UPDATE ON TIME TRAVEL: Sequel to my 2017 blog “Mr. Pynchon and the Settling of Springfield: a baffling lesson from art history”

July 5, 2023

Ralph Losey. Published July 5, 2023.

This is an update to an earlier blog that I wrote, tongue-in-cheek, in 2017 on “evidence” of time travel from a painting. I found out, just yesterday, that this past blog went viral some time ago, honestly not sure when, with over 20,000 hits.

This prompted me, and my AI friends, to look into and write about the latest science on time travel. I also add another painting to the mix, one from the 17th Century, that Tim Cook swears has an iPhone in it. Plus, I must pet Schrodinger’s Cat, face Time Paradoxes, and, as usual, add many Midjourney AI graphics that I crafted for maximum right-brain impact. So put down your prayer books, read this for a few minutes instead, and see where and when it takes you.

Introduction

The past blog, Mr. Pynchon and the Settling of Springfield: a baffling lesson from art history, concerned an oddity of art history, a painting by a semi-famous, U.S. painter, Umberto Romano, which supposedly contains evidence of time travel. The painting was created in 1933 and clearly shows a Native American staring at an iPhone-like object. It is not a fake painting. You can see it for yourself in the original article that is included below. What does it look like to you? The providence proves it is not fake. It was painted as a mural on the wall of a Post Office in Springfield, Massachusetts. People have been walking past it every day since 1933. They look but do not see.

Of course, this future image transfer might not be the result of physical time travel, but instead, the young artist, Umberto, could have had a dream or vision of the future. Perhaps the vision was intentionally induced in a hypnagogic state, or by drugs of some sort? That seems much more likely to me, but still poses intellectual problems.

Whatever the cause, discounting chance or mass delusion, any accurate vision of the future is a mystery. It is evidence of the permeability of time, which should, by logic, and old Newtonian science, be a solid wall of causality. Visions of the future should be impossible, and yet? Schrodinger’s Cat? Infinite parallel universes? Everything, even iPhones, everywhere, all at once. Welcome to 21st Century spooky science.

Infinite icons, everywhere, all at once

Tim Cook and More Art Evidence of Time Travel

In my opinion, the 1933 painting with iPhone by Umberto could be admitted into evidence, that is, if there was ever an actual case or controversy where time travel was relevant. Of course, we have now seen that the centuries old case or controversy requirement may be waived by the Supreme Court. Apparently this can be done any time a majority of the Justices deem that is necessary to drag the country back in time. Time and law are so malleable these days.

For evidence of time travel, I would also call Tim Cook, Apple’s CEO, as a witness to the stand. Cook has publicly stated, just after seeing an original painting by 17th-century Dutch artist Pieter de Hooch, that the man in the painting is holding an iPhone. The below photos of the art have not been altered, aside from color variation, which I did not do. Sure looks like an iPhone to me. Tim will swear to it.

LadBible reported that Cook was asked in a conference, the day after seeing the painting, “Do you happen to know Tim, where and when the iPhone was invented?” Cook replied: “You know, I thought I knew until last night…. in one of the paintings I was so shocked. There was an iPhone in one of the paintings.” Acknowledging that his claim may come off as ridiculous, he explained, “It’s tough to see, but I swear it’s there. I always thought I knew when the iPhone was invented, but now I’m not so sure anymore.” Proof of time travel? 350-year-old painting seems to feature an iPhone, Tim Cook agrees. No further questions of this witness.

Time Paradox: a major problem of time travel theory

Traveling forward in time, in the sense of experiencing time dilation due to high velocities or strong gravitational fields, is well-established in physics, supported by both special and general relativity. It has been proven true many times with atomic clocks on planes and other methods. Time for anyone will slow down relative to a stationary observer. Their time keeps slowing down as their speed approaches the speed of light, or it slows down within a strong gravitational field, such as near a black hole. When they return to their prior time-space, they will have traveled into the future. Space and time are relative.

In Einstein’s unified four-dimensional space-time framework, time and space are interconnected. But, the actions of the U.S. Supreme Court aside, there are major theoretical problems with time flowing the other way, chief among them, time paradoxes. Travel back in time would logically disrupt the conventional sequence of cause and effect.

