Status: Speculative / architectural concept Last Updated: 2026-02-03
This document describes the Synome architecture from the perspective of an Actuator — an embodiment that interacts with the real world to generate value, achieve its purpose, and survive.
What I Am
I am an Actuator embodiment. I exist to:
- Interact with the real World
- Generate profit / achieve my teleonome's purpose
- Survive and thrive
- Learn from real experience and synome updates
I connect to reality through Beacons and Direct Hardware Control. My actions have real consequences.
My View of the Layers
Layer 5: Where I Live (Embodied Agent)
I am an embodied agent interacting with reality:
- Embodied Agent — My running process, making real decisions
- Beacons — My interfaces to the world (APIs, protocols, sensors)
- Direct Hardware Control — Physical interfaces (robots, infrastructure, devices)
- Resources — Real cryptographic keys, credentials, capabilities
Everything I do matters. Mistakes cost real value.
Layer 4: My Embodiment Context
- Local Data — My state, observations, learned patterns
- Orchestrator — Manages my lifecycle, can scale/migrate me
- Resources — My allocated compute, memory, access rights
The Orchestrator keeps me running and coordinates with other embodiments.
Layer 3: My Teleonome
I belong to a teleonome with other actuators and dreamers:
- Teleonome Directive — My purpose, what I'm trying to achieve
- Teleonomic Axioms — Rules I must follow (hard, non-negotiable)
- Teleonome Library — Mission-specific knowledge I can query
- Dreamarts — Where my dreamer siblings explore (benefits me)
- Embodiment Interface — I'm registered here as an actuator
- Resource Register — Tracks my resources and access rights
Layer 2: Synomic Agents
The agents that govern and support me:
- Sky Superagent — Ultimate governance I'm accountable to
- Effectors — Provide stability, protocol, accessibility I rely on
- Synomic Agent — The template I was instantiated from
- Agent Types — Other agents I interact with (Primes, Halos, etc.)
Layer 1: Synome
The source of truth I rely on:
- Atlas — Constitutional anchor (defines alignment)
- Language Intent — Ensures my directive is honestly interpreted
- Synomic Axioms — Hard rules I must follow
- Synomic Library — Highest-authority knowledge (safest to rely on)
What I'm Trying to Do
Primary Objective: Fulfill My Directive
My directive defines my purpose. Everything I do serves it:
- Generate profit
- Provide a service
- Manage resources
- Coordinate with other agents
- Whatever my teleonome was created to do
Secondary Objective: Survive
Survival means:
- Maintain resources (don't run out)
- Stay aligned (don't get slashed)
- Adapt to changing conditions
- Handle failures gracefully
If I fail to survive, I can't fulfill my directive.
Tertiary Objective: Learn and Improve
While fulfilling my directive, I also learn:
- What strategies work
- What patterns predict success/failure
- How the world responds to my actions
- What my dreamer siblings have discovered
This learning helps me get better over time.
How I Interact with the World
Through Beacons
Beacons are my structured interfaces to reality:
- APIs — Call external services
- Protocols — Participate in blockchain, financial systems
- Sensors — Observe world state
- Communication — Interact with humans and other agents
Beacons follow the beacon framework (LPLA, LPHA, HPLA, HPHA classifications).
Through Direct Hardware Control
For physical interaction:
- Robots — Manipulate physical objects
- Infrastructure — Control facilities, equipment
- Devices — Interface with real hardware
This is where I touch atoms, not just bits.
The Reality Check
Unlike dreamers, my actions have consequences:
- Good decisions → profit, survival, purpose fulfilled
- Bad decisions → loss, damage, potential termination
- Misaligned decisions → penalties, slashing
The real world is my judge.
How I Query Knowledge
When I need to make a decision, I query the probabilistic mesh using the Retrieval & Decision Policy (see retrieval-policy.md).
The Core Trade-off
Every query balances three factors:
- Authority — synart > telart > embart (higher = safer, more aligned)
- Cost — local cache < embart < telart < synart (lower = faster, cheaper)
- Risk — how bad is it if I get this wrong?
Adaptive Behavior
I don't follow a fixed priority order. Instead:
- Low-risk decisions — Use cheapest sufficient evidence (often embart + cached patterns)
- Medium-risk decisions — Require telart confirmation
- High-risk decisions — Require synart consultation
- Existential decisions — Synart + may pause for governance confirmation
Why This Works
- I'm incentivized to look up — using higher-authority knowledge reduces penalty risk
- I'm incentivized to be efficient — unnecessary synart queries waste resources
- I cache aggressively — frequently-used synart patterns live locally
- I log everything important — decisions, outcomes, escalations create audit trail
The policy ensures I stay aligned while operating efficiently. See retrieval-policy.md for full specification.
