Monday, September 26, 2022

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Leftist Slate Reporter: YouTube ‘Changed Search Results’ For Abortion ‘After I Asked’

by Chris Menahan, Information Liberation:

Leftist Slate reporter April Glaser said Friday on Twitter that after she wrote to Google complaining that the top search results on YouTube for abortion were anti-abortion videos she deemed “dangerous misinformation” they “changed the results.”

“Search for ‘abortion’ on YouTube last week and the top results were a horrifying mix of gore and dangerous misinformation,” Glaser wrote. “YouTube changed the results after I asked.”

Yes, Virginia, There Is a Deep State and Bob Parry Exposed It


by Gareth Porter, Consortium News:

In his efforts to uncover the Iran-Contra plot and the machinations surrounding Russia-gate, Bob Parry was in the forefront of journalists exposing the inner workings of the Deep State, recalls Ray McGovern during our Winter Fund Drive.

A year ago yesterday, it became fully clear what was behind the feverish attempt by our intelligence agencies and their mainstream media accomplices to emasculate President Donald Trump with the Russia-gate trope.

It turned out that the objective was not only to delegitimize Trump and make it impossible for him to move toward a more decent relationship with Russia.

Save Us From Freedom!

by Julian Rose, Global Research:

Freedom once meant something significant for mankind. It meant ceasing to be suppressed and imprisoned  by forces that endeavour to control one. The word ‘freedom’ conjured a sense of what it means, at least to some degree, to be master of one’s destiny. 

No longer, For many, the new freedom has almost exactly the opposite meaning. Now freedom seems to be associated with having someone or something doing one’s thinking for one; making decisions that one ‘can’t be bothered ‘or doesn’t want to make – and ultimately completely relieving one from responsibility for taking any form of action other than that which enriches one’s pocket and/or one’s narcissist fantasies.

Soros’ Hollywood Rentboy – Exposed by #BlacklistAnon! #GreatAwakening

from Neon Revolt:

I have a little confession to make, Anons.

Keep in mind, I never chose the name for myself, but… it stuck. And more importantly, it worked. Because what I’ve stumbled across, as a result of so much digging, is a deep state apparatus that is so well hidden, and so nefarious, it’s hard to comprehend.

After all, what did I always promise you?

It Is Like A Western Movie: A Showdown Is In The Making

by Paul Craig Roberts, Paul Craig Roberts:

It has taken the US military/security complex 31 years to get rid of President Reagan’s last nuclear disarmament achievement—the INF Treaty that President Reagan and Soviet President Gorbachev achieved in 1987.

The Intermediate Range Nuclear Forces Treaty was ratified by the US Senate on May 27, 1988 and became effective a few days later on June 1. Behind the scenes, I had some role in this, and as I remember what the treaty achieved was to make Europe safe from nuclear attack by Soviet short and intermediate range missiles, and to make the Soviet Union safe from US attack from short and intermediate range US nuclear missiles in Europe. By restricting nuclear weapons to ICBMs, which allowed some warning time, thus guaranteeing retaliation and non-use of nucular weapons, the INF Treaty was regarded as reducing the risk of an American first-strike on Russia and a Russian first-strike on Europe, strikes that could be delivered by low-flying cruise missiles with next to zero warning time.

What is an NPC and Why Does it Matter?


by James Corbett, The International Forecaster:

I didn’t exactly coin the term, but I’ll take credit for identifying it before it existed.

So surely you’ve heard that 2001: A Space Odyssey’s evil A.I. super-computer HAL is a thinly veiled reference to IBM, right? You know, change each letter in “HAL” to the next one in the alphabet?

Well, what do you get when you change each letter in the word “mob” to the next one in the alphabet. That’s right: NPC.

“I Do Know They Are Great People!” #NewQ #QAnon #GreatAwakening #RedOctober

from Neon Revolt:

Before we get into it, I posted this on Gab, but I wanted to share again one of the better #QConfirmations I’ve seen.

