add is stored for review and is not published automatically. DigitalBodygard does not require an account or intentionally collect identifying profile information for this experiment.