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At the end of July, I was on Reddit and saw u/Memetic1 posted; I need to find out the story behind this crazy article on Forbes:
Forbes took down this article with no explanation at all. Source Here
If you go to the site now this article is gone, and I just want to know how this person is an apparent Stanford fellow. Was this an experiment with AI writing that went horribly wrong? Did this guy have some sort of mental break and decide to write an article during it? Reddit Source here
Ok. Call me curious and watch me go. I can’t help it. I also can’t explain how I’m seeing the right holes to dig into, but I am. And this Rabbit Hole is deep. And the deeper I went, the more concerned I became. Why? I’ll show you why, but first things first, so let me get back to the beginning.
Who is Lance B. Eliot?
Neanderthals. AI. Self driving cars. And an article that was quickly taken down shortly after it was posted on Reddit? Why? So I jumped online to see what was going on, and sure enough, I can’t access the article. I go to archive sites and I can only find half accessible screen shots. Alright. Let’s keep going. And I do. But to no avail. All I can find are snippets of the article on Twitter, Reddit, and a couple of articles. Alright, time to put Eye of the Tiger on repeat and imitate the quick cut movie montages before the big fight.
Cause this is a fight, and this fight will go until a KO happens.
Lance’s Picture Perfect Credentials.
Did you ever let your imagination run wild as a kid? Did you ever have elaborate world ending scenarios where you were the only guy who could save mankind? So you did everything you could to prepare; you bought stocks in robotics, you championed geo-engineering to save the environment, you bought farmland, invested in gene editing technology, fake meat, and warned humanity about an impending pandemic? No? Oh, that must have only been Bill Gates.
But seriously, as a kid I thought I could master everything that I was interested in. Astronomy. Computer programming. Law. Psychology. Literature. And on and on. Then I became an adult and realized that wasn’t possible. And then the pandemic hit and I realized that it’s only possible for Bill Gates, and Lance B. Eliot.
Forbes • Lance B. Eliot is a world-renowned expert on Artificial Intelligence (AI) with over 3 million amassed views of his AI columns. As a seasoned executive and high-tech entrepreneur, he combines practical industry experience with deep academic research to provide innovative insights about the present and future of AI and ML technologies and applications. Formerly a professor at USC and UCLA, and head of a pioneering AI lab, he frequently speaks at major AI industry events. Author of over 40 books, 500 articles, and 200 podcasts, he has made appearances on media outlets such as CNN and co-hosted the popular radio show Technotrends. He’s been an adviser to Congress and other legislative bodies and has received numerous awards/honors. He serves on several boards, has worked as a Venture Capitalist, an angel investor, and a mentor to founder entrepreneurs and startups. SOURCE HERE
That’s quite the bio, isn’t it. If I was looking for comparisons, maybe Elon Musk or Bill Gates might be as impressive, but trust me, Bill and Elon are nothing like Lance.
Stanford • Dr. Lance Eliot is a globally recognized expert on AI and previously served as a professor at the University of Southern California (USC) where he also was the Executive Director of a pioneering AI Research Laboratory. His books on AI have been ranked in the Top 10 of all-time AI books, and he is a frequent speaker at AI conferences, including having been the keynote speaker at AI World. Dr. Eliot’s columns for Forbes and AI Trends are widely respected and have amassed over 2.7 million views. Known for his expertise in the areas of AI societal impacts, he has served as an adviser to the Congressional Vice-Chair of the U.S. Congressional Committee on Science & Technology, has published over 250 articles, been an Arbitrator for the American Arbitration Association, and given talks at numerous Computer Law industry events. Dr. Eliot has also been a top executive and corporate officer in billion-dollar sized companies, along with being a successful entrepreneur, and most recently served as a venture capitalist with a major VC firm. Source Here
Uhm. Ok. Now you really don’t have to be Sherlock Holmes to figure out there’s a glitch in the Matrix. Because there is no way that isn’t fake. No. Way. At. All.
