The Very Brave New World – Sounds like Science Fiction – Guess Again – Audio and Text (Refer to https://www.bibliotecapleyades.net/ciencia/ciencia_artificialhumans.htm for an entire library on this) – Audio and Text

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July 31, 2010
from
ActivistPost Website

Spanish version

Big Brother has turned monitoring the Internet into big business, which grows daily as the controllers wave the false flag of cybersecurity.

Since the magnitude of the “Top Secret” Intelligence Industrial Complex has now been published by the elitist mouthpiece, The Washington Post, it seems there is no stopping the Internet control machine from eliminating all privacy and anonymity on the Web.

Facebook made it clear they were participating in the eradication of privacy when this week they published the private data of 100 million members.

But it’s not good enough just to have the data available if the government needs it with a court order; rather, they want to map everything in order to predict behavior “just in case a crime may be committed” in the future. It is the open announcement of a Minority Report-style system that is set to work inside and outside of The Cyber World.

The Internet now appears to be enfolding into a tyrannical high-tech control grid.

After all, the powerful monopolistic cartels that control every industry, every government, and the media, must feel thoroughly threatened by the Internet – which, in its current form, represents the ultimate “free market” of free minds where all the people can voice their uniqueness.

According to Wired, Google has partnered with the CIA to fund intricate tracking of the Internet:

The company is called Recorded Future, and it scours tens of thousands of websites, blogs and Twitter accounts to find the relationships between people, organizations, actions and incidents – both present and still-to-come.

In a white paper, the company says its temporal analytics engine “goes beyond search” by “looking at the ‘invisible links’ between documents that talk about the same, or related, entities and events.”

Besides the now public merger between Google and the CIA, there is a privately-held, little-known company called The Hive Group, specializing in “decoding the Internet’s raw data,” which seems to be at the heart of a philosophical high-tech system that seeks to track, trace, and database our every move.

The Hive Group was founded by the creator of hyperlink technology, Ben Shneiderman, a computer scientist specializing in human-computer interaction.

According to their site they offer,

“information treemapping solutions to both industry and government.”

Their primary commercial product, Honeycomb, is listed as a tool for Armed Services, International Governance and Security, and Intelligence described as:

The company builds Highly Immersive Visual Environments that are deployed in operational intelligence (OI), business intelligence (BI), and complex event processing (CEP) contexts. The company’s treemapping software is the foundation of these visual environments.

Shortly after September 11th, Hive Group founder Dr. Shneiderman testified in Congressional hearings about national identification systems and Biometric ID cards on behalf of the U.S. Public Policy Committee of the Association for Computing Machinery (USACM), which is an 80,000-member strong international professional society, where he said:

Implementing an intricate national identification system is a challenging systems engineering matter.

It requires a complex integration of social and technical systems, including humans, hardware, software, networks, and database security. Such socio-technical systems are always vulnerable to error, breakdown, sabotage and destruction by natural events or by people with malicious intentions.

In a 2002 book, Human Choice and Computers: Issues of Choice and Quality of Life in the Information Society, when referring to Biometric ID cards or other National Identification Schemes (NIDS) possibly having prevented the September 11th attacks, the authors quote Shneiderman’s testimony,

“The positive identification of individuals does not equate to trustworthiness or lack of criminal intent.”

In other words, Big Brother has a lot of work to do on predictive behavior technology to keep us safe from the “terrorists.”

Let’s now remember that this testimony took place nearly 9 years ago with many billions since spent on the Intelligence Industrial Complex. The Hive Group is one of the companies spearheading the bridge between government and the private sector, having done work for the Defense Department, Lockheed Martin, and SAIC, and even mapped the spread of the bogus H1N1 outbreak “pandemic.”

In a rare article (press release) in The Washington Post about the privately-held company, titled “The Next Frontier – Decoding the Internet’s Raw Data,” Schneiderman is quoted as saying:

Our belief is that technology is not just useful as toys or for business, we’re talking about using these technologies for national priorities.

Although the majority of HIVE’s commercial applications seem somewhat benign, the “national priorities” he refers to lean more toward tyrannical control than actual cybersecurity.

The company also has a nefarious connotation with its acronym HIVE and its key product Honeycomb. Both concepts are derived from Transhumanism – the philosophy to culturally self-direct evolution and facilitate the human-computer bond into a scientific dictatorship modeled after the central direction of the beehive colony in nature.

