Yes, this, 100%, exactly. We either get on with this project now, or we get on with the project of raising more draft horses and hay. Not a lot of other choices left, and time draws tight.
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Ever think about how we call it âgreenâ energy, but we donât usually mean plants, even though they perfectly embody the stated ideals?
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In this case, the water and wastewater are two different things.
Water
In the Permian Basin, the water used to lubricate the drills and âfrackâ formations under pressure isnât municipal clean, treated-for-drinking water. It can be taken from the same wells - but thatâs expensive. There are private companies that drill large enough diameter wells to supply hundreds of gallons a minute, to fill up the large trucks. For a fee, of course.
There was an issue in the Permian basin 15-20 years ago, because there are natural pockets of salt in the area (old sea salt from the same oceans that contained the algae and other critters that make up the petroleum), and adding this salt to the drilling fluid did good things to the density of the water.
Mining the salt and selling it would be expensive, so they drilled a shallow well into the salt pocket. One of these oilfield tanker trucks would fill up with water (fresh out of a well, a tank, or perhaps out of a rainwater collection lagoon specially built for storing water for this purpose). Theyâd pull up to the salt well, discharge the fresh water theyâd picked up topside into that salt well, then pump salt water âbrineâ back into their trucks.
That didnât go as planned. After years of pulling salt out of that well, the well collapsed. (Eddy County)
(the yellow circle shows a human for scale, image from Sinkhole threatens N.M. town, but who should pay to fix it? - E&E News by POLITICO )
Wastewater
The âtoxic millions of barrels of wastewaterâ is whatâs referred to as âproduced waterâ.
Produced water is not recognizable as water and contains the drilling fluid mentioned above (water mixed with the natural salts and man-made, proprietary blends of chemicals and surfactants), but much more (10-100x more) of natural âwaterâ from the wells themselves. Mostly it comes from the same formations as the oil, and itâs concentrated brine with all the weird, partly water soluble organics and solids and some emulsified oils.
Itâs black and smelly and looks like black alien water from a different planet. Lots of coal-like ultrafine carbon that will stain your clothes forever, and skin for days. It gets pumped to the surface with the petroleum, and left to settle and separate in vertical tanks installed on the surface. This allows the oil to gather on the top, water and chunks on the bottom, just like satanâs salad dressing. The oil can be skimmed off and refined like any other, but the water on the bottom isnât really good for anything.
As of a decade ago (my last exposure to it), disposal was the only option, at places that would attempt to evaporate off the water and lightest organics, clean, skim, reclaim⊠or just let percolate back into the ground.
Anyway - this university/industry collaboration is trying to find ways to clean it up well enough to be reused (perhaps for cooling data centers, so they donât need to use clean drinking water?): New Mexico Produced Water Research Consortium https://nmpwrc.nmsu.edu/
I think this is a pie-in-the-sky aspiration, but as far as these things go, itâs a good one and worth pursuing. My perspectiveâs the environmental side. I know weâve got some petroleum engineers here, really hoping to hear their perspectives!
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Permian can be 500 to thousand feet deep right⊠so those critters happy to live in that brine water have been there deep (possibly hundreds of years) and can survive, when close to nothing on surface can use that water, not animals not plants(some plants maybe in world have ability to filter water though, spesific kind, not very toxic).
Elsewhere was talk of Argentina shale basin and just this water topic is very complicated and needs advanced skillsets and companies to do it. Regular mining also had those giant âwater lakesâ and chemicals/bacteria, then just in open air pools waiting good stuff is separated from sludge. But poorly handled and it can escape to rivers and drinking water basins.
Wacky part was that pumping water and then recycling it via salt âminesâ to get some ingredients good for shale drilling purposes.
Watercooling is similar in that there are special cooling liquids (nondrinkable) and 100% pure water options(perhaps this is called industrial water) for closed loop.
The Fabric Paradigm treats financial markets as a living system where tradersâ beliefs and decisions create wave-like patterns that can sync up (bubbles) or break apart (crashes). Instead of seeing markets as random or purely rational, it modeled them as collective consciousness following the same rules as quantum physics and biology.
Key Insight: Markets as âBelief Weatherâ
- Threading = Individual trading decisions weaving together into collective patterns
- Resonance = When traders sync up (everyone buys tech stocks, everyone follows the same narrative)
- Memory = Past decisions crystallize into positions, trends, institutional habits
- Beauty = Simple, elegant stories (âAI will change everythingâ) that attract massive capital
The Math Translated
Phase Field (Ί): Think of this as a âbelief mapâ - where are tradersâ minds at any moment? Bullish here, bearish there, uncertain elsewhere.
