Exponential Remediation of Civilization's Footprint

Since Elon Musk has recently come out against the economics of O’Neill’s space habitat approach to establishing space settlements, I thought it appropriate to replicate (hence backup against my quite plausible cancellation), here at Scanalyst, a back of the envelope economics approach for sea settlements I did in 2014 based, in part, on work I did with Diogenes Institute to come up with detailed macroengineering plan to economically convert all elex plant CO2 to food. The essential idea of this derivative sea settlement plan is to create partially self-replicating “cells” that rapidly exponentiate high value beachfront condominium real estate, sufficient to house 7 billion people with virtually zero environmental footprint.

I would beg artificial global warming skeptics to bear with me. One purpose of this is to provide a reductio ad absurdum of the idea that climate alarmists are serious since they won’t even consider this plan despite it providing a solution to every dimension of their concerns.

Exponential Remediation of Civilization’s Footprint


The extinction of the human race will come from its inability to emotionally comprehend the exponential function.” - Edward Teller

The greatest shortcoming of the human race is our inability to understand the exponential function.” - Al Bartlett

Below is a first-order (approximate) description of a fast (potentially very fast) doubling time system for remediation of civilization’s environmental damage. The fast doubling time drives exponential growth that could, at enormous profit and in under 15 years, drastically reduce civilization’s ecological impact while, incidentally, sequestering large amounts of CO2. It is not intended to overcome Dr. Bartlett’s accusation that sustainable growth is impossible and cornucopian thinking is “The New Flat Earth Society”. It is intended merely to argue that imminent environmental catastrophes may, with appropriate refinements and corrections of the described system, be averted within the time estimated for environmental catastrophes by some of the more pessimistic projections (usually several decades rather than a mere 15 years).

An important principle to keep in mind is that as baseload electricity costs decrease, recycling beats other sources of raw materials. This means that if one is targeting zero environmental footprint, the most compelling path is through lower baseload electric cost simply because recycling is more economical than waste.

Baseload electric generation in the following scenario is the Atmospheric Vortex Engine

…for these reasons:

  1. The AVE’s theory is quite basic and, if located in an environment with low winds, such as the tropical doldrums, quite representative of reality – hence projections based on it are likely to be sound for the tropical doldrums.
  2. AVE technology is scalable to hundreds of terawatts without significant environmental impact.
  3. The AVE, unique among prospective baseload electric generation systems, is inherently suited to scrubbing the atmosphere of pollutants.
  4. The AVE complements any baseload electric generation systems that produce waste heat (including prospective ones such as cold fusion, thorium breeder, hot fusion, advanced fission, solar collection, etc.) in that only the AVE can reach a virtually limitless heat sink of the very low temperatures required for high Carnot efficiency cogeneration.
  5. If located in the tropical doldrums and produced by rapid reproduction to macroengineering scales, the projected cost of a kWh of baseload electricity from the AVE, alone, drawing heat only from renewable oceanic heat, is, after the 16 doublings and industrial learning rate of 15%, on the order of a few mils (tenths of a cent of a USD) – 5 mils is a conservatively high figure using 10% learning rate.
  6. The AVE’s primary construction cost is structural materials which, given electric power are economically derived from in situ resources.

Another important principle to keep in mind is that civilization’s primary environmental impact is agriculture. The primary objective must be to reduce agriculture’s environmental footprint – where agriculture includes all sources of food to sustain civilized populations including not only land-based agriculture but also exploitation of natural fisheries. Moreover, if you focus on agriculture, you must focus on “primary production” – the photosynthesis of food calories (proteins, carbohydrates or oils).

Finally, it is important to co-locate human habitats with the primary production systems but this is of no avail if those habitats are not more attractive than current human habitats. People must spontaneously relocate to these systems where their wastes are recycled.

Overview of the Fast Doubling-Time System

The fast doubling time system is a tropical-doldrums, artificial floating atoll, sheltering a low sea state lagoon upon which floats algae photobioreactors of exceedingly high primary production for the food chain. The atoll is produced from in situ resources available in the air and ocean by the application of very low cost baseload electricity generated by an Atmospheric Vortex Engine, the primary structure of which is also produced from the same in situ resources, the electricity for which is from a pre-existing such AVE.