It should be no surprise, then, that The Hive Group offers a world population application, since Julian Huxley – the father of Transhumanism – was instrumental in the philosophy and policies of population management and reduction.

We are heading toward an age where mind and machine are one and the same.

For the advocates of freedom, it is a true blessing to be able to congregate and disseminate the message of peace and prosperity.

However, under the authoritarian rule of the control-oriented HIVE philosophy – where man is no better, nor different, than bees in a honeycomb – we have been reduced to be workers at the service of the queen…

Return to Synthetic Life – Robotoids, Parasites and Artificial Humans

 

 


by The Sharp Edge
October 18, 2022
from
CoreysDigs Website

 

 

 

The worldwide mRNA injection rollout has been an effective strategy for the globalists’ long-held depopulation agenda.

 

Population growth has been spiraling downward for several years in America but reached historic lows during the peak of the Covid mRNA jab campaign. Birth rates and fertility have steadily declined as death rates have increased.

 

Adding to this trend, we now know alarming statistics of fetal and baby mortality from mothers who received Covid jabs, as well as proven harms to male fertility, based on thousands of Pfizer documents released to the public.

 

Countries around the globe are reporting dramatic declines in birth rates including,

Germany, UK, Switzerland, Taiwan, Sweden, Hungary, the Netherlands and China…

As the global population declines due, in-part, to adverse events from the mRNA injections affecting birth and fertility, scientists backed by multimillions in funding have been working feverishly to advance artificial womb technology.

 

 

Recent Artificial Womb Advancements

 

The concept of artificial wombs may seem like science fiction straight from the dystopian novel Brave New World, but advancements in recent years are making this technology a reality.

 

Though many experiments using artificial wombs in the past have failed, recent research has been much more successful. 

 

In 2017, researchers at the Children’s Hospital of Philadelphia (CHOP) successfully developed extremely premature lambs within artificial uterus environments.

 

Researchers placed eight lambs in artificial uteruses from a gestation stage equivalent to a human baby’s development in the womb during weeks 23 and 24.

 

The lambs were kept in the artificial wombs for four weeks while their brains and lungs matured.

“If we can develop an extra-uterine system to support growth and organ maturation for only a few weeks, we can dramatically improve outcomes for extremely premature babies,” noted Senior Researcher, Alan Flake.

The researchers planned to test the device on premature human babies within 3 to 5 years – by 2022.

 

Improving the health of premature infants by means of artificial wombs is not the sole objective for CHOP, as the hospital has recently come into the spotlight for allegedly providing puberty blockers to children as young as 8 years old as well as sex reassignment surgeries to children around 14 years of age.

 

 

Source:

Nature Communications,

‘An extra-uterine system to

physiologically support the extreme

premature lamb,’

April 25, 2017

 

 

Since 2018, geneticist George Church, has focused on resurrecting the extinct woolly mammoth to solve – you guessed it – climate change! 

 

In September of 2021, George Church and technology entrepreneur, Ben Lamm, co-founded Colossal Biosciences backed by $75 million in funding, to revive genetically modified hybrids of extinct species such as the woolly mammoth.

 

The de-extinction project involves combining woolly mammoth and Asian elephant DNA using CRISPR technology, then developing the genetically modified embryos to full term via artificial wombs.

 

Since finding the right surrogates to carry the genetically modified embryos for 22 months is a challenge, the team is leaning towards the use of artificial uteruses.

 

The group is on target to produce the first genetically modified woolly mammoth hybrid calf by 2027. 

 

When asked during a July 2022 interview if the technology developed through the de-extinction project could be applied to humans, Church explained,

“If the artificial womb works out, then that might be beneficial in certain cases in humans, but we wouldn’t want to develop that in humans because there’s a lot of ‘debugging’ that would not be ideal to do in humans.

You would want to do it in animals first.”

In a 2013 interview, Church opined on the potential use of genetic engineering to resurrect extinct Neanderthals.

 

While acknowledging the legal and ethical challenges to such a venture, Church quickly added that, “laws can change.” 

 

However, Church does not seem overly concerned about the ethical dilemmas of his research, as the Harvard geneticist was eager to accept Jeffrey Epstein’s funding as well as collaborate with the Chinese company, BGI, which has been suspected of using Covid tests as a means to collect genetic information on Americans.

