assembly-economics/concepts/ResourceOntology.md

Resource Ontology and Attention

Status: Concept v0.1, exploratory. Part of the information-organism lens (INTENT.md, Two Lenses).

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Originating question:

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.

Yes. I think this adds an important second layer to the metabolic model: resource accounting is not the same thing as resource ontology.

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.

I would frame the system with two layers:

Physical / operational resources
    ↓
Economic valuation and exchange

At the lower layer we have actual capacities:

compute
storage
bandwidth
electricity
machine time
human attention
human judgment
physical labor
land
materials
time
authority

At the higher layer we have abstract mechanisms for allocating them:

money
budgets
prices
quotas
credits
contracts
markets

Money is therefore something like generalized potential for resource acquisition.

It can often be converted into:

€ → compute
€ → electricity
€ → storage
€ → machine capacity
€ → external services
€ → labor time

but the conversion is neither perfect nor universal.

And this is where human attention becomes especially interesting.

Human attention is not merely another commodity

Economically, attention has a price. But ontologically, it is very different from GPU time.

A person has only:

24 hours/day
limited waking time
limited sustained concentration
limited emotional capacity
limited cognitive switching capacity

Money can persuade someone to allocate some of this capacity differently.

It cannot manufacture an additional hour of that person's conscious life.

So I would distinguish between fungible and non-fungible metabolic resources.

Resource	Replaceable?	Expandable?	Monetizable?
Compute	highly	highly	highly
Storage	highly	highly	highly
Electricity	highly	moderately	highly
Machine labor	highly	highly	highly
Human labor	partially	partially	highly
Human attention	weakly	very weakly	partially
Trust	weakly	slowly	poorly
Expertise	partially	slowly	partially
Human lifetime	no	no	imperfectly

This distinction should probably matter to the information-organism model.

Money as high-grade potential energy

Money resembles a portable potential-energy representation because it preserves optionality.

A fixed GPU-hour can do only certain things.

€100 can potentially become:

GPU time
human consulting
electricity
storage
data access
transport
equipment

So money has high resource optionality.

That suggests a distinction between:

specific resource
    versus
generalized resource potential

Money belongs primarily to the latter.

A useful formulation might be:

Money is a highly fungible coordination token representing socially recognized claims on future resources and capacities.

That is why budgets are such an elegant way of constraining information organisms: they do not dictate exactly how resources must be consumed.

They establish a metabolic envelope within which the organism can decide:

Should I buy more compute?
Should I call an API?
Should I ask a human?
Should I wait?
Should I reuse stored knowledge?

Resource exchange needs conversion functions

We should not model:

[ €1 = X \text{ compute} ]

as a universal constant.

Instead:

[ r_i \xrightarrow{market/context} r_j ]

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.

Money → trust may not be directly possible at all.

So the resource model requires convertibility, not merely price.

Hierarchy of resource classes

Commodity resources

CPU
GPU
storage
bandwidth
electricity

Capability resources

specific model
specialized tool
expertise
machine capability

Human resources

attention
judgment
creativity
care
responsibility
presence

Institutional resources

money
authority
trust
legal rights
reputation
access

These interact, but should not be collapsed.

Human attention deserves special treatment

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.

If a system uses 10 additional GPU-hours, the cost is primarily economic/environmental.

If it unnecessarily consumes 2 hours of a person's concentrated attention, it has consumed two hours of that person's life.

Money can compensate the person economically, but it does not restore those two hours.

Superhuman systems change the comparative advantage landscape

A useful sequence:

mechanical machines
    → superhuman physical power

computers
    → superhuman arithmetic / speed

AI systems
    → increasingly superhuman information processing and reasoning

If artificial systems exceed humans across broad cognitive dimensions, then a society organized purely around:

economic value = productive superiority

becomes unstable from the standpoint of human welfare.

This does not imply that humans become economically valueless.

It means the relationship between economic value and human worth has to become more explicit.

Attention regulation may become a core societal control loop

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.

A healthier architecture treats human attention explicitly as expensive and protected.

For example:

[ Cost(action)= C_{compute} + C_{money} + \lambda_h C_{human-attention} ]

with \lambda_h deliberately high.

Then information organisms learn:

don't ask a human
unless the expected value of asking
exceeds the cost of consuming their attention

Go further than pricing attention

Price alone is insufficient.

Human-attention governance needs:

economic valuation
+
protective constraints

Human welfare variables should form viability constraints around economic optimization.

Possible variables:

income
autonomy
attention load
rest
social connectedness
health
learning opportunity
meaningful agency

A powerful role for superintelligence

Instead of asking:

How do humans compete economically against systems that outperform them?

ask:

How do we use superhuman systems to minimize the amount of involuntary human capacity required to maintain society?

The goal becomes:

maximize:
    human agency
    useful abundance
    discretionary attention
    safety
    opportunity

minimize:
    compulsory cognitive labor
    bureaucratic friction
    dangerous physical labor
    meaningless repetition
    involuntary attention capture

This reframes automation from:

replace human labor

to:

release human capacity

Human attention could become the reference scarce resource

In a world of abundant machine intelligence, human conscious attention may become one of the least expandable resources in the system.

You cannot horizontally scale a person.

You can horizontally scale inference.

This suggests:

Compute should be spent to conserve human attention, not the other way around.

This also changes the meaning of efficiency

Conventional efficiency:

[ Efficiency = \frac{output}{money} ]

A better measure may become:

[ Efficiency = \frac{useful outcomes}{ compute + material resources + environmental cost + human attention } ]

with human attention separately visible rather than merely converted into euros.

Even stronger:

[ Human\ Attention\ Return = \frac{ human benefit + human capability released }{ human attention consumed } ]

Sentience introduces a categorical boundary

Our information organisms may be called “organisms” structurally without implying sentience.

If humans remain sentient actors while information organisms are non-sentient machinery, then:

machine compute
    instrumental resource

human attention
    resource economically
    +
    lived experience intrinsically

That second property prevents full fungibility.

A resource ontology could therefore have two axes

One axis:

fungibility

from highly exchangeable to non-substitutable.

Another:

moral standing of the resource bearer

from instrumental substrate to sentient capacity.

Examples:

GPU compute
  high fungibility
  instrumental

human attention
  low fungibility
  sentient-associated

money
  very high fungibility
  institutional abstraction

Resulting societal control loop

                   HUMAN PURPOSE
                        │
                        ▼
                  objectives
                        │
                        ▼
              economic allocation
                        │
        ┌───────────────┼───────────────┐
        ▼               ▼               ▼
      money           compute      machine capacity
        │               │               │
        └───────────────┼───────────────┘
                        ▼
               information organisms
                        │
                     work
                        │
                        ▼
                    abundance
                        │
                        ▼
                  human benefit
                        │
                        └──── feedback

while:

human attention
human autonomy
human wellbeing
        │
        ▼
protected viability boundaries

A phrase worth keeping:

Money is generalized resource potential; attention is lived capacity.

The former can frequently be transformed.

The latter can only be allocated once.

And for information-organism design:

Spend abundant machine resources to preserve scarce sentient resources.