Louisiana has just announced that it will be the lucky site for a new Meta AI Data Center.
December 4, 2024•News Release
Meta Selects Northeast Louisiana as Site of $10 Billion Artificial Intelligence Optimized Data Center; Governor Jeff Landry Calls Investment ‘A New Chapter’ for State
RICHLAND PARISH, La. – Facebook and Instagram parent company Meta announced it will build a $10 billion artificial intelligence data center in northeast Louisiana, a transformational investment that cements the state’s status as a major innovation hub and puts this picturesque rural community on the leading edge of a global digital revolution.
Meta projects the data center will support 500 or more direct new jobs in Richland Parish. LED estimates the project will result in the creation of more than 1,000 indirect jobs, for a total of more than 1,500 potential new jobs in the Northeast Region. The company estimates 5,000 construction workers at peak of construction on the 2,250-acre former Franklin Farm megasite that sits between the municipalities of Rayville and Delhi, about 30 miles east of Monroe.
It’s like Louisiana just won a golden ticket to the new golden age economy of AI, robotics, and Smart Cities..a new digital utopia…(with lab-grown meat, plants, and presumably people), but I digress.
Governor Jeff Landry is elated about it, and why shouldn’t he be? It’s like he landed the sweepstakes or won the Bachelor and now gets to marry that rich, rich woman, Meta.
She comes with quite a dowry, right?
So what are the downsides?
Well, clean water usage is the real issue here.
Karen Hao has reported on this for the Atlantic magazine.
To dramatically show the impact of the data center’s usage of energy in the American Southwest, Hao hiked around a specific Microsoft data center.
I quote this section from the open notebook’s story on Karen Hao. Here is a link: karen hao AI data center
Hao’s hike around the data center, which left her sunburned and dehydrated, became the vivid lede of her story, “AI Is Taking Water from the Desert,” published in March 2024 in The Atlantic. The final story did include a crucial data point that Hao dug up on the Goodyear Microsoft facility’s water use: 56 million gallons per year, enough to supply 670 families in the region, a pre-construction estimate from an obscure study. But throughout the story, Hao’s reporting shines most in the dogged approaches she took to reveal the extent of the Goodyear center’s footprint, despite the company’s evasiveness: sifting through troves of city council meeting notes, filing public-information requests via the Freedom of Information Act (FOIA), pushing past terse answers during interviews, and, ultimately, leaning on the details she gathered from her personal experiences.
The bottom line is that AI will not save us, not socially, not educationally and not medically. We must be honored as human beings by the presence, attention and intelligence of other humans.
AI will not solve everything
I completely agree that AI is actually bad for climate change and social chaos because it is being used for data surveillance and the way it gets the data requires these behemoth data centers so that all of our data can be captured. It’s entirely unclear just how expensive this will be longterm and how odious it will be to have such ubiquitous surveillance especially when we realize the bio-sensors go inside the body and send the data to the AI.
It’s paradoxical and ironic that AI can be at the same time the primary accelerator of climate change in the world and the solution for climate change in the world. I think it all depends on what kind of AI we are talking about like Karen Hao says.
If the AI models have to have access to all of our data to save the planet than they will undoubtedly destroy the planet first. If we can give the AI the truest form of intelligence, common sense, then it will not need all of the books ever written but like 10-15 books, which is about how many books we need to read to become incredibly well-versed on a topic. Considering AI can do it in like 15 seconds, there’s certainly hope. It’s just that perhaps the profit margin needs to be removed so that the goal truly becomes empowering humans in the 21st century and saving the planet.
I agree with the London Guardian on the subject of Smart Cities using AI to solve our social and environmental problems all in one fell swoop—its bullocks mate!
Karen is right that AI cannot solve our social problems.
The truth about smart cities: ‘In the end, they will destroy democracy'
This is what the Guardian had to say about Smart Cities.
Google AI is not blinded to the notion that Smart cities can indeed spell the end of human democracy.
Smart cities, while aiming to improve quality of life, can face significant negative consequences related to privacy, security, and social equity. Concerns include increased surveillance, potential for data breaches, and the widening of the digital divide. Additionally, the high cost of development and infrastructure maintenance, along with the environmental impact of manufacturing and energy consumption, pose challenges.
Google AI notes that increased energy costs as well as the lack of transparency in the process are both downsides to smart cities as well as the environmental cost of the “electronic waste” and the cost to cool all the computers.
When computers come before children, we have a problem.
The concern is high in the UK as it obviously is all over the world where people understand that water is our most precious resource.