 

When co-founder Ben Lamm was asked during a September 2022 interview about the monetization potential of technologies developed through the de-extinction project he remarked,

“Part of our two-pronged monetization plan is taking technologies on the path to de-extinction, whether that’s: software –  which happens on the computer, wetware – which happens in the lab, or hardware – in the case of like artificial wombs or other robotics for labs… and then apply that to human healthcare…

Even just one technology out of this is billions of dollars of economic value.” 

Investing multimillions into reviving genetically modified woolly mammoths – as an answer to climate change – may seem like a ridiculous venture until you realize there’s billions to be made in the human applications of genetic and artificial womb technologies developed by the project.

 

 

Source:

The Sun, ‘MAMMOTH TASK Woolly mammoths

could be about to rise from the dead

thanks to Harvard cloning scientist’s incredible plan

to resurrect long-extinct beasts,’

April 16, 2018

 

 

In October of 2019, Eindhoven University of Technology was awarded a 2.9 million euro grant by the Horizon 2020 EU program for the development of an artificial womb prototype to provide life support for babies who are born extremely premature.

 

Participants in the project aim to use simulation technology and manakins to mimic the premature babies while testing their perinatal life support system.

 

The researchers plan to complete a proof-of-principle working prototype by 2024, with the goal of their artificial wombs in use in hospitals by 2030. There’s that deadline again – 2030! 

“It does sound a bit like science fiction. But we won’t be doing anything illegal or advised against.

Within the limits of current legislation, we’re improving neonatal care,” remarked Jasmijn Kok, who is the co-founder of Juno Perinatal Healthcare, a start-up partnered with the project.

Though it does appear the project has taken measures to ensure the technology is adequately tested before it reaches human clinical trials, the statement, “we won’t be doing anything illegal,” doesn’t exactly instill confidence.

 

 

Source:

Eindhoven University of Technology,

‘Multimillion grant brings artificial womb

one step closer,’ October 8, 2019.

Photo by Bart van Overbeeke

 

 

In March of 2021, Israeli scientists announced a breakthrough in using artificial womb technology to develop hundreds of mouse embryos into fetuses with fully formed organs.

 

Though the mice died by the eleventh day, the researchers plan to develop the technology further in order to bring them to full term.

 

The top researcher on the project who is a stem cell biologist, Prof. Jacob Hanna, stated,

“This could be relevant to other mammals including humans, though we acknowledge that there are ethical issues related to growing humans outside the body.” 

However, Hanna went on to say in a separate interview that he believes, if the international guidelines were amended, the Israeli ethics board would sign off on further research of his artificial womb using human embryos beyond the long-held international rule limiting lab-grown embryos to a maximum of 14 days.

 

He remarked,

“Once the guidelines are updated, I can apply, and it will be approved. It’s a very important experiment”.

“We need to see human embryos gastrulate and form organs and start perturbing it. The benefit of growing human embryos to week three, week four, week five is invaluable.

I think those experiments should at least be considered. If we can get an advanced human embryo, we can learn so much.” 

Week three, week four, week five… full term?  Where does it end? 

 

Rapid developments in this technology are pushing the envelope on legal and ethical standards for human embryo experimentation.

 

 

 


In May of 2021, as predicted, a governing body over the practices of human embryo research, the
International Society for Stem Cell Research (ISSCR), made,

“the most striking” change to their updated guidelines by “relaxing” the long-standing 14-day rule, whereby lab grown human embryos must be destroyed.

By relaxing the 14-day international guideline established over 40 years ago, which has become law in some countries, the ISSCR sent a critical message to lawmakers and the scientific community, that certain scientific research conducted on human embryos beyond the 14-day limit is no longer considered unethical.

As a result of these newly relaxed international guidelines, one can only imagine the kinds of research that may be conducted on human embryos beyond the 14-day mark in secretive nations… like China


Source:

Nature, ‘Stem-cell guidelines:

why it was time for an update,’

May 26, 2021

In January of 2022, just months after this significant change to the international standards of human embryo research by the ISSCR, Chinese scientists announced that they have developed an AI robot capable of monitoring embryos as they develop inside artificial wombs.