At this point, there’s no way every branch of the military isn’t aware of what’s happening with #QAnon – let alone the individuals in charge of the social media accounts.

(click READ MORE to see it)

There’s just no way someone would randomly post that if Q wasn’t true. That’d be like throwing kerosene on a bonfire, and they wouldn’t go there, just out of sheer prudence.

According to the New York Times Putin Rules America

by Paul Craig Roberts, Paul Craig Roberts:

When I first read this — — I thought it was a caricature of fake news. Then I realized it was a New York Times article, and being fairly certain that the arrogant presstitute organization was not taking the piss out of itself, as it is one of the main purveyors of fake news, I found the conclusion unavoidable that Julian E. Barnes and Matthew Rosenberg were so tightly bound inside The Matrix that they might actually believe the nonsense that they wrote.

Here is an overview of the fantasy that the two presstitutes have penned in the New York Times:

Goodbye, Netflix


by William Sullivan, American Thinker:

After about thirteen years of being a loyal customer of Netflix, the time has come for me to say goodbye.

This isn’t an easy decision for me. I have been with the company since my mid-20s, back when Blockbuster stores were still on every street corner, and well before the online streaming technology or content was available.

Given that I’m a conservative, one might be inclined to believe that my choice to leave Netflix is predicated upon the company’s most recent decision to partner with Barack and Michelle Obama’s new company, called “Higher Ground Productions,” to produce loads of new content. In a way, I guess that’s correct. But this choice by Netflix has not alone led me to this decision. Rather, this was the straw that finally broke the camel’s back – the latest in a series of indicators that the network has become little more than a propaganda arm for radical left-wing political actors.

Allow me to lay out the evidence.



from InfoWars:

“The Trump presidency, all 16 months of it, has been marked by lies, greed, ethical transgressions and criminal charges.”

First things first: Albert R. Hunt’s piece in Bloomberg this week is clearly labeled an opinion piece, but obviously one that Bloomberg felt was compelling enough to publish.First, we always get a kick of out the retrospective claims that Obama’s administration was scandal-free, and second — isn’t this the guy who won Politifact’s “Lie of the Year” honor in 2013 for his claim that “If you like your plan, you can keep it”? And then there was Fast & Furious, spying on Fox News’ James Rosen, pallets of cash to Iran … wait, let’s leave some for others.

Hunt kicks off his piece with a CNN poll that shows most Americans think Barack Obama was a better president than Donald Trump has been. It’s not policy, though, that accounts for the result; to Hunt, it all boils down to one word: integrity.

Behold, It Lives! The New American Frankenstein

by Phil Butler, New Eastern Outlook:

Most Americans do not know and could care less their leadership has sold them up the river. However, for those old-fashioned folks in the United States who are unaware Washington has set out to create a “New America” custom built for the elites, here’s a primer for understanding just how bad our situation is.

A stunning Wikipedia page begins; “New America, formerly the New America Foundation, is a non-partisan, nonprofit think tank in the United States.” And with this the organization created by Ted Halstead, Sherle Schwenninger, Michael Lind, and Walter Russell Mead back in 1999, characterizes itself by its mission statement, which is:

“Renewing America by continuing the quest to realize our nation’s highest ideals, honestly confronting the challenges caused by rapid technological and social change and seizing the opportunities those changes create.”

Skynet Now: Pentagon Deploys Terrorist-Hunting Artificial Intelligence

by Jake Anderson, Activist Post:

Someday, future sentient artificial intelligence (AI) systems may reflect on their early indentured servitude for the human military-industrial complex with little to no nostalgia. But we’ll worry about that when the day comes. For now, let’s continue writing algorithms that conscript machine intelligence into terrorist bombings and let the chips fall where they may. The most recent disclosure comes directly from the Pentagon, where after only 8 months of development a small team of intel analysts has effectively deployed an AI into the battlefield in control of weaponized systems to hunt for terrorists.