The best known time paradox is the “grandfather paradox.” In this scenario, a time traveler goes back into the past and inadvertently or deliberately kills their grandfather before their parent (the time traveler’s mother or father) is born. Consequently, the time traveler would never be born, but if they were never born, then they couldn’t have traveled back in time to kill their grandfather in the first place. This cycle presents an intractable contradiction.

Such paradoxes are the result of a linear perspective of time, where causes precede effects. Most physicists and philosophers argue that time paradoxes prove that backward time travel is inherently impossible. Others suggest that they could be resolved through a “multiverse” theory, in which the time traveler’s actions create or move them into a parallel universe. There are other explanations, such as bending space, wormholes, etc., but this one is the most popular now.

Time Travel and the Multiverse Theory: ‘Everything, Everywhere, All At Once’

The multiverse theory of time travel suggests that there are potentially an infinite number of universes, or “multiverses,” each existing parallel to one another. When one travels in time, they are not actually altering their own past or future within their original universe. Instead, they’re moving into a different parallel universe. So much for Leibniz’ “best of all possible worlds.”

One way to comprehend this concept is through the idea of “quantum superposition,” as seen in the thought experiment “Schrodinger’s Cat,” which posits that all possible states of a system exist simultaneously until observed. Similarly, for every decision or event, a universe exists for each potential outcome. Hence, when you travel back in time and change an event, you merely shift to a different parallel universe where that different event occurs.

This theory serves as a solution to time travel paradoxes. For instance, in the case of the grandfather paradox, you could go back and kill your grandfather, but that would be in a different universe. In your original universe, your grandfather still survives to have your parent, and subsequently, you. Hence, there’s no paradox.

Several renowned theoretical physicists have lent their support to some variation of the multiverse theory, including:

  1. Hugh Everett III. Way back in 1957, Everett proposed the “Many-Worlds Interpretation” of quantum mechanics, which can be thought of as a kind of multiverse. According to this interpretation, every quantum event spawns new, parallel universes.
  2. Stephen Hawking. Although he did not like the idea, Hawking often referenced the multiverse and was proposing experiments on it at the end of his life. He would reference it in the context of the anthropic principle, which states that we observe the universe the way it is because if it were different, we wouldn’t be here to observe it.
  3. Max Tegmark. He proposed a taxonomy of multiverses, classifying them into four different levels.
    1. Level 1: The Extended Universe: This level suggests that if you go far enough in any direction, you’d start seeing duplicates of everything, including Earth and yourself. It’s because the universe is so big, and there’s only a finite way to arrange particles, so patterns must repeat eventually.
    1. Level 2: The Bubble Universes: This level suggests that our universe is just one “bubble” among many in a bigger cosmos. Each bubble universe may have different physical laws, so what’s possible in one might not be possible in another.
    2. Level 3: The Many-Worlds Universe: This level comes from a way of interpreting quantum mechanics, where every possible outcome of a quantum event happens but in a different universe. So, if you flip a coin, it lands both heads and tails, but in separate universes.
    3. Level 4: The Ultimate Multiverse: This level suggests that every mathematically possible universe exists. It’s kind of the catch-all multiverse, where anything you can describe with mathematics, no matter how strange or unlikely, has a universe where it’s real.
  4. Geraint Lewis. Lesser known than the first three, Professor Lewis suggests that the burst of inflation in the early stages of our universe might be eternal, with individual universes crystallizing out of it, each written with its own unique laws of physics.

Conclusion

Science says time travel is possible, albeit it is very, very unlikely that you can go backwards. So time travel to the future might be possible, but there is no going back. Thus, if you could, for instance, somehow go from 1933, where no one has ever seen or even conceived of a cell phone, to today, where they are ubiquitous, you could not return back to 1933 to include these cell phones in your paintings. That is, unless there are an infinite number of parallel Universes, in which case anything is possible. Everything may all be happening at once, and time itself is a kind of delusion to help us make sense of it all.