 

The AI robot can identify the embryos’ needs and adjust their environment, nutrition, and carbon dioxide levels accordingly.

 

The researchers claim that their AI monitoring artificial womb system is even more safe and efficient than a mother’s womb, that their system could help solve birth defects – by discarding embryos with major deficiencies, and that the AI robot is capable of even ranking the human embryos according to their development potential.

 

Advancements such as this may provide a slippery slope towards eugenics.

 

The obstacles this Chinese artificial womb system faces are of the legal and ethical sort, rather than technological. The study explains that more research on the later stages of human embryo development is essential.

 

Fortunately for these researchers, the ISSCR has helped pave the way for human embryo research beyond 14 days!

 

China may have an incentive to develop this artificial womb system further, as their birth rates fell for a fifth year in a row to new record lows.  

 

 

 

 

Source: i24NEWS

‘Robot nanny – Chinese scientists build artificial womb’.

February 1, 2022

Also HERE

 

 

 

 

Ethical Implications

 

Artificial womb technology used as life support for extremely premature babies could make a tremendous impact on saving precious lives and could potentially shatter previous concepts of the term ‘viability.’ 

 

At some point in the near future, all stages of fetal development may be considered ‘viable’ with the use of an artificial womb, impacting any abortion laws that rely on viability.

 

In cases of unwanted pregnancies, artificial wombs may someday replace abortion all-together.

 

On the other hand, this technology could redefine fundamental values of traditional families and motherhood. At some point, artificial wombs may enable non-traditional families, including LGBTQ+ parents, to have babies without the help of surrogate mothers.

 

Even biological women may choose to forego the natural process of pregnancy and delivery in exchange for the use of artificial wombs. 

 

Furthermore, advancements in gene editing as well as early detection of diseases and defects may be used in conjunction with artificial wombs to create a slippery slope towards eugenics, by which ‘imperfect’ human embryos are carelessly discarded in the pursuit of the ‘perfect’ human being. 

 

By far, the most disturbing possibility for this technology is its potential use in conjunction with mass sterilization of the population, which could enable authoritarian regimes to have a monopoly on the production of future generations.

 

As countries around the globe report dramatic declines in birth rates and fertility, one could speculate this agenda is beginning to unfold. 

 

 

Legal Challenges

 

Recent advancements in this technology, coupled with updates to the international guidelines for human embryo research, are pushing the envelope on legal and ethical roadblocks.

 

Based on the White House Executive Order on Advancing Biotechnology and Biomanufacturing, the Biden regime seems motivated to remove ethical and legal obstacles hindering advancements in this field.

 

The EO states,

“We need to develop genetic engineering technologies and techniques to be able to write circuitry for cells and predictably program biology in the same way in which we write software and program computers; unlock the power of biological data, including through computing tools and artificial intelligence.

And advance the science of scale up production while reducing the obstacles for commercialization so that innovative technologies and products can reach markets faster.” 

Lawmakers must act quickly to strengthen protections against unethical human embryo research to catch up with scientific advancements.

 

A study in the Journal of Law and the Biosciences notes that,

“While the federal government holds significant influence over biomedical research policy, US state policies play an important role delimiting research into early human development since there are currently no existing federal laws specifically permitting or prohibiting human embryo or embryoid research.”

“The USA has developed over time a complicated patchwork of state laws.”  

The study finds that 29 states have laws impacting human embryo research.

 

Eleven of those states have banned it, while most states permit human embryo and embryoid research either directly by law or by absence of laws restricting it.

 

 

Source: Journal of Law and the Biosciences,

‘Can we do that here? An analysis of US federal

and state policies guiding human embryo

and embryoid research,’ June 2022

 

 

 

 

Final Thoughts

 

As global birth and fertility rates dramatically decline, artificial womb research is rapidly advancing.

 

Artificial wombs could be both a blessing and a curse. In the right hands this technology could be used to save precious premature babies, while in the wrong hands it could be used as a tool for eugenics and population control.

 

Legal and ethical standards are the final hurdle for developing this technology further.

 

But recent changes to international guidelines may pave the way for more research in this field using human embryos. 

 

Lawmakers in most states have failed to keep up with the expanding human embryo research that, in the pursuit of ‘science,’ is always pushing the envelope.