Concern UK's AI ambitions could lead to water shortages
This is from the BBC.
Ministers insist the notoriously power-hungry server farms will be given priority access to the electricity grid.
Questions have been raised about the impact this might have on the government's plans for clean energy production by 2030.
But less attention has been given to the impact data centres could have on the supply of fresh, drinkable water to homes and businesses.
Parts of the UK, in the south especially, are already under threat of water shortages because of climate change and population growth.
The government is backing plans for nine new reservoirs to ease the risk of rationing and hosepipe bans during droughts.
But some of these are in areas where new data centres are set to be built.
The first of the government's "AI growth zones" will be in Culham, Oxfordshire, at the UK Atomic Energy Authority's campus – seven miles from the site of a planned new reservoir at Abingdon.
The 4.5 sq mile (7 sq km) reservoir will supply customers in the Thames Valley, London and Hampshire. It is not known how much water the massive new data centres now planned nearby could take from it.
So we must prepare for the fight for the pro-human future where we expand to the stars and provide better opportunities for our children to expand their understanding of the universe first hand; and, certainly, AI could be a part of that; but, in my view, keeping people in smart cities where they have to borrow and rent and wait on drone delivery or self-driving cars and make sure that their social media is clear of any red flags is not a pro-human future. It is merely the vision of the technotronic elite, to use Eisenhower’s expression from his Military Industrial Complex speech. Indeed, this is the culminating vision of the military industrial complex because no humans have truly free speech or even free thought in a land where AI monitors everything.
Honestly it is this psuedo-commnunism that troubles me the most. Giant corporations are behind the smart cities. Old money networks and big tech corporations have made some kind of fascist conspiracy with the governments of the world and they have sold out we the People so that we are fed b******t like this from the WEF (World Economic Forum).
So here it is, by 2030, robots, drones, and ubiquitous facial recognition and body heat surveillance will be able to tell who you are and where you are at all times. Additionally, phones and devices like laptops and smart watches, and other wearables will have your level of interest and emotional arousal verified and sent to the data center, as well.
Lastly, the internal bio-sensors will have your kidney, liver and other vital organ data from the graphene-based bio-sensor network and your vaccine status will be updated by checking the quantum dot bio-luminescent sensors under your wrist, which might also be used to pay for items or even order from Amazon. Perhaps a Google glass device will be giving you your search query results as you telepathically relay and interface with your own personal AI. I suppose this is the goal or the dream for some, but I see it as an AI nightmare that the Bible warned us about, and I say we must fight it now at all costs!
Why? Because our very ability to achieve financial independence through home ownership, vehicle ownership and access to savings accounts will all come under threat. Our very human consciousness is being assaulted by Terahertz frequencies that signal to the self-assembling nano-technology inside of us to do something like upload data to the cloud or split into two and move to another place.
Indeed, graphene-based terahertz self-assembling bio-sensors are something Google can tell me quite a lot about. They have been working on these for a bit now, and it is amazing how they are poised and ready for bio-medical sensing.
Graphene-based terahertz (THz) self-assembling biosensors are a fascinating area of research with significant potential for various applications. Here's a breakdown:
1. What are they?
* Graphene-based THz biosensors: These sensors utilize the unique properties of graphene, a 2D material with excellent electrical properties and a large surface area, integrated with terahertz technology.
* Self-assembling: This refers to the ability of the sensor components, such as functionalized graphene and biomolecules, to organize themselves into desired structures, often through non-covalent interactions like π–π stacking, hydrophobic/hydrophilic interactions, and electrostatic attraction.
* Terahertz technology: Terahertz waves interact with biological samples by revealing their unique spectral "fingerprints," allowing for label-free and non-destructive detection.
* Biosensors: These devices combine a biological recognition element (e.g., antibodies, aptamers) with a transducer to detect specific biological or chemical substances.
In essence, these are advanced biosensors that leverage graphene's unique properties and terahertz waves to detect biological molecules, and some are designed to self-assemble into intricate structures for enhanced performance.
2. How do they work?
These biosensors typically work by immobilizing specific biomolecules on a graphene surface, which serves as a sensing platform. When the target analyte binds to the immobilized biomolecules, it alters the electrical or optical properties of the graphene, which is then detected by the sensor. In some designs, the binding of biomolecules can induce chemical doping, affecting graphene's optoelectronic properties and thus the THz response signal.
3. Why use graphene and self-assembly?
* Graphene's unique properties: Graphene offers excellent electrical conductivity, high surface area for biomolecule binding, and biocompatibility.