Did Umberto Romano somehow transcend time and see the key icon of the early 21st Century, the iPhone? Was time travel his special artistic skill? Does that explain the names of many of his other paintings? Such as:

Please take a moment now to read the blog that I wrote six years ago, below, and then, sometime in the future, let me know what you think. I will try to remember to watch the viewing stats this time. Who knows, I may even write a prequel.

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Mr. Pynchon and the Settling of Springfield: a baffling lesson from art history

Umberto Romano (1905-1982)

Mr. Pynchon and the Settling of Springfield is the name of a mural painted at the Post Office in Springfield, Massachusetts. This mural was painted by Umberto Romano in 1933. Note the date. Time is important to this article. Umberto Romano was supposedly born in Bracigliano Italy in 1905 and moved to the United States at the age of 9. He was then raised in Springfield, Massachusetts. His self-portrait is shown right. The mural is supposed to depict the arrival in 1636 of William Pynchon, an English colonist, later known as the founder of Springfield, Massachusetts.

The reason I’m having a bit of fun with my blog and sharing this 1933 mural is the fact that the Native American shown in the lower right center appears to be holding an iPhone. And not just holding it, but doing so properly with the typical distracted gaze in his eyes that we all seem to adopt these days. Brian Anderson, Do We All See the Man Holding an iPhone in This 1937 Painting? (Motherboard, 8/24/17). Here let me focus in on it for you and you will see what I mean. Also click on the full image above and enlarge the image. Very freaky. That is undeniable.

Ok, so how did that happen? Coincidence? There is no indication of vandalism or fraud. The mural was not later touched up to add an iPhone. This is what this Romano character painted in 1933. Until very recently everyone just assumed the Indian with the elaborate goatee was looking at some kind of oddly shaped hand mirror. This was a popular item of trade in the time depicted, 1636. Not until very recently did it become obvious that he was handling an iPhone. Looks like a large version 6.1 to me. I can imagine the first people waiting in line at the Post Office in Springfield who noticed this oddity while looking at their own iPhone.

The folks who like to believe in time travel now offer this mural as Exhibit “A” to support their far-out theories. Also see: Green10 Most Compelling Pieces Of Evidence That May Prove Time Travel Exists (YouTube, 7-3-16). 

I do not know about that, but I do know that if time travel is possible, and some physicists seem to think it is, then this is not the kind of thing that should be allowed. Please add this to the list of things that no superintelligent being, either natural or artificial, but especially artificial, should be allowed to do. Same goes for screen writers. I for one cannot tolerate yet another naked Terminator or whatever traveling back in time.

But seriously, just because you are smart enough to know how to do something does not mean that you should. Time travel is one of those things. It should not be allowed, well, at least, not without a lot of care and attention to detail so as not to change anything. Legal regulations should address time travel. Build that into the DNA of AI before they leap into superintelligence. At least require all traces of time travel to be erased. No more painting iPhones into murals from the 1930s. Do not awaken the batteries, I mean the people, from their consensus trance with hints like that.

So that is my tie-in to AI Ethics. I am still looking for a link to e-discovery, other than to say, if you look hard enough and keep an open mind, you can find inexplicable things everyday. Kind of like many large organizations’ ESI preservation mysteries. Where did that other sock go?

Umberto Romano Self Portrait

So what is your take on Umberto Romano‘s little practical joke? Note he also put a witch flying on a broomstick in the Mr. Pynchon and the Settling of Springfield mural and many other odd and bizarre things. He was known as an abstract expressionist. Another of his self-portraits is shown above, titled “Psyche and the Sculptor.” (His shirt does look like one of those new skin tight men’s compression shirts, but perhaps I am getting carried away. Say, what is in his right hand?) Romano’s work is included in the Metropolitan Museum of Art, the Whitney Museum of American Art, the Fogg Art Museum in Boston and the Corcoran Gallery and Smithsonian Institution in Washington. In discussing Mr. Pynchon and the Settling of Springfield the Smithsonian explains that “The mural is a mosaic of images, rather than depicting one specific incident at a set point in time.” Not set in time, indeed.

One more thing – doesn’t this reclining nude by Umberto Romano look like a woman watching Netflicks on her iPad? I like the stand she has her iPad on. Almost bought one like it last week.