 

Meanwhile, the Biden regime’s transhumanist EO has placed focus on reducing obstacles to rush technologies such as this to market.

 

As researchers develop the technology to make this dystopian vision a reality, few dissenting voices are asking the most pressing question:

should we…?



by
Sara Reardon
26 January 2018

from Nature Website


Neurons store

and transmit information in the brain.

Credit: CNRI/SPL


A computing system

that mimics neural processing

could make artificial intelligence

more efficient – and more human.

Superconducting computing chips modeled after neurons can process information faster and more efficiently than the human brain.

That achievement (Ultralow Power Artificial Synapses using Nanotextured Magnetic Josephson Junctions), described in Science Advances on 26 January, is a key benchmark in the development of advanced computing devices designed to mimic biological systems.

And it could open the door to more natural machine-learning software, although many hurdles remain before it could be used commercially.

Artificial intelligence software has increasingly begun to imitate the brain. Algorithms such as Google’s automatic image-classification and language-learning programs use networks of artificial neurons to perform complex tasks.

But because conventional computer hardware was not designed to run brain-like algorithms, these machine-learning tasks require orders of magnitude more computing power than the human brain does.

“There must be a better way to do this, because nature has figured out a better way to do this,” says Michael Schneider, a physicist at the US National Institute of Standards and Technology (NIST) in Boulder, Colorado, and a co-author of the study.

NIST is one of a handful of groups trying to develop ‘neuromorphic’ hardware that mimics the human brain in the hope that it will run brain-like software more efficiently.

In conventional electronic systems, transistors process information at regular intervals and in precise amounts – either 1 or 0 bits.

But neuromorphic devices can accumulate small amounts of information from multiple sources, alter it to produce a different type of signal and fire a burst of electricity only when needed – just as biological neurons do.

As a result, neuromorphic devices require less energy to run.


Mind the gap

Yet these devices are still inefficient, especially when they transmit information across the gap, or
synapse, between transistors.

So Michael Schneider‘s team created neuron-like electrodes out of niobium superconductors, which conduct electricity without resistance. They filled the gaps between the superconductors with thousands of nanoclusters of magnetic manganese.

By varying the amount of magnetic field in the synapse, the nanoclusters can be aligned to point in different directions.

This allows the system to encode information in both the level of electricity and in the direction of magnetism, granting it far greater computing power than other neuromorphic systems without taking up additional physical space.

The synapses can fire up to one billion times per second – several orders of magnitude faster than human neurons – and use one ten-thousandth of the amount of energy used by a biological synapse.


An artificial synapse

connects with high-speed

electrical probes.

NIST


In computer simulations, the synthetic neurons could collate input from up to nine sources before passing it on to the next electrode.

But millions of synapses would be necessary before a system based on the technology could be used for complex computing, Schneider says, and it remains to be seen whether it will be possible to scale it to this level.

Another issue is that the synapses can only operate at temperatures close to absolute zero, and need to be cooled with liquid helium.

Steven Furber, a computer engineer at University of Manchester, UK, who studies neuromorphic computing, says that this might make the chips impractical for use in small devices, although a large data centre might be able to maintain them.

But Schneider says that cooling the devices requires much less energy than operating a conventional electronic system with an equivalent amount of computing power.


Alternative approach

Carver Mead, an electrical engineer at the California Institute of Technology in Pasadena, praises the research, calling it a fresh approach to neuromorphic computing.

“The field’s full of hype, and it’s nice to see quality work presented in an objective way,” he says.

But he adds it would be a long time before the chips could be used for real computing, and points out that they face stiff competition from the many other neuromorphic computing devices under development.

Furber also stresses that practical applications are far in the future.

“The device technologies are potentially very interesting, but we don’t yet understand enough about the key properties of the [biological] synapse to know how to use them effectively,” he says.

For instance, there are many outstanding questions about how synapses remodel themselves when forming a memory, making it difficult to recreate the process in a memory-storing chip.

Still, Furber says that because it takes 10 years or more for new computing devices to reach the market, it is worth developing as many different technological approaches as possible, even as neuroscientists struggle to understand the human brain…


by Joe Allen
July 30, 2022
from
JoeBot Website


From “Rewriting the Genetic Code”

Tal Zaks | TEDx

Technocrats invent because they can, not because they have a mandate to do so.