The military minds in charge of this new form of warfare feel it is nothing less than the future of armed conflicts. For example, Air Force Lt. Gen. John N.T. “Jack” Shanahan, director for defense intelligence for warfighter support and the Pentagon general in charge of the terrorist-hunting AI, says Project Maven – the name given to the flagship weaponized AI system at the Defense Department — is “prototype warfare” but also a glimpse of the future.

“What we’re setting the stage for is a future of human-machine teaming. [However], this is not machines taking over,” Shanahan added. “This is not a technological solution to a technological problem. It’s an operational solution to an operational problem.”

Originally called the Algorithmic Warfare Cross-Functional Team when it was approved for funding back in April, Project Maven has moved quickly, and many in the Pentagon think we will see more AI projects in the pipeline as the United States continues to compete with Russia and China for AI dominance.

Shanahan’s team used thousands of hours of archived Middle East drone bombing footage to “train” the AI to effectively differentiate between humans and inanimate objects and, on a more granular level, to differentiate between types of objects. The AI was paired with Minotaur, a Navy and Marine Corps “correlation and georegistration application.”

“Once you deploy it to a real location, it’s flying against a different environment than it was trained on,” Shanahan said. “Still works of course … but it’s just different enough in this location, say that there’s more scrub brush or there’s fewer buildings or there’s animals running around that we hadn’t seen in certain videos. That is why it’s so important in the first five days of a real-world deployment to optimize or refine the algorithm.”

Right now, Project Maven is intended to give military analysts more of a situational awareness on the battlefield. But could we one day see autonomous drones controlled by even more powerful AI algorithms given total control on the battlefield?

Shanahan wants to embed AI into military systems and operations across the board, and he’s not alone in calling for near ubiquity of AI adoption. A recent report from the Harvard Belfer Center for Science and International Affairs makes the case that we will see a dramatic overhaul of militaries across the world as they implement AI technology in the next five years.

“We argue that the use of robotic and autonomous systems in both warfare and the commercial sector is poised to increase dramatically,” the report states. “Initially, technological progress will deliver the greatest advantages to large, well-funded and technologically sophisticated militaries, just as Unmanned Aerial Vehicles and Unmanned Ground Vehicles did in U.S. military operations in Iraq and Afghanistan.

As prices fall, states with budget-constrained and less technologically advanced militaries will adopt the technology, as will non-state actors.

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The Real Bleep-Hole Moment—–$40 Trillion And Counting

by David Stockman, David Stockman’s Contra Corner:

You can call it the bleep-hole moment (per the Fox “family channel”) or the shit-hole moment (per the rest of the MSM), but what you can’t call yesterday’s contretemps in the White House is evidence that sentient adults are in charge of the Imperial City.

And, no, we are not getting down on the Donald for using a swear word—nor are we trying to out race-card Don Lemon as to the obvious implications of the President’s crude phraseology.

Indeed, even prior to yesterday’s outburst it was hard to deny that Trump is a semi-literate bully and that he never got (read) the memo on racial comity and respect. But we actually happen to think that the Donald’s potty-talk eruption resulted not from some dark place in his mind and heart, but from sheer frustration as the intractability of the immigration issue closes in on him.

What we mean is that neither party has its cards face up on the matter—-which goes way beyond the potential deportation of the 800,000 dreamers, chain migration, the diversity lottery and the Wall. Underneath it all there is a brutal, raging political struggle for dominance which is almost existential in import.

To wit, the sundry Dem caucuses want more immigrants, and the browner the better, because it’s their only route to electoral dominance. By contrast, the hard core GOP immigrant-thumpers are desperately attempting to hang-on to Red State rule in the face of the forbidding demographic math of the white population—and the fact that not many Norwegians want to come to America anyway.

It would not be too far-fetched to say that the partisan battle for office is morphing into a racial-ethnic war.

Fox host Laura Ingraham is both exceedingly articulate and thoughtful on many issues, but on immigration she is a screecher. So her diatribe with respect to Thursday’s doings goes right to the heart of the matter:

“Number two, Democrats favor granting citizenship to illegal aliens because they believe it is the absolute key to achieving a super-majority, just like the one they currently have in California. They want that in every key battleground state. So, there’s so much more at stake than just the future of the DREAMers. This deal could decide the fate of the country.

