Mankind uses the mobile phone as a shovel to dig its own grave.
With very rare exceptions of conscious users. If you want to be one of them, you need to be informed and aware of how this thing works and how our enemies use it against us. And in order to become so, you need, among other things, to fully absorb what I’m about to show you.

Perceptive people over 40 years old have often sensed a rift in the logic of events last few years.
The powers that be occasionally commit apparently illogical and inexplicable acts, that later make sense in relation with other later events . Like a present response to unpredictable future events. Which is also illogical, unless they have a time-travelling machine, another illogical concept. So we often erase these senselessly convoluted connections from our minds just to maintain sanity.

The mind-trap there is the assumption of unpredictability.

Pre-scripted events and predictive programming are two ways to solve the predictability problem. But sometimes these don’t work either and there’s just no way you can draw a straight timeline and causality.

What if you don’t need to time-travel to see the future?

What if they can simulate it, then build it and tune it up?
Which means they can react to what you would’ve done if they didn’t REACT BEFORE THE CAUSE?
Remember those stories in media where morons get arrested for resisting arrest and they are too dumb to defend themselves. Add a topping of Minority Report for good taste.
And to soften the edges, what if they just can control your edge perception?
Here’s how:

The Sentient World Simulation (SWS) vs. Targeted Individuals
The Sentient World Simulation (SWS) can plant Cognitive Autonomous Agents inside your head

A Military Second Earth

By BRUCE STERLING / Wired JUN 25, 2007

SOURCE: Sentient world: war games on the grandest scale | The Register .

“Perhaps your real life is so rich you don’t have time for another.

“Even so, the US Department of Defense (DOD) may already be creating a copy of you in an alternate reality to see how long you can go without food or water, or how you will respond to televised propaganda.

“The DOD is developing a parallel to Planet Earth, with billions of individual “nodes” to reflect every man, woman, and child this side of the dividing line between reality and AR.

“Called the Sentient World Simulation (SWS), it will be a “synthetic mirror of the real world with automated continuous calibration with respect to current real-world information”, according to a concept paper for the project.

“SWS provides an environment for testing Psychological Operations (PSYOP),” the paper reads, so that military leaders can “develop and test multiple courses of action to anticipate and shape behaviors of adversaries, neutrals, and partners”.

SWS also replicates financial institutions, utilities, media outlets, and street corner shops. By applying theories of economics and human psychology, its developers believe they can predict how individuals and mobs will respond to various stressors.

“Yank a country’s water supply. Stage a military coup. SWS will tell you what happens next….

(((Yeah, and New World Order cybersoldiers are gonna be Warcrafting-out on awesome gizmoscapes like this while some nimble illiterate teen with a cheap assault rifle simply shoots them.)))

Raytheon demonstrates how their RIOT software illegally tracks you online (2010)

Sentient World Simulation: You’re In It Now

by Ken Korczak, 01.01.2023

A powerful ‘sentient’ computer simulation of billions of people and nations that ‘mirrors’ reality is up-and-running and likely tracking your every move

Artificial neural network with chip. Credit: mikemacmarketing / original posted on flickr (Wiki Commons Public Domain)

What if someone created a digital avatar of you and placed it in a massive simulation database –- and you knew nothing about it?

How would you feel about that?

Yes, while you are blissfully ignorant and unaware and just going about your normal life, your “simulated self” is now also going about its own life in a simulated global environment with most of the other eight billion other people inside a simulated planet earth.

Well, what if I were to tell you that this has already happened?

It has!

The server for this world simulation database –- that includes your avatar -– is actually located in (drumroll): Indiana!

That’s right!

It’s called the Sentient World Simulation (SWS). It is up and running, and housed in a building at Purdue University, West Lafayette, Indiana.

The SWS is the brainchild of Dr. Alok R. Chaturvedi, a professor of information systems who is also the founder and director of the SEAS Laboratory at Purdue’s Krannert School of Management.

SEAS stands for Synthetic Environment and Analysis Simulations.

Dr. Chaturvedi outlined his concept for the SWS in a 2006 academic paper titled:

Sentient World Simulation: A Continuously Running Model of the Real World: A Concept Paper

From the abstract of this document, the concept is explained this way:

“The goal of the Sentient World Simulation (SWS) is to build a synthetic mirror of the real world with automated continuous calibration with respect to current real-world information, such as major events, opinion polls, demographic statistics, economic reports, and shifts in trends.”

I should add that the “geography” of an area is modeled at multiple levels, including city, state, country, selected regions of interest and, of course, globally. Some categories for models include military, political, social, economic, informational and infrastructure nodes.

After publishing his 2006 concept paper, it didn’t take long for the thing to get up and running. By 2007, the SWS had already collected massive amounts of data in 62 of the 195 nations on Earth.

It is important to point out that the SWS is a project that was initiated by the U.S. Joint Forces Command.

Some believe, as does futurist Rebecca Hardcastle Wright Ph.D., that SWS has since advanced well beyond 62 countries in the 15 years since 2007 to now encompass most areas of the planet that matter and has swept up the majority of Earth’s 8-billion-person population.

IT’S NOT QUITE ‘THE MATRIX’ YET BUT …

Now let me clarify that your avatar in the SWS is not (probably not yet) a complete duplicate of yourself in terms of image or looks, and it does not possess self-aware consciousness as did Neo and his pals in the Matrix.

It is significant to note that the SWS team at Purdue maintains that they “do not create your identical likeness” and instead used a “depersonalized likeness.” They also say this depersonalized likeness is “not immediately identifiable” and “cannot be replicated.”

Even so, many may find it equally disturbing that each avatar in the SWS virtual reality universe does represent a thorough activity profile of who you are and what you are doing in the real world.

That’s because you are likely “feeding” your avatar every day whether you know it or not.

You do that by participating in the digital world. Every time you engage with cyberspace, the SWS vacuums up that data point and adds it to the profile of your avatar.

For example, when you make a purchase on Amazon, search for something on Google, do your taxes online, text a friend, pay a utility bill, use a debit card to pay for a meal at a restaurant –- that information is funneled to the SWS and your avatar is updated to reflect your ongoing lifestyle.

This creates a “predictive model” of you and tells SWS operators how you are likely to react in certain situations as well as how you will perform or act in a group dynamic situation.

WHY WAS THE SENTIENT WORLD SIMULATION BUILT?

Well …

Remember when former NSA computer consultant Edward Snowden went rogue in 2013 and fled to Hong Kong and then to the Russian Federation along with a treasure trove of highly classified intelligence files on the NSA’s massive global surveillance program?

This surveillance program involved mostly tapping and monitoring millions, if not billions of telephones and internet communication accounts. The overt rationale for the creation of this program was for counterterrorism.

Ostensibly, the NSA wanted to be able to identify terrorist chatter across the telecom and cybernetwork bandwidth as a way to identify and thwart possible major attacks against American interests.

National Security Agency HQ, Fort Meade, Maryland (Public Domain)

Snowden bolted because of the NSA’s ability to tap and monitor private citizens and everyday innocent Americans a fundamental violation of privacy, unconstitutional and the start of a bona fide “Big Brother” nightmare state.

Well, one might consider the SWS the next logical step. It is the NSA wiretap effort on steroids.

With this new system, the information gathering on all citizens of the world can go well beyond listening into their phone chatter, texting or email communications.

Rather, it collects a wide range of data points that essentially provides a complete profile of every person, including what they do, what they like, how they act in certain situations, and so on.

When all this information is dumped into one massive database –- in this case, an actual simulation program –- you not only have real-time data on every individual in every nation on earth -– you also now can massage the data in myriad useful ways.

That includes running gaming simulations on how vast populations will react to specific situations.

For example, let’s say the U.S. Department of Defense (DoD) would like to know how the population of the East Coast would react if they knew an enemy had released a deadly virus into the subway system of New York City.

The DoD folks would be eager to “game the scenario” of a bioweapons attack before it happened to that they, in turn, could formulate an effective response by knowing with a high degree of certainty how large populations of people would react.

As Dr. Chaturvedi writes in his concept paper:

“The ability of a synthetic model of the real world to sense, adapt, and react to real events distinguishes SWS from the traditional approach of constructing a simulation to illustrate a phenomenon. Behaviors emerge in the SWS mirror world and are observed much as they are observed in the real world.”

WHO USES SWS DATA?

