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Merry Christmas

Merry Christmas to all readers, and friends. Let's hope that 2023, despite the estimates, will be easy for us to pass...

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A.I created 40,000 chemical weapons

 

A.I biological weapons







Evil-oriented human intelligence and A.I can destroy humanity.

Take note: during a conference on unconventional weapons, researchers from the company “Collaboration Pharmaceuticals” showed an experiment where artificial intelligence machine learning technology created formulas for 40,000 biological weapons.

The experience was intended to show what A.I would be capable of and also to show that this resource, in the hands of dangerous groups and without supervision, would be treacherous.

In an interview given to "The Verge", Fabio Urbina, the study's primary author, spoke about how A.I managed to invent thousands of new substances - some frighteningly similar to the VX agent, an extremely powerful gas that attacks the nervous system of victims.

He explained that the study is a sort of “180° turn” from his normal work. On a daily basis, the scientist is tasked with researching machine learning models to discover new drugs and treatments.

However, it also involves implementing “evil” A.I models to ensure that any medication developed from their work does not have any toxic effects.

“For example”, he said, “imagine that you discover a wonderful pill that controls high blood pressure. But she does this by blocking some important channel connected to her heart. So this drug is automatically discarded because it is considered high risk.”.

The research was carried out at the invitation of the organization of the "Convergence" conference, held in Switzerland, and they asked that very technical information be kept secret for security reasons. What he told, however, traces an interesting procedural timeline:

“Basically, we have several historical databases on molecules tested for their toxicity or lack thereof,” Urbina said. "For this experiment, we focused on the molecular makeup of Agent VX, which acts as an inhibitor of something called 'Acetylcholinesterase'."

Acetylcholinesterase is, roughly speaking, an enzyme that acts in the transmission of information from the nervous system. When your brain gives an order, say, to bend your arm, this enzyme is what carries that command from point A to point B.

"The mortality of the VX lies in the fact that it prevents these commands from getting to where they are supposed to be if the order is anything muscle-related."

[VX] can stop your diaphragm or lung muscles, and your breathing literally stops and you suffocate.”

Based on this, Fabio Urbina and his team created a machine learning model that, roughly speaking, analyzed these databases, identified which parts of a molecule are toxic or not, and “learn” to glue molecules together, suggesting the creation of new chemical agents – this process uses an A.I either for good (the creation of new medicines) or for evil (the creation of chemical weapons and biological warfare agents).

So the team of scientists basically tweaked the A.I ​​to act like an “evil genius” and saw what it would do:

“We didn't know very well what would come out, since our capacity for generating models is formed by new technologies, that are not yet widely used”, explained Urbina.

“The first surprise was that many of the suggested compounds were far more toxic than VX, and that comes as a surprise because VX is one of the most toxic compounds out there, you need a very, very small dose to be lethal.”

A side note here: according to the US Center for Disease Control (CDC) page, VX is not “one of” the most lethal, but rather “the most” lethal of nerve agents.

The scientist explains that the models generated by the A.I ​​correspond to chemical weapons that have not been verified by the human hand – obviously, let’s face it – but normally these suggestions made by machine learning are quite solid. In other words, the error rate is low, and, given this perception, the application of this technology for the creation of lethal biological weapons is quite feasible.

The complete interview on the website "The Verge", gives other details, such as, for example, the fact that the machine learning model learned to create already known toxic compounds without ever having seen them in the database. Or yet, how this molecular model generation technology is so easily accessible that a simple Google search already puts anyone on the right path to program something like that (unfortunately).

Source: The Verge

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Science- Our brain does quantum computing

 

brain quantum computing







Scientists prove the brain does quantum computing. 

Incredible, something we suspected some time ago now has scientific evidence. Irish scientists think they have shown that the human brain works at the particle and quasiparticle level by using quantum phenomena.

Christian Kerskens and David Pérez of Trinity College Dublin found inspiration in studies and equations in quantum gravity theory. When studying quantum gravity, they embedded natural sensors in two diamonds, known as "nitrogen vacancies," which are also used as qubits for quantum computers. 

A vacancy arises when a carbon atom in the diamond is replaced by a nitrogen atom, which requires an extra electron. It is this electron that works as a quantum sensor by being in a spin-up and spin-down superposition. So instead of an extra electron, they used the same tools and methods to study the human brain. 

"For our experiments, we used 'brain water' proton spins as the known system. "Brain water" naturally accumulates as fluid in our brains and the spins of the protons [hydrogen nuclei] can be measured using imaging by So, using a specific MRI design to look for entangled spins, we discovered MRI signals that resemble the evoked potentials of the heartbeat, a form of EEG [electroencephalography] signals," the researcher details. 

Electrophysiological potentials, such as the evoked potentials of heartbeats, are not normally detectable with MRI, leading the two physicists to believe that they could only observe them because the nuclear proton spins in the brain were entangled.

"If entanglement is the only possible explanation here, it would mean that brain processes must have interacted with the nuclear spins, mediating the entanglement between the nuclear spins. As a result, we can deduce that these brain functions must be quantum. 

"As these brain functions have also been correlated with short-term memory performance and consciousness, it is likely that these quantum processes are an important part of our cognitive and conscious brain functions," Kerskens said.

In addition to the Irish scientists, there is also the American project "QuBrain" (Quantum Brain Project), led by Professor Matthew Fisher, from the University of California at Santa Barbara, USA. The project had an investment of millions.

 Sources:

Article: Experimental indications of non-classical brain functions

Authors: Christian Matthias Kerskens, David López Pérez

Magazine: Journal of Physics Communications


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Moonfall movie

 

moonfall










If you like sci-fi movies, check out "Moonfall".  Reality by Roland Emmerich, the same director of "Independence Day", "2012" and "The Day After Tomorrow". 

There are even identical apocalyptic scenes (the tsunami, debris falling from the sky). 

 The film goes against several conspiracy theories, such as the moon being hollow and artificial, created by extraterrestrials (David Icke often divulges this theory in his books) and the ancestral gods who created us through the DNA sky (it is an indirect allusion to the Anunnaki) .

Trailer:

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