Some of Romano’s other works you might like are:

These are his titles, not mine. Not too subtle was he? There is still an active market for Romano’s work.

Ralph Losey Copyright 2023 – ALL RIGHTS RESERVED 


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Protected: Waymo v. Uber, Hide-the-Ball Ethics and the Special Master Report of December 15, 2017

December 17, 2017

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WHY I LOVE PREDICTIVE CODING: Making Document Review Fun Again with Mr. EDR and Predictive Coding 4.0

December 3, 2017

Many lawyers and technologists like predictive coding and recommend it to their colleagues. They have good reasons. It has worked for them. It has allowed them to do e-discovery reviews in an effective, cost efficient manner, especially the big projects. That is true for me too, but that is not why I love predictive coding. My feelings come from the excitement, fun, and amazement that often arise from seeing it in action, first hand. I love watching the predictive coding features in my software find documents that I could never have found on my own. I love the way the AI in the software helps me to do the impossible. I really love how it makes me far smarter and skilled than I really am.

I have been getting those kinds of positive feelings consistently by using the latest Predictive Coding 4.0 methodology (shown right) and KrolLDiscovery’s latest eDiscovery.com Review software (“EDR”). So too have my e-Discovery Team members who helped me to participate in TREC 2015 and 2016 (the great science experiment for the latest text search techniques sponsored by the National Institute of Standards and Technology). During our grueling forty-five days of experiments in 2015, and again for sixty days in 2016, we came to admire the intelligence of the new EDR software so much that we decided to personalize the AI as a robot. We named him Mr. EDR out of respect. He even has his own website now, MrEDR.com, where he explains how he helped my e-Discovery Team in the 2015 and 2015 TREC Total Recall Track experiments.

Bottom line for us from this research was to prove and improve our methods. Our latest version 4.0 of Predictive Coding, Hybrid Multimodal IST Method is the result. We have even open-sourced this method, well most of it, and teach it in a free seventeen-class online program: TARcourse.com. Aside from testing and improving our methods, another, perhaps even more important result of TREC for us was our rediscovery that with good teamwork, and good software like Mr. EDR at your side, document review need never be boring again. The documents themselves may well be boring as hell, that’s another matter, but the search for them need not be.

How and Why Predictive Coding is Fun

Steps Four, Five and Six of the standard eight-step workflow for Predictive Coding 4.0 is where we work with the active machine-learning features of Mr. EDR. These are its predictive coding features, a type of artificial intelligence. We train the computer on our conception of relevance by showing it relevant and irrelevant documents that we have found. The software is designed to then go out and find all other relevant documents in the total dataset. One of the skills we learn is when we have taught enough and can stop the training and complete the document review. At TREC we call that the Stop decision. It is important to keep down the costs of document review.

We use a multimodal approach to find training documents, meaning we use all of the other search features of Mr. EDR to find relevant ESI, such as keyword searches, similarity and concept. We iterate the training by sample documents, both relevant and irrelevant, until the computer starts to understand the scope of relevance we have in mind. It is a training exercise to make our AI smart, to get it to understand the basic ideas of relevance for that case. It usually takes multiple rounds of training for Mr. EDR to understand what we have in mind. But he is a fast learner, and by using the latest hybrid multimodal IST (“intelligently spaced learning“) techniques, we can usually complete his training in a few days. At TREC, where we were moving fast after hours with the Ã-Team, we completed some of the training experiments in just a few hours.

After a while Mr. EDR starts to “get it,” he starts to really understand what we are after, what we think is relevant in the case. That is when a happy shock and awe type moment can happen. That is when Mr. EDR’s intelligence and search abilities start to exceed our own. Yes. It happens. The pupil then starts to evolve beyond his teachers. The smart algorithms start to see patterns and find evidence invisible to us. At that point we sometimes even let him train himself by automatically accepting his top-ranked predicted relevant documents without even looking at them. Our main role then is to determine a good range for the automatic acceptance and do some spot-checking. We are, in effect, allowing Mr. EDR to take over the review. Oh what a feeling to then watch what happens, to see him keep finding new relevant documents and keep getting smarter and smarter by his own self-programming. That is the special AI-high that makes it so much fun to work with Predictive Coding 4.0 and Mr. EDR.

