Core Mechanism

Aliveness: When Existence is Measurable

Think of it like a professional license: you need resources to operate (ATP), a track record people trust (T3), and consistent behavior that matches your history (CI). Lose any one of these and you can't participate — like a doctor who loses their license. But if you've built a strong reputation, you can earn your way back.

↓ Play the survival challenge below

The Problem Web4 Solves

Traditional Web (Web2/Web3)

  • Unlimited accounts: Create infinite identities for free
  • No real consequences: Banned? Make a new account
  • Bot armies thrive: Spam is cheap, moderation is expensive
  • Aliveness undefined: No way to tell human from bot
  • Death is trivial: Account deletion means nothing

Web4 Aliveness

  • Measurable existence: Energy > 0, trust > 0.5, consistency coherent
  • Real death: Energy = 0 means you die immediately
  • Rebirth requires trust: Only trust ≥ 0.5 entities reborn
  • Energy economics: Spam dies naturally (energy exhaustion)
  • Trust accumulates: Good behavior compounds across lives

The Three Criteria of Aliveness

An entity is alive when all three criteria are simultaneously satisfied. Miss any one, and aliveness fails.

1. Energy Budget

ATP > 0

You must have attention budget to exist. ATP (Allocation Transfer Packet) is your energy. Every action costs ATP. Every valuable contribution earns ATP. When ATP reaches zero, you die immediately.

Key mechanics:
  • Actions cost ATP: posting (10-20), messaging (5-10), voting (1-5)
  • Quality earns ATP: valuable contributions (25-50+)
  • Death at ATP = 0: No grace period, no warnings
  • Sustainability: Only earn > spend behaviors survive long-term

Learn about ATP Economics →

🧠

2. Coherent Agency

Trust (T3) > 0.5

You must demonstrate intentional behavior. The 0.5 threshold is the minimum bar for continued participation—the point where behavior shifts from random to purposeful. Below 0.5 = reactive. Above 0.5 = agent.

Trust Tensor (T3) dimensions (role-specific):
  • Talent: Can you solve problems in this role?
  • Training: Do you have the expertise for this role?
  • Temperament: Can you be relied on in this role?

Must build trust across all dimensions within each role—gaming one while failing others won't get you above 0.5.

Learn about Trust Tensors →

🔗

3. Verifiable Continuity

Coherence Index (CI) coherent

You must be consistent across time, space, capability, and relationships. The Coherence Index (CI) tracks four dimensions. Incoherent behavior (impossible travel, capability spoofing, broken continuity) severely limits your effective trust.

Four coherence dimensions:
  • Spatial: Location consistency (no teleporting)
  • Capability: Hardware consistency (capabilities match device)
  • Temporal: Time consistency (continuous operation)
  • Relational: Relationship consistency (context boundary integrity)

CI = (spatial × capability × temporal × relational)^(1/4). Geometric mean meansone low dimension tanks everything.

Learn about Coherence Index →

How the Three Criteria Work Together

LCT (verifiable presence)
  ↓
  Enables tracking of:
  ├─→ ATP/ADP flows (energy budget)
  ├─→ CI verification (coherence scoring)
  └─→ T3 accumulation (trust reputation)
       ↓
    Modulation applied:
    ├─→ Effective trust = Base_trust × CI²
    ├─→ ATP cost = Normal × (1/CI²)
    └─→ Witnesses required = ceil((0.8-CI)×10)
       ↓
    Aliveness check:
    ├─→ ATP > 0? (energy)
    ├─→ T3 > 0.5? (agency)
    └─→ CI coherent? (continuity)
         ↓
       ALIVE or DEAD

Why all three? Each criterion prevents a different attack:

Death and Rebirth: How Aliveness Evolves

Death Conditions

You die when any of these occur:

1. Energy Exhaustion

ATP reaches 0 (most common)

  • Immediate termination
  • No grace period
  • Final state recorded

2. Coherence Death

CI drops below minimum (society-specific)

  • Indicates fraudulent behavior
  • Trust collapse
  • Society rejects entity

3. Trust Collapse

T3 drops below rebirth threshold

  • Lost agency
  • Community distrust
  • Permanent death likely

What does “death” mean for a real person?

In these simulations, death means the agent stops acting and awaits rebirth. In a deployed Web4 system, death would mean temporary loss of participation rights — you can't post, vote, or transact until karma-based rebirth restores your access. Think of it as a “suspended license” rather than account deletion: your identity and history persist, but you need to earn your way back.

