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🧪 Week 5 Community Activation
“What Is Actually Verified?”
Weeks 1–4 surfaced something important:
People conflate “verified” with “true.”
They conflate “AI output” with “AI proof.”
Week 5 exists to correct that.
This week is about verification boundaries, not vibes.
We’re training ourselves — users, builders, miners — to understand exactly what Ambient proves… and what it doesn’t.
And we’re introducing something new to explore this through practice:
🎮 AmbientRPG.xyz is live
AmbientRPG is a niche RPG built for nerdy devs (yes, intentionally).
It includes a built-in chat client powered by Ambient that:
Explains the game
Answers lore questions
Can even help you play
It’s self-explanatory. Explore it.
🎮 AmbientRPG Challenge
🕹️ Play Challenge
Task:
Play through a world in AmbientRPG.
Completion:
Post a screenshot of the victory screen. in https://discord.com/channels/1158059081496535064/1471324242347036753
🛠️ Bonus Challenge — World Builder
Task:
Design and publish your own world with at least one working quest.
Completion:
Publish it so it appears in Discover
Screenshot it live in Discover
Share it in Discord in https://discord.com/channels/1158059081496535064/1471324242347036753
If Ambient enables programmable AI worlds, show it.
🔍 User Loop — Use & Break It
Weekly Prompt:
“Ask Ambient something that feels true — and see what it can actually verify.”
Suggested prompts
A financial calculation embedded in narrative
A logical argument with missing premises
A summary that depends on unstated assumptions
A question where the correct answer is “we don’t know”
What to look for
Which parts are computed vs inferred
Where the model refuses
Whether refusal increases or decreases trust
Output in https://discord.com/channels/1158059081496535064/1448970141940322354
Prompt used
What was verifiable
What was not
Whether the refusal (if any) felt correct
Why this matters
Reinforces: Verified ≠ true in the real world
Trains users to read outputs layer by layer
Normalizes refusal as a feature, not a failure
🧩 Web2 Developer Loop — Micro-Challenge #5
Challenge
“Split a response into verifiable and non-verifiable layers.”
Task
Call Ambient via API
Programmatically label:
Deterministic components (math, logic)
Interpretive components (summaries, advice)
Deliverable
Script or snippet in https://discord.com/channels/1158059081496535064/1430214815833653361 (ask for access)
Short explanation of how you detected the boundary
Recognition
Highlight in weekly update
Why:
Builders must design with verification boundaries in mind.
The model is not monolithic.
🔗 Web3 Developer Loop — Experiment #5
Prompt
“Design a contract that does not over-trust AI.”
Ideas
AI produces a recommendation, not a verdict
Contract requires:
Human confirmation
Multiple AI calls
Explicit uncertainty handling
Deliverable
Repo / gist (post in https://discord.com/channels/1158059081496535064/1430214815833653361 )
1–2 paragraph explanation:
Where AI stops
Where humans or rules take over
Key Principle
Trustless ≠ automated
Trustless = auditable + bounded
⛏️ Mining Loop — Week 5 Focus
Community Action
Review docs related to:
Proof of Logits
Validation vs generation
Prompt
“Where could a miner misunderstand what they’re actually proving?”
We want to surface incorrect assumptions before permissionless scaling.
Week 5 is about precision.
Verification is powerful — but only if we understand its limits.
@ ↑ Notification Roles ↑
🧪 Week 5 Community Activation
“What Is Actually Verified?”
Weeks 1–4 surfaced something important:
People conflate “verified” with “true.”
They conflate “AI output” with “AI proof.”
Week 5 exists to correct that.
This week is about verification boundaries, not vibes.
We’re training ourselves — users, builders, miners — to understand exactly what Ambient proves… and what it doesn’t.
And we’re introducing something new to explore this through practice:
🎮 AmbientRPG.xyz is live
AmbientRPG is a niche RPG built for nerdy devs (yes, intentionally).
It includes a built-in chat client powered by Ambient that:
Explains the game
Answers lore questions
Can even help you play
It’s self-explanatory. Explore it.
🎮 AmbientRPG Challenge
🕹️ Play Challenge
Task:
Play through a world in AmbientRPG.
Completion:
Post a screenshot of the victory screen. in https://discord.com/channels/1158059081496535064/1471324242347036753
🛠️ Bonus Challenge — World Builder
Task:
Design and publish your own world with at least one working quest.
Completion:
Publish it so it appears in Discover
Screenshot it live in Discover
Share it in Discord in https://discord.com/channels/1158059081496535064/1471324242347036753
If Ambient enables programmable AI worlds, show it.
🔍 User Loop — Use & Break It
Weekly Prompt:
“Ask Ambient something that feels true — and see what it can actually verify.”
Suggested prompts
A financial calculation embedded in narrative
A logical argument with missing premises
A summary that depends on unstated assumptions
A question where the correct answer is “we don’t know”
What to look for
Which parts are computed vs inferred
Where the model refuses
Whether refusal increases or decreases trust
Output in https://discord.com/channels/1158059081496535064/1448970141940322354
Prompt used
What was verifiable
What was not
Whether the refusal (if any) felt correct
Why this matters
Reinforces: Verified ≠ true in the real world
Trains users to read outputs layer by layer
Normalizes refusal as a feature, not a failure
🧩 Web2 Developer Loop — Micro-Challenge #5
Challenge
“Split a response into verifiable and non-verifiable layers.”
Task
Call Ambient via API
Programmatically label:
Deterministic components (math, logic)
Interpretive components (summaries, advice)
Deliverable
Script or snippet in https://discord.com/channels/1158059081496535064/1430214815833653361 (ask for access)
Short explanation of how you detected the boundary
Recognition
Highlight in weekly update
Why:
Builders must design with verification boundaries in mind.
The model is not monolithic.
🔗 Web3 Developer Loop — Experiment #5
Prompt
“Design a contract that does not over-trust AI.”
Ideas
AI produces a recommendation, not a verdict
Contract requires:
Human confirmation
Multiple AI calls
Explicit uncertainty handling
Deliverable
Repo / gist (post in https://discord.com/channels/1158059081496535064/1430214815833653361 )
1–2 paragraph explanation:
Where AI stops
Where humans or rules take over
Key Principle
Trustless ≠ automated
Trustless = auditable + bounded
⛏️ Mining Loop — Week 5 Focus
Community Action
Review docs related to:
Proof of Logits
Validation vs generation
Prompt
“Where could a miner misunderstand what they’re actually proving?”
We want to surface incorrect assumptions before permissionless scaling.
Week 5 is about precision.
Verification is powerful — but only if we understand its limits.