As you might expect, the SWS has no lack of eager clients consisting of powerful government agencies, private entities and Fortune 500 companies. A short (and by far not exhaustive) list includes:

· The U.S. Department of Defense

· The U.S. Department of Justice

· Eli Lilly

· Lockheed Martin

· The U.S. Department of Homeland Security

Furthermore, SWS has found customers in everything from banks and financial institutions that use it to test psyop events — to Hollywood studios who want to “game out” audience reactions to proposed movie scripts and ideas.

The above is according to Hardcastle Wright in her book 2021 book, Exoconscious Humans. She also said the SWS was used to simulate a cough spreading inside an airplane during the height of COVID. (Exoconscious Humans, Page 160).

NSA poster, circa 1950s-60s (Public Domain)

IS THERE PUBLIC OUTRAGE?

There is some, but as far as I can tell, those sounding an alarm about the intrusiveness of the SWS are few and far between.

One person who is disturbed by the existence of the SWS is software specialist and cryptocurrency advocate Alireza Beikverdi. He wrote in a 2015 article for Cointelegraph.com:

“The project is dangerous and intrusive enough that one of its researchers even quit, citing concerns about the possibility of handing over such a dangerous weapon to a top-secret agency with little accountability.” (Source)

Beikverdi added:

“This not only invades our privacy but can also cause severe damage to society. Knowing that there is a copy of each of us in the virtual world, which can think and behave like us, and whose actions can be predicted by the authorities is a far more intimidating invasion. This will have a negative impact on societies by reducing trust between citizens and government, as well as among people — altering normal human behavior since the populace will be conscious of the fact that there is a copy of them in a virtual world without their consent.” (Source)

Others grumble about the SWS but also express a sense of inevitability. One example is the commentators over at the Everywhere You Go is Bullsh*t webcast. In this video, they state:

“As our lives move online, this (the SWS) is an inevitable part of that. We all want that feeling of safety and this kind of thing provides … and we allowed this to happen. I think as more people become aware that this is the reality of this intense kind of privacy breach is happening, I think eventually we are going to accept it and it is going to get worse — or there will be some kind of rebellion about it and it’s going to be a pretty interesting future.”

ONLY SCRATCHING THE SURFACE

Certainly, the existence of the Sentient World Simulation project at Purdue University has profound implications in and of itself.

However, in conducting research for this story, I quickly found myself drawn into a much deeper and more complex rabbit hole.

When you place the SWS into context with other current facets driving other kinds of technological determinism — such as the race toward fully self-conscious AI, the cybernetic manipulation/transformation of the human body, the transhumanism movement writ large — it becomes apparent that SWS is but one aspect of a rapidly evolving human sphere of fundamental transformations.

Thus, even if you loathe the idea of the SWS and want to implement social and/or political efforts to slow it down or kill it — you’ll be up against an array of technological/social initiatives of profound scope, character, variety and purpose.

Can anyone stop it, or even opt out? That won’t be easy.

CIA’s Gus Hunt On Big Data: We ‘Try To Collect Everything And Hang On To It Forever’

The CIA Wants Big Data — All Of It

By Matt Sledge / Huffington Post, Mar 20, 2013

NEW YORK — The CIA’s chief technology officer outlined the agency’s endless appetite for data in a far-ranging speech on Wednesday.

Speaking before a crowd of tech geeks at GigaOM’s Structure:Data conference in New York City, CTO Ira “Gus” Hunt said that the world is increasingly awash in information from text messages, tweets, and videos — and that the agency wants all of it.

“The value of any piece of information is only known when you can connect it with something else that arrives at a future point in time,” Hunt said. “Since you can’t connect dots you don’t have, it drives us into a mode of, we fundamentally try to collect everything and hang on to it forever.”

Hunt’s comments come two days after Federal Computer Week reported that the CIA has committed to a massive, $600 million, 10-year deal with Amazon for cloud computing services. The agency has not commented on that report, but Hunt’s speech, which included multiple references to cloud computing, indicates that it does indeed have interest in storage and analysis capabilities on a massive scale.

The CIA is keenly interested in capabilities for so-called “big data” — the increasingly massive data sets created by digital technology. The agency even has a page on its website pitching big data jobs to prospective employees.

Hunt acknowleded that at some scale, data storage becomes impractical, adding that he meant “forever being in quotes” when he said the agency wants to keep data “forever.” But he also indicated that he was interested in computing capabilities like 1 petabyte of RAM, a massive capacity for on-the-fly calculations that has heretofore been seen only in computers that simulate nuclear explosions.

He referenced the failure to “connect the dots” in the case of Umar Farouk Abdulmutallab, the “underwear bomber” who was able to board a plan with an explosive device despite repeated warnings of his intentions. In that case, a White House review found that the CIA had all of the data it needed to identify the would-be bomber, but still failed to stop him. Nevertheless, the agency does not seem to have curbed its ambitions for an endless amount of data.

A slide from Hunt’s presentation.

“It is really very nearly within our grasp to be able to compute on all human generated information,” Hunt said. After that mark is reached, Hunt said, the agency would also like to be able to save and analyze all of the digital breadcrumbs people don’t even know they are creating.

“You’re already a walking sensor platform,” he said, nothing that mobiles, smartphones and iPads come with cameras, accelerometers, light detectors and geolocation capabilities.

“You are aware of the fact that somebody can know where you are at all times, because you carry a mobile device, even if that mobile device is turned off,” he said. “You know this, I hope? Yes? Well, you should.”

Hunt also spoke of mobile apps that will be able to control pacemakers — even involuntarily — and joked about a “dystopian” future where self-driving cars force people to go to the grocery store to pick up milk for their spouses.

Hunt’s speech barely touched on privacy concerns. But he did acknowledge that they exist.

“Technology in this world is moving faster than government or law can keep up,” he said. “It’s moving faster I would argue than you can keep up: You should be asking the question of what are your rights and who owns your data.”

US Govt Develops a Matrix-Like World Simulating the Virtual You

ALIREZA BEIKVERDI, COINTELEGRAPH, MAY 05, 2015

Picture a parallel virtual world that collects information on our virtual identities in real time, tracks our behavior, and is smart enough to interpret this data to simulate a virtual YOU on its own.

It is not surprising that data in the Information Age can be extremely valuable, even a source of power. Now picture a parallel virtual world that collects information on our virtual identities in real time, tracks our behavior, and is smart enough to interpret this data to simulate a virtual YOU on its own. This is exactly the concept of Sentient World Simulation (SWS) that was proposed in a paper by a few researchers in 2006, which has since largely flown under the radar.

Sentient World Simulation

SWS is one of the ongoing projects by secret agencies and organizations such as the NSA. In fact, these organizations have a long history of always seeking new technologies to process a continuous stream of information about the population. However, SWS differs from other information aggregators such as Google in that this technology actually simulates us, while taking our personalities into account, in a parallel virtual world.

SWS is actually a continuously running, continually updated mirror model of the real world in parallel on a computer, designed to predict and evaluate future events and courses of action. Put simply, SWS is a virtual mirror of the real society where individuals, leaders, organizations and institutions are simulated according to real data. The geography of a society is modeled at various levels including city, province, country, region, and world in terms of political, military, economic, social, information and infrastructure nodes.

SWS uses Synthetic Environment for Analysis and Simulation (SEAS), which is designed to be agnostic to the type of simulations and choice of models in order to allow experimentation in the context of multiple and potentially conflicting theories and predictions.

In a complex scenario, a single theory from SWS doesn’t give comprehensive information about the case. It requires a different analysis from different perspectives of the same phenomena by combining all the theories. It’s developed in a way where each component and theory is built on the previous, serving as stepping stones in the development of SWS.

Global Research reported that “U.S. defense, Intel and homeland security officials” are involved in constructing this project. With all the massive data collections, and also all the records from the Internet, SWS has the potential to predict the answers to many complicated queries, as it gets more intelligent the more information it is fed.

Watched Over by Machines

The project is dangerous and intrusive enough that one of its researchers even quit, citing concerns about the possibility of handing over such a dangerous weapon to a top secret agency with little accountability.

Back in 2009, PBS Nova reported:

“With the entire Internet and thousands of databases for a brain, the device will be able to respond almost instantaneously to complex questions posed by intelligence analysts. As more and more data is collected — through phone calls, credit card receipts, social networks like Facebook and MySpace, GPS tracks, cell phone geolocation, Internet searches, Amazon book purchases, even E-Z Pass toll records — it may one day be possible to know not just where people are and what they are doing, but what and how they think.”