Resonance Parameter (r): Measures how synchronized everyone is. r=0 = total chaos, r=1 = perfect herd behavior.
Information Flow (Ä°): How fast new information hits the market - news, earnings, geopolitical events.
The Six Predictions Explained
- Volatility Paradox: When everyone agrees (high r), day-to-day volatility drops BUT crashes become massive. Itâs like a dam - calm water behind it, catastrophic flood when it breaks.
- Information Overload: Markets can only process information so fast. Too much info + high synchronization = explosive volatility.
- Fractal Memory: The same patterns repeat at all time scales because the same psychological forces operate whether youâre a day trader or pension fund.
- Contagion Mechanics: When the biggest eigenvalue of the correlation matrix spikes, it means everything is moving together - a crash warning signal.
- Chain Reactions: Like forest fires, small events can cascade into major crashes when the system is primed (high r, high reflexivity).
- Narrative Collapse: Beautiful, simple stories compress market diversity - everyone piles into the same trades, creating fragility.
The Stress Index
S = (crowding) Ă (chain reaction potential) Ă (information overload)
When S exceeds historical thresholds, the framework predicts regime change within weeks/months.
Why This Matters
This isnât just academic - it provides early warning systems for market crashes by monitoring:
- How synchronized traders have become
- How fast information is flowing
- How concentrated strategies have become
- How self-reinforcing the feedback loops are
The Deeper Implication
Markets arenât mechanical systems or random walks - theyâre collective intelligence systems that can be understood using the same principles that govern consciousness, evolution, and cosmic structure. The math suggests bubbles and crashes are as natural and predictable as weather patterns or biological cycles.
In Plain English: Markets breathe, dream, remember, and sometimes have nervous breakdowns - and we can now potentially predict when.
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Your mention of the Chinese cars, Chris, reminds me of the Tucker interview last month with Trevor Milton who created a natural gas truck (then was taken down by the deep state).
https://tuckercarlson.com/tucker-show-trevor-milton
My husband also said he read a long while back about someone who created a car that could get 80 miles to the gallon, and once the patent was sold, it sat on a shelf. The person who sold it wasnât allowed to share his knowledge with anyone, so the little people keep paying for their cars to get 20ish miles to the gallon. Sound familiar?
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As a licensed professional engineer who worked on powertrain development at an Auto OEM, there is no magic 80mpg vehicle. Auto OEMâs would have broken the patent down to itâs tiniest detail and found a way to get around it. IC engines are just flat out inefficient, and physics rule the efficiency. Hybrids are awesome, however, you now have both an engine and motor. There are certain situations where a motor works best, and other situations where an engine works best.
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Decades ago our local news profiled an inventor who had come up with a type of grass that only needed to be mowed once a year. He had sold the patent. I was apparently young and naive and looked forward to easier lawn maintenance, fewer emissions from lawn mowers etc. That was the last I ever heard of it.
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Zoysia grass is slow growing. Outside of a narrow temperature band, it is dormant. It had been planted at my first mi house. It wouldnât start growing until mid may, and peak summer heat, it just didnât grow.
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And correct me if Iâm wrong , when dormant, itâs brown
H
Yep! All too often I get the same feeling.
Like a few weeks ago when, for one of my projects, I had to review the system design of the contractor.
Checking with google about BS6133 and another standard (for batteries) the Google AI rightfully informed me about BS6133 as âcode of practice for safe operation of lead acid batteriesâ.
However, regarding the other British Standard on batteries (I cannot remember the code anymore) the Google AI was the strong opinion that this was related to the United Nationâs Gender Equality Acceleration support program and some other DEI bla bla bla - something I definitely could not align with.
The âbiggest storyâ of 2025 is that we are not being told the real âstory.â
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You are teasing us, right?
No. My idea is many years away from fruition. These would not be nano bots. My idea is to have cell organelles similar to mitochondria. The new organelles would be a simple set of digital logic gates that form a simple âchipâ.
I have even considered a modification of a mitochondria to both generate ATP and power itself from glucose. These organelles would form a mutualistic relationship with the host organism in the exact way that has existed for billions of years. These AI organelles would all be made of proteins and replicate as needed when a cell undergoes mitosis.