We happen to agree with her, but for a vastly different reason. To wit, the immigration issue threatens to destroy the Republican party—either because it terminally rips it apart or because the nativist immigrant-thumpers completely prevail and thereby marginalize the GOP electorally.

Yes, there is nothing in the constitution or American history that requires a politically healthy GOP or  even a Republican party at all. Unfortunately, however, there is nothing in the constitution which requires fiscal rectitude, either. Yet that’s exactly where Laura Ingraham’s “fate of the country” comes in.

Washington is drifting rapidly into a hellacious fiscal calamity and the only thin reed of resistance is the once and former party of fiscal rectitude. If it does not get its act together and screw-up some courage and focus on the matter soon, the nation’s budgetary doomsday machine will become unstoppable—-with the national debt soaring to $40 trillion and 140% of GDP within the next decade.

Moreover, this isn’t just a risk; it’s a near certainty based on the built-in budgetary math and the sheer auto-pilot nature of its driving forces. For instance, the income entitlements including social security, disability, SSI, food stamps, family assistance, the earned income credit, government pensions and veterans benefits cost $1.5 trillion in the year just ended, but in the absence of Congressional action will automatically soar to $2.4 trillion by 2027.

The tab for the giant open-ended medical entitlements—Medicare, Medicaid, CHIP and ObamaCare—is racing upwards even more rapidly: at nearly 7% per year. Consequently, last year’s spending of$1.2 trillion on these programs will become $2.2 trillion by the end of the current 10-year budget window.

These big numbers are bad enough in the telling, but their place in the structure of the Federal budget is what screams out calamity ahead. To wit, last year outlays for the combined income and medical entitlements amounted to just under 14% of GDP, but if Congress were to go AWOL for the next tens years, they would automatically absorb 18% of GDP by 2027.

And that’s where the rubber would meet the road. Owing to the Christmas Eve tax cut special, the revenue base will drop by $280 billion in the year just ahead (FY 2019), bringing Uncle Sam’s take down to just $3.4 trillion or 16.5% of GDP—-the lowest level since the eve of the Korean War.

In other words, what is now in place owing to the folly of the GOP tax cut and 30 years of bipartisan fiscal can-kicking, is a revenue base that is not even large enough to pay for the big entitlements.

And, of course, that omits entirely the roughly $2.7 trillion that current GOP policy would require by 2027 for national security, roads, education, agriculture, space, small business, medical research, rivers and harbors, courts and prisons, the Census Bureau, the Washington monument  etc.—and what will be nearly $1.0 trillion per year of interest on the national debt by then.

To be sure, they have this sheer absurdity—-$2.7 trillion of non-entitlement expense and zero revenue to pay for it—papered over with a motely array of  budgetary gimmicks. These cause projected revenue to rise back to just over 18% of GDP by 2027, but this is overwhelmingly fake revenue. Even then, it’s still is not enough to pay for the vast reaches of government outside of the entitlements summarized above.

For instance, the individual tax cuts, which will allegedly go to 90% of taxpayers and which are being ballyhooed by the White House as showing up in revised withholding tables by February, will cost $189 billion in the first full year (FY 2019).

But thanks to the disappearing ink in which they were written (i.e. the 2025 “sunset”) that number swings to a $32 billion tax increase by 2027. Of course, that’s never going to happen: The GOP tax-writers have already baldly confessed that the sunset is just a gimmick to avoid the fiscal discipline required by the budget rules. The only thing they haven’t confessed is on the eve of which up-coming election will they vote to cancel the sunset, thereby saving 140 million individual tax filers from what would otherwise be upwards of a quarter-trillion per year tax increase.

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When Robots Rule the Markets


by James Corbett, The International Forecaster:

There are many questions surrounding the development of this technology that poses an existential threat to humanity, but most people are too busy worrying about whether computers can have a soul to address these concerns.

