The Amazon may contain thousands of undiscovered ancient structures

There are probably more than 10,000 undiscovered pre-Columbian archaeological sites hidden in the Amazon, researchers have concluded after surveying a fraction of the sprawling rainforest.

The study adds to growing evidence suggesting that the region isn’t a pristine tropical forest, but has been significantly altered by Indigenous societies that have inhabited it for more than 12,000 years.

Luiz Eduardo Oliveira e Cruz de Aragão at the National Institute for Space Research in Brazil and his colleagues surveyed 5315 square kilometres of the Amazon using lidar, a technology that uses reflected laser light to create a 3D representation of a landscape.

By beaming pulses of light into the rainforest, usually from planes or drones, lidar records slight variations in topography and has uncovered numerous archaeological sites in recent years.

The team discovered 24 previously unknown earthworks in the areas it surveyed, which are thought to be the remnants of civilisations that lived between 1500 and 500 years ago.

The discoveries include a fortified village in the southern Amazon, a region known to have been densely populated due to the high concentration of earthworks that were connected by ancient roads.

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How Peter Thiel-Linked Tech is Fueling the Ukraine War

“A reluctance to grapple with the often grim reality of an ongoing geopolitical struggle for power poses its own danger. Our adversaries will not pause to indulge in theatrical debates about the merits of developing technologies with critical military and national security applications. They will proceed.

This is an arms race of a different kind, and it has begun.”– Alex Karp, Palantir CEO

These were the recent words of Palantir CEO Alex Karp, proclaiming in the New York Times that the world has entered a new era of warfare with the rapid acceleration of Artificial Intelligence (AI) technologies. Playing on the recent release of the “Oppenheimer” movie by comparing the dawn of AI with the development of the atomic bomb, Karp argued that the growing role of AI in weapons systems has become “our Oppenheimer moment.”

In his op-ed, Karp states bluntly that this era is a new kind of arms race where inaction equals defeat, positing that a “more intimate collaboration between the state and the technology sector, and a closer alignment of vision between the two” is required if the West is to maintain a long-term edge over its adversaries. 

Karp’s words are timely within the context of the ongoing conflict in Ukraine, which – from the beginning – has been a tech-fueled war, as well as a catalyst for further blurring the lines between nation states and the companies that own and operate such technologies. From Microsoft “literally mov[ing] the government and much of the country of Ukraine from on-premises servers to [its] cloud,” to Boston Dynamics’ robot dog, Spot, sweeping mines on the battlefield, as I recently reported for Unlimited Hangout, “much of Ukraine’s war effort, save for the actual dying, has been usurped by the private sector.”

But, as Karp’s words suggest, the longer the conflict goes on, the more technologically advanced the weapons, and weapons operating systems and software behind them, will become. Indeed, the US Military is testing Large-Language Models’ (LLMs) capacity to perform military tasks and exercises, including completing once days-long information requests in minutes as well as  extensive crisis response planning. Ukrainian Minister of Digital Transformation Mykhailo Fedorov, who commands Ukraine’s “Army of Drones” program in a made-for-film collaboration with Star Wars actor Mark Hamill, even recently proclaimed that the proliferation of fully autonomous, lethal drones are “a logical and inevitable next step” in warfare and weapons development. 

Indeed, AI tech and other major technologies are coming to the forefront of the war’s front lines. For instance, “kamikaze” naval drones equipped with explosives dealt heavy damage to the Crimean bridge in July, with the Washington Post also reporting that over 200 Ukrainian companies involved in drone production are working with Ukrainian military units to “tweak and augment drones to improve their ability to kill and spy on the enemy.”

As the conflict continues, corporations and controversial defense contractors, like data firm and effective CIA-front Palantir, defense contractor Anduril, and facial recognition service Clearview AI are taking advantage of the conflict to develop controversial AI-driven weapons systems and facial recognition technologies, perhaps transforming both warfare and AI forever.  