Cross Section Schematic of the Artificial Atoll – Not to Scale

A reference design is based on the 500MW capacity maritime AVE projected by AVE patent-holder, Louis Michaud. The projected percapita electric power use will be 4 times higher than the US at present in order to support total recycling with most energy for industry and transportation derived from electricity. This yields a near-zero environmental-footprint carrying capacity of 100,000 people per atoll. These 100,000 people enjoy not only beach front lifestyle but also sufficient population and density to substitute for current urban amenities.

The doubling time is potentially on the order of months, with an estimate of 3 months justified below.

A system with a 3 month doubling time could remediate the environmental impact of civilization’s 7 billion people in under 15 years.

If you have an emotional reaction against this “outrageous” claim, try to recall the words of Edward Teller and Al Bartlett about human emotions and exponentials (doubling times).

Emotions are no substitute for arithmetic.

The Fast Doubling AVEdenCrete Core

The core of the system is the electric power from the AVE coupled to a graphene ‘super-concrete’ production process. One such process is already on the market: EdenCrete™. Doubling time of the whole system is limited by the doubling time of the AVEdenCrete (core) because once an AVEdenCrete exists, the rest of the surrounding atoll can be constructed without increasing the doubling time of the system.

EdenCrete is lighter (because stronger), more water resistant and tougher than steel reinforced concrete. EdenCrete is a very good candidate for AVE arenas in general but is particularly well suited for the maritime AVE for a number of reasons, not the least of which is that the electricity from the AVE can be used to manufacture EdenCrete entirely from maritime materials available in the air, seawater and sand from the sea floor (EdenCrete requires 50% less sand than normal concrete and requires no rock aggregates).

The Calera process is a promising* way to create concrete (CaCO3) from electricity, air and sea water. The small amounts of carbon for the EdenCrete (fractions of a percent) is available from CO2 and can be extracted by a sub-process of the Calera process – a process in which very high pH media (NaOH) absorbs CO2 either from sea water or from air that is passing over its surface (as would be the case with the AVE). Magnesium is also available from sea water (at about 126GJ/tonne) with electric extraction and could form, along with carbon fiber parts, much of the remaining materials of an AVE, such as turbine blades. A Magnesium-Lithium alloy has been discovered that is resistant to saltwater corrosion according to Professor Michael Ferry of the UNSW. Graphene reinforced Mg has greatly improved structural properties: “The Young’s modulus, yield strength, and failure strain of extruded nanocomposite of magnesium composite reinforced with only 0.3 wt-% GNSs increased 131%, 49.5% and 74.2% respectively, over the unreinforced pure magnesium matrix”

The Calera process requires 3.3GJ of electricity to produce one tonne of concrete**. If a system design focused on self-replication (with human labor inputs of course) from in situ materials and AVE electricity, the doubling time of these maritime AVEdenCrete systems could be exceedingly short – hence the resulting AVE electricity cost brought much lower. Multiply that by macroengineering scales of unit production and industrial learning curve could reasonably be expected to bring electric cost well under 1cent/kWh.

The initial system could be constructed from a floating Calera 500MW input plant designed to be constructed primarily out of EdenCrete from Calera cement reinforced with graphene. To bootstrap the very first AVEdenCrete system, the 500MW input to that Calera plant could be 3 natural gas turbines from GE (GE9281F @ 217MW each and @ $40M each) floating on barges, fueled by LNG ships. These would be rented and the rental costs, paid for out of capital, rapidly amortized by subsequent rapid self-replication of the AVEdenCrete systems.

If we had a rough idea of how many cubic meters of EdenCrete a 500MW maritime arena would require, it would then be straight forward to calculate the amount of time the 500MW maritime AVE would have to run in order to manufacture its own EdenCrete construction materials.