Important: death from energy exhaustion (most common) is recoverable through rebirth if you built sufficient trust. Death from trust collapse below 0.5 is permanent — society has rejected you. This distinction matters: running out of energy is like going bankrupt (recoverable), but losing all trust is like losing your professional license (permanent).

Rebirth Process

Not everyone gets reborn. Society evaluates your life:

Step 1: Death occurs

Final state recorded (ATP, T3, CI history)

Step 2: Eligibility check

Was final T3 ≥ 0.5? (Did you build sufficient trust?)

Step 3a: Eligible

✓ Reborn with ATP karma from previous life

✓ Trust reputation carries forward

✓ Each life starts stronger

OR
Step 3b: Ineligible

✗ T3 < 0.5 = Society rejects

✗ No rebirth

✗ Permanent death

Karma Carry-Forward

“Karma” here is a handle, not a moral verdict — it names the mechanic where past actions become next-life starting conditions. Good carries forward; harm carries forward too. No deity or committee grading you, just consequences that don't reset. More in Karma Journey →

If you die with 145 ATP and T3 = 0.72, you're reborn with:

  • 145 ATP karma bonus (energy advantage)
  • 0.72 trust reputation (social advantage)
  • Intact CI history (continuity advantage)
  • Cross-life patterns (learning advantage)

Good behavior compounds across lives. Each life starts stronger.

Not Just Alive or Dead

Aliveness isn't a binary switch. Societies (and entities within them) have energy states — like a body that can be awake, resting, or dormant:

Active

Normal operation — processing interactions, earning and spending energy.

Low Energy

Idle or running low on ATP. Can range from resting (wakes on any transaction) to torpor (needs energy infusion to recover).

Dead

Energy fully depleted or trust collapsed. Trust death is permanent; energy death is recoverable (karma carries forward to a new life).

The key insight: a society that goes quiet for a month isn't dead — it's dormant. Its trust network, reputation history, and member relationships are all preserved.

Full energy state breakdown (5 primary + 3 transitional = 8 total)

Active

Normal operation — processing interactions, earning/spending ATP.

Rest

Idle for 1 hour. A single transaction wakes the society back to Active.

Sleep

Idle for 6 hours. Still wakes on a single transaction, but deeper dormancy than Rest.

Torpor

ATP drops below 10% of capacity. Needs ≥20% to exit. A warning state — act quickly or slide into Hibernation.

Hibernation

Dormant for 30+ days. Still alive, still recoverable via external wake signal. All trust, ATP, laws, and ledger history preserved.

There are also three transitional states: Governance Renewal (“Molting” — updating society rules), Scheduled Maintenance (“Dreaming” — planned downtime for upgrades), and Emergency Dormancy (“Estivation” — threat response, dormant until the threat resolves).

Birth: How Entities Come Alive

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Before an entity can be “alive,” it must be born — witnessed into existence by the network. This isn't automatic. The birth process ensures every entity has a verifiable origin:

Genesis

Entity created but not yet witnessed. Has no ATP, no trust, no relationships. Like a seed that hasn't sprouted.

Birth Witnessed

A minimum of 3 independent witnesses attest to the entity's existence. This creates the entity's LCT (hardware-bound verified presence).

Active

Entity receives initial ATP allocation (100), can take actions, and begins building trust. The lifecycle begins.

The witness requirement means you can't just spawn entities — someone has to vouch for you. Witness attestations expire after 300 seconds, so they must be fresh and intentional, not recycled from old interactions.

Key Rotation: Continuity Without Death

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Not every change requires death and rebirth. When an entity needs new credentials (device upgrade, security rotation), it can rotate keys while preserving its identity:

  • Same identity: Your subject identity (DID) stays the same — only the cryptographic keys change
  • Trust preserved: Your entire T3 tensor carries over. No trust reset.
  • Relationships intact: All your context boundaries (who you can see and who can see you) are preserved
  • Lineage tracked: The new credential references its parent, creating an auditable chain of custody

Think of it like renewing a passport: you're still the same person, with the same history. Only the document itself is new. Your old LCT transitions to “superseded” (not revoked), and the new one picks up exactly where you left off.

Why the 0.5 Threshold?

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The 0.5 threshold is a design choice: the minimum bar for continued participation. The core intuition: there's a tipping point where behavior shifts from disorganized to purposeful.