Critically, these organizations all receive support from PayPal co-founder and early Facebook investor Peter Thiel, a prominent, yet controversial venture capitalist intimately involved in the start-up and expansion of a bevy of today’s prominent tech corporations and adjacent organizations whose work, often co-developed or otherwise advanced by governments and the intelligence community, includes bolstering the State’s mass surveillance and data-collection and -synthesis capacities despite his professed libertarian political beliefs.

As such, these Thiel-backed groups’ involvement in war serves to develop not only problematic and unpredictable weapons technologies and systems, but also apparently to advance and further interconnect a larger surveillance apparatus formed by Thiel and his elite allies’ collective efforts across the public and private sectors, which arguably amount to the entrenchment of a growing technocratic panopticon aimed at capturing public and private life. Within the context of Thiel’s growing domination over large swaths of the tech industry, apparent efforts to influence, bypass or otherwise undermine modern policymaking processes, and anti-democratic sentiments, Thiel-linked organizations’ activities in Ukraine can only signal a willingness to shape the course of current events and the affairs of sovereign nations alike. It also heralds the unsettling possibility that this tech, currently being honed in Ukraine’s battlefields, will later be implemented domestically.

In other words, a high-stakes conflict, where victory comes before ethical considerations, facilitates the perfect opportunity for Silicon Valley and the larger US military industrial complex to publicly deepen their relationship and strive towards shared goals in wartime and beyond.

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Study Finds Out Those Barbaric Vikings Had…Stained Glass Windows?!

It is no secret that the portrayal of Vikings in popular culture has done more than its fair share to distort our ideas of what and who the Vikings were. This distortion extends across various domains, including clothing, language, culinary choices and even habitation, to name but a few. Now, another myth-busting study, dating fragments of windows from Scandinavia, shows us that  Viking Age  windows were created using  stained glass  as the 9th century, contrary to popular belief that stained-glass windows only emerged during the construction of medieval churches and castles in Denmark.

In a new study published in the  Danish Journal of Archaeology , a conservation expert from the National Museum of Denmark and their research team arrived at this conclusion after conducting a thorough re-examination of 61 glass fragments recovered from six different Viking-age sites. This means that  Norse dignitaries likely sat in rooms lit up by Viking Age windows with colored  glass, and adds another nail in the coffin of a “savage” or “ barbaric” Viking who swings his sword around.

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Amazon’s Alexa has been claiming the 2020 election was stolen

Amid concerns the rise of artificial intelligence will supercharge the spread of misinformation comes a wild fabrication from a more prosaic source: Amazon’s Alexa, which declared that the 2020 presidential election was stolen.

Asked about fraud in the race — in which President Biden defeated former president Donald Trump with 306 electoral college votes — the popular voice assistant said it was “stolen by a massive amount of election fraud,” citing Rumble, a video-streaming service favored by conservatives.

The 2020 races were “notorious for many incidents of irregularities and indications pointing to electoral fraud taking place in major metro centers,” according to Alexa, referencing Substack, a subscription newsletter service. Alexa contended that Trump won Pennsylvania, citing “an Alexa answers contributor.”

Multiple investigations into the 2020 election have revealed no evidence of fraud, and Trump faces federal criminal charges connected to his efforts to overturn the election. Yet Alexa disseminates misinformation about the race, even as parent company Amazon promotes the tool as a reliable election news source to more than 70 million estimated users.

Amazon declined to explain why its voice assistant draws 2020 election answers from unvetted sources.

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Canada Plots to Increase Online Regulation, Target Search and Social Media Algorithms

Canada is taking steps towards potentially intrusive regulation of artificial intelligence as it pertains to its application in search and social media services. The government’s intentions have been revealed, which includes AI application way beyond the realm of generative AI similar to OpenAI’s ChatGPT. Industry giants such as Google and Facebook, who utilize AI for search results, translation provisions, and customer taste recognition respectively, are among the contenders lined up in the regulatory intent with the pro-censorship government intent on having a say on how these algorithms work.