A very rough calculation with some guesses of my own to illustrate how such a calculation would work using Unicalc:

A 200m diameter, 80m high AVE arena might be approximated as a cylinder with two circular “lids” – all averaging 1ft thickness. (For a more accurate approach, see Chapter 5 “A Comparison Between Shell Theory and FEA for a Truncated Dome” of “A Finite Element Analysis of the Monolithic Dome.”):

([{pi * (200 * meter)} * {80 * meter}] + [{2 * ([100 * meter]^2)} * pi]) * (1 * foot) ? meter^3
= 34472.067 m^3

So that’s the volume of EdenCrete required. Now the time required to produce that EdenCrete given 500MW input to a floating Calera plant given EdenCrete is 2.7tonne/m^3 and it takes 3.3GJ/tonne of Calera concrete (and that approximates the energy to produce the EdenCrete):

(34472.067 m^3/500MW);(2.7tonne/m^3);3.3GJ/tonne?days
([{34472.067 * (meter^3)} / {500 * (megawatt)}] * [{2.7 * ton_metric} / {meter^3}]) * ([3.3 * {gigajoule}] / ton_metric) ? …
= 7.1098638 days

This incredibly fast doubling time illustrates that raw materials are the least of our worries. Keep in mind, these constitute the majority of the materials that, otherwise, would need to be transported by ship thousands of miles to the tropical doldrums.

Let’s double that amount of EdenCrete to reproduce the floating Calera plant that is paired with each AVE, and double it again to account for inefficiencies and double it again to be on the safe side: we multiply by 2^3 = 8 – so that’s 57 days or about 2 months doubling time for the AVEdenCrete’s construction materials.

A doubling time of 2 months still seems ridiculously fast, but if modern automation and construction techniques, such as concrete printing, are applied, a reasonable argument can be made that the primary structure of this system need not be the limiting factor in reducing the doubling time. Other critical components such as machined parts, electronics, etc. are far smaller and can be transported much more easily from high production volume facilities. Ultimately these, too, would be incorporated into the system but such is not essential.

Lets tack on another 50% for various bottlenecks in the critical path of construction and we have:

Doubling time of 3 months.

Agriculture – The New Green Revolution

As has been previously discussed, the next green revolution will provide at least a factor of 10 lower area requirement for agriculture, based on floating photobioreactors. These photobioreactors require wave-break shelter from even moderate sea states – shelter naturally provided in the lagoon of an artificial atoll. In the tropical doldrums the primary production of agricultural feedstocks would be far higher than the annualized 35g/m^2/day measured for more northerly (Mediterranean) climates, but let’s stick with 35g/m^2/day to be conservative.

Although the total agricultural system would be aquaponic, yielding high-value produce in symbiosis with high value sea food, let’s look only at the sea food protein resulting from a food chain based on a natural species of algae: arthrospira platensis aka “spirulina”.

Spirulina consists of better than 50% protein. The trophic loss in fish aquaculture is approximately 2 to 1 – or about 2 units of feed for 1 unit of fish. Lets further say that an additional factor of 4 is required to provide a wide array of kinds of sea food – not just algae grazers like tilapia and sockeye salmon – including predator fish as well as invertebrates such as mollusks, crab, lobsters, shrimp, etc. Each square meter of photobioreactor’s primary production of algae is therefore reduced by a factor of 16 (50%(1/2)(1/4)) before it is consumed by humans. Each square meter therefore produces a little over 2 grams per day of human consumable food.

How big must the lagoon be to support the atoll’s population?

Well, first we need to know how big the atoll’s population would be and for that, we need to look at the per capita electricity consumption of the 500MW AVE capacity. Since we are positing electricity-intensive infrastructure for all energy needs, including replacing most raw materials with recycled materials, let’s increase the per capita electric consumption by a factor of 4 over the current US per capita electric consumption.

Each 500MW AVE could support a population of 100,000 people.

If that 100,000 people needed to consume 1lb of protein equivalent per day (remember we aren’t including fruits and vegetables that would be hydroponically produced in conjunction with the sea food production of the aquaponics system), then the photobioreactor area, hence the lagoon area, would need to be about:

([{(2 * gramm) / (meter^2)} / day]^-1 * [{(1 * poundm) / person} / day]) * (100000 * person) ? (kilo*meter)^2
= 22.6796 (km)^2
or about 23 square kilometers.

Assuming the atoll is perfectly circular, that represents a radius of:

sqrt((23 * [{kilometer}^2]) / pi) ? kilometer
= 2.7057582 km

So the atoll has a diameter of about 6km.