* Self-assembly advantages: Self-assembly allows for the creation of intricate and well-defined structures that can enhance sensitivity, specificity, and device performance. This approach can also lead to more cost-effective fabrication processes.
4. How could they be deployed?
These biosensors have the potential to be deployed in various settings, including:
* Medical diagnosis: They could be used for the early detection and diagnosis of diseases like cancer and infectious diseases, offering label-free and rapid analysis.
* Personalized medicine: Miniaturized and portable versions could enable personalized health monitoring, allowing individuals to track specific biomarkers.
* Environmental monitoring: Functionalized graphene-based sensors could detect pollutants and pathogens in real-time, aiding in environmental protection and food safety.
* Drug development: They could be used in drug discovery and development processes.
5. Challenges
Despite their immense potential, there are still challenges to overcome before widespread deployment, including:
* Scalability and cost-effectiveness: Producing high-quality graphene consistently at commercial volumes remains a challenge.
* Functionalization and integration: Achieving robust and reproducible functionalization of graphene with biorecognition elements is crucial for reliable performance.
* Performance consistency: Variations in surface chemistry and sensitivity to environmental factors can affect the reproducibility and reliability of the sensors.
* Specificity and selectivity: Preventing non-specific binding of non-target molecules in complex samples is important for accurate detection.
In summary, graphene-based terahertz self-assembling biosensors represent a cutting-edge technology with the potential to revolutionize various fields, particularly in diagnostics and monitoring, but further research and development are needed to overcome existing challenges and realize their full potential.
Google cautions me here, but I must remind you of Microsoft’s patent #0202060606
This patent application describes a cryptocurrency system that would use human body activity data as a form of "proof-of-work" to mine cryptocurrencies. Instead of the massive computation currently required by some conventional cryptocurrency systems (like Bitcoin), this proposed system would leverage data generated based on a user's physical activity to validate transactions or complete tasks within the cryptocurrency system.
Here's how it would generally work, according to the patent application:
* A server would provide a task to a user's device (which could be a personal computer, smart device, or wearable tech).
* A sensor, either attached to or integrated within the user's device, would sense their body activity.
* Body activity data would be generated based on the sensed activity.
* The cryptocurrency system would then verify if this body activity data satisfies specific conditions.
* If the data is verified, the system would award cryptocurrency to the user.
Examples of body activity data mentioned in the patent application include:
* Brain waves
* Body heat
* Body fluid flow
* Pulse rate
* Body radiation emitted from the user
The patent application suggests this system could reduce computational energy for the mining process and potentially make it faster. The user could potentially solve the computational problem "unconsciously.
If the powers or centralized bankers that be get their way, we’ll all have a centralized digital cryptocurrency tied to our physical actions, social media speech, and carbon footprint. We’ll all have little nano-crystal bio-photonic graphene-based sensors all through our body and a digital self that is minded by an AI that has access to all the body data and keeps track of our foot steps and our foot print and essentially takes away all our freedom.
Meanwhile we are so close to understanding the true telepathic nature of our human consciousness based upon water and light and here they are with their graphene 6-sided mark of the beast that will go into all of us and signal to the elite that we are now their servants. Well, not me and not my family! We don’t need high performance terahertz biosensors because we are already all connected. We are One!
High-performance terahertz biosensor utilizing a hybrid one-dimensional photonic crystal with liquid crystal and graphene components
* J. Bashiri,
* B. Rezaei,
* J. Barvestani &
* M. S. Zakerhamidi
Scientific Reports volume 15, Article number: 5784 (2025) Cite this article
Abstract
In recent decades, advances in biophotonics research have led to the development of numerous novel applications, particularly in the realm of diagnostic tools. Among these, one-dimensional photonic crystal biosensors have emerged as frequently utilized instruments for disease diagnosis and sensing. A significant body of research has focused on enhancing the efficiency of these biosensors. Recently, integration of Graphene and liquid crystal into a hybrid structure has been identified as a promising approach for the advancement of optical devices. This study presents a novel one-dimensional photonic crystal biosensor designed using the Kretschmann configuration, which incorporates Graphene nanolayers and a liquid crystal layer. The transfer matrix method was employed to calculate the projected band structure of the designed biosensor for different chemical potentials of the Graphene nanolayers.
Honestly, they are only one step away from being able to use this one-dimensional photonic crystal bio-sensor with the graphene nano-layers to be able to alter our consciousness and our thoughts. That is the hill we have to die on to save the future!
“Affix bayonets!” May our combined will signal to the Galactic Federation that we have united!
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