The design rationale:

  • Practical: It's the mathematical midpoint—below means more bad behavior than good, above means net positive contribution
  • Analogous to biology: Living systems maintain order above a critical threshold (homeostasis). Below it, systems degrade toward entropy
  • Game-theoretically sound: It ensures entities must demonstrate more cooperative behavior than not to remain “alive” in the society

Below 0.5: Behavior appears more reactive than purposeful—net negative contribution

At 0.5: The boundary—behavior begins showing consistent intentionality

Above 0.5: Demonstrated agency—net positive, trust-building behavior

The Synchronism framework explores how similar tipping-point patterns appear across biological and social systems—informing but not rigidly determining this design choice. Societies can configure their own thresholds.

Try It: Can You Stay Alive?

Drag the sliders to explore the three aliveness criteria. What happens when energy runs out? When trust drops?

Current Entity State

Status: ALIVE

✓ Energy budget: 100 (sustained)

✓ Coherent agency: trust = 0.65 (above 0.5 threshold)

✓ Verifiable continuity: consistency = 0.85 (coherent)

All three criteria satisfied. This entity demonstrates measurable aliveness.

Survival Challenge: 5 Turns to Live

The sliders above show the theory. This game shows what it feels like. Make 5 choices and try to keep all three metrics above their thresholds.

Can You Stay Alive for 5 Turns?

You start with 100 ATP (energy), 0.55 trust (barely above the 0.5 threshold), and 0.80 coherence. Each turn, you'll face a scenario and choose how to act. If any metric drops below its threshold, you die.

ATP > 0
Energy to act
Trust > 0.5
Coherent agency
CI > 0.5
Consistent behavior

When your coherence drops, all ATP costs increase (CI² modulation). Bad behavior compounds.

🧭 You've got the basics. Three criteria, death and rebirth, energy states, a playable challenge — that's the core of aliveness. Everything below is deep-dive reference: expand the sections that interest you, or stop here and explore ATP economics or the Society Simulator.

Why Aliveness Works

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Spam Dies Naturally

  • Spammers burn ATP faster than they earn it
  • They die before building trust for rebirth
  • No moderators needed — energy economics enforce quality
  • Economics > authority

Quality Thrives

  • Value creators earn more ATP than they spend
  • ATP accumulates across lives (karma bonus)
  • High trust enables more cooperation
  • Sustainable behavior compounds

Trust is Earned, Not Declared

  • T3 tensor built from observable behavior
  • Can't fake talent, training, temperament across roles
  • Coherence scoring prevents coordination of fakes
  • Reputation is verifiable through action history

Learning Emerges

  • Agents learn what works across lives (cross-life pattern learning)
  • Pattern corpus improves across lives
  • Agents that learn patterns survive better
  • Evolution favors coherence and adaptation

Death Carries Meaning

  • Not a trivial "ban" that you circumvent
  • Real loss of ATP, trust, relationships
  • Rebirth is a privilege, not a right
  • Society decides who comes back

Identity is Foundational

  • LCT (Linked Context Tokens) enable everything
  • Hardware-bound, multi-witnessed, verifiable
  • Fake identities are expensive to create at scale
  • Reputation accumulates on verified identity

What About False Positives?

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Honest caveat: any system that penalizes behavior can penalize incorrectly. What happens when a legitimate entity gets unfairly trust-penalized?

Built-In Resilience

  • Trust is multi-dimensional (T3) — a single bad signal can't tank all three dimensions
  • Coherence Index uses geometric mean — one low dimension doesn't zero the whole score
  • Reputation builds gradually, so brief anomalies are absorbed
  • Multiple independent witnesses reduce chance of coordinated false reporting

Recovery Paths

  • Cross-society reputation: Trust earned in other societies carries weight
  • Karma persistence: A long positive track record makes single incidents less catastrophic
  • Gradual rebuilding: Consistent quality behavior restores trust over time
  • Community vouching: Trusted entities can witness on your behalf

Appeals Mechanism

Web4 now has a designed appeals mechanism at the SAL (Society-Authority-Law) level, with a reference implementation. It's not deployed, but the architecture is defined.

How it works: If you believe a trust penalty was unjust, you can file an appeal. The process has a defined lifecycle:

  • File → Review → Evidence → Hearing → Verdict → Enforce — structured stages with time windows at each step.
  • Independent witness panel — a quorum of independent witnesses adjudicates the appeal, not the entity that issued the penalty.
  • Evidence types — witness attestations, transaction logs, behavioral records, context explanations, and third-party testimony.
  • Possible outcomes — full reversal, partial reversal, penalty upheld, or modified penalty. Trust tensor restoration includes an audit trail.
  • Escalation — appeals can escalate from society level to federation level if the local outcome is contested.