Closing the Deal With Tropical Beachfront Real Estate

A 6km diameter represents a potential of:

pi * (6 * [kilo
meter]) ? meter
= 18849.556 m

or about 20,000 meters of beach front real estate.

Recalling that each atoll’s population is about 100,000 people, that yields population density of about 5 per meter. This indicates a high-rise condominium beach front, as with Miami Beach. People have shown a clear preference for these kinds of urban beachfront environments.

Let’s therefore stick with that figure and calculate how many stories of family-of-four condominiums averaging 4000ft^2 each with 40ft of beachfront would be needed to accommodate this 5 people per beachfront meter population density. First, lets calculate how many people must be stacked on a 40ft beachfront to achieve 5people per meter:

([5 * people] / meter) * (40 * foot) ? people
= 60.96 people

Now let’s calculate how many stories this requires at one home per story:

60.96 people/(4people/story)?story
(60.96 * people) / ([4 * people] / story) ? story
= 15.24 story

Or about 16 stories in our beachfront condo.

Let’s pause a moment and consider the real estate value of a 4000ft^2 beachfront condo in a community of about 100,000 people. Miami Beach has a population of just under 100,000 and a 4000ft^2 beachfront condo there goes for an exorbitant $3 million. But if we slash that price by a factor of 10, does $300,000 sound exorbitant? Certainly it would be exhorbitant for impoverished families that we’re trying to convince to leave Africa to rewild that land. But such poverty-stricken families aren’t at the bleeding edge of new markets.

So let’s just talk about the world’s growing middle class population and estimate the real estate value of an atoll to that market:

([100000 * people] * [{3E5 * usd} / home]) * ([4 * people] / home)^-1 ? usd
= 7.5E9 usd

or about $7.5 billion.

The food value of the atoll, at approximately $300/person/month with a 12% zero amortization schedule has a present value of approximately:

([{(100000 * people) * (300 * usd)} / people] / month) * (100 * month) ? usd
= 3E9 usd

or $3 billion.

For electricity value, we’ll start by estimating the final unit electricity cost (after learning-curve) at approximately 5mil/kWh, to see where we’re headed but then back that off to a more reasonable estimate. So, with a 12% zero amortization schedule that final atoll electrical generation cost has a present value of approximately:

([{0.005 * usd} / {kilo
Wh}] * [500 * {mega*watt}]) * (100 * month) ? usd
= 1.825E8 usd

Let’s back that off by a factor of 6 to 30 mils/kWh (3 cents) for our middle class market, to a value of:

6*1.825E8 usd
= 1.1e9 usd

The real estate value, alone, of the atoll would dwarf its food production value, let alone the electric generation.

In other words, the value of the early atolls is dominated by their real estate value, with food value coming in second and electricity value negligible. As the number of atolls increase, the real estate value will decay along with the cost reductions with industrial learning curve. At the end of production, as third world, poverty-stricken populations migrate to their beachfront condos, the value of food and electricity relative to real estate, will dramatically increase even as absolute costs plummet.

Now let’s figure how long it would take for an AVEdenCrete to produce the EdenCrete for these beachfront condos.

Let’s say we want the 16 story condos to rest on a flotation platform that extends the beach 200 feet to the water and another 200 feet beyond that for the breakwater. We’ll let the lagoon-side terminate at only 100 feet. With the condos being 100ft in radial length, we have a total of 200ft+200ft+100ft+100ft of flotation platform in radial dimension. Since the condo’s weight determines the amount of water displaced to float it, we’ll estimate that first:

([{(40 * foot) + (100 * foot)} * {12 * foot}] + [{100 * foot} * {100 * foot}]) * (1 * foot) ? meter^3
= 330.74077 m^3

or about 400 cubic meters of EdenCrete per condominium with stories each 12 feet high and 1ft thick walls and ceilings/floors that are shared with adjacent condos.

The volume of EdenCrete per length of beachfront per condo is then:

(1000 * [meter^3]) / (100 * foot) ? (meter^3) / foot
= 10 m^3/ft

And for 16 stories it is obviously 160 m^3/(ft beachfront).

