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CONCERNING CERN: ARTIFICIAL INTELLIGENCE TO UNPLUG DATA FLOOD AT CERN? ...

THis is one of the articles that so many of you shared that I simply have to comment about it. There seems to be an expanded role for AI envisioned at CERN, which the the world's largest single-entity generator of "data", according to this article from Scientific American:

Artificial Intelligence Called In to Tackle LHC Data Deluge

Now, before I venture into my high octane speculation of the day, I want the reader to focus on the following paragraphs, which summarize the data filtration and collection system in use at CERN's Large Hadron Collider currently, and which I reviewed in my most recent book, The Third Way:

Driven by an eagerness to make discoveries and the knowledge that they will be hit with unmanageable volumes of data in ten years’ time, physicists who work on the Large Hadron Collider (LHC), near Geneva, Switzerland, are enlisting the help of AI experts.

On November 9-13, leading lights from both communities attended a workshop—the first of its kind—at which they discussed how advanced AI techniques could speed discoveries at the LHC. Particle physicists have “realized that they cannot do it alone”, says Cécile Germain, a computer scientist at the University of Paris South in Orsay, who spoke at the workshop at CERN, the particle-physics lab that hosts the LHC.

Computer scientists are responding in droves. Last year, Germain helped to organize a competition to write programs that could ‘discover’ traces of the Higgs boson in a set of simulated data; it attracted submissions from more than 1,700 teams.

Particle physics is already no stranger to AI. In particular, when ATLAS and CMS, the LHC’s two largest experiments, discovered the Higgs boson in 2012, they did so in part using machine learning—a form of AI that ‘trains’ algorithms to recognize patterns in data. The algorithms were primed using simulations of the debris from particle collisions, and learned to spot the patterns produced by the decay of rare Higgs particles among millions of more mundane events. They were then set to work on the real thing.

But in the near future, the experiments will need to get smarter at collecting their data, not just processing it. CMS and ATLAS each currently produces hundreds of millions of collisions per second, and uses quick and dirty criteria to ignore all but 1 in 1,000 events. Upgrades scheduled for 2025 mean that the number of collisions will grow 20-fold, and that the detectors will have to use more sophisticated methods to choose what they keep, says CMS physicist María Spiropulu of the California Institute of Technology in Pasadena, who helped to organize the CERN workshop. “We’re going into the unknown,” she says.

Inspiration could come from another LHC experiment, LHCb, which is dedicated to studying subtle asymmetries between particles and their antimatter counterparts. In preparation for the second, higher-energy run of the LHC, which began in April, the LHCb team programmed its detector to use machine learning to decide which data to keep.

In effect, what all this means, is that the enormous mountain of data that CERN's collider generates is first filtered by computer algorithms which are programed to sift through the mountain of data and pull certain events which conform to this programmed filter for human analysis and review.

It was this fact that led me to propose, in The Third Way, the hypothesis that there could be hidden algorithms, in all the millions of lines of code, designed to pull anomalous or other types of events, and shunt them into a covert program consisting of covert analysts that might have  Additionally, I suggested that one such program would not consist so much of the experiments themselves, but rather, "data correlation" experiments, pulling data not only from the collider, but from concurrent events, be they geophysical, or events concurrent with collider runs that occur in the magnetosphere of the earth, solar events, and so on. In other words, I was, and am, proposing the idea that in addition to the public story of "particle physics," there might be hidden experiments, only revealed by means of such data correlation algorithms, dealing with the macro-systemic effects of the collider's operation.

With that in mind, consider the very opening paragraph of the article:

The next generation of particle-collider experiments will feature some of the world’s most advanced thinking machines, if links now being forged between particle physicists and artificial intelligence (AI) researchers take off. Such machines could make discoveries with little human input—a prospect that makes some physicists queasy. (Emphasis added)

Such a statement seems to imply the possibility for a hidden program, but more importantly, throws an interesting and intriguing light on my "correlation" experiment idea, for such an experiment would seem, perforce, to demand such vast computational powers that only an AI could provide, sifting through reams of data not only from particle collisions, but "concurrent" data seemingly unrelated save only their occurrence in time frames when the collider is active, and their absence when it is not, data from human behavior trends (if any), data from alterations in the magnetosphere's shape and behavior(and there is some suggestive stuff out there), to other types of data. This would require enormous computational ability and considerable skill in designing the algorithms.

So in my high octane speculation of the day, I suspect that perhaps we've been given a hint of this, and of these types of possibilities, in this article, for it seems, reading between the lines a bit, these very types of possibilities.

See you on the flip side...

21 thoughts on “ CONCERNING CERN: ARTIFICIAL INTELLIGENCE TO UNPLUG DATA FLOOD AT CERN? ...”