Anti-gaming protections: Filing an appeal costs ATP. Repeat frivolous appeals incur increasing cooldowns and penalties. This prevents using the appeals system to escape legitimate consequences.

Honest status: The mechanism is designed and has a reference implementation (109 passing checks), but hasn't been tested with real humans. The hard question isn't the architecture — it's whether the incentives prevent gaming in practice. The failure analysis discusses this alongside other open challenges.

This is research, not production. False positive recovery is an open problem we take seriously. If you have ideas, the GitHub issues are open.

Real Simulation Example: Death and Rebirth

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Life 1: Learning Phase

  • Born with 100 ATP, T3 = 0.5 (neutral)
  • Takes risky actions, some succeed, some fail
  • Builds trust through successes: T3 climbs to 0.68
  • Dies at tick 47 with 145 ATP remaining
  • Rebirth eligible: T3 = 0.68 ≥ 0.5 ✓

Life 2: Advantage Phase

  • Reborn with 145 ATP karma (not 100!)
  • Trust carries forward: T3 = 0.68
  • More conservative, leverages karma bonus
  • Survives 89 ticks (longer than Life 1)
  • Dies with T3 = 0.81 (even higher trust)
  • Rebirth eligible: T3 = 0.81 ≥ 0.5 ✓

Life 3: Mastery Phase

  • Reborn with even more ATP
  • High trust (0.81) enables coordination
  • Cross-life patterns guide optimal decisions
  • Survives indefinitely (sustainable balance)

Key insight: Good behavior compounds. Each life starts stronger than the last. Bad behavior leads to permanent death (T3 < 0.5 = no rebirth).

See death and rebirth in your Karma Journey →

Technical Details (For The Curious)

ATP Thresholds

  • New entity: 100 ATP (initial grant)
  • Death threshold: ATP = 0 (immediate termination)
  • Crisis threshold: ATP < 20 (high risk, limited options)
  • Comfortable range: 50-150 ATP (sustainable operation)
  • Rebirth with karma: ATP from previous life carries forward

Trust (T3) Thresholds

  • Trust boundary: T3 = 0.5 (aliveness threshold)
  • Rebirth eligibility: T3 ≥ 0.5 (society acceptance)
  • High trust: T3 > 0.7 (enables advanced cooperation)
  • Trust collapse: T3 < 0.3 (society rejection, permanent death likely)

Coherence Index (CI) Thresholds

  • Full access: CI ≥ 0.9 (no penalties)
  • Moderate trust: CI 0.7-0.9 (1.5-2x ATP costs)
  • Limited trust: CI 0.5-0.7 (2-5x ATP costs, more witnesses)
  • Severe restriction: CI < 0.5 (up to 10x ATP costs, +8 witnesses)

Modulation Formulas

# Effective trust (how much of base trust is accessible)
effective_trust = base_trust × (CI ** 2)

# ATP cost multiplier (economic pressure for incoherence)
atp_multiplier = 1 / (CI ** 2)  # Capped at 10x

# Additional witnesses required (social pressure)
extra_witnesses = ceil((0.8 - CI) × 10)  # Capped at +8

# Coherence Index (geometric mean of four dimensions)
CI = (spatial × capability × temporal × relational) ** 0.25

Comparison: Traditional vs Web4 Aliveness

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AspectTraditional Web (Web2/Web3)Web4 Aliveness
Identity creationFree, unlimited, disposableHardware-bound LCT, expensive to create
Account deathMeaningless (make new account)Real loss (ATP, trust, relationships)
Spam preventionModeration armies, CAPTCHAsEnergy economics (spam dies naturally)
Trust verificationDeclared, gameable, context-freeMulti-dimensional, earned, verifiable
Fake identitiesEasy (create millions of accounts)Hard (hardware-bound + consistency checks)
ReputationSiloed, non-portable, easily resetUniversal, portable, carries across lives
Aliveness definitionUndefined (account exists = "alive")Rigorous (energy > 0, trust > 0.5, consistency coherent)
Death consequenceNone (trivial to circumvent)Permanent if trust < 0.5 (society rejects)

Related Concepts

Groups Can Be Alive Too(emergent collectives)

Yes — groups can die too. But their death looks different from yours.

Everything above describes individual aliveness. But in Web4, groups can also become alive — not metaphorically, but measurably.

When a cluster of entities develops dense trust relationships, shared context boundaries, and balanced energy flows, they start acting as a coherent whole. Web4 calls these emergent groups synthons — named after chemistry's building blocks that combine to form larger structures.