Transhumans are racing to create Humanity 2.0 by mastering the human genome and hence, the functional operation of humans.

Thus, meddling with the human immune system with mRNA injections is merely a warm up to what is coming down the line.

Source

Jab 2.0 for Humanity 2.0,

Hurtling Down the AI-to-Vaxx Pipeline.


Big Pharma embraces the Fourth Industrial Revolution,

“the fusion of our physical, digital, and biological identities”.

 

 

 

Artificial intelligence is pulling new vaccines out of the Platonic realm

 

Automated labs are on standby, prepared to crank out alien strands of mRNA and pack them into toxic nanoparticles. A billion empty syringes are waiting on shelves.

 

This is not science fiction.

 

These jabs will be on the market before you can say “boostah.”

Google. Moderna. Microsoft.

They’re all racing to the edge

This is corporate transhumanism in all its avaricious glory, riding waves of propaganda and channeled by the biosecurity state.

 

These people uphold a new mythos whose axis mundi is the Machine. In their world, digital minds are “dreaming up” novel genetic configurations. Biological systems are treated as “living software.”

 

With each technical advance, their myths bleed into our reality.

 

A 2019 white paper from Policy Horizons Canada describes this shift as a “biodigital convergence,” characterized by:

  1. Full physical integration of biological and digital entities

  2. Co-evolution of biological and digital entities

  3. Conceptual convergence of biological and digital systems

Our intelligentsia – the elites “educated beyond their level of intelligence” – are undergoing a sort of religious conversion. Their world has been illuminated by gene sequencing and neural networks.

 

Their machines have convinced them that living things are just clunky machines. Our immune systems require software updates. Our flawed genomes need debugging.

 

In order to get there, our brains must be augmented.

“Reality explored by AI, or with the assistance of AI, may prove to be something other than what humans had imagined,” wrote ex-Google chief Eric Schmidt in his 2021 book The Age of AI.

“Across the biological, chemical, and physical sciences, a hybrid partnership is emerging in which AI is enabling new discoveries.”

For Eric Schmidt and his coauthors, this vantage point has a mystical quality:

The prognostications of the Gnostic philosophers, of an inner reality beyond ordinary experience, may prove newly significant.

…Sometimes, the result will be the revelation of properties of the world that were beyond our conception – until we cooperated with machines.

Lifeless eyes gaze out on a world composed of numbers. Every living creature is just data to be manipulated.

 

On July 28, Google’s DeepMind announced its powerful AI system, AlphaFold, has modeled the 3D structures of some 200 million proteins.

 

That’s almost every protein on the planet, published on an open database. Even if we account for errors, no human team has achieved anything close to this.

 

AlphaFold is a deep learning system. In the initial phase, it was trained on the datasets of known protein structures. Over the past two years, programmers have turned it loose on every genome ever sequenced.

 

The AI can look at any gene and convert the DNA to protein – in virtual space – then predict the folding pattern with remarkable accuracy.

 

That means scientists can anticipate any protein’s function, whether natural or artificial, starting with nothing but its DNA sequence.

That also means genetic engineers can predict what mutations will produce new functions – in silico – before they ever test it in the lab.

Months of trial-and-error can be done by computer in an instant.

It’s a transhuman fantasy come to life…

The project’s leader, Dame Janet Thornton, told The Guardian,

“This insight will now be used to design improved vaccines which induce the most potent transmission-blocking antibodies.”

In the next few years, a flood of experimental mRNA vaccines – all designed using AI – will flood the pharmaceutical market.

 

Moderna is working on fifteen different concoctions, targeting everything from the common flu and HIV to malaria and dengue fever.

 

If they can drum up enough public anxiety, we’ll soon see two-legged bio-machines lined up around the block to get their injectable updates.

“We call mRNA the software of life,” Moderna’s CEO told MIT Sloan.

“You can copy and paste the information into a lot of drugs by using the same technology.”

In the spirit of biodigital convergence, Moderna has trademarked the name “mRNA OS” – as in “mRNA operating system.”

 

Back in 2017, Moderna’s chief medical officer, Tal Zaks, explained this approach to his TEDx audience:

We’ve been living this phenomenal digital and scientific revolution. And I’m here today to tell you that we’re actually hacking the software of life.