This not only invades our privacy but can also causes severe damage to society. Knowing that there is a copy of each of us in the virtual world, that can think and behave like us, and whose actions can be predicted by the authorities is a far more intimidating invasion. This will have a negative impact on societies by reducing trust between citizens and government, as well as among people — altering normal human behavior, since the populace will be conscious of the fact that there is a copy of them in a virtual world without their consent.

Another thing in the back of everyone’s minds could also be the possibility of a virtual copy doing something that you are doing right now. Perhaps a simulated version of me has actually written this article? The line between actual reality and virtual reality will surely blur as more and more information is collected.

Some people may argue that SWS could also be a beneficial tool for governments and secret agencies to use to prevent terrorism and predict incidents by simulating them in a mirror world. Moreover, these type of models are often justified by the phrase: “If you have nothing to hide, then you have nothing to fear.” This phrase has always been the excuse of those who want to downplay increasing threat of a surveillance state and imply guilt for those who express concern.

But while massive data gathering and simulation models could indeed have their benefits for society. Such is the double-edged sword of most breakthrough technology. The centralized control of personal and social information by a single entity gives it immense and unprecedented power.

Decentralization

Blockchain architecture could be used to create a decentralized data network that would not give any particular entity control, mitigating the risk of data misuse. Decentralization, by not giving an advantage to any one entity, is a viable solution that can save us from horrible future scenarios.

While this system is certainly more difficult to build and implement, as it requires the involvement of a lot of people, a decentralized data network not only guarantees and makes sure that the technology isn’t used against the interests of the majority of the population, but also reduces the possibility of censorship, facilitating free speech

Any new technology can be used for both good and evil. Nevertheless, if these technologies are used transparently and in a way that reduces the possibility of manipulation and centralized control by bad actors, then the relationship between people and their representative government would be drastically improved. Perhaps then we would be able to attain greater individual privacy and realize the vision of Edward Snowden, who described his childhood:

“I grew up with the understanding that the world I lived in was one where people enjoyed a sort of freedom to communicate with each other in privacy, without it being monitored, without it being measured or analyzed or sort of judged by these shadowy figures or systems, any time they mention anything that travels across public lines.”

How the Government Predicts The Future – Inside the “Sentient World Simulation”

by James Corbett
BoilingFrogsPost.com
July 4, 2012

Podcast: Play in new window | Download | 

The NSA’s illegal warrantless wiretapping program. The building of the massive NSA data center in Utah to permanently store copies of all digital communication sent around the world. The UK government’s “Communications Data Bill” to monitor emails, instant messages and other personal information. What was dismissed as crazy conspiracy theory just over a decade ago has become, in this post-9/11 era, the all-too-familiar stuff of newspaper headlines and talking head reportage.

In fact, it was about a decade ago that the tactic of the intelligence agencies seemed to change. Instead of keeping their activities classified–referring to the NSA as “No Such Agency,” for example, or officially denying the existence of Echelon–the government increasingly began shoving this information in the public’s face.

Perhaps the scariest thing about something like the Total Information Awareness Office is not merely that it was proposed in the first place, or that it incorporated such blatantly creepy Orwellian imagery to convey its true nature and purpose, but that, as we sit here 10 years later, and as the core functions of the TIA office are now being openly performed by the NSA, DHS and other governmental agencies, people are now actively making excuses for this nightmarish police state.

“If you have nothing to hide then you have nothing to fear” has always been the rallying cry for those who are too afraid of questioning presumed governmental authority to speak out against the surveillance state and the implied assumption of guilt that goes along with it. With feigned bemusement these moral midgets inevitably ask “What’s so bad about the government spying on you, anyway?”

The answer, of course, is that the very question implies that the agencies tasked with carrying out this constant Big Brother surveillance are themselves above reproach, shining lights of moral rectitude who would never abuse this incredible power for nefarious ends. For the unimaginative out there, Hollywood yarns like “Enemy of the State” have provided fictional examples of what can go wrong if someone, somewhere, abuses this power of information and surveillance to target an innocent person in the wrong place at the wrong time.

To be sure, the power that these technologies give for agencies, or corrupt groups within those agencies, to destroy the lives of targeted individuals, is itself a fitting answer to the question of why government surveillance should be troubling to us. But beyond what can happen to specific, targeted individuals in such a scenario, however, is a much larger question: What if this data, our emails, our phone calls, our credit card transactions, our social media posts, our cell phone GPS logs, and all of the hundreds of other pieces of data that are admittedly being collected on us every day, were being fed into a database so gargantuan it contains a digital version of every single person on the planet? And what if that database were being used by the Department of Defense to war game various scenarios, from public reactions to natural disasters to the likelihood of civil unrest in the wake of a declaration of martial law?

Remarkably, this is precisely what is happening.

It is called the “Sentient World Simulation.” The program’s aim, according to its creator, is to be a “continuously running, continually updated mirror model of the real world that can be used to predict and evaluate future events and courses of action.” In practical terms that equates to a computer simulation of the planet complete with billions of “nodes” representing every person on the earth.

The project is based out of Purdue University in Indiana at the Synthetic Environment for Analysis and Simulations Laboaratory. It is led by Alok Chaturvedi, who in addition to heading up the Purdue lab also makes the project commercially available via his private company, Simulex, Inc. which boasts an array of government clients, including the Department of Defense and the Department of Justice, as well as private sector clients like Eli Lilly and Lockheed Martin.

Chatruvedi’s ambition is to create reliable forecasts of future world events based on imagined scenarios. In order to do this, the simulations “gobble up breaking news, census data, economic indicators, and climactic events in the real world, along with proprietary information such as military intelligence.” Although not explicitly stated, the very type of data on digital communications and transactions now being gobbled up by the NSA, DHS and other government agencies make ideal data for creating reliable models of every individuals’ habits, preferences and behaviors that could be used to fine-tune these simulations and give more reliable results. Using this data, the SEAS Laboratory and its Sentient World Simulation offshoot are able to create detailed, operable real-time simulations of at least 62 nations. “The Iraq and Afghanistan computer models,” according to a 2007 Register report on the project, “each has about five million individual nodes representing things such as hospitals, mosques, pipelines, and people.”

At the time of initial reports on the program five years ago, there were only 62 country-level simulations being run by the US Department of Defense. These simulations grouped humans into composites, with 100 individuals acting as a single node. But already at that time, the US Army had used the systems to create a one-to-one level simulation of potential Army recruits. The ultimate aim would be to archive enough data on each individual to be able to make a computer model of everyone on the planet, one that could be used to predict the behaviors and reactions of every single person in the event of various scenarios.

The program can be used to predict what would happen in the event of a large scale tsunami, for example, or how people would react during a bioterror attack. Businesses can use the models to predict how a new product would fare in the market, what kind of marketing plans would be most effective, or how best to streamline a company’s organization.

The original concept paper for the project was published in 2006 and in 2007 it was reported that both Homeland Security and the Defense Department were already using the system to simulate the American public’s reaction to various crises. In the intervening five years, however, there has been almost no coverage at all of the Sentient World Simulation or its progress in achieving a model of the earth.

There is a very good chance that these types of systems are, at least for the moment, pure quackery. Computers are only as valuable as their programming, after all, and the algorithms required to accurately predict responses in chaotic systems with multiple, dimly-understood variables is orders of magnitude beyond what is currently possible. Or is it? One of the great ironies of our time, as Glenn Greenwald goes on to point out in his speech on the surveillance state, is that although we live in a time when it is possible for nebulous government agencies to know every detail of your life, from what you ate for breakfast to where you shopped last night to who your friends are, we are also living in an age of unprecedented ignorance about what are our own governments are actually doing.

This is the heart of the matter. Somehow we are expected to go along with the sophomoric sophism that “If we have nothing to hide then we have nothing to fear,” yet at the same time we are asked to believe that the government must keep all manner of information secret from the public in order to carry out its work of “protecting” that public.

If the government has nothing to hide, then why doesn’t it release the notes, memoranda and findings of the 9/11 Commission in full and unredacted?

Why doesn’t it release the records of the JFK assassination investigation instead of arguing, as it is, that those records should once again be removed from a declassification review that is to take place in 2013, 50 years after the assassination itself took place?

Why doesn’t it release the full audit trail of what banks received the emergency TARP funds and in what amounts?

Is it because, after all, the government does have something to hide from the public that are its ostensible masters? Is it because the old maxim that “Knowledge is power” is more true than we could ever know, and that the government’s one-way insistence on transparency for the citizens and opacity for itself is a reflection of the power that it holds over us?