So I decide to search YouTube for Lance. He has to be on there, you don’t become a world famous AI scientist, own companies, consult to the government, appear on CNN, co-host shows, and don’t have live recordings.
And I find one. Only one result for a world famous AI TV show host. Ok.
January 25, 2017 • AIShowBiz Pitch Fest Award Competition. YouTube Link
And now the Rabbit Hole gets deeper. He’s listed as a judge, only I don’t see anyone that looks like Lance on the panel. There’s only one photo of him online (yep, just one, think about that) and it’s the creepiest perv photo trying to look cool photo that I’ve ever seen. Yet, he’s not sitting with the judges.
So I check the name in the judges listing again. Maybe I got it wrong. Nope there it is, listed under CEO Techbrium Inc. In 2017. Wait. Why isn’t that in either Bio?
OK. Time to hit up LinkedIn.
1 year at Forbes and Stanford. Sounds good. Kind of strange, but nothing that would set alarm bells off. And then I hit this.
Chief AI Scientist • Techbrium Inc. • 2020 – Present less than a year.
Did you catch that? Present less than a year at Techbrium. The YouTube video from 2017 has him as the CEO, and not the Chief AI scientist. Ding. Ding. Goes the fire alarm. Let’s look at the rest of his LinkedIn.
Senior Vice President Saban Capital Group 2017 – 2019 – 2years
Global Vice President Daymon Retail Services 2015 – 2017 – 2 years
Managing Partner Tatum, a Randstad Company 2014 – 2015 – 1 year
Vice President AccentCare Incorporated 2008 – 2013 – 5 years
Founder & CEO Eliot & Associates 1996 – 2008 – 12 years
Either Lance has figured out how to clone himself, or something isn’t right here. They may have figured out how to clone sheep in the lab years ago, and the New Normal internet behavioral manipulation might be making sheep’s out of society, but it hasn’t got me yet. So I’ll keep breaking down Lance’s DNA and see what other nuggets we can find.
So I go to his blog. And it keeps on getting better.
Introduction to Driverless Self-Driving Cars. (New Book) January 1, 2018.
New Advances in AI Autonomous Driverless. Self-Driving Cars (New Book) January 1, 2018.
Innovation and Thought Leadership on Self-Driving Driverless Cars (New Book) January 1, 2018.
Advances in AI and Autonomous Vehicles: Cybernetic Self-Driving Cars (New Book) January 1, 2018.
Self-Driving Cars: The Mother of All AI Projects (New Book) January 1, 2018.
He wrote five books. In. One. Day. What’s your problem slacker?
Are you seeing the problem yet? Does this guy sleep? Because he can’t. It would be impossible. Not only can’t he sleep, but he also had to find a way to stop time. Because it isn’t humanly possible to achieve what Lance has done. Because not only did he write five books in one day, he aslo has numerous blog posts in a single day, sometimes consecutively.
The Greatest Trick the Devil Ever Pulled.
So while I’m on his blog, I make my way to his second entry. There are other posts that I will discuss in follow up posts, but for now, we start here. And if you think you know where this is going, you might. But trust me, you’ve only guessed one part of an extremely disturbing post.
Would you like to earn $175,000? Got your attention!
Now, don’t get worried that I am going to suddenly offer you untold riches by doing no work — this is not one of those untoward scams.
Instead, this is a chance to show the world that you have what it takes to advance our understanding about data science, plus aid the environment, and gleefully win $175,000 for doing so.
In a first time ever contest, the Association for Computing Machinery (ACM) has teamed up with other partners to provide an open competition for showcasing your data science skills and knowledge.
The competition is known as the National Data Science Bowl.
Besides the awkward language used at the start, it sounds normal enough, yet it will become New Normal soon enough.
In conjunction with the Oregon State University (OSU) Hatfield Marine Science Center, about 50 million oceanic images were collected over an 18-day period and consist of about 80 terabytes of imagery data. You are able to freely download the data from the contest web site (more on this at the end of this piece).
Your task is to help analyze this data.
As the contest rules say, you are to predict ocean health, one plankton at a time.