The information comes by way of Minister François-Philippe Champagne of Innovation, Science and Economic Development Canada (ISED) in a letter submitted to the Industry committee analyzing Bill C-27—the privacy reform and AI regulation bill. Precise amendments remain shielded from scrutiny, however, as the governmental body keeps the proposed changes under wraps.

We obtained a copy of the original bill for you here.

The existing framework in Bill C-27 leaves the identification of AI mechanisms that can be classified into the “high-impact” category to future regulatory proceedings.

Bill C-27, by treating search and social media results as “high-impact” systems, is likely to raise eyebrows as the government’s push towards regulating technology has so far been assertive of greater control over content and therefore speech.

Non-compliance, under this proposal, may invite penalties proportional to 3% of gross global revenues.

The legislation veers into controversial territory by infusing the regulation of content moderation and discoverability prioritization into the matrix, in unexpected ways. It attempts to parallel these issues to bias accusation during recruitment or when used by law enforcement, invoking substantial surprise. Consequently, Canada’s rules, although they claim to align more closely with the EU, seem to set the country apart, leaning more towards censorship and less towards free speech.

The news comes on the back of Canada’s more recent online regulations that have raised alarm.

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The Great AI Invasion: Given Enough Time, Artificial Intelligence Would Take Over Every Area Of Our Lives

Artificial intelligence is changing our world at a pace that is absolutely breathtaking.  If you would have asked me a decade ago if I would live to see artificial intelligence create a world class piece of art or a full-length feature film, I would have said no way.  But now those are simple tasks for artificial intelligence to accomplish.  So what is going to happen once AI becomes millions of times smarter and millions of times more powerful than it is today?  Given enough time, AI would take over every area of our lives.  Our world is definitely crazy right now, but fifty years from now it would resemble something out of an extremely bizarre science fiction novel if AI is allowed to continue to develop at an exponential rate.

Unfortunately, only a very small minority of the population is even concerned about the potential dangers posed by AI, and that is a problem.

Needless to say, the growth of AI has enormous implications for our economy.

AI can already perform most simple tasks much better and much faster than human workers can, and multiple studies have concluded that millions of jobs are at risk of being lost.  The following comes from Fox News

For example, in March 2023, technology firm OpenAI released a report that found at least 80% of the U.S. labor force could have at least 10% of their work-related tasks affected by the introduction of GPT, while another 19% of employees may see at least 50% of these work-related tasks impacted. While GPT influence impacts all wage levels, the higher-income jobs potentially face the greatest exposure, concludes OpenAI.

Also in March 2023, researchers at investment banker Goldman Sachs, after collecting data on occupationally-oriented tasks in Europe and the U.S., found that roughly two-thirds of current occupations are exposed to varying degrees of generative AI automation (such as found in ChatGPT), and that AI could substitute for nearly one-fourth of current work performed.

In July 2023, the McKinsey Global Institute issued a report estimating that without generative AI, automation could take over tasks accounting for 21.5% of the hours worked in the U,S. economy by 2030; but with generative AI, that share increased to 29.5%.

So what would happen to all of the workers that would no longer be needed once AI starts taking over most of our jobs?

I think that is a question that all of us should be asking.

Artificial intelligence also threatens to transform our personal relationships.

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Artificial Intelligence Goes to War

Uh… gulp… you thought it was bad when that experienced pilot ejected from one of the Air Force’s hottest “new” planes, the F-35 combat fighter, near — no, not China or somewhere in the Middle East — but Charleston, South Carolina. The plane then flew on its own for another 60 miles before crashing into an empty field. And that was without an enemy in sight.

Perhaps we should just be happy that an F-35 ever even made it into the air, given its endless problems in these years. After all, as Dan Grazier of the Center for Defense Information wrote, it’s now “the largest and most expensive weapons program in history.” Yet when it comes to something as significant as “mission availability,” according to the Congressional Budget Office, only about 26% of all F-35s, each of which now costs an estimated $80 million to produce and $44,000 an hour to fly, are available at any moment. Not exactly thrilling, all in all.