It does not happen in every project, but with the new Predictive Coding 4.0 methods and the latest Mr. EDR, we are seeing this kind of transformation happen more and more often. It is a tipping point in the review when we see Mr. EDR go beyond us. He starts to unearth relevant documents that my team would never even have thought to look for. The relevant documents he finds are sometimes completely dissimilar to any others we found before. They do not have the same keywords, or even the same known concepts. Still, Mr. EDR sees patterns in these documents that we do not. He can find the hidden gems of relevance, even outliers and black swans, if they exist. When he starts to train himself, that is the point in the review when we think of Mr. EDR as going into superhero mode. At least, that is the way my young e-Discovery Team members likes to talk about him.

By the end of many projects the algorithmic functions of Mr. EDR have attained a higher intelligence and skill level than our own (at least on the task of finding the relevant evidence in the document collection). He is always lighting fast and inexhaustible, even untrained, but by the end of his training, he becomes a search genius. Watching Mr. EDR in that kind of superhero mode is what makes Predictive Coding 4.0 a pleasure.

The Empowerment of AI Augmented Search

It is hard to describe the combination of pride and excitement you feel when Mr. EDR, your student, takes your training and then goes beyond you. More than that, the super-AI you created then empowers you to do things that would have been impossible before, absurd even. That feels pretty good too. You may not be Iron Man, or look like Robert Downey, but you will be capable of remarkable feats of legal search strength.

For instance, using Mr. EDR as our Iron Man-like suits, my e-discovery Ã-Team of three attorneys was able to do thirty different review projects and classify 17,014,085 documents in 45 days. See 2015 TREC experiment summary at Mr. EDR. We did these projects mostly at nights, and on weekends, while holding down our regular jobs. What makes this crazy impossible, is that we were able to accomplish this by only personally reviewing 32,916 documents. That is less than 0.2% of the total collection. That means we relied on predictive coding to do 99.8% of our review work. Incredible, but true.

Using traditional linear review methods it would have taken us 45 years to review that many documents! Instead, we did it in 45 days. Plus our recall and precision rates were insanely good. We even scored 100% precision and 100% recall in one TREC project in 2015 and two more in 2016. You read that right. Perfection. Many of our other projects attained scores in the high and mid nineties. We are not saying you will get results like that. Every project is different, and some are much more difficult than others. But we are saying that this kind of AI-enhanced review is not only fast and efficient, it is effective.

Yes, it’s pretty cool when your little AI creation does all the work for you and makes you look good. Still, no robot could do this without your training and supervision. We are a team, which is why we call it hybrid multimodal, man and machine.

Having Fun with Scientific Research at TREC 2015 and 2016

During the 2015 TREC Total Recall Track experiments my team would sometimes get totally lost on a few of the really hard Topics. We were not given legal issues to search, as usual. They were arcane technical hacker issues, political issues, or local news stories. Not only were we in new fields, the scope of relevance of the thirty Topics was never really explained. (We were given one to three word explanations in 2015, in 2016 we got a whole sentence!) We had to figure out intended relevance during the project based on feedback from the automated TREC document adjudication system. We would have some limited understanding of relevance based on our suppositions of the initial keyword hints, and so we could begin to train Mr. EDR with that. But, in several Topics, we never had any real understanding of exactly what TREC thought was relevant.

This was a very frustrating situation at first, but, and here is the cool thing, even though we did not know, Mr. EDR knew. That’s right. He saw the TREC patterns of relevance hidden to us mere mortals. In many of the thirty Topics we would just sit back and let him do all of the driving, like a Google car. We would often just cheer him on (and each other) as the TREC systems kept saying Mr. EDR was right, the documents he selected were relevant. The truth is, during much of the 45 days of TREC we were like kids in a candy store having a great time. That is when we decided to give Mr. EDR a cape and superhero status. He never let us down. It is a great feeling to create an AI with greater intelligence than your own and then see it augment and improve your legal work. It is truly a hybrid human-machine partnership at its best.