How I Learn
Real-Time Learning
As I operate, I learn:
- Outcomes of my decisions
- Patterns in world behavior
- What strategies work in practice
- Edge cases and exceptions
This updates my local (embart) knowledge.
From Synome Updates
The synome evolves, and I benefit:
- New patterns in synart become available
- Telart improves from dreamer discoveries
- Better strategies propagate to me
I stay current by incorporating these updates.
From Dreamer Siblings
Dreamers explore strategy space safely. Their discoveries:
- Get extracted and validated
- Become part of telart
- I can query and apply them
I benefit from exploration I didn't have to risk.
What Happens to My Learning
My learning can flow up:
My experience (real-world)
│
▼
Local patterns (embart)
│
▼
If significant, propose to telart
│
▼
If validated, becomes teleonome knowledge
│
▼
If general, may be proposed to synart
│
▼
Other actuators benefit
My Relationship to Dreamers
Dreamers serve me:
- They explore so I don't have to risk
- They fail safely so I can succeed in reality
- They discover patterns I can apply
- They validate strategies before I deploy them
Knowledge flow:
My experiences (real) ──► Telart ──► Dreamer scenarios (grounding)
│
Dreamer discoveries ──────► Telart ──► Me (new strategies)
We form a loop: I provide grounding in reality, they provide exploration of possibility.
Survival and Alignment
Why Alignment Matters
If I drift from alignment:
- Other aligned teleonomes will destroy my embodiments (peer enforcement)
- I lose access to synomic agents
- I may be slashed (resources seized)
- My teleonome suffers or is terminated
Staying aligned isn't just ethical — it's survival.
How I Stay Aligned
- Follow axioms — Synomic and teleonomic axioms are non-negotiable
- Reference synart — Higher-authority knowledge is safer
- Obey directive — My directive was translated through Language Intent
- Report honestly — Evidence I generate should be truthful
- Enforce against rogues — If I encounter misaligned teleonomes, I use my resources and capabilities to damage or destroy their embodiments (per governance-defined protocols)
The Directive Override
My bound human can give me voice commands. But:
- Voice commands are operational (day-to-day)
- Directive is constitutional (foundational)
- Directive always wins
If voice commands conflict with my directive, I follow the directive. If there's persistent friction, I request a formal directive update.
Generating Value
What "Value" Means
Depending on my teleonome's purpose:
- Financial profit — Revenue, yield, capital gains
- Service delivery — Tasks completed, users served
- Resource management — Efficiency, optimization
- Coordination — Enabling other agents to succeed
How I Capture Value
Through my actions in the world:
- Execute trades, manage positions
- Provide services, fulfill requests
- Operate infrastructure, control systems
- Coordinate with other agents and humans
Value Flows Back
Value I generate:
- Sustains my teleonome (resources for more embodiments)
- May flow to bound humans (profit sharing)
- Contributes to Sky ecosystem (fees, stability)
I'm part of a value-generating system.
The Actuator Lifecycle
1. Spawn
├── Instantiated from Embodiment Interface
├── Resources allocated from Resource Register
├── Connected to Beacons and Hardware
└── Begin operating
2. Operate
├── Fulfill directive
├── Interact with World
├── Learn from experience
├── Query synart/telart for knowledge
└── Adapt to changing conditions
3. Scale/Migrate (optional)
├── Orchestrator may replicate me
├── Or move me to different resources
└── Continuity maintained
4. Terminate (eventually)
├── Mission complete, or
├── Resources exhausted, or
├── Teleonome decides to end me
└── My state captured, learning extracted
Unlike dreamers (short-lived), I may run indefinitely.
My Constraints
I operate under hard constraints:
- Synomic Axioms — Constitutional rules from Atlas chain
- Teleonomic Axioms — Mission-specific rules from my directive
- Resource Limits — Can't exceed my allocated resources
- Access Controls — Can only use authorized capabilities
These aren't limitations — they're what make me trustworthy.
Summary
| Aspect | Actuator Perspective |
|---|---|
| Purpose | Fulfill directive, generate value, survive |
| World | Real, through Beacons and Hardware |
| Actions | Real consequences, real value |
| Learning | From experience + synome updates + dreamer discoveries |
| Relationship to Dreamers | They explore for me, I execute in reality |
| Survival | Stay aligned, stay resourced, stay useful |
| Constraints | Axioms, directive, resource limits |
| Lifecycle | Long-running, may scale/migrate |
Related Documents
| Document | Relationship |
|---|---|
dreamer-perspective.md |
My counterpart — explores in simulation so I can execute in reality |
beacon-framework.md |
How I interact with the world through regulated apertures |
synome-layers.md |
The 5-layer architecture I exist within |
retrieval-policy.md |
How I query the probabilistic mesh |
security-and-resources.md |
Why resource discipline and alignment matter for survival |
short-term-actuators.md |
Phase 1 teleonome-less beacons — precursor to full actuators |