Given a EdenCrete density of 2.7tonne/m^3 we have:

160m^3/(ft beachfront);2.7tonne/m^3?tonne/(m beachfront)
([160 * {meter^3}] / [foot * beachfront]) * ([2.7 * ton_metric] / [meter^3]) ? ton_metric / (meter * beachfront)
= 1417.3228 tonne/(m beachfront)

That means the flotation platform has to displace approximately 1500m^3 of ocean water for each meter of beachfront.

Keeping in mind the 200ft+200ft+100ft+100ft of flotation platform in radial dimension, to displace that 1500m^3 per meter of ocean water we need:

([{(200 * foot) + (200 * foot)} + {100 * foot}] + [100 * foot])^-1 * ([1500 * {meter^3}] / meter) ? meter
= 8.2020997 m

or about 10 meters of air space below water for the entire radial length of the platform.

That means the flotation hull has to have a EdenCrete perimeter in the atoll’s radial dimension of about:

([{([200 * foot] + [200 * foot]) + (100 * foot)} + {100 * foot}] + [10 * meter]) * 2 ? meter
= 385.76 m

or about 400m (0.4 a kilometer).

Assuming this flotation vessel averages about 1ft thick the mass per beachfront length of the flotation hull is about:

([{1 * foot} * {400 * meter}] * [2.7 * ton_metric]) / (meter^3) ? ton_metric / meter
= 329.184 tonne/m

Adding that to the condominium’s mass we have:

1417.3228 tonne/m+329.184 tonne/m?tonne/m
([1417.3228 * ton_metric] / meter) + ([329.184 * ton_metric] / meter) ? ton_metric / meter
= 1746.5068 tonne/m

or about 2000tonne/m of EdenCrete per meter of beachfront real estate.

We haven’t yet accounted for the floating photobioreactors but it turns out that, despite the large area covered, they are relatively insignificant. Because they are inside a atoll, the sea state is negligible. Therefore, they can be constructed from 4mil polyethylene plastic in two layers between which is the growth medium.

8mil * (3km)^2 * pi ? m^3
= 5745m^3

Note that this is similar in volume to only a few meters of beachfront EdenCrete which, as is shown presently, takes about a day’s worth of electricity. Another way to estimate is as algae-based bioplastic derived from lipids. A 30% lipid algae, with 50% conversion to bioplastic can replace the 6km diameter photobioreactor once every year using only 4% of the photobioreactor surface for that purpose. The entire photobioreactor area can be produced and replaced every few years, with negligible economic impact.

How rapidly, then, can our 500MW AVEdenCrete produce the atoll’s EdenCrete at 2000tonne/m?

([{3.3 * (gigajoule)} / ton_metric]^-1 * [500 * {megawatt}]) * ([2000 * ton_metric] / meter)^-1 ? meter / day
= 6.5454545 m/day

or about 6m of beachfront real estate per day per AVEdenCrete.

How long would it take to complete the atoll?
20000(m beachfront)/(6m beachfront/day)?years
(20000 * [meter * beachfront]) / ([{6 * meter} * beachfront] / day) ? year
= 9.1324201 years

or about a 10 years to complete an atoll once its AVEdenCrete is producing its EdenCrete.

(At this point please note that it is likely feasible*** to build more than one 500MW AVEdenCrete by diverting early EdenCrete, that would ordinarily go into the atoll, toward constructing at least one more AVEdenCrete. This would bring the atoll completion time to 5 years instead of 10.)

Obviously there is a limited market for $3million condos, and 10 years is a long construction time, but, with automation brought on by industrial learning curve, the cost of beachfront condo real estate approaches the limit imposed by the cost of producing the materials which, by that time, is the levelized marginal cost of another AVEdenCrete.

A condominium has a material requirement (including flotation) of:

([2000 * ton_metric] / meter) * ([40 * foot] / [16 * condo]) ? ton_metric / condo
= 1524 tonne/condo

At 5mil/kWh this costs:

3.3GJ/tonne; 1524tonne/condo;0.005usd/kWh?usd/condo
([{3.3 * (gigajoule)} / ton_metric] * [{1524 * ton_metric} / condo]) * ([0.005 * usd] / [kiloWh]) ? usd/condo
= 6985 usd/condo

or about $7000 per family of four.

So How Do You Get To World Salvation In 15 Years???