  1. i like joseph’s speculations on the simplest nature of cern that makes sense to date. it’s a seriously large powerful rotational electromagnetic toy – with counter rotational capabilites too. these are no small details. consider the size and strength of the electro/magnet field of this bad boy alone. or not alone as it were.

    thunderbolts.info (the electric universe guys) bring to mind a few other related details. the sun is electric. there is no dark matter. only plasma not currently in glow mode. plasma is everywhere. the sun’s field influences and most likely gave birth to the other bodies in the solar system.

    here’s a biggie. electromagnetic force is 1 x 10 to the 32nd power stronger than gravity.

    now the speculation yet to prove out is that gravity is a small side effect of electromagnetic force. a force that is everywhere given than plasma is everywhere. for that matter, matter is probably a manifestation of electromagnetic energy. we really are stuff of stars.

    all besides the point until one considers doc’s comments about the strength of cern and considers its ability to affect the very involved and direct relationship between earth and sun.

    on a side note, reminds me of another aspect of frank herbert’s predictive programming. the most powerful person on a planet controls the planet’s weather. the sun’s electrical interactions with earth (another obvious electrical system in itself) affect the earth’s weather (and volcanoes, and earthquakes, and…) so directly and electrically, cern may be one more link in that control system.

    or it could be one big outboard motor they’re hanging off the side of the hemisphere.

    1. incidentally, there is no way of getting away from bias by the authors in any system, regardless of how it’s named and imagined. saying that ai is somehow different this time is like all other claims of past failures being impossible since we’re completely different now –

      when in fact the only differences really are bigger, faster, stronger —– and more vulnerable to bigger nastier mistakes.

      these are interesting phenomena to watch. case in point: wal thornhill’s explanations of recent cometary phenomena observed by nasa. every time nasa’s predictions are way off the mark and then their after comments are all amazement and “this changes everything – we need to completely rethink our model of the universe.” but they never do rethink anything. they just call stephen hawking or some to imagine some other wild-burro-meme about black holes sucking each other up into singularities that end twin universes that explain why nasa had their heads so far up their telescopes.

      meanwhile wal thornhill lays out simple predictions that come true and fry nasa’s equipment in exactly the ways thornhill (and all other electrical engineers and plasma physicists) predicted.

      so hmmm. am i accusing nasa of bias? nah. werner VB and friends weren’t subject to that type of error. it’s different this time. oh yeh. and they’d tell us if they were. and they’d be as open as marcin jakubowski, right?

  2. There’s something magical about closed circuits, after all the human body is system of multiple circuits.

  3. Did no one else notice the last paragraph of the article!?!

    “Deep learning could even lead to the discovery of particles that no theorist has yet predicted, says CMS member Maurizio Pierini, a CERN staff physicist who co-hosted the workshop. “It could be an insurance policy, just in case the theorist who made the right prediction isn’t born yet.”

    Um what? Made the right prediction, past tense. Born yet, as in will be born in the future. How can they verify predictions that haven’t yet been made? Are we looking at an admission that they are manipulating time? The bell did just that, turning things to goo by distorting time, so what are they implying here?

    1. Guygrr, I hadn’t noticed those sentences, thanks for pointing them out.

      Mr. Swerdlow is relying on anecdotal evidence from people he claims are reliable. If you watch the video several minutes after 44 minutes mark, he also contents there’s a vast underground network underneath CERN, going into various countries. Also, a nurse he knows worked there and someone was brought up from the tunnels with a disorder she’d never encountered before.

      It’s obvious something big is going on there that is not being presented to the public. Parallel universes and time manipulation figure into it somehow, it would seem a likely bet.

    2. It’s a miracle, their deep learning prediction “discovery of new particles” was spot on. They found an excess pair of gamma rays corresponding to 750 electron volts which could be radioactive decay of a new particle. Joe Lykken, a team member of CERN said “we get paid to speculate”. Yep those CERN scientists like to keep secrets too.
      http://www.nytimes.com/2015/12/16/science/physicists-in-europe-find-tantalizing-hints-of-a-mysterious-new-particle.html?ribbon-ad-idx=1&rref=science&module=Ribbon&version=context&region=Header&action=click&contentCollection=Science&pgtype=article&_r=1

  4. And where would one find the most advanced computer systems in the USA?

    Oak Ridge TN, of course! That kind of rings a defense connection BELL for some reason…

    The U.S. Department of Energy’s (DOE) Oak Ridge Leadership Computing Facility (OLCF) has signed a contract with IBM to bring a next-generation supercomputer to Oak Ridge National Laboratory (ORNL). The OLCF’s new hybrid CPU/GPU computing system, Summit, will be delivered in 2017
    http://computing.ornl.gov/

    The QT word is that the Government has some HUGE computer facility at Oak Ridge that they don’t want most people to know about. I wonder what they are doing with that Tech????