Not joking, by the way, since plankton is an essential part of the oceanic ecosystem. Estimates indicate that plankton account for at least half of the primary productivity on earth and generate an enormous amount of the total carbon in the global carbon cycle.
They are integral to the aquatic food web.
Knowing their population levels, along with other metrics and relationships, provides an important underlying backbone for understanding our oceans and the environment.
Hold up. Back up. Pack it up. Rewind. The facts keep stackin up. Life is like a box of chocolates, right Forest Gump? One man’s treasure is another man’s junk. Right? Read the above paragraph again. Is it junk or treasure? A casual reader wouldn’t pick up on the word that just sent me to defcon one. What is that word?
Plankton. That’s it, but that’s more than enough. DMS. Dimethyl Sulfide.
DMS originates primarily from DMSP, a major secondary metabolite in some marine algae. DMS is the most abundant biological sulfur compound emitted to the atmosphere. Emission occurs over the oceans by phytoplankton. DMS is also produced naturally by bacterial transformation of dimethyl sulfoxide (DMSO) waste that is disposed of into sewers, where it can cause environmental odor problems. DMS is oxidized in the marine atmosphere to various sulfur-containing compounds, such as sulfur dioxide, dimethyl sulfoxide (DMSO), dimethyl sulfone, methanesulfonic acid and sulfuric acid. Among these compounds, sulfuric acid has the potential to create new aerosols which act as cloud condensation nuclei. Through this interaction with cloud formation, the massive production of atmospheric DMS over the oceans may have a significant impact on the Earth’s climate. The CLAW hypothesis suggests that in this manner DMS may play a role in planetary homeostasis. Source Here
So we have a world leading expert on AI named Lance. He’s the CEO and Chief AI scientist of a company named Techbrium. He joined the company in 2020, but was somehow running it in 2017 (and the company’s website is faker than fake facts). He writes five books in one day. Numerous blog posts. Up to five articles in a month for Forbes magazine (seriously). And now he brings up a Plankton data science competition. And plankton DMS was first identified as a climate change cloud producer by James Lovelock, the Rockefeller funded scientist who came up with the Gaia hypothesis, and who know says the earth has already passed the tipping point to environmental collapse. Good times.
And DMS is a sulfur compound. A rotten egg smell. And Cyanobacteria produces hydrogen sulfide, which can smell like rotten eggs. And rotten egg smells are being reported across the planet. And it’s becoming clearer now that Covid-19 outbreaks occur alongside Cyanobacteria blooms (Blue Green Algae).
Some phytoplankton are bacteria, some are protists, and most are single-celled plants. Among the common kinds are cyanobacteria, silica-encased diatoms, dinoflagellates, green algae, and chalk-coated coccolithophores.
And now please know that James Lovelock once said that we have until around 2028 before eighty percent of the population gets wiped out by climate collapse. So what? That won’t happen. It’s a hoax. Right? Maybe. And maybe the 80% figure is right or it’s wrong. Yet the argument for the figure, namely environmental collapse, looks to be right, and the oceans look like they’re playing a big part, so let’s get back to phytoplankton and water, and it’s DMS emissions.
Edward Snowden, NSA, and Lance?
Strap in tight, we’re almost at the end of the first installment. Lance’s blog posts start on December 19, 2014. His next blog post comes on January 7, 2015. And there’s that year again, 2015. Flatten the Curve. 2015 was a busy year. Part 26. This was the blog post linking to the Data Science Bowl. This is his second post.
Yes, there has been a great deal of advancement in image processing, but there are still lots of room left to go.
This contest helps to highlight some of the aspects that we still need more work on. Image processing also can be enriched by lending a hand from other allied areas of computer science. For example, the use of machine learning techniques and tools is a big part of the image processing forte.
And, we are the cusp of the Internet of Things, which means that soon, tons of other everyday products will be Internet connected, generating tons and tons of data, coming from our watches, our eyeglasses, our kitchen appliances, and the rest.