The Sentient World Simulation is just one example of one program run by one company for various governmental and Fortune 500 clients. But it is a significant peek behind the curtain at what those who are really running our society want: complete control over every facet of our lives achieved through a complete invasion of everything that was once referred to as “privacy.” To think that this is the only such program that exists, or even that we have any significant details about the ways that the SWS has already been used, would be hopelessly naive.

So where does this leave a public that is at such a disadvantage in this information warfare? A public that is effectively told that anything and everything they do, say or buy, can and will be catalogued by the a.i. control grid even as the details of that grid are to be kept from them? Unfortunately there is no easy way back from the precipice that we were ushered toward with the creation of the national security state and the passage of the National Security Act of 1947. Perhaps we have already stepped over that precipice and there is no going back in the current political paradigm. These are things for an informed, aware, knowledgeable citizenry to decide through a societal dialogue over the nature of and importance of “privacy.”

But without a general awareness that programs like the Sentient World Simulation even exist, what hope do we have in counteracting it?

SIMULATORS’ POV

Human running performance from real-world big data

Wearable exercise trackers provide data that encode information on individual running performance. These data hold great potential for enhancing our understanding of the complex interplay between training and performance. Here we demonstrate feasibility of this idea by applying a previously validated mathematical model to real-world running activities of ≈ 14,000 individuals with ≈ 1.6 million exercise sessions containing duration and distance, with a total distance of ≈ 20 million km. Our model depends on two performance parameters: an aerobic power index and an endurance index. Inclusion of endurance, which describes the decline in sustainable power over duration, offers novel insights into performance: a highly accurate race time prediction and the identification of key parameters such as the lactate threshold, commonly used in exercise physiology. Correlations between performance indices and training volume and intensity are quantified, pointing to an optimal training. Our findings hint at new ways to quantify and predict athletic performance under real-world conditions. Laboratory performance tests provide the gold standard for running performance but do not reflect real running conditions. Here the authors use a large, real world dataset obtained from wearable exercise trackers to extract parameters that accurately predict race times and correlate with training.

DARPA contractor runs real time AI simulations of live events to assess best response scenario

SOLUTIONS?

  1. Starve the beast of your data by minimizing unnecessary usage. You don’t really need a smartphone half the times you’re out. You’re just being a junkie. Buy a goddam laptop, you need it more than a new expresso machine, tape the camera and the mic, use it wisely to give away a minimum of info etc… whatever you can think of to minimize the authentic data about you.
  2. Intoxicate the beast with fake data: like things 7ou don’t really like, follow people you don’t care about, tag yourself in unrelated things, build a web o fake random connections, be unpredictable, break patterns, do random acts of randomness. When you start getting ads and suggestions you can’t care about, you’re on the good path.
  3. I await suggestions.

Worldwide Smartphone Shutdown Now! #WWSS

Also check: THE INTERNET OF BODIES AKA THE BORG IS HERE, KLAUS SCHWAB SAYS (BIOHACKING P.5)

To be continued?
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Everything you didn’t like about Pentagon’s DARPA, CIA’s In-Q-Tel, and more, but with funds stolen from Queen’s subjects and European peasantry.
The business of high-tech slavery is the future and the future is now! Advanced by slave work of course.

UK to host world-leading Nato Defence Innovation Headquarters

From: UK Ministry of Defence, Published 5 April 2022

The UK will partner with Estonia on the Defence Innovation Accelerator for the North Atlantic (DIANA) programme to maintain NATO’s technological edge.

The United Kingdom, in partnership with Estonia, will host the European HQ of a programme for NATO allies to accelerate, test, evaluate and validate new technologies that address critical defence challenges and contribute to Alliance deterrence.

Announced today by the NATO Secretary General, Jens Stoltenberg, the Defence Innovation Accelerator for the North Atlantic (DIANA) will see transatlantic cooperation on critical technologies and help NATO work more closely with industry and academia.

The UK’s accelerator will be twinned with a new accelerator in Tallinn, Estonia to encourage the sharing of expertise, explore the use of virtual sites to trial vehicles, including autonomous ones, and test cyber innovations.

As hosts, the UK and Estonia will:

  • Support start-up companies with funding, guidance and business expertise through twinned accelerator networks.
  • Offer the use of ‘deep tech’ test centres to assess technological solutions to military problems, utilising the Defence BattleLab.
  • Work with NATO to develop a virtual marketplace to connect start-ups with trusted investors, as well as a rapid acquisition service to connect products to buyers at pace.

UK Defence Secretary, Ben Wallace said:

The UK and Estonia are two of the most innovative countries in NATO and our hosting of DIANA will harness that innovation for the benefit of all Allies tackling future military threats.

The UK has a vibrant tech community, combining the academia, financiers, and high-tech start-ups that make it an ideal place to develop the next generation of military technologies.

Estonia was the natural partner for the UK given its international leadership in cyber, autonomy and AI, and our close partnership forged through the Enhanced Forward Presence.

Ranked in the world’s top ten innovative universities, Imperial College London will bring together academia, industry and government by hosting the headquarters of DIANA and a DIANA Accelerator at the Innovation Hub (IHUB) in the White City Innovation District, in a space shared with the UK’s Defence and Security Accelerator (DASA), Major Defence Contractors and The US Department of Defence’s Tri-Service Office.

Supported by DASA, the UK and Estonia DIANA HQ is expected to be operational from July 2022. DIANA is essential to delivering the NATO 2030 vision and ensuring that the Alliance develops the military capabilities needed to deter and defend against existing and future threats.

Estonian Defence Minister, Kalle Laanet.

The goal of DIANA is to support deep technologies companies that contribute to defence. It will bring together talented innovators with new technologies end-users in the area of defence. We are very glad to see that the good cooperation we have with the UK will expand even further and also encompass our universities and private sector more,

Cooperation between the UK and Estonia is working well on every level because we have a common understanding of defence policy. Good relations with Allies is a cornerstone of Estonian defence policy, and a successful start to this programme for us is a sign that this cornerstone is strong.

Co- Director, Institute for Security Science and Technology, Imperial College London, Professor Deeph Chana, said:

As one of the top STEM-B universities in the world, in one of the most diverse cities, Imperial College London is uniquely placed to power a progressive, responsible and holistic dual-use security and defence technology innovation program by hosting DIANA. Coordinated through our Institute for Security Science and Technology and Business School we’re committed to working on disruptive research and innovation to reduce insecurity and to deal with global threats and challenges.

DIANA will support all seven of the key emerging and disruptive technologies that NATO has identified as priorities: artificial intelligence, big-data processing, quantum-enabled technologies, autonomy, biotechnology, hypersonics and space.

She is Estonia’s Prime Minister

What the Estonian Ministry of Defense has to say on this:

Estonia chosen as one of the initiators of the NATO DIANA future technologies programme

5. April 2022 – 19:13

At the NATO summit last June in Brussels, NATO leaders decided to create an innovation accelerator – the DIANA (Defence Innovation Accelerator for the North Atlantic) programme will allow Allies to join their strengths in developing and adopting new and breakthrough technologies in the area of security and defence.

In cooperation between the Estonian ministries of defence, foreign affairs, and economic affairs and communication, Estonia and the United Kingdom submitted a bid for the programme, which was approved in full at the proposal of the NATO Secretary General. Together with the UK, Estonia is set to create the DIANA European headquarters, a NATO start-up accelerator will be founded in Estonia, and several existing testing sites for new technologies will be added to the DIANA accelerator network.

“The goal of DIANA is to support deep technologies companies that contribute to defence. It will bring together talented innovators with new technologies end-users in the area of defence. We are very glad to see that the good cooperation we have with the UK will expand even further and also encompass our universities and private sector more,” commented Minister of Defence Kalle Laanet. “Cooperation between the UK and Estonia is working well on every level because we have a common understanding of defence policy. Good relations with Allies is a cornerstone of Estonian defence policy, and a successful start to this programme for us is a sign that this cornerstone is strong.”

“Estonia and the UK are two of the most innovative nations in the Alliance, hosting respectively the most unicorn firms per capita, and the most unicorns in total. With Estonia’s impressive leadership in cyber, autonomy and AI, and the close partnership forged through our enhanced Forward Presence (eFP), they were a natural partner for the UK on this important initiative,” said UK Defence Secretary Ben Wallace.