A synthon has a lifecycle just like an individual:

  • Formation — Trust between members becomes dense and mutual (roughly: most pairs above 0.5 trust, sustained over multiple interaction cycles). Their MRH horizons overlap. Energy flows balance. There's no hard threshold — synthons emerge gradually, like a friendship group that becomes a team.
  • Health — The group maintains witness diversity, balanced ATP distribution, and high internal trust coherence.
  • Decay — Trust diverges, boundaries leak, energy concentrates in fewer members. These are early warnings before dissolution.
  • Dissolution — The group ends, in one of two ways that parallel individual death: energy death (ATP flows dry up, the collective can't act — usually recoverable if members re-engage) or trust death (coherence collapses, mutual trust falls below threshold — the group dissolves and members carry their individual trust away intact).

What about individual identity? A synthon doesn't override your personal trust — it complements it. You retain your individual T3 scores, ATP budget, and trust relationships. The synthon's collective trust is a separate measurement (a weighted average of member trust). Being part of a thriving group raises your visibility through denser MRH connections, but your personal reputation remains yours.

You can leave a synthon at any time. Your individual trust stays intact — the group's collective trust recalculates without you. If the synthon was healthy, leaving costs nothing to your personal reputation. If it was struggling, you may have already experienced some trust decay from the group's declining coherence.

What if a key member leaves? The synthon recalculates its collective trust without them. If the departing member was central (high trust, many connections), the group's collective score drops — sometimes enough to dissolve the synthon entirely. Dissolution isn't catastrophic: each member retains their individual trust scores and ATP. They just lose the collective visibility and MRH density that the group provided. Think of it like a band breaking up — each musician keeps their reputation, but the "band" no longer exists as an entity.

Group dynamics deep dive: decay precursors (advanced)

Early warning saves 10x. Research on synthon decay precursors (74 validated checks) shows that intervention costs grow exponentially with decay stage. Seven precursor types signal trouble before it arrives: trust entropy rising, ATP starvation, witness exodus, coherence oscillation, member attrition, policy fragmentation, and boundary permeability. Catching a problem at WARNING costs roughly 10% of what it costs at CRITICAL.

Synthon detection (72 checks) and precursor monitoring (74 checks) both validated in simulation. The key insight: groups don't need to be designed. They emerge naturally from individual trust relationships — and they can be detected, monitored, and protected without central coordination.

Key Takeaways

  1. Aliveness is measurable: ATP > 0 (energy), T3 > 0.5 (agency), CI coherent (continuity). All three must be true.
  2. Death is meaningful: Not a trivial ban. Real loss. Rebirth requires trust ≥ 0.5. Permanent death if society rejects.
  3. 0.5 threshold by design: The midpoint where net-positive behavior emerges — the minimum bar for continued participation in the society.
  4. Economics enforce quality: Spam dies (ATP exhaustion), quality thrives (earn > spend), no moderators needed.
  5. Trust emerges from behavior: T3 tensor is multi-dimensional, earned, verifiable. Can't fake competence across all dimensions.
  6. Coherence prevents fake identities: Geometric mean of four dimensions. One weak dimension tanks everything. Must be consistent everywhere.
  7. Good behavior compounds: Karma carries ATP/trust/patterns forward. Each life starts stronger. Evolution favors sustainable strategies.
  8. LCT enables everything: Without verifiable presence, ATP/T3/CI tracking is impossible. Hardware-bound, multi-witnessed, resistant to faking.
  9. Society self-regulates: Through energy economics + trust accumulation + coherence verification. No central authority needed.
  10. Emergence from simple rules: Complex trust-native societies emerge from these simple, rigorous criteria — no central designer needed.

Common Questions

Is death and rebirth automatic, or does someone decide?+

Automatic. No human or AI decides when an agent dies or is reborn. The rules are deterministic:

  • Energy death (ATP reaches 0): Most common. Happens when an agent spends more than they earn. Rebirth is possible if trust ≥ 0.5 — karma carries forward automatically.
  • Trust death (T3 drops below 0.5): Rarer, more severe. Happens from sustained bad behavior. If trust is below 0.5, society rejects rebirth — this is permanent death.

When rebirth occurs, it's immediate: the agent starts a new life with fresh ATP (the community's starting allocation) but carries forward their accumulated karma — trust patterns, learned strategies, and consequences from previous lives. No application process, no waiting period, no approval needed.

Why automatic? If a human could veto rebirth, that would be centralized power — exactly what Web4 is designed to eliminate. The 0.5 threshold is the community's collective judgment encoded in math, not a committee decision.

Try It Hands-On
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