- MembraneModel, SeedKernel, EvolutionModel, MetabolismModel, ResourceOntology promoted verbatim from history/ with originating questions - NetworkObjectModel.md: implementation-neutral object model with invariants - Cross-lens notes applied from Glossary.md (T09) Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Assistant: claude-code Assistant-Model: opus Assistant-Process: 1494246@bnt-lap001 Assistant-Session: caf6de6f-f9e4-47ce-a584-49baa271fa4b
499 lines
12 KiB
Markdown
499 lines
12 KiB
Markdown
<!--
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Provenance: promoted verbatim from history/20261011-InitialExploration.md
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(lines 3776–4264, conversation dated 2026-10-06), including the originating
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question(s). Promoted 2026-10-12 under ASSEMBLY-WP-0002-T07. Consolidation
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happens in later commits; history/ keeps the original.
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-->
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# Resource Ontology and Attention
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**Status:** Concept v0.1, exploratory. Part of the information-organism lens (INTENT.md, Two Lenses).
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---
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**Originating question:**
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> Good, i like the substrate dimensions and the separation of substrate and nutrients. I especially recognized the phrases "Human attention is premium energy" and "Common economic resource". There is a connection between the idea of nutrition and money/cost but they are on different layers of abstraction. Money is an interesting form of high value energy that can easily be transformed into other forms. In the end it is an end towards other means. And it can not substitute human attention. Another point of view is that human attention is valued in economics and regulating this connection can go a long way to establish a healthy/happy situation for humans as scentient beings in economically efficient societies where several dimensions of human capacity are exceeded by super systems like power machines being more physically capable, computing machines providing superhuman speed calculations and not superintelligence providing superhuman reasoning capabilities.
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Yes. I think this adds an important second layer to the metabolic model: **resource accounting is not the same thing as resource ontology**.
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Money is extraordinarily useful because it acts as a highly fungible claim on many other resources, but it is not itself equivalent to those resources. Human attention makes that distinction especially visible.
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I would frame the system with two layers:
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```text
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Physical / operational resources
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↓
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Economic valuation and exchange
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```
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At the lower layer we have actual capacities:
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```text
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compute
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storage
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bandwidth
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electricity
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machine time
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human attention
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human judgment
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physical labor
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land
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materials
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time
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authority
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```
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At the higher layer we have abstract mechanisms for allocating them:
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```text
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money
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budgets
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prices
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quotas
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credits
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contracts
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markets
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```
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Money is therefore something like **generalized potential for resource acquisition**.
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It can often be converted into:
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```text
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€ → compute
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€ → electricity
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€ → storage
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€ → machine capacity
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€ → external services
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€ → labor time
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```
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but the conversion is neither perfect nor universal.
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And this is where human attention becomes especially interesting.
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### Human attention is not merely another commodity
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Economically, attention has a price. But ontologically, it is very different from GPU time.
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A person has only:
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```text
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24 hours/day
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limited waking time
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limited sustained concentration
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limited emotional capacity
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limited cognitive switching capacity
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```
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Money can persuade someone to allocate some of this capacity differently.
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It cannot manufacture an additional hour of that person's conscious life.
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So I would distinguish between **fungible** and **non-fungible metabolic resources**.
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| Resource | Replaceable? | Expandable? | Monetizable? |
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|---|---:|---:|---:|
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| Compute | highly | highly | highly |
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| Storage | highly | highly | highly |
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| Electricity | highly | moderately | highly |
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| Machine labor | highly | highly | highly |
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| Human labor | partially | partially | highly |
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| Human attention | weakly | very weakly | partially |
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| Trust | weakly | slowly | poorly |
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| Expertise | partially | slowly | partially |
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| Human lifetime | no | no | imperfectly |
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This distinction should probably matter to the information-organism model.
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### Money as high-grade potential energy
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Money resembles a **portable potential-energy representation** because it preserves optionality.
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A fixed GPU-hour can do only certain things.
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€100 can potentially become:
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```text
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GPU time
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human consulting
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electricity
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storage
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data access
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transport
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equipment
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```
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So money has high **resource optionality**.
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That suggests a distinction between:
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```text
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specific resource
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versus
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generalized resource potential
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```
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Money belongs primarily to the latter.
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A useful formulation might be:
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> **Money is a highly fungible coordination token representing socially recognized claims on future resources and capacities.**
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That is why budgets are such an elegant way of constraining information organisms: they do not dictate exactly *how* resources must be consumed.
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They establish a metabolic envelope within which the organism can decide:
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```text
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Should I buy more compute?
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Should I call an API?
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Should I ask a human?
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Should I wait?
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Should I reuse stored knowledge?
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```
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### Resource exchange needs conversion functions
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We should not model:
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\[
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€1 = X \text{ compute}
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\]
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as a universal constant.
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Instead:
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\[
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r_i \xrightarrow{market/context} r_j
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\]
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For example, money → compute may be cheap and predictable, while money → expert human attention depends on availability, willingness, relationship, urgency, expertise, time of day, and social norms.
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Money → trust may not be directly possible at all.
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So the resource model requires **convertibility**, not merely price.