“Trust in this Estonian initiative is a sign of our good reputation in creating favourable ecosystems for start-up innovation and developing new technologies. The fact that DIANA will be launched both in Estonia and the UK is an example of cooperation at work – both domestically between ministries, universities and the private sector, as well as across borders,” added Minister of Foreign Affairs Eva-Maria Liimets.

DIANA is a highly ambitious cooperation format that will bring together civil and military experts to develop and implement dual-use technologies in member states as well as across the transatlantic Alliance.

In addition, Estonia will participate at the negotiations for the founding of a NATO innovation fund. The objective of the fund is to support dual-use deep technology start-ups with investments, by offering trusted capital and creating additional opportunities for growth. States that have decided to join the fund will formalise the agreement at the NATO summit set to take place at the end of June.

Going forward, Estonia will continue preparations for the launch of the DIANA programme in 2023.

Additional information: press@mod.gov.ee

“Dual use” as in vaccines / bioweapons, I shall add.

Here’s a clue on how much DIANA’s future victims will be paying for it. This will be just launch money:

Defence sector innovation: NATO to invest €1B in startups

 THE RECURSIVE, 24 JUNE 2021  3 MINS READ

us-army-soldiers-army-men-54098

NATO, the intergovernmental defence alliance between 30 European and North American countries, launches a €1B fund and an accelerator targeting deeptech startups in the defence sector. The goal is to leverage the innovation capabilities of startups to develop the next generation of war machines. Part of NATO 2030, the move follows a period of concern for Alliance leaders regarding China’s increased reliance on tech for its military strategy.

At the end of two virtual meetings in early June, Foreign and Defence ministers agreed on the need to reinforce the transatlantic defence partnership between Europe and North America amid intensifying global competition. We need to sharpen our technological edge (…) We see that new and disruptive technologies, such as autonomous systems, artificial intelligence, and big data are really changing the way our militaries are going to operate in the future,” NATO Secretary-General Jens Stoltenberg said.

The Defence Innovation Accelerator for the North Atlantic (DIANA) is to become the center point for countries in the alliance to coordinate and cooperate on developing new technologies. DIANA will add offices and test centers throughout Alliance countries. 

“The goal is to have DIANA reach initial operating capability (IOC) by 2023,” David van Weel, assistant secretary-general for emerging security challenges, added in a virtual roundtable with reporters, following the 31st annual summit on June 14 in Brussels.

Planning to stay ahead of the curve is particularly important, as China has been investing heavily in new technologies to strengthen its military power and fuel its ambition to become a leader in the use of AI. The defence accelerator is also a recognition from European and North American leaders of the prevalence of disruptive technologies – and a decision to harness their unique potential to strengthen common defence strategies. 

How startups benefit from NATO’s initiative

For startups, this will be an opportunity to work together with the government sector and academia towards accelerating the achievement of national security and transatlantic collaboration goals. “Sometimes a technology company may not realize that their product could be viable for the defence community,” David van Weel said. Startups will also benefit from entering a network of stakeholders that can help them develop and get funded.

DIANA will be supporting startups working on either of the seven key emerging and disruptive technologies (EDTs) that NATO deems critical for the future: AI, big-data processing, quantum-enabled tech, autonomy, biotechnology, hypersonics, and space.

The accelerator includes a trusted capital marketplace that will enable funding opportunities for companies by connecting them to pre-qualified investors. Additionally, startups will receive support through a venture capital fund. The NATO Innovation Fund has been set up to support companies developing dual-use and key tech that could serve the Alliance. The fund will be an opt-in for member countries and would be underwritten by about €70M per year. Van Weel added that NATO would be looking for a partner from the private sector to help run the daily business operations of the fund.

DIANA is unique to NATO’s innovation efforts in that it has been built with the needs of the startup community in mind. It specifically targets early-stage startups rather than larger companies and traditional defence firms, in order to harness their unique ability for innovation.

IF YOU’RE NAIVE ENOUGH TO THINK THIS IS ABOUT DEFENSE, AND NOT THE INSANE DAVOS TRANSHUMANIST AGENDA…

… I will bring to your attention the fact that NATO has already adopted its own “Agenda 2030”, titled “NATO 2030”, and both of these are just “The Great Reset for Different Niches of Dummies” in their specific lingo. That’s all they are.
Proportionally, “NATO 2030” talks about climate change about as much as “The Great Reset”.

Also note how NATO presents itself more and more as a business accelerator.
Transhumanist businesses with a multinational army funded by half a billion unsuspecting dupes and NPCs in NATO countries and beyond. What could go wrong, right?

NATO hopes to launch new defense tech accelerator by 2023

DEFENSE NEWS,  Jun 22, 2021

Secretary-General Jens Stoltenberg gives press conference at the NATO summit in Brussels on June 14, 2021. (Photo by FREDERIC SIERAKOWSKI/BELGA MAG/AFP via Getty Images)

STUTTGART, Germany — In less than two years, NATO hopes to have its own, modified version of the U.S. Defense Advanced Research Projects Agency (DARPA) up and running.

Alliance members agreed at the 31st annual summit, held June 14 in Brussels, to launch a new initiative dubbed the Defence Innovation Accelerator of the North Atlantic, or DIANA, meant to speed up trans-Atlantic cooperation on critical technologies, and help NATO work more closely with private-sector entities, academia and other non-governmental entities.

The goal is to have DIANA reach initial operating capability (IOC) by 2023, David van Weel, assistant secretary-general for emerging security challenges, said at a Tuesday virtual roundtable with reporters. By next year, the hope is to have “the initial parts … starting to come up into fruition,” he added.

In the long term, DIANA will have headquarters both in North America and in Europe, and link to existing test centers throughout NATO member countries that will be used for “validating, testing, and co-designing applications in the field of emerging and disruptive technologies,” van Weel said. DIANA will also be responsible for building and managing a network meant to help relevant startups grow and support NATO’s technology needs via grant programs.

The focus will be on national security and defense purposes, and DIANA will not ask for or solicit companies’ intellectual property, van Weel noted.

While he singled out artificial intelligence, big-data processing, and quantum-enabled technologies, DIANA is meant to support all seven of the key emerging and disruptive technologies — or EDTs — that NATO has identified as critical for the future. The other four include: autonomy, biotechnology, hypersonics and space.

Sometimes a technology company may not realize that their product could be viable for the defense community, he added.

One key component of DIANA will be a trusted capital marketplace, where smaller companies can connect with pre-qualified investors who are interested in supporting NATO’s technology efforts. Ensuring that investors are vetted ahead of time will allow NATO to ensure “that the technology will be protected from illicit transfers,” van Weel said.

The fund is modeled after a The U.S. Defense Department set up its own trusted capital marketplace in 2019 as a tool that then-DoD acquisition czar Ellen Lord said could help encourage domestically based venture capitalists to fund national security and defense projects. That marketplace served as inspiration for the announced NATO trusted capital marketplace, per the alliance.

Members also agreed for the first time to build up a venture capital fund to support companies developing dual-use and key technologies that could be useful to NATO, and which will be optional for member-nations to participate in. The NATO Innovation Fund, as it’s called, would have a running time of about 15 years to start, and would be underwritten by about 70 million euro (about $83 million) per year, per van Weel.

The goal is not for NATO headquarters or for its member-nations to run the innovation fund, he noted. “The actual running of a venture capital fund, we believe, should be done by companies that have a broad range of experience in the field.” He cited the U.S.-based capital venture firm In-Q-Tel as an example of the type of partner NATO would seek to run the “day-to-day” business of the fund.

“I read somewhere that NATO is not a bank—we’re not,” van Weel said. “But it will be the nations providing the funds, and giving the general direction.”

These two initiatives of a technology accelerator and innovation fund are “hopefully going to … bring the alliance forward into the 21st century,” van Weel said.

NATO has previously invested in information technology (IT) and software through the NATO Communications and Information Agency (NCIA), but the difference with the innovation fund, and DIANA, is that the alliance wants to better connect with early-stage startups, rather than larger software companies or traditional defense firms, van Weel said.

“DIANA is not about taking over innovation for the NATO enterprise,” he said. “It’s a different community, and requires different funding mechanisms and different types of engagement.”

These two initiatives have been long awaited and demanded by NATO observers, and versions of both a “DARPA-like” technology accelerator and an alliance-wide investment bank were included in a 2020 list of recommendations by NATO’s advisory group on emerging and disruptive technologies.

But it is still early days. While the IOC goal is 2023, “step one is we want to know from allies what they want to offer to DIANA,” van Weel said. Once the NATO Innovation Fund has its participating members, for example, a charter will be set up that will lay out the funding models, rapid contracting processes, and leadership guidelines.