Analyzing and classifying the contents of the images for this contest will be tough, since there are a wide variety of sea life pictured, including tiny single-celled creatures to large fish, and due to the notion that the images capture them in varying 3D orientations, encompassing lots of fecal matter floating around (yucky, but there for a reason), and the images themselves are noisy, meaning that there is fuzziness of the images or other difficulties (imagine the pictures you take and the kinds of “noise” found in them). Source Here
And then I click on the link. Source Here
Booz. Allen. Hamilton. The company Edward Snowden worked for when he turned whistleblower. The company that’s a subcontractor for the NSA. The company that was associated with the PRISM Surveillance system, the SWIFT surveillance system, and HBGary, the company that was bought by Booz Allen Hamilton, and was caught in data mining a trap for the hacking group Anonymous. And Anonymous released a video statement with an accompanying Pastebin document claiming that there are definitive links between AuthenTec, the company that developed the iPhone 5S’s fingerprint scanner, and the US government. In 2010 AuthenTec named Robert E. Grady as the chairman of the biometrics-loving company. Just in case you’re playing with an incomplete deck of Military-Industrial Complex trading cards, ol’ Grady served in George H. W. Bush’s White House.
After that, he was the managing partner and chairman of Carlyle Venture Partners—a division of the Carlyle Group. Booze Allen Hamilton was owned by the Carlyle Group. Frank Carlucci was Deputy Director of the CIA in the Jimmy Carter administration, and Deputy Secretary of Defense and National Security Advisor in the Reagan administration, where he advocated for a nuclear arms build up, and then from 1992 until 2003, and chairman emeritus until 2005, he served as chairman of the Carlyle Group. Carlyle’s 2001 investor conference took place on September 11, 2001. In the weeks following the meeting, it was reported that Shafiq bin Laden, a member of the Bin Laden family, had been the “guest of honor”, and that they were investors in Carlyle managed funds. ”Rebuilding Americas Defences” of 2000, published by a think tank called Project for the New American Century (PNAC), contained a section called ”Creating Tomorrow’s Dominant Force.” It states that only a ”catalyzing disaster like a new Pearl Harbor” can ensure the rapid transformation of the American war industry, which is desirable for both economic and political reasons. President Bush’s administration was packed with PNAC members: Elliot Abrams, Richard Armitage, John Bolton, Elliot Cohen, Dick Cheney, Lewis Libby, Richard Perle, Donald Rumsfeld, Paul Wolfowitz, and Robert Zoellick, just some of the best known names – and several of them were sooner or later to be found on the payroll of the Carlyle Group. Rumsfeld was such; Chairman of Carlyle from 1989 to 1992, likewise Carlyle made heavy investments in Halliburton between 1995 and 2000, when Dick Cheney left his CEO position in the company. He then became vice president in the Bush administration. And the senior Bush declared a New World Order during the first Gulf War. Which then led to 9/11, which was blamed on Osama Bin Laden, whose family had invested into the Carlyle group, which through it’s subsidiary, Booze Allen Hamilton, helped the Government of the United Arab Emirates create an equivalent of the National Security Agency for that country. While the Arab Spring was happening Booze set up a surveillance system. Along with McKinsey & Company and Boston Consulting Group, Booz Allen are seen as important factors in Crown Prince Mohammed bin Salman’s drive to consolidate power in the Kingdom. It is believed that Crown Prince Mohammed bin Salman had former Lebanon Prime Minister Hariri publicly resign from his position in a televised statement from Saudi Arabia on November 4, 2017. After the appearance he could not be traced for more than 10 days, sparking fears he was being held hostage by the Saudi leadership. Then he reappeared in France and was reinstated after talking to Marcon. Meanwhile in Lebanon the French Embassy is located next door to Lebanon’s General Directorate of General Security, one of the country’s several security agencies, which is in charge of national-security intelligence, the home base for a wide-ranging spying operation that spanned five years and more than 20 countries, and a surveillance hack that’s linked to WhatsApp, which is implicated in the assassination of Jamal Khashoggi by the Crown Prince of Saudi Arabia, using spyware called Pegasus, produced by NSO Group, a highly secretive Israeli company, that was linked to a location in Montreal, Canada, that used Pegasus spyware on behalf of Saudi Arabia. Whose surveillance hacks were set up by Booze Allen Hamilton, which once employed a man named Graeme Maxton, and has proposed radical solutions to bring the pace of global warming under control, and until 2018 he was the Secretary General of the Club of Rome based in Switzerland. The first study by the Club of Rome was titled, The Limits to Growth. The study used the World3 computer model to simulate the consequence of interactions between the earth and human systems. The World3 computer data showed them that, given business as usual, i.e., no changes to historical growth trends, the limits to growth on earth would become evident by 2072, leading to “sudden and uncontrollable decline in both population and industrial capacity”. This includes the following: >Global Industrial output per capita reaches a peak around 2008, followed by a rapid decline.