  5. Concerns about a SkyNet situation are valid. However, ‘machine learning’ is far from an actual AI. Although, throwing-in all kinds of ‘extraneous’ data might force the complexity to a point where, like the “Jeopardy” computer, it is indistinguishable from a true AI.

    My ‘gut feeling’ is more along Aridzonan_13’s line. Assuming a “Babylon 5”-style universe, many civilizations and even species have risen and fallen over the Billennia. What would outlast these species? Why, something inorganic – and also not subject to the ennui of time…

    I suspect that ancient AIs dot the universe, waiting for new species to come upon them. Whether that has happened to our planet – and hence the cold, impersonal, long-term planning ‘modus operandi’ – is an interesting question. It also might explain the rapid ‘insertion’ of computer technology (and monitoring) into every part of our lives…

    1. Of course, an AI might not passively wait for contact. Pod-up a few billion chip-version copies, and spread them across the cosmos. When you meet a useable species, assume a hidden, directorial-style role. Phone home…

  6. Along these lines, here’s a video of the controversial Stewart Swerdlow speaking about the real purpose of CERN. He contends that CERN is being used to collapse and intermix this timeline into a parallel universe where the NWO already has total control.

    His comments on CERN start at about 44 minutes. Take it for what it’s worth.

    http://fktv.is/stewart-swerdlow-cern-being-used-to-collapse-this-timeline-into-parallel-universes-where-the-nwo-has-already-been-achieved-27437

  7. AI huh, well I think a lot of people have missed the boat on CERN. It is my thinking that, as Joseph has eluded to, that there is something very esoteric about CERN. In other words what are they trying to achieve? hummm finding more particles, well yes, but which particles?
    Switch on your esoteric button and consider this, what if you could find out what started the universe and also how it works, in other words, sympathetic magic, the Philosophers Stone, the tablets of destinies. If you could figure out all of the above, then the ultimate weapon is yours, or the ultimate control over the universe is yours, it’s that simple, and they are going for it.

  8. This reminds me of the movie “Colossus: The Forbin Project” circa 1970. It was the forerunner of “The Terminator” series. Where a Super Computer decides man needs to be managed and threatens nuclear destruction if it’s demands aren’t met.. We have no idea what CERN is. Best estimates are gleaned from looking at it’s logistacal needs. My guess is, that the AI won’t be that artificial and may not be from “these here parts”..

    The older I get, the more I feel like I’m living in a comic book.

  9. Just wondering what scam CERN like Fusion Nuclear Power is fronting for. Our elites really know they have money to burn on their pet projects after all it’s not their money to begin with.

  10. Robert Barricklow

    CONTROL

    That is the ultimate objective.
    Control the inputs… and you control the outputs.
    There are shifting through they’re “live-in-action” experiments[all kinds social, environmental, biological, etc.] with the high-tech learning machines to see correlations that relate to the effects on society as a whole[coupled w/individualized live-in-action experimentation].
    As info comes in, and is analyzed in real-time; fine-tuned adjustments are made – all with the ultimate objective of controlling the planet earth.

    TOTAL CONTROL.

  11. 2 Loops – One for particle physics–the cover story, one for Tesla Physics -“thre Real and ‘Future Nut’….

  12. I still feel like what the media and scientists call AI is a language, not a point of view in itself. I don’t so much have a problem with your analysis as with the ability of these people to do what they claim. Controlling bias is not something I trust materialists to be good at.

    1. I get the definite feeling it’s a very detailed “program” (language?) and not so much an intelligence they are calling AI.

      What do you suppose could be their motive in wanting to make people think it’s an actual intelligence? (Other than bias control – I know that’s not what you meant – at least, I don’t think it is, lol!)

      Oh! I know! it’s probably a CYA mechanism. When they rip a hole in spacetime or blow the world up, consequently disposing of billions of people, in either case, they can blame it on AI. Skynet, as it were. Just speculation, of-course, ; -)

      1. Sophisticated… that’s the word I wanted. Instead of detailed. Maybe sophisticated AND detailed… program.

        Boy, you can sure tell when a person is not very learned… not very well versed in sophisticated and technical terminology, huh. The more I’m acquainted with people who actually, well, the only words I can think of right now are: the more I’m around smart people, the more I see my own lack thereof.

        I think I’ll go back to the very first webinar on the Doctrine of Corporate Personhood which I started yesterday and which I found to be extremely interesting. You can only start at the beginning, to BEGIN to understand, in more detail, what is really, and has been for a long, long time, going on. Unfortunately, my brain isn’t big enough to hold all information about all things. But I certainly DO find this particular topic interesting. CERN. And all things related to the underlying reality of things, which, if you get right down to it, pretty much includes just about everything going on, doesn’t it.

  13. Good analysis Doctor , who really knows what other experiments or data they are collecting at CERN , I doubt the public will be told the truth.

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