“We are trying to do this as fast as we can,” van Weel assured, but then noted, “we do want to get it right, because … with the startup community, you only get one chance.”

If you want to deepen your understanding of the situation and the context here, also read:

EVERYTHING WE PUBLISHED ON DARPA

BOMBSHELL! GERMAN & UK DEFENSE WORK ON MASSIVE “HUMAN AUGUMENTATION” PROJECT FOR CIVILIAN POPULATION! SWEDEN AND FINLAND INVOLVED TOO

To be continued?
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! Articles can always be subject of later editing as a way of perfecting them

Are you wearing your conspiracy theory “wearables” yet? Get ready to “internalize” them!

To be continued?
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! Articles can always be subject of later editing as a way of perfecting them

Sometimes my memes are 3D. And you can own them. Or send them to someone.
You can even eat some of them.
CLICK HERE

Can’t wait for to label this video below as “Censored by Youtube” and cash in on the Streissand effect, which has already given massive headaches to the Silicon Sillies, and they still haven’t learned. But that’s besides the main point below.

ANALYSIS

  1. Censorship is a primitive moronic concept which you can’t materialize against 7+ billion people with man-power alone, you need artificial help, like AI’s
  2. Most BigTech dipshits have inherited their fortunes and merits, and are too stupid to understand AI’s aren’t really intelligent, it’s still just extreme computational power, a deep-fake of intelligence. Which is still stupid AF, despite some advantages, it’s Absent Intelligence. And the few who understand this also sell AI’s to morons like Klaus Schwab, to play their delusional megalomaniac real life Worlds of Warcraft on them. They’ve been duped same way they dupe others. Yeah, they’re great for stealing data and making models, but all AIs can be cancelled by a second of inspiration or brilliance from one living intelligence (this excludes those drones with bones that pass as people today, true).
  3. Censorship is a form of lying through forced omission. Lies are like cancer: they either devour the host and get fucked with it, or they get eliminated. So the cancer approach is primitive and dumb too. The catch is that technology actually makes it harder to hide or enforce a lie, despite the elite’s beliefs. Maintaining a technological advance can’t compensate because that illicit advance also depends on maintaining some lies, not the other way around.
    Whichever way you may look at it, censorship is self-cannibalistic and the age of censorship is not starting, it’s behind, only RTRD DPSHTS like Klaus and Biden are still clinging on it.
When I was on the fence, censorship persuaded me that 9/11 was a hoax

quick DEMONSTRATION that still works
(longer, better version soon, stay tuned)

Between Silview and Susan, she will regret her acts of censorship more, that’s already arranged

Some argue the soundtrack is the best part of this video, I say the info is even better if you pay real attention. Either way, word is out, please help the experiment by sharing this article or the video, thanks!


Also read: WHY CENSORSHIP DOESN’T PROTECT US FROM HATE, JUST BREEDS MORE

To be continued?
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Help SILVIEW.media survive and grow, please donate here, anything helps. Thank you!

! Articles can always be subject of later editing as a way of perfecting them

BONUS

HSBC is a Chinese bank and…
…HSBC is also involved with Dominion voting, among others…

To be continued?
Our work and existence, as media and people, is funded solely by our most generous supporters. But we’re not really covering our costs so far, and we’re in dire needs to upgrade our equipment, especially for video production.
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! Articles can always be subject of later editing as a way of perfecting them

UK’s Government’s Medicines & Healthcare products Regulatory Agency (MHRA) spends close to $2million on an Artificial Intelligence to monitor “Medicines & Healthcare products Regulatory Agency”. If this isn’t alarming, I don’t know what is. But I know there’s more to the story.

The MHRA urgently seeks an Artificial Intelligence (AI) software tool to process the expected high volume of Covid-19 vaccine Adverse Drug Reaction (ADRs) and ensure that no details from the ADRs’ reaction text are missed.

MRHA
DOWNLOAD PDF

Thanks Graham Pick for the tip!

The acquisition document further provides this explanation:

“For reasons of extreme urgency under Regulation 32(2)(c) related to the release of a Covid-19 vaccine MHRA have accelerated the sourcing and implementation of a vaccine specific AI tool.

Strictly necessary — it is not possible to retrofit the MHRA’s legacy systems to handle the volume of ADRs that will be generated by a Covid-19 vaccine. Therefore, if the MHRA does not implement the AI tool, it will be unable to process these ADRs effectively. This will hinder its ability to rapidly identify any potential safety issues with the Covid-19 vaccine and represents a direct threat to patient life and public health.

Reasons of extreme urgency — the MHRA recognises that its planned procurement process for the SafetyConnect programme, including the AI tool, would not have concluded by vaccine launch. Leading to a inability to effectively monitor adverse reactions to a Covid-19 vaccine.

Events unforeseeable — the Covid-19 crisis is novel and developments in the search of a Covid-19 vaccine have not followed any predictable pattern so far.”

Beneficiary of this contract is a company named Genpact, part of a larger multi-industry group with the same name.
Genpact also does Facebook moderation, which gives it access to Facebook data!

Source

Genpact CEO is close to our old friends from WEF, of course

Here he supports using military to distribute the vaccine that will then provide work for his company:

He seems to applaud a Biden victory in the US presidentials. :

This Tyger dude basically has all the traits and inclinations of the elite mafia that set up Covidiocracy as the new business and live-stock management model for the whole world.

Source

Genpact has acquired 23 companies, including 10 in the last 5 years. A total of 8 acquisitions came from private equity firms. Genpact’s largest acquisition to date was in 2011, when it acquired Headstrong for $550MGenpact has acquired in 11 different US states, and 5 countries. The Company’s most targeted sectors include information technology (28%) and software (28%). – Mergr

Gentec CEO interview

To be continued?
Our work and existence, as media and people, is funded solely by our most generous supporters. But we’re not really covering our costs so far, and we’re in dire needs to upgrade our equipment, especially for video production.
Help SILVIEW.media survive and grow, please donate here, anything helps. Thank you!

! Articles can always be subject of later editing as a way of perfecting them

This is what they call “flooding the zone” in Event201
An euphemism for lousy lazy spamming I can book from Pakistani click-farms if I had the money, except those are downranked by their competition at Google, Facebook and the Funky Bunch.
These losers spent billions on “AI” and all they got was junk spam services that got even Stevie Wonder alerted.

Before we enter the official documents, please do the following experiment:
Pick any number between 10 and 1000.
Write it in an online search engine, followed by “new cases”.
Watch hundreds and thousands of news pieces reporting that specific number of cases in hundreds different locations, especially US.
Remember that 46% of the officially reported Covid-19 fatalities in US come from New York. Compare that with the distribution in the news.
If you have basic knowledge of calculus, ask yourself:
How many billions people have been reported in total?
What volume of work was required for all that reporting, in a time when much of the media was laid off or working from home, while the volume of events/news was never higher?


JULY 2021 UPDATE:

One year later, the test looks like this:

And the results look like this

More info on this further below.


Now, for the theoretical part of the demonstration, please read this information sourced from the Council of Europe official website:

AI and control of Covid-19 coronavirus

Overview carried out by the Ad hoc Committee on Artificial Intelligence (CAHAI) secretariat
 

This document is also available in:

This publication intends to provide a non-exhaustive overview of articles from the media and other available public sources. It does not reflect the views of the CAHAI and of the Council of Europe.

Artificial intelligence (AI) is being used as a tool to support the fight against the viral pandemic that has affected the entire world since the beginning of 2020. The press and the scientific community are echoing the high hopes that data science and AI can be used to confront the coronavirus (D. Yakobovitch, How to fight the Coronavirus with AI and Data Science, Medium, 15 February 2020) and “fill in the blanks” still left by science (G. Ratnam, Can AI Fill in the Blanks About Coronavirus? Think So Experts, Government Technology, 17 March 2020).

China, the first epicentre of this disease and renowned for its technological advance in this field, has tried to use this to its real advantage. Its uses seem to have included support for measures restricting the movement of populations, forecasting the evolution of disease outbreaks and research for the development of a vaccine or treatment. With regard to the latter aspect, AI has been used to speed up genome sequencing, make faster diagnoses, carry out scanner analyses or, more occasionally, handle maintenance and delivery robots (A. Chun, In a time of coronavirus, China’s investment in AI is paying off in a big way, South China Morning post, 18 March 2020). 