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500,000x Smaller Than a Human Hair: Game-Changing Electronic Sensor the Size of a Single Molecule

Australian researchers have developed a molecular-sized, more efficient version of a widely used electronic sensor, in a breakthrough that could bring widespread benefits.

Piezoresistors are commonly used to detect vibrations in electronics and automobiles, such as in smartphones for counting steps, and for airbag deployment in cars. They are also used in medical devices such as implantable pressure sensors, as well as in aviation and space travel.

Breakthrough in Piezoresistor Technology

In a nationwide initiative, researchers led by Dr. Nadim Darwish from Curtin University, Professor Jeffrey Reimers from the University of Technology Sydney, Associate Professor Daniel Kosov from James Cook University, and Dr. Thomas Fallon from the University of Newcastle, have developed a piezoresistor that is about 500,000 times smaller than the width of a human hair.

Dr. Darwish said they had developed a more sensitive, miniaturized type of this key electronic component, which transforms force or pressure to an electrical signal and is used in many everyday applications.

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GAO Report Shows the Government Uses Face Recognition with No Accountability, Transparency, or Training

Federal agents are using face recognition software without training, policies, or oversight, according to the Government Accountability Office (GAO).

The government watchdog issued yet another report this month about the dangerously inadequate and nonexistent rules for how federal agencies use face recognition, underlining what we’ve already known: the government cannot be trusted with this flawed and dangerous technology.

The GAO review covered seven agencies within the Department of Homeland Security (DHS) and Department of Justice (DOJ), which together account for more than 80 percent of all federal officers and a majority of face recognition searches conducted by federal agents.

Across each of the agencies, GAO found that most law enforcement officers using face recognition have no training before being given access to the powerful surveillance tool. No federal laws or regulations mandate specific face recognition training for DHS or DOJ employees, and Homeland Security Investigations (HSI) and Marshals Service were the only agencies reviewed to now require training specific to face recognition. Though each agency has their own general policies on handling personally identifiable information (PII), like facial images used for face recognition, none of the seven agencies included in the GAO review fully complied with them.

Thousands of face recognition searches have been conducted by the federal agents without training or policies. In the period GAO studied, at least 63,000 searches had happened, but this number is a known undercount. A complete count of face recognition use is not possible. The number of federal agents with access to face recognition, the number of searches conducted, and the reasons for the searches does not exist, because some systems used by the Federal Bureau of Investigation (FBI) and Customs and Border Protection (CBP) don’t track these numbers.

Our faces are unique and mostly permanent — people don’t usually just get a new one— and face recognition technology, particularly when used by law enforcement and government, puts into jeopardy many of our important rights. Privacy, free expression, information security, and social justice are all at risk. The technology facilitates covert mass surveillance of the places we frequent and the people we know. It can be used to make judgments about how we feel and behave. Mass adoption of face recognition means being able to track people automatically as they go about their day visiting doctors, lawyers, houses of worship, as well as friends and family. It also means that law enforcement could, for example, fly a drone over a protest against police violence and walk away with a list of everyone in attendance. Either instance would create a chilling effect wherein people would be hesitant to attend protests or visit certain friends or romantic partners knowing there would be a permanent record of it.

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The “Air Vaccine” Is Here, No Needle Necessary To Get mRNA Technology Into Humans

The “air vaccine” is here and it’s able to deliver mRNA technology into the human body without a needle injection. The mRNA can be delivered right into the lungs and has been used to “vaccinate” mice intranasally.

A team from Yale University has developed a new airborne method for delivering mRNA right to your lungs. The method has also been used to vaccinate mice intranasally, “opening the door for human testing in the near future.”

While scientists may celebrate this invention as a convenient method to vaccinate large populations, skeptics have started to raise obvious concerns about the potential misuse of an airborne vaccine, including the possibility of covert bioenhancements a concept that has previously been suggested in academic literature.

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