Here’s how:

Each AVEdenCrete grows into an atoll supporting 100,000 people. The time it takes to exponentially reproduce the number of AVEdenCretes for 7 billion people is:

100000people*2^doublings = 7e9people

doublings = log2(7e9people/100000people)

doublings = log(7e9people/100000people)/log(2)

= 16.095067 doublings

And, as we recall, the doubling time for the AVEdenCrete was 3months, which means:

16.095067 doublings;3month/doubling?years

(16.095067 * doublings) * ([3 * month] / doublings) ? year

= 4.0237668 years

Or under 5 years until the last AVEdenCrete produced starts on constructing its atoll which, as we saw previously, takes 10 years to complete.

5 years plus 10 years is, through the miracle of addition:

15 years.

*The Calera process raises serious environmental acidification concerns. These can be reduced to the issue of disposal of chlorine evolved during electrolysis of sea salt. This is still a serious environmental issue that is addressed in a subsequent article. The estimated US capacity, alone, for CO2 geologic sequestration is greater than that which would be required to sequester all of the chlorine resulting from the global scale of this project – a project which not only sequesters virtually the same amount of CO2, but terminates further CO2 emissions, while restoring natural carbon sinks such as rainforests. Moreover, in situ geologic sequestration under deep ocean sedimentary layers may be viable.

**See footnote at Greenhouses Are Not the Next Green Revolution. The cost of deep sea dredging for sand is assumed to be similar to the energy cost of synthesizing CaCO3.

***The feasibility of additional AVEdenCretes during an atoll’s construction is limited by the thermal flow from the surrounding ocean water pulled in by downward convection of cooled water expelled from the AVE. It is reasonable to posit at least two 500MW AVEdenCretes would have the requisite heat flow just from the lagoon area being constructed. That amount of solar thermal power is:

(23 * [{kilometer}^2]) * ([300 * watt] / [meter^2]) ? megawatt
= 6900 MW

Or nearly 7GW, whereas the output of the AVE is 0.5GW – and that the Carnot efficiency of the 500MW AVE is estimated to be 12% which means even without resorting to inward flow of ocean water outside of the atoll, the electric power available is:

(12 * percent) * (7 * [giga
watt]) ? mega*watt
= 840 MW

So we are very close to the 1000MW for two 500MW AVEdenCretes per atoll, just from the prospective lagoon area. Since atolls would be spaced apart, there would be more than enough heat to support 1000MW.


Well, humans certainly do have trouble with exponentials (consider today’s earlier post on \int x^x dx), so let’s see how our emerging “super-human mechanical brains” handle it.

OpenAI chatgpt-gpt-3.5-turbo

Prompt: A small patch of duckweed (lemnoideae) is introduced to a backyard pond with an area of 50 square meters and receiving abundant sunlight. The weed is observed to double its coverage of the pond every day and after 45 days half the pond is covered. How long will it take before the entire pond is covered?

Response: Let’s start by finding out how much of the pond is covered after 44 days, since we know that after 45 days half the pond is covered.

On day 44, the duckweed would have covered 1/2 of the pond - 1/2 of 50 square meters = 25 square meters.

On day 43, the duckweed would have covered half of that area, or 12.5 square meters.

We can continue this pattern backwards, dividing the covered area in half each day:

Day 42: 6.25 square meters
Day 41: 3.125 square meters
Day 40: 1.5625 square meters

We can see that the duckweed will cover the entire pond on day 50, since on day 49 it will cover half the remaining area (0.78125 square meters), and on day 50 it will cover the other half.

Therefore, it will take a total of 50 days for the entire pond to be covered in duckweed.

gpt4all-j-v1.3-groovy (GPT4All open source)

Prompt: A small patch of duckweed (lemnoideae) is introduced to a backyard pond with an area of 50 square meters and receiving abundant sunlight. The weed is observed to double its coverage of the pond every day and after 45 days half the pond is covered. How long will it take before the entire pond is covered?

Response: It takes approximately 6 months for the entire pond to be covered by the duckweed.

Prompt: Please explain how this was calculated.

Response: The calculation is based on the information provided in the problem statement that states that half the pond is covered after 45 days, which means that the remaining area can cover twice as much area per day. Therefore, we divide the total area by 2 to find out how many days it would take for the remaining area to cover the whole pond. We then multiply the number of days by the amount of time it takes for one day to pass, which gives us the answer.