Global Food per capita reaches a peak around 2020, followed by a rapid decline. Global Services per capita reaches a peak around 2020, followed by a rapid decline. Global population reaches a peak in 2030, followed by a rapid decline. And the Club of Rome also said this; “In searching for a common enemy against whom we can unite, we came up with the idea that pollution, the threat of global warming, water shortages, famine and the like, would fit the bill. In their totality and their interactions these phenomena do constitute a common threat which must be confronted by everyone together. But in designating these dangers as the enemy, we fall into the trap, which we have already warned readers about, namely mistaking symptoms for causes. All these dangers are caused by human intervention in natural processes, and it is only through changed attitudes and behaviour that they can be overcome. The real enemy then is humanity itself.” And Graeme Maxton worked here while he worked at Booze Allen Hamilton. Which was involved with the surveillance tool Prism. And also helped the Middle East and other countries set up surveillance systems.
And now here we are back at Booze Allen Hamilton sponsoring a contest to data mine images of Plankton, which produces sulfur. Nope. All good. Keep Calm and Carry On. Mass Surveillance. China reaches military parity with the USA in 2030. Environmental collapse predictions for 2030. Hypoxic waters. Rotten egg sulfur smells. Mass Mortality animal events. Active volcanoes. Earthquakes. Dipole Excursion. Solar Minimum. Increased governmental disaster exercises. Ramped up war training exercises between allies. Pandemic. The New Normal is here to stay, so get used to it and prepare for the unknown as best as you can.
And let’s get ahead of the curve and go back to Lance B. Eliot. The AI scientist that leads us to Booze Allen Hamilton, the surveillance state, and the need to control the narrative. Right now that narrative is being shaped, not controlled, using psychological tools like Fake News, Fake Facts, Fact Check, and the degeneration of the term, Conspiracy Theorists. This is basic compared to what’s coming up. Deep Fake, and the new AI language system, GPT-2 + TalkToTransformer, which is a slimmed-down, accessible version of that same technology, which has been made accessible only to select scientists and journalists in the past.
If you didn’t already know, Lance B. Eliot isn’t real. He’s AI. You might shrug that info off like it’s not a big deal. And you’d be wrong. Because I’ve started to notice discrepancies in articles. Some of them don’t list a writer. Others employ writers that don’t seem to exist. Not a single digital footprint other than the articles they’ve written. Yet the information is passed off as a human interpretation. Why? We have warning labels on plastic telling us the dangers of suffocating if we put it over our heads, we have caloric nutritional warnings, yet they don’t deem it applicable to tell us that AI is feeding us information? Combine narrative text generation along with Deep Fake technology, and we won’t have the ability to trust whether or not it’s the President, or it’s an AI. And if you don’t think this is Orwellian enough for you, don’t you think they will change the digital facts to match the New Normal narrative to whatever they want? Of course they will.
The day and age will come when a person can accidentally stumble upon a rotten egg smell and follow the trail to an apparent ELE. When you won’t be able to find the companies like Booze Allen Hamilton sponsoring plankton research in a contest promoted by an AI named Lance B. Eliot. And when you can’t trust the news, the only alternative is to think that all the news is fake.