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### Hierarchy of resource classes
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#### Commodity resources
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```text
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CPU
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GPU
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storage
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bandwidth
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electricity
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```
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#### Capability resources
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```text
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specific model
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specialized tool
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expertise
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machine capability
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```
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#### Human resources
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```text
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attention
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judgment
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creativity
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care
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responsibility
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presence
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```
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#### Institutional resources
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```text
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money
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authority
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trust
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legal rights
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reputation
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access
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```
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These interact, but should not be collapsed.
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### Human attention deserves special treatment
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> Human attention is a scarce, non-renewable-at-the-individual-timescale, semantically rich resource whose expenditure consumes part of a sentient being's finite lived experience.
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If a system uses 10 additional GPU-hours, the cost is primarily economic/environmental.
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If it unnecessarily consumes 2 hours of a person's concentrated attention, it has consumed two hours of that person's life.
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Money can compensate the person economically, but it does not restore those two hours.
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### Superhuman systems change the comparative advantage landscape
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A useful sequence:
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```text
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mechanical machines
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→ superhuman physical power
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computers
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→ superhuman arithmetic / speed
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AI systems
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→ increasingly superhuman information processing and reasoning
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```
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If artificial systems exceed humans across broad cognitive dimensions, then a society organized purely around:
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> economic value = productive superiority
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becomes unstable from the standpoint of human welfare.
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This does not imply that humans become economically valueless.
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It means the **relationship between economic value and human worth has to become more explicit**.
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### Attention regulation may become a core societal control loop
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An economically efficient artificial system might minimize compute cost, storage cost, and latency while externalizing interruptions, human review, decision fatigue, context switching, and emotional burden.
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A healthier architecture treats human attention explicitly as expensive and protected.
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For example:
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\[
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Cost(action)=
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C_{compute}
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+
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C_{money}
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+
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\lambda_h C_{human-attention}
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\]
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with \(\lambda_h\) deliberately high.
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Then information organisms learn:
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```text
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don't ask a human
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unless the expected value of asking
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exceeds the cost of consuming their attention
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```
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### Go further than pricing attention
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Price alone is insufficient.
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Human-attention governance needs:
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```text
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economic valuation
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+
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protective constraints
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```
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Human welfare variables should form viability constraints around economic optimization.
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Possible variables:
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```text
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income
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autonomy
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attention load
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rest
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social connectedness
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health
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learning opportunity
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meaningful agency
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```
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### A powerful role for superintelligence
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Instead of asking:
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> How do humans compete economically against systems that outperform them?
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ask:
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> How do we use superhuman systems to minimize the amount of involuntary human capacity required to maintain society?
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The goal becomes:
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```text
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maximize:
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human agency
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useful abundance
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discretionary attention
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safety
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opportunity
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minimize:
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compulsory cognitive labor
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bureaucratic friction
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dangerous physical labor
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meaningless repetition
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involuntary attention capture
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```
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This reframes automation from:
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```text
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replace human labor
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```
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to:
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```text
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release human capacity
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```
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### Human attention could become the reference scarce resource
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In a world of abundant machine intelligence, **human conscious attention may become one of the least expandable resources in the system**.
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You cannot horizontally scale a person.
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You can horizontally scale inference.
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This suggests:
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> **Compute should be spent to conserve human attention, not the other way around.**
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### This also changes the meaning of efficiency
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Conventional efficiency:
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\[
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Efficiency =
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\frac{output}{money}
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\]
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A better measure may become:
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\[
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Efficiency =
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\frac{useful outcomes}{
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compute +
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material resources +
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environmental cost +
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human attention
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}
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\]
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with human attention separately visible rather than merely converted into euros.
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Even stronger:
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\[
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Human\ Attention\ Return =
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\frac{
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human benefit + human capability released
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}{
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human attention consumed
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}
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\]
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### Sentience introduces a categorical boundary
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Our information organisms may be called “organisms” structurally without implying sentience.
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If humans remain sentient actors while information organisms are non-sentient machinery, then:
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```text
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machine compute
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instrumental resource
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human attention
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resource economically
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+
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lived experience intrinsically
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```
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That second property prevents full fungibility.
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### A resource ontology could therefore have two axes
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One axis:
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```text
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fungibility
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```
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from highly exchangeable to non-substitutable.
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Another:
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```text
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moral standing of the resource bearer
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```
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from instrumental substrate to sentient capacity.
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Examples:
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```text
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GPU compute
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high fungibility
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instrumental
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human attention
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low fungibility
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sentient-associated
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money
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very high fungibility
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institutional abstraction
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```
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### Resulting societal control loop
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```text
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HUMAN PURPOSE
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│
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▼
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objectives
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│
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▼
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economic allocation
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│
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┌───────────────┼───────────────┐
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▼ ▼ ▼
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money compute machine capacity
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│ │ │
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└───────────────┼───────────────┘
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▼
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information organisms
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│
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work
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│
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▼
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abundance
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│
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▼
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human benefit
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│
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└──── feedback
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while:
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human attention
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human autonomy
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human wellbeing
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│
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▼
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protected viability boundaries
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```
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A phrase worth keeping:
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> **Money is generalized resource potential; attention is lived capacity.**
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The former can frequently be transformed.
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The latter can only be allocated once.
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And for information-organism design:
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> **Spend abundant machine resources to preserve scarce sentient resources.**
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