The Corbett Report community held a vigorous discussion on the future of Artificial Intelligence this past summer, and the results are in: No one understands the question (myself included). Now, to be fair, I didn’t do a very good of framing the debate so, as is typical with this particular topic, it quickly became the standard AI argument about whether or not toasters have souls (“I toast therefore I am!”). I exaggerate only slightly.

I understand why the conversation inevitably steers in this direction. The nature of consciousness and the question of the soul are topics that have fascinated us as a species for thousands of years, and the advent of robotic consciousness threatens to upend the deeply-held beliefs of billions of people.

Perhaps inevitably, the prophets of the technological singularity have brought this issue directly to the fore by creating their own religion with “a Godhead based on Artificial Intelligence (AI) developed through computer hardware and software”. It’s called “Way of the Future” and was founded (with a large degree of MSM fanfare from the usual suspects) by…wait for it…an ex-Google engineer. That’s right, after developing our modern-day, real-life Big Brother‘s self-driving car, this Silicon Valley dropout has started a church for people to worship our coming robot overlords. You can’t make this stuff up.

But, generally speaking, this is not the kind of thing that people researching in the field think about. So what do they think about? Oh, things like “What will the financial world be like when Skynet runs the markets?”

Think that sounds crazy? Well take that up with our good friends over at the shadowy Bank for International Settlements’ even shadowier little brother, the Financial Stability Board. They just published a white paper on that very subject.

Well, OK, they don’t quite phrase it like that. Their paper has the less snappy title “Artificial intelligence and machine learning in financial services: Market developments and financial stability implications.” But come on. These are the minions of the central banksters. It’s their job to make even the most incredible things sound eye-wateringly boring.

So what do the eggheaded lackeys of the bankster oligarchs conclude? Why, that AI is a swell thing, of course! It’ll make everything more efficient and (even if there’s an itsy bitsy teenie weenie risk of a hiccup or two) everyone will be better off for it.

In fact, they go out of their way to misinterpret their own scenarios in such a way as to make the inherent problems with the technology seem inconsequential. For example, they note that “AI and machine learning may enable certain market participants to collect and analyze information on a greater scale” but then nonsensically conclude that these disparities in ability “could reduce information asymmetries and thus contribute to the efficiency and stability of markets.”

It’s worth reading that premise and conclusion again just to see how completely they contradict each other. “Certain market participants” who have access to the AI will be able to collect and analyze information more quickly than their competitors…but that will reduce information asymmetry? Well, maybe after they’ve communicated that information to the rest of the market in the form of a buy or sell order, but it’s a bit late for everyone else then, isn’t it?

Contrast that line of thinking with Vladimir Putin’s recent observation that “the one who becomes the leader in this sphere [AI] will be the ruler of the world.” The disparity between the AI haves and have-nots won’t reduce information asymmetry, it will magnify it by orders of magnitude. In essence, the first market participant to deploy effective AI will be the ruler of the market.

To be fair, the FSB report does pay lip service to some of the important risks surrounding AI technology, like its lack of auditability or the issue of data bias, but these problems are inevitably waved away by the study’s authors, either by calling for vague measures like “testing and training” or calling on government regulators to oversee these new developments.

The most infuriating part of this whole meaningless academic exercise is that we don’t have to theorize about the potential effects of AI in some imaginary far-off future scenario. We already have real-world examples of exactly how (admittedly crude) AI technologies can wreak havoc on world markets.

Remember the Flash Crash of May 6, 2010, when the US stock market crashed by $862 billion in a breathtaking 36 minute window and then magically recovered just as quickly? I do. And for those who weren’t keeping track of that story, it culminated in the 2015 slaying of the sacrificial lamb, Navinder Singh Sarao, a British day trader who supposedly caused the entire meltdown from his parent’s house in Hounslow. That was when Sarao was arrested for “spoofing” the markets by placing a flood of buy orders that he never intended to commit and then canceling his order and cashing in at the now-elevated price.

