Is Big Tech a Big Money loser?

Donald Trump responds to Facebook’s decision to keep him banned, calling it a, “total embarrassment.” Notice he has not yet created clones of twitter, facebook, and other Big Tech giants. The reason may be, even he could not afford to operate such a losing business model, without a huge inflow of pilfered cash directed from all of Cabal’s corruption. It would bankrupt him in short order. Think of Hotwheels, who founded 8Chan, only to end up losing it because he could not afford to run it. All that traffic, and he could not advertise, he could not monetize, he could not get donations – all he ended up doing was paying massive amounts of cash for seemingly never-ending bandwidth.

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The idea is that the Cabal uses social media to spy on everyone while simultaneously propagandizing everything, controlling all information. Consider that covid has been treated by MSM, Big Tech, and globalists the same as Donald Trump was and is treated—with lies, censorship, and a stupid narrative—and you can see a pattern of information distortion, fabrication, and control. Who or what is the Cabal? Look at who is doing it and who is pulling the strings. Cabal will look different from different angles and locations like the proverbial elephant, but you can see it is there, an elephant that is always in the room. DC is a captured government as are all its agencies. Whether Big Tech is a money loser or not doesn’t change this picture because money at the top flows like a river and top people can direct it wherever they want. It’s all free money for them.

AZ audit apparently surveiled for disruptive purpose

An Intelligence surveillance aircraft has been circling the AZ audit location and collecting information on American citizens working for election integrity. Oddly enough a lot of times you can search a tail number of something flying over you low and slow and come up with a twitter hashtag with somebody outing a plane as running surveillance on them or their areas. My guess is Cabal is identifying everyone who goes in there, assigning their local coverage teams to put them all in fishbowls, and looking for anybody they can turn screws on and get them to corrupt the process.

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FLASHBACK NOV 5: Dr. Steve Pieczenik on WATERMARK sting operation

Trump arranged a sting operation hiding trackable QFS blockchain encryption code onto ballots. “This is really a sting operation, contrary to what everyone else said,” Pieczenik explained. “We watermarked every ballot with QFS blockchain encryption code. In other words, we know pretty well where every ballot is, where it went and who has it, so this is not a stolen election.”

Dr. Steve Pieczenik Reveals Ballots Were Watermarked With QFS Encryption – US Election 2020

2021 Harley-Davidson Pan America first ride review

Harley-Davidson has introduced an adventure motorcycle that will redefine the approachability of large adventure bikes.

I’ll spend the next 4,000 words or so dissecting that statement, but if you read nothing else, you can walk away with my general thesis.

Let’s take a second to appreciate the significance of this model. This is Harley-Davidson’s first time venturing outside of the cruiser and touring segments since before I was born (at least with a gasoline-burning model). So for them to branch out into the wildly popular and hugely competitive ADV segment is a big deal. For them to introduce such an innovative and impressive machine is even more important.

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Sexy NSA Commercial With Sasha Grey

(NOTE: I first posted this in July 2013. Hit the mark pretty good, I’d say. ABN)

The NSA database shows once again that it is technology that moves the world more than ideology. I doubt there is anything anyone can do to stop this database or others like it, here or abroad.

We can maybe hope that those who have access to databases of this type are completely honest and that they function within perfect systems that have no corruption, but historically that is highly improbable.

Big databases like the NSA’s (and we know there are more of them) create a form of international competition akin to the arms race. If we don’t get ahead of others, they will get ahead of us.

In the near-term, our best hope is probably for even more technology in the form of accurate lie-detectors that can be used to keep all of us honest, including those with access to the database. I do believe that the database has rendered our traditional form of government obsolete and that there is no turning back.

In the long-term, the database will surely look passe, even puny. Isn’t it likely to be a precursor to the even larger database that will house our electronic/digital “selves” once we have achieved a non-biological stage of evolution (if we haven’t already)? Will we need or even want privacy then?

For today, a conundrum in the database arms race is that the NSA has in one way made us “safer” by staying ahead of other countries (I guess), but it has also made us less safe because no database like that can be made perfectly unhackable.

The database should make it clear to even more people that we fundamentally have no idea how our government works or who controls it to what purpose. Rather than look behind the scenes for who has the “real” skinny, as we naively did twenty years ago, now we must wonder if anything known to the public has any bearing at all on what is really going on.

first posted JULY 13, 2013

CLIP (Contrastive Language–Image Pre-training)

We’re introducing a neural network called CLIP which efficiently learns visual concepts from natural language supervision. CLIP can be applied to any visual classification benchmark by simply providing the names of the visual categories to be recognized, similar to the “zero-shot” capabilities of GPT-2 and GPT-3.

…CLIP (Contrastive Language–Image Pre-training) builds on a large body of work on zero-shot transfer, natural language supervision, and multimodal learning. The idea of zero-data learning dates back over a decade8 but until recently was mostly studied in computer vision as a way of generalizing to unseen object categories.910 A critical insight was to leverage natural language as a flexible prediction space to enable generalization and transfer. In 2013, Richer Socher and co-authors at Stanford11 developed a proof of concept by training a model on CIFAR-10 to make predictions in a word vector embedding space and showed this model could predict two unseen classes. The same year DeVISE12 scaled this approach and demonstrated that it was possible to fine-tune an ImageNet model so that it could generalize to correctly predicting objects outside the original 1000 training set.

CLIP: Connecting Text and Images

Patrick Byrne provides data on vote flipping

About a week ago I published some preliminary numbers regarding vote flipping, prepared by some very deep diving dolphin-speakers. They had only located, analyzed, And reconstructed about 18 of them at the time. They had found just short of 300,000 votes flipped. Now they have worked further through the data, and they have locked down what 85 case, for over 2 million votes. They are most of the way but not yet completely all the way through the data, so this may increase a little more.

Former Overstock CEO Patrick Byrne Publishes Preliminary Data On Foreign Vote Flipping In 2020 US General Election

This is important information. Byrne is a credible man. We absolutely cannot allow our elections to be hacked. Nor can we allow significant numbers of Americans to reasonably suspect that our elections are being hacked, which is the case today. This information must be taken seriously and not suppressed, buried, or slow-walked to oblivion. Sorry to say, keep it away from the FBI or DOJ.