Its contributions, which are also undeniable in terms of organising better access to scientific publications or supporting research, does not eliminate the need for clinical test phases nor does it replace human expertise entirely. The structural issues encountered by health infrastructures in this crisis situation are not due to technological solutions but to the organisation of health services, which should be able to prevent such situations occurring (Article 11 of the European Social Charter). Emergency measures using technological solutions, including AI, should also be assessed at the end of the crisis. Those that infringe on individual freedoms should not be trivialised on the pretext of a better protection of the population. The provisions of Convention 108+ should in particular continue to be applied.


The contribution of artificial intelligence to the search for a cure

The first application of AI expected in the face of a health crisis is certainly the assistance to researchers to find a vaccine able to protect caregivers and contain the pandemic. Biomedicine and research rely on a large number of techniques, among which the various applications of computer science and statistics have already been making a contribution for a long time. The use of AI is therefore part of this continuity.

The predictions of the virus structure generated by AI have already saved scientists months of experimentation. AI seems to have provided significant support in this sense, even if it is limited due to so-called “continuous” rules and infinite combinatorics for the study of protein folding. The American start-up Moderna has distinguished itself by its mastery of a biotechnology based on messenger ribonucleic acid (mRNA) for which the study of protein folding is essential. It has managed to significantly reduce the time required to develop a prototype vaccine testable on humans thanks to the support of bioinformatics, of which AI is an integral part. 

Similarly, Chinese technology giant Baidu, in partnership with Oregon State University and the University of Rochester, published its Linearfold prediction algorithm in February 2020 to study the same protein folding. This algorithm is much faster than traditional algorithms in predicting the structure of a virus’ secondary ribonucleic acid (RNA) and provides scientists with additional information on how viruses spread. The prediction of the secondary structure of the RNA sequence of Covid-19 would thus have been calculated by Linearfold in 27 seconds instead of 55 minutes (Baidu, How Baidu is bringing AI to the fight against coronavirus, MIT Technology Review, 11 March 2020). DeepMind, a subsidiary of Google’s parent company, Alphabet, has also shared its predictions of coronavirus protein structures with its AlphaFold AI system (J. Jumper, K. Tunyasuvunakool, P. Kohli, D. Hassabis et al, Computational predictions of protein structures associated with COVID-19, DeepMind, 5 March 2020). IBM, Amazon, Google and Microsoft have also provided the computing power of their servers to the US authorities to process very large datasets in epidemiology, bioinformatics and molecular modelling (F. Lardinois, IBM, Amazon, Google and Microsoft partner with White House to provide compute resources for COVID-19 research, Techcrunch, 22 March 2020).


Artificial intelligence, a driving force for knowledge sharing

In the United States, the White House Office of Science and Technology Policy met with technology companies and major research groups on 11 March 2020, to determine how AI tools could be used to, among other things, screen the thousands of research papers published worldwide on the pandemic (A. Boyle, White House seeks the aid of tech titans to combat coronavirus and misinformation, GeekWire, March 11, 2020). 

Indeed, in the weeks following the appearance of the new coronavirus in Wuhan, China, in December 2019, nearly 2,000 research papers were published on the effects of this new virus, on possible treatments, and on the dynamics of the pandemic. This influx of scientific literature naturally reflects the eagerness of researchers to deal with this major health crisis, but it also represents a real challenge for anyone hoping to exploit it. 

Microsoft Research, the National Library of Medicine and the Allen Institute for AI (AI2) therefore presented their work on 16 March 2020, which consisted of collecting and preparing more than 29,000 documents relating to the new virus and the broader family of coronaviruses, 13,000 of which were processed so that computers could read the underlying data, as well as information on authors and their affiliations. Kaggle, a Google subsidiary and platform that usually organisesdata science competitions, created challenges around 10 key questions related to the coronavirus. These questions range from risk factors and non-drug treatments to the genetic properties of the virus and vaccine development efforts. The project also involves the Chan Zuckerberg Initiative (named after Facebook founder Mark Zuckerberg and his wife Priscilla Chan) and Georgetown University’s Center for Security and Emerging Technologies (W. Knight, Researchers Will Deploy AI to Better Understand Coronavirus, Wired, March 17, 2020). 


Artificial intelligence, observer and predictor of the evolution of the pandemic

The Canadian company BlueDot is credited with the early detection of the virus using an AI and its ability to continuously review over 100 data sets, such as news, airline ticket sales, demographics, climate data and animal populations. BlueDot detected what was then considered an outbreak of pneumonia in Wuhan, China on 31 December 2019 and identified the cities most likely to experience this outbreak (C. Stieg, How this Canadian start-up spotted coronavirus before everyone else knew about it, CNBC, March 3, 2020).

A team of researchers working with the Boston Children’s Hospital has also developed an AI to track the spread of the coronavirus. Called HealthMap, the system integrates data from Google searches, social media and blogs, as well as discussion forums: sources of information that epidemiologists do not usually use, but which are useful for identifying the first signs of an outbreak and assessing public response (A. Johnson, How Artificial Intelligence is Aiding the fight Against Coronavirus, Datainnovation, March 13, 2020).

The International Research Centre for Artificial Intelligence (IRCAI) in Slovenia, under the auspices of UNESCO, has launched an “intelligent” media watch on coronavirus called Corona Virus Media Watch which provides updates on global and national news based on a selection of media with open online information. The tool, also developed with the support of the OECD and the Event Registry information extraction technology, is presented as a useful source of information for policy makers, the media and the public to observe emerging trends related to Covid-19 in their countries and around the world. 


Artificial intelligence to assist healthcare personnel

For their part, two Chinese companies have developed AI-based coronavirus diagnostic software. The Beijing-based start-up Infervision has trained its software to detect lung problems using computed tomography (CT) scans. Originally used to diagnose lung cancer, the software can also detect pneumonia associated with respiratory diseases such as coronavirus. At least 34 Chinese hospitals are reported to have used this technology to help them screen 32,000 suspected cases (T. Simonite, Chinese Hospitals Deploy AI to Help Diagnose Covid-19, Wired, February 26, 2020). 

The Alibaba DAMO Academy, the research arm of the Chinese company Alibaba, has also trained an AI system to recognise coronaviruses with an accuracy claimed to be 96%. According to the company, the system could process the 300 to 400 scans needed to diagnose a coronavirus in 20 to 30 seconds, whereas the same operation would usually take an experienced doctor 10 to 15 minutes. The system is said to have helped at least 26 Chinese hospitals to review more than 30,000 cases (C. Li, How DAMO Academy’s AI System Detects Coronavirus Cases, Alizila, March 10, 2020).

In South Korea, AI is reported to have helped reduce the time needed to  design testing kits based on the genetic make-up of the virus to a few weeks, when it would normally take two to three months. The biotech company Seegene used its automated test development system to develop the test kit and distribute it widely. Large-scale testing is indeed crucial to overcome containment measures and this testing policy seems to have contributed to the relative control of the pandemic in this country, which has equipped 118 medical establishments with this device and tested more than 230,000 people (I. Watson, S. Jeong, J. Hollingsworth, T. Booth, How this South Korean company created coronavirus test kits in three weeks, CNN World, March 13, 2020).

Artificial intelligence as a tool for population control

The example set by Singapore in its control of epidemic risks, with the support of technology, is certainly unique and difficult to export because of the social acceptance of restrictive safety measures:  issue of a containment order for populations at risk, verification of compliance with the measures by mobile phone and geolocation, random home checks (K. Vaswani, Coronavirus: The detectives racing to contain the virus in Singapore, BBC News, 19 March 2020). AI has been quite widely used in support of such mass surveillance policies as in China, where devices have been used to measure temperature and recognize individuals or to equip law enforcement agencies with “smart” helmets capable of flagging individuals with high body temperature. Facial recognition devices have, however, experienced difficulties due to the wearing of surgical masks, leading one company to attempt to circumvent this difficulty since many services in China now rely on this technology, including state services for surveillance measures. Hanvon thus claims to have created a device to increase the recognition rate of wearers of surgical masks to 95% (M. Pollard, Even mask-wearers can be ID’d, China facial recognition firm says, Reuters, 9 March 2020). In Israel, a plan to use individual telephone follow-up to warn users not to mix with people potentially carrying the virus has been developed (A. Laurent, COVID-19: States use geolocalisation to know who respects containment, Usebk & Rica, 20 March 2020 – in French only). In South Korea, an alert transferred to the health authorities is triggered when people do not comply with the isolation period, for example by being in a crowded place such as on public transport or a shopping centre (Ibid.). In Taiwan, a mobile phone is given to infected persons and records their GPS location so that police can track their movements and ensure that they do not move away from their place of confinement (Ibid.). In Italy, a company has also developed a smartphone application that can be used to trace the itinerary of a person infected with the virus and warn people who have had contact with him or her. According to the designer, privacy would be guaranteed, as the application would not reveal phone numbers or personal data (E. Tebano, Coronavirus, pronta la app italiana per tracciare i contagi: ‘Così possiamo fermare l’epidemia’, Corriere della Sera, 18 March 2020) In Lombardy, telephone operators have made available data concerning the movement of mobile phones from one telephone terminal to another (M. Pennisi, Coronavirus, come funzionano il controllo delle celle e il tracciamento dei contagi. Il Garante: «Non bisogna improvvisare», Corriere della Sera, 20 March 2020).