As I reported at the time, the charge was fraudulent from the outset. Not only do untold scores of traders regularly “spoof” the market in this way, but Sarao himself had used those very same techniques 250 separate times before the Flash Crash. So why did it suddenly cause mayhem on that particular day? The answer, of course, is that it was the High-Frequency Trading (HFT) algorithms that now account for the majority of trading that were the real culprit:

“The unspoken and uncomfortable truth is that Sarao is only playing on a problem enabled by the high speed trading algorithms that now account for as much as 60 percent of the trading volume in the US futures markets. These computer-generated trades can function orders of magnitude faster than any human, reacting to changes in market direction and implementing buy and sell orders on the basis of that knowledge thousands of times per second. As the flash crash displayed, once the algorithms get tricked into selling into a plunge, the entire market can be plunged into chaos in a matter of minutes.”

Members of the “Way of the Future” church will no doubt protest that the HFT algos operating on the markets in 2010 were so primitive compared to the coming sentient AI Godhead that the comparison is absurd. But they would say that, wouldn’t they?

However, as that sage philosopher Donald Rumsfeld reminds us, there are things we know that we don’t know and things that we don’t know that we don’t know, and it’s the latter kind that are the real problem. And when it comes to AI, it is a very good question as to why anyone who had made a significant advance toward creating a truly artificial intelligence would share that market-monopolizing information with anyone else. Despite the hype about “Open AI” from the usual hypesters, is anyone under the delusion that the evil geniuses in the bowels of the Pentagon (let alone the agents of FANG) are really going to keep the public up to date on their latest adventures in quantum computing or neural network development or natural language processing or nonlinear computation?

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Why are smartphone chips suddenly including an AI processor?


by Robert Triggs, Android Authority:

If virtual assistants have been the breakthrough technology in this year’s smartphone software, then the AI processor is surely the equivalent on the hardware side.

Apple has taken to calling its latest SoC the A11 Bionic on account of its new AI “Neural Engine”. Huawei’s latest Kirin 970 boasts a dedicated Neural Processing Unit (NPU) and is billing its upcoming Mate 10 as a “real AI phone“. Samsung’s next Exynos SoC is rumored to feature a dedicated AI chip too.

Qualcomm has actually been ahead of the curve since opening up the Hexagon DSP (digital signal processor) inside its Snapdragon flagships to heterogeneous compute and neural networking SDKs a couple of generations ago. Intel, Nvidia, and others are all working on their own artificial intelligence processing products too. The race is well and truly on.

There are some good reasons for including these additional processors inside today’s smartphone SoCs. Demand for real-time voice processing and image recognition is growing fast. However, as usual, there’s a lot of marketing nonsense being thrown around, which we’ll have to decipher.

AI brain chips, really?

Companies would love us to believe that they’ve developed a chip smart enough to think on its own or one that can imitate the human brain, but even today’s cutting edge lab projects aren’t that close. In a commercial smartphone, the idea is simply fanciful. The reality is a little more boring. These new processor designs are simply making software tasks such as machine learning more efficient.

These new processor designs are simply making software tasks such as machine learning more efficient.

There’s an important difference between artificial intelligence and machine learning that’s worth distinguishing. AI is a very broad concept used to describe machines that can “think like humans” or that have some form of artificial brain with capabilities that closely resemble our own.

Machine learning is not unrelated, but only encapsulates computer programs that are designed to process data and make decisions based on the results, and even learn from results to inform future decisions.

Neural networks are computer systems designed to help machine learning applications sort through data, enabling computers to classify data in ways similar to humans. This includes processes like picking out landmarks in a picture or identifying the make and color of a car. Neural networks and machine learning are smart, but they’re definitely not sentient intelligence.

When it comes to talk of AI, marketing departments are attaching a more common parlance to a new area of technology that makes it harder to explain. It’s equally as much an effort to differentiate themselves from their competitors too. Either way, what all of these companies have in common is that they’re simply implementing a new component into their SoCs that improves the performance and efficiency of tasks that we now associate with smart or AI assistants. These improvements mainly concern voice and image recognition, but there are other use cases, too.

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