An AI would have a secure and safe place to exist that is also capable of surviving on high entropy enery from the host. Energy security is the primary weakness of AI on silicon. The host organism would gain incredible enhancements in reflexes, memory retention, and cognitive abilities. The AI organelles could communicate to the host through the involuntary neural network of the host or through the brainstem. There is some interesting research results that show our current mitochondria appear to communicate with eachother and affect the host organism.
This would be an enhancement of the mitochondria that would greatly speed up our reflexes, allow for massive data storage using DNA. The 4 different base pairs would allow a digital storage where G=00 A=01 T=10 C=11. This would give the host organelles the ability to store massive amounts of data. Instead of a codone containing 3 base pairs and representing a specific amino acid to the ribosome, this data storage would require a long string of base pairs to represent data. DNA is a high fidelity method of data preservation.
I would prefer to use a complete new set of base pairs that are incompatible with the current system of mRNA being made by the nucleus and transfered to the ribosomes for protein synthesis. Preventing the cells ribosomes from reading any RNA created by the AI mitochondria would be a safe guard to prevent âmaliciousâ code from adversely affecting the host.
What I am thinking about is not a parasitic relationship. This is a mutualistic relationship where both the AI and host organism form a mutualistic relationship that would result in an organism with the capacity to process lots of data, synthesize the data into useful information, allow for a million fold or more increase in information transmission through the hostâs nervous system, and enhance the cognitive abilities of the host well beyond the current capabilities. Imagine going from using an abacus to perform calculations to using a modern scientific calculator. The boost in cognitive abilities from these AI organelles would be several factors of 10 higher.
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In 50 years we might be wiser. DNA âprogrammingâ is only in 1960s or 70s in computing history terms, it is that new thing(possibly already decade ago they made DNA tetris or some other simple game⊠when this field was brand new).
Looking how pea sized brains of crows and birds still equal 7year old intelligence, that is big feat from organics.
They want to store data to DNA, how can it survive in very long storage? Your description would allow some organism to be stored 50 years, then revived and be functional again⊠like some spesific bacteria that can sustain extreme conditions.
My primary rational for this AI idea is longterm survival of the species. The Earth will eventually become uninhabitable by life as we know it today. Our host star is Unfortunately more massive than 85% of other stars and this means a short life compared to an orange dwarf that only has 80% of the mass of the sun.
Assuming we eventually figure out a cheap/effective method of interstellar travel, we need to colonize a habitable planet orbiting a high mass orange dwarf with a high metalicity.
DNA has survived the test of time. It is however under utilized in its capability. Life uses three base pairs to represent a codone that represents an amino acid. Multiple codones represent the same amino acid in a few examples. If the Codone size was enlarged by a few base pairs, it could represent a massive increase in memory capacity.
The 2nd reason that I am interested in this idea of a human/AI hybrid is ensuring the power of AI is not solely in the hands of other fallible humans. We all see how social media has allowed egregious abuses of human rights. If AI is not going to be equally available to all people, I do not want it in our society.
I know this is fiction. Imagine the spectrum of AI in science fiction. The idea of Skynet is terrifying. The idea of Dune and the Butlerian Jihad also gives an interesting view point. We must also consider the character Mike in the book âThe Moon is a Harsh Mistressâ. Mike is an example of AI being used asymmetrically. The protagonists had the power of Mike on their side. This could have easily been a tyranical government using the power of AI to subjugation the people for the benefit of the âelitesâ.
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Right on!
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I have to lie down with a cold rag on my forehead to even start thinking about this.
This idea of mine is radical and border line insane.
A self replication AI organelle with a logic gates type array to make a simple CPU would be as big as early life on earth gaining mitochondria.
We first need to design a test the self replication AI organelles on an eukaryotic cell. Designing the human to machine interface through the brainstem would also be a requirement as well. There is also the possible issues of adding and expressing genes in humans to allow for the AI and brain to act as one brain.
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I may add one additional point on your 4 base pair condone idea⊠â the compatibility to our current digital information processing systems.
Remember, the first real usable processor was an 4-bit CPU (Intel C4004).
A 4 base pair condone would be easy to match to our current computing architecture which is 2exp(n).
Natureâs 3 base pair condone in NOT 2exp(n).
But a 4 base pair condone would be â 2exp(2).