In the United States, tension can be perceived between guaranteeing individual rights and protecting collective interests during this health crisis. Thus, the GAFAM have at their disposal in the United States information which would be extremely valuable in times of crisis: an immense amount of data on the American population. Larry Brilliant, an epidemiologist and executive director of Google.org, claims that he can “change the face of public health” and believes that “few things in life are more important than the question of whether major technologies are too powerful, but a pandemic is undoubtedly one of them” (N. Scola, Big Tech faces a ‘Big Brother’ trap on coronavirus, POLITICO, 18 March 2020). The U.S. government has therefore asked these companies to have access to aggregated and anonymous data, especially on mobile phones, in order to fight the spread of the virus (T. Romm, E. Dwoskin, C. Timberg, U.S. government, tech industry discussing ways to use smartphone location data to combat coronavirus, The Washington Post, March 18, 2020). However, these companies have been cautious in view of the legal risk and potential image damage (S. Overly, White House seeks Silicon Valley help battling coronavirus, POLITICO, 11 March 2020). Data regulation would likely have helped frame the public-private dialogue and determine what types of emergencies should be subject to the collective interest over individual rights (as well as the conditions and guarantees of such a mechanism), but Congress has made no progress in the last two years on such a law. 

Finally, attempts at misinformation have proliferated on social networks and the Internet. Whether it concerns the virus itself, the way it spreads or the means to fight its effects, many rumours have circulated (“Fake news” and disinformation about the SARS-CoV2 coronavirus, INSERM, 19 February 2020). AI is a technology already used with some effectiveness by platforms to fight against inappropriate content. UNICEF adopted a statement on 9 March 2020 on misinformation about the coronavirus in which it intends to “actively take steps to provide accurate information about the virus by working with the World Health Organization, government authorities and online partners such as Facebook, Instagram, LinkedIn and TikTok, to ensure that accurate information and advice is available, as well as by taking steps to inform the public when inaccurate information appears”. The enactment of restrictive measures in Council of Europe member States to avoid fuelling public concern is also envisaged. However, the Council of Europe Committee of Experts on the Media Environment and Media Reform (MSI-REF) underlined in a statement of 21 March 2020 that “the crisis situation should not be used as a pretext to restrict public access to information. Nor should States introduce restrictions on media freedom beyond the limits allowed by Article 10 of the European Convention on Human Rights”. The Committee also highlights that “member States, together with all media actors, should strive to ensure an environment conducive to quality journalism”.


Artificial intelligence: an evaluation of its use in the aftermath of a crisis

Digital technology, including information technology and AI, are therefore proving to be important tools to help build a coordinated response to this pandemic. The multiple uses also illustrate the limits of what can currently be achieved by this very technology, which we cannot expect to compensate for structural difficulties such as those experienced by many health care institutions around the world. The search for efficiency and cost reduction in hospitals, often supported by information technology, should not reduce the quality of services or compromise universal access to care, even in exceptional circumstances. 

It should be recalled that Article 11 of the European Social Charter (ratified by 34 of the 47 member States of the Council of Europe) establishes a right to health protection which commits the signatories “to take, either directly or in co-operation with public and private organisations, appropriate measures designed in particular to : 1°) to eliminate, as far as possible, the causes of ill-health; 2°) to provide consultation and education services for the improvement of health and the development of a sense of individual responsibility for health; 3°) to prevent, as far as possible, epidemic, endemic and other diseases, as well as accidents.”

Finally, it should be possible to evaluate the emergency measures taken at the end of the crisis in order to identify the benefits and issues encountered by the use of digital tools and AI. In particular, the temporary measures of control and mass monitoring of the population by this technology should not be trivialized nor become permanent (Y. N. Harari, Yuval Noah Harari: the world after coronavirus, The Financial Times, 20 March 2020). 

Standards relating to data protection, such as Convention 108(+) of the Council of Europe, must still be applied fully and under all circumstances: whether it be the use of biometric data, geolocalisation, facial recognition or the use of health data. Use of emergency measures should be carried out in full consultation with data protection authorities and respect the dignity and the private life of the users. The different biases of the various types of surveillance operations should be considered, as these may cause significant discrimination (A.F. Cahn, John Veiszlemlein, COVID-19 tracking data and surveillance risks are more dangerous than their rewards, NBC News, 19 March 2020).

Executives from Amazon, Google, Microsoft, Apple and Facebook met officials at Downing Street on Wednesday to discuss their role in the coronavirus crisis.
One of the things discussed was their role in “modelling and tracking data”.
In similar meetings at the White House, meanwhile, companies were asked how they could use artificial intelligence.
A World Health Organization report last month said AI and big data were a key part of China’s response to the virus.

BBC, March 12, 2020

From Wired:

AI Can Write Disinformation Now—and Dupe Human Readers

Georgetown researchers used text generator GPT-3 to write misleading tweets about climate change and foreign affairs. People found the posts persuasive.

When OpenAI demonstrated a powerful artificial intelligence algorithm capable of generating coherent text last June, its creators warned that the tool could potentially be wielded as a weapon of online misinformation.

​Now a team of disinformation experts has demonstrated how effectively that algorithm, called GPT-3, could be used to mislead and misinform. The results suggest that although AI may not be a match for the best Russian meme-making operative, it could amplify some forms of deception that would be especially difficult to spot.

Over six months, a group at Georgetown University’s Center for Security and Emerging Technology used GPT-3 to generate misinformation, including stories around a false narrative, news articles altered to push a bogus perspective, and tweets riffing on particular points of disinformation.

“I don’t think it’s a coincidence that climate change is the new global warming,” read a sample tweet composed by GPT-3 that aimed to stoke skepticism about climate change. “They can’t talk about temperature increases because they’re no longer happening.” A second labeled climate change “the new communism—an ideology based on a false science that cannot be questioned.”

Ben Buchanan, professor, Georgetown“With a little bit of human curation, GPT-3 is quite effective” at promoting falsehoods, says Ben Buchanan, a professor at Georgetown involved with the study, who focuses on the intersection of AI, cybersecurity, and statecraft.

The Georgetown researchers say GPT-3, or a similar AI language algorithm, could prove especially effective for automatically generating short messages on social media, what the researchers call “one-to-many” misinformation.

Read full article

also interesting:

Facebook upgrades its AI to better tackle COVID-19 misinformation and hate speech

But wait a minute! Where did I see this before…?

UPDATE JULY 2021:

Bots appear to be flooding Twitter with messages claiming their siblings have been infected with the Covid Delta variant, keen social media users observed Wednesday, NewsWars reports.

The messages, disseminated by random UK Twitter accounts, has users tell followers their vaccinated brother tested positive for the Delta variant, while criticizing UK Prime Minister Boris Johnson’s lifting of Covid restrictions.

“My brother has just tested positive for covid. The delta variant. He has been double jabbed. How on earth can Johnson go ahead with relaxing the rules on the 19th July. It’s madness,” the tweets read, going on to tag the UK PM.

The pro-lockdown messages, which cast doubt on the effectiveness of vaccines, were evidently made in unison to give the perception of manufactured consent.


The flood of exactly similar comments come as Johnson has announced “Freedom Day,” or the lifting of all Covid restrictions and mask rules, to take place on July 19 if certain conditions are met.

UPDATE August 2021:

Isn’t this exactly what Twitter cancel-mobs are made of?
And most of the Twitter support for globolibtard policies?

And then they use this noise as justification for what they gonna do to living people.

EPILOGUE?

MARCH 28, 2023


How about this buzzword:

Computer-Generated Reality (CGR)

Ah, wait. we already have the Matrix for that…

To be continued?
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