Using Moderna’s zany jargon, Zaks described the transcription of DNA into mRNA and proteins as an “operating system”:

If you think about what it is we’re trying to do, we’ve taken information… and how that information is transmitted in a cell. And we’ve taken our understanding of medicine and how to make drugs. And we’re fusing the two.

We think of it as “information therapy.”

That means new inoculations, new cancer treatments, new gene therapies – and maybe a few potions to make designer humans – all developed using AI and manufactured by robots.

 

If nothing else, Moderna has reprogrammed our federal budget.

 

The US government is about to pay $1.47 billion in taxpayer money for 66 million doses of Moderna’s new Omicron strain. That’s on top of more than 200 million original doses already administered nationwide.

 

The company’s meteoric stocks have produced five billionaires since the pandemic started.

“The era of the digital vaccine is here,” a GlaxoSmithKline team declared in Science.

It’s a Jab 2.0 for Humanity 2.0…!

 

 

Postcard by Mister Blister | Amsterdam

 

 

It’s fitting that Moderna’s mRNA vaxx was initially funded with $20 million from the Bill and Melinda Gates Foundation in 2016.

 

Microsoft’s founder is all about operating systems and viruses and sci-fi swindles. Consider his endless vaccine initiatives – or the Epstein flight logs.

It seems like Bill would jab anything that moves, no matter how innocent…

For Bill Gates and his cyber-conquistadors, biodigital convergence is the next frontier.

 

Just before the pandemic broke out, Microsoft spotlighted Sara-Jane Dunn and her work at the company’s Station B.

 

She waxed poetic about programmable bio-machines in an official propaganda video:

The last technological revolution, the software revolution, was defined by our ability to encode 1’s and 0’s on silicon.

The next revolution won’t be about 1’s and 0’s. It will be about our ability to code A’s, G’s, C’s, and T’s – the building blocks of DNA…

Everywhere I look, I see cells operating as little computers…

You can think of this as living software.

This approach is applied to everything from gene therapies to the creation of synthetic organisms.

 

In partnership with Oxford Biomedica and other tech companies, the team at Station B is dedicated to building “integrated systems” to “program biology more effectively” – as if mice and men really were “living software.”

In this mentality, we’re not souls enshrined in bodies.

We’re half-assed bots constructed by faulty genes.

Our only hope is to be reprogrammed.

Of course, Dunn makes a lot of noise about “ethical concerns” and “unintentional consequences.” They all do…

 

But listening to her, you get the feeling that Microsoft is run by mad scientists with more stock options than common sense.

 

Dunn seems intoxicated by her transhuman dreams:

We’ve developed biological programming languages that allow us to encode our designs for genetic circuits. Our tools allow us to compile these designs down to the DNA code, then to automatically run our experiments in the lab.

The experiments are run on lab robots, and then we pull the data from those experiments and store it in a Microsoft cloud storage space [and] our knowledge base is continuously updated by automated learning.

That’s right. Microsoft has robo-labs to create designer genes.

Google uses AI to digitize every protein in the world.

Moderna is cranking out mRNA jabs like they’re cheap software patches.

To biotech cyborgs, everything looks like a computer simulation.

In 2021, the UK Ministry of Defense put out a white paper entitled Human Augmentation – The Dawn of a New Paradigm.

If you ever wondered about the connection between mask Karens and cyborg super-soldiers, this is the place to start.

After hyping genetic enhancement and brain-controlled drones, the authors take a sudden detour to scold the vaxx hesitant as technophobes:

The history of vaccinations demonstrates how proven, and seemingly uncontroversial human augmentation technologies can take many years to become globally effective and accepted by societies…

Human augmentation may be resisted by elements of society that do not trust the effectiveness and motive of augmentation.

Call me “phobic” all you want – I’m not down with getting penetrated by Big Pharma.

I don’t want my veins clotting up with “information therapy.”

I don’t trust these people and I don’t trust their calculations.

Not unless they’re counting money.

Think about when your web-browser crashes, or your Internet goes down.

Now imagine that happening to your immune system.

Imagine your heart doing an automatic reboot.

It isn’t easy being a caveman, but it’s preferable to whatever Big Tech and Big Pharma have conspired to turn us into. We are not machines to be reprogrammed.

 

Don’t let anybody tell you otherwise.

 

More than likely, they’re just paid to say so…

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