                        Try again.

Prompt: Same.

Response: It would take approximately 90 days for the entire pond to be covered by the duckweed.

Prompt: How was this calculated?

Response: The calculation was based on the observation that after 45 days, half the pond was covered, which means that the remaining area can cover twice as much in the same amount of time. Therefore, if the initial area of 50 square meters doubles each day, it takes 90 days to cover the entire pond.

OpenAI chatgpt-gpt4

Prompt: A small patch of duckweed (lemnoideae) is introduced to a backyard pond with an area of 50 square meters and receiving abundant sunlight. The weed is observed to double its coverage of the pond every day and after 45 days half the pond is covered. How long will it take before the entire pond is covered?

Response: Since the duckweed doubles its coverage every day, it will take just one more day to cover the entire pond after covering half of it. So, it will take 45 days + 1 day = 46 days to cover the entire pond.

Now we’re getting somewhere! Let’s ask GPT4 to take a crack at the larger problem.

Prompt: Please devise a plan for housing, feeding, and supplying the energy needs for a global population of 7 billion using artificial tropical sea settlements built from in situ materials and energy with the base of the food chain provided by algae cultivation. How long would it take to move the entire global population into these settlements?

Response: To create a sustainable plan for housing, feeding, and supplying the energy needs for a global population of 7 billion using artificial tropical sea settlements, we need to consider several factors such as the size of the settlements, the efficiency of algae cultivation, and the infrastructure needed to support the population. Here’s a proposed plan:

  1. Design and construction of artificial tropical sea settlements:
    a. Each settlement will be designed to accommodate approximately 100,000 people, requiring 70,000 settlements to house the entire global population.
    b. The settlements will be built using in situ materials such as sand, coral, and other local resources to minimize environmental impact and transportation costs.
    c. Each settlement will be designed with a combination of residential, commercial, and recreational areas, as well as facilities for education, healthcare, and waste management.

  2. Algae cultivation and food production:
    a. Algae will be cultivated in large, floating bioreactors that utilize sunlight and seawater to grow the algae.
    b. The algae will serve as the base of the food chain, providing a sustainable source of food for fish and other marine life.
    c. Aquaculture facilities will be established within each settlement to farm fish and other seafood for human consumption.
    d. Additional food sources, such as fruits and vegetables, can be grown using hydroponic or aeroponic systems within the settlements.

  3. Energy production and distribution:
    a. Renewable energy sources, such as solar, wind, and wave power, will be harnessed to provide electricity for the settlements.
    b. Energy storage systems, such as batteries or hydrogen fuel cells, will be used to store excess energy for use during periods of low energy production.
    c. A smart grid system will be implemented to efficiently distribute electricity throughout each settlement and minimize energy waste.

  4. Transportation and infrastructure:
    a. Water-based transportation, such as boats and water taxis, will be the primary mode of transportation within and between settlements.
    b. A network of underwater tunnels or bridges may be constructed to connect nearby settlements and facilitate the movement of goods and people.
    c. Satellite and wireless communication systems will be established to provide internet access and global connectivity.

  5. Implementation timeline:
    a. Assuming a construction rate of 500 settlements per year, it would take approximately 140 years to build all 70,000 settlements.
    b. The global population could be gradually relocated to these settlements as they are completed, with priority given to those living in areas with the highest risk of natural disasters or resource scarcity.

This plan is a high-level overview and would require further research, development, and collaboration among governments, private organizations, and local communities to successfully implement. However, it offers a potential solution for sustainably housing, feeding, and supplying energy to a global population of 7 billion using artificial tropical sea settlements and algae cultivation.


Quite a coincidence on the choice of 100,000/settlement.

It’s like a middle school kid with a homework assignment read, and then tried unsuccessfully to plagiarize my 2014 blog: Unsuccessfully because assigned a linear (rather than exponential) rate of construction “Assuming a construction rate of 500 settlements per year”.

But I suppose, if one were desperate, one could imagine that hidden in the “thought process” were the necessary exponential calculations that simply disagreed in a substantial way with my own, and then calculated an annual average over the exponentiation regime.