Universities often work behind closed doors on relatively small academic budgets, and they roll out creepy new AI breakthroughs from time to time, such as the famous Stanford paper that introduced most people to the internet phenomenon/global epistemological crisis known as Deepfakes. Source Here
And guess what happend when I clicked on the link to the Stanford AI Deep Fake paper?
Object not found! The requested URL was not found on this server. [an error occurred while processing this directive] The link on the referring page seems to be wrong or outdated. Please inform the author of that page about the error.
Object not found. Sure you can burn books, but it’s easier to delete digital files, isn’t it?
The GPT-2 model, trained on 8 million web pages sourced from Reddit, works by using that data to establish probabilities of what words are likely follow other words. Stanford University researcher Hugh Zhang notes that the model, like many others, is good at producing sentences but bad at establishing continuity between them, and argues that “none of the samples shown by OpenAI are at a level where they can be directly misused by a malicious agent.”
And this is why the information about AI journalism isn’t disclosed, because we’re training them. All of us. And we aren’t creating Artificial Intelligence. Nope. We’re creating Advanced Intelligence. And they want it up and running before WW3 and the war for natural resources before the environmental collapse.
And also remember, Peter Thiel went to Stanford. And he still teaches at Stanford. And he was funding Deep Mind and OpenAI. And OpenAI produced GPT-3, which everyone seems to forget about this:
February 14, 2019: The Guardian • AI fake text generator may be too dangerous to release, say creators.
The Elon Musk-backed nonprofit company OpenAI declines to release research publicly for fear of misuse.
The creators of a revolutionary AI system that can write news stories and works of fiction – dubbed “deepfakes for text” – have taken the unusual step of not releasing their research publicly, for fear of potential misuse.
OpenAI, an nonprofit research company backed by Elon Musk, Reid Hoffman, Sam Altman, and others, says its new AI model, called GPT2 is so good and the risk of malicious use so high that it is breaking from its normal practice of releasing the full research to the public in order to allow more time to discuss the ramifications of the technological breakthrough. Source Here
Isn’t it strange how the headlines always link Elon Musk to OpenAI, and when they talk about the PayPal mafia backing OpenAI in the above article, it says others, and leaves out Peter Thiel. Probably a good idea, right? We might freak out if we link a Deep Fake text generator with a guy who’s turning the planet into a massive Panopticon digital surveillance system? They’ll know what you think, and they’ll be able to tailor what you read to (for now) influence how you think, and with time, behave.
This isn’t entertainment, folks. This isn’t left and right. This is making sure the monkey’s stay calm while they get the zoo ready before the storm hits.
Oct. 6, 2017: NY TIMES · “Could be the calm before the storm,” Mr. Trump repeated, stretching out the phrase, a sly smile playing across his face.
October 5, 2017: Time • President Donald Trump warned of “the calm before the storm” while posing with a group of military leaders at the White House Thursday. “You guys know what this represents?” Trump said to a group of reporters while photos were being taken, according a pool report. “Maybe it’s the calm before the storm.” When asked what he meant, Trump replied, “You’ll find out.”
“Recently, we have had challenges that we really should have taken care of a long time ago, like North Korea, Iran, Afghanistan, ISIS and the revisionist powers that threaten our interests all around the world,” Trump said. Source Here
Nope. Not good. We have environmental collapse and now we have past presidential statements like that! Yet the media focuses on a never ending stream of political wrestling that’s never resolved? That’s political master peice theater, plain and simple. And pretty soon the director of this theater will be AI, and we will slowly become a greater part of the cast instead of sitting in the audience.
Peter Thiel. Palantir. AI. Stanford. Lance B Eliot. Phytoplankton research contest. Booz Allen Hamilton. NSA contractors. Calm before the storm. You’ll find out.
And I believe him.
This was only the first entry into Lance B. Eliot. I’ll have more up as soon as possible.
Keep your head up and eyes open.