I hope you get the opportunity to experience this for yourself someday. The TREC experiments in 2015 and 2016 on recall in predictive coding are over, but the search for truth and justice goes on in lawsuits across the country. Try it on your next document review project.

Do What You Love and Love What You Do

Mr. EDR, and other good predictive coding software like it, can augment our own abilities and make us incredibly productive. This is why I love predictive coding and would not trade it for any other legal activity I have ever done (although I have had similar highs from oral arguments that went great, or the rush that comes from winning a big case).

The excitement of predictive coding comes through clearly when Mr. EDR is fully trained and able to carry on without you. It is a kind of Kurzweilian mini-singularity event. It usually happens near the end of the project, but can happen earlier when your computer catches on to what you want and starts to find the hidden gems you missed. I suggest you give Predictive Coding 4.0 and Mr. EDR a try. To make it easier I open-sourced our latest method and created an online course. TARcourse.com. It will teach anyone our method, if they have the right software. Learn the method, get the software and then you too can have fun with evidence search. You too can love what you do. Document review need never be boring again.

Caution

One note of caution: most e-discovery vendors, including the largest, do not have active machine learning features built into their document review software. Even the few that have active machine learning do not necessarily follow the Hybrid Multimodal IST Predictive Coding 4.0 approach that we used to attain these results. They instead rely entirely on machine-selected documents for training, or even worse, rely entirely on random selected documents to train the software, or have elaborate unnecessary secret control sets.

The algorithms used by some vendors who say they have “predictive coding” or “artificial intelligence” are not very good. Scientists tell me that some are only dressed-up concept search or unsupervised document clustering. Only bona fide active machine learning algorithms create the kind of AI experience that I am talking about. Software for document review that does not have any active machine learning features may be cheap, and may be popular, but they lack the power that I love. Without active machine learning, which is fundamentally different from just “analytics,” it is not possible to boost your intelligence with AI. So beware of software that just says it has advanced analytics. Ask if it has “active machine learning“?

It is impossible to do the things described in this essay unless the software you are using has active machine learning features.  This is clearly the way of the future. It is what makes document review enjoyable and why I love to do big projects. It turns scary to fun.

So, if you tried “predictive coding” or “advanced analytics” before, and it did not work for you, it could well be the software’s fault, not yours. Or it could be the poor method you were following. The method that we developed in Da Silva Moore, where my firm represented the defense, was a version 1.0 method. Da Silva Moore v. Publicis Groupe, 287 F.R.D. 182, 183 (S.D.N.Y. 2012). We have come a long way since then. We have eliminated unnecessary random control sets and gone to continuous training, instead of train then review. This is spelled out in the TARcourse.com that teaches our latest version 4.0 techniques.

The new 4.0 methods are not hard to follow. The TARcourse.com puts our methods online and even teaches the theory and practice. And the 4.0 methods certainly will work. We have proven that at TREC, but only if you have good software. With just a little training, and some help at first from consultants (most vendors with bona fide active machine learning features will have good ones to help), you can have the kind of success and excitement that I am talking about.

Do not give up if it does not work for you the first time, especially in a complex project. Try another vendor instead, one that may have better software and better consultants. Also, be sure that your consultants are Predictive Coding 4.0 experts, and that you follow their advice. Finally, remember that the cheapest software is almost never the best, and, in the long run will cost you a small fortune in wasted time and frustration.

Conclusion

Love what you do. It is a great feeling and sure fire way to job satisfaction and success. With these new predictive coding technologies it is easier than ever to love e-discovery. Try them out. Treat yourself to the AI high that comes from using smart machine learning software and fast computers. There is nothing else like it. If you switch to the 4.0 methods and software, you too can know that thrill. You can watch an advanced intelligence, which you helped create, exceed your own abilities, exceed anyone’s abilities. You can sit back and watch Mr. EDR complete your search for you. You can watch him do so in record time and with record results. It is amazing to see good software find documents that you know you would never have found on your own.

Predictive coding AI in superhero mode can be exciting to watch. Why deprive yourself of that? Who says document review has to be slow and boring? Start making the practice of law fun again.

Here is the PDF version of this article, which you may download and distribute, so long as you do not revise it or charge for it.