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Elon Musk Lost $186 Billion? Hardly — Look At This!


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Ok, this actually blew my mind.

I was listening to a short video about Elon Musk “losing” $186 billion but it’s the second half of the video that really blew my mind.

It’s short, watch this:

Backup here if needed:

So…it’s real folks, I looked it up.

It’s called Voice.AI and it’s like Deep Fakes on steroids.

According to its website and the Apple App Store, it’s available for pre-order and will launch to the public on February 28.

According to GFR, it can clone a voice after just 3 seconds of listening to a sample….stunning!

New text-to-speech AI technology from Microsoft can clone a voice after just three seconds. Called VALL-E, the program was created after the system listened to 60,000 hours of English audiobook narration from 7,000 speakers. The goal was to get the AI program to reproduce human-sounding speech. This sample size is much larger than those similar programs have been built on.

The Microsoft team also developed a website that features several demos of VALL-E. The program can manipulate the voice to say anything using AI prompts. It can also replicate the emotion or be configured into different speaking styles, PC Mag reports. While cloning has been around for a while, Microsoft has made it easier to replicate voices.

Unfortunately, this makes it easier for technology to fuel cybercrime. Microsoft has also acknowledged that its voice-learning AI could be a potential security threat. “Since VALL-E could synthesize speech that maintains speaker identity, it may carry potential risks in misuse of the model,” researchers said in their paper.

This includes spoofing voice identification or impersonating a specific speaker. But Microsoft says it might be possible to create a program that knows if a voice clip was synthesized by AI. But for now, the company will refrain from making the code open source due to the risks, The Byte reports. VALL-E interprets audio speech as “discrete tokens” and reproduces it to speak.

The system then generates the corresponding acoustic tokens conditioned on the acoustics of the three-second recording. The generated acoustic tokens are then used to synthesize the final waveform with the corresponding neural codec decoder. In addition to mimicking voice timbre and emotional tone, the AI can also copy the acoustic environment of the sample audio.

For instance, if the voice sample came from a telephone call, the AI will simulate the sound and frequency properties of a phone call in its synthesized output. That’s just a fancy way of saying it will sound like a telephone call too, ARS Technica reports.

Samples from the Microsoft research team, in its Synthesis of Diversity section, also show that VALL-E can generate variations in tone by changing the random seed used in the process. But as impressive as the technology sounds, the voice-replicating AI program still has a few problems.

VALL-E sometimes struggles to pronounce words. The words can also sound artificially synthesized or robotic. These errors are unavoidable when working with machine learning artificial intelligence. According to the research team, even 60K hours of voice data is not enough to train the AI. This is especially true in terms of accents and dialects.

Here’s just ONE example:

Here’s more on Deep Fakes…

Which Obama Is Real? I Bet You Can’t Tell…

We’ve heard a lot about a “Fake Biden”.

Maybe an actor…

Maybe a body double…

Maybe who knows what!

We’ve also talked about fake White Houses, fake TV sets, etc.

When I first published articles about Biden possibly in a fake White House, so many people said it was CONSPIRACY THEORY and I should no longer be allowed to publish anything because I had lost all credibility.

Except….we were proven right last week.

In case you haven’t seen it, it’s no longer “Fake Conspiracy” or even “Conspiracy Theory”.

Nope.

It’s now Fact.

Not a “rumor”….a “TRUEmor”.

If you missed it, read about Joe Biden’s Fake White House Set here (and see the photos and videos).

Even Fox News and some left-leaning channels have covered it.

But with that as background, I actually want to talk about Fake Obama, not Fake Biden in this article.

And I’m not talking about body doubles or actors.

I’m talking about “deep fakes”.

Have you heard of them?

If not, watch this and see if you can correctly identify the “real” Obama….

Watch here on Rumble:

If you haven’t watched the video, stop here and don’t read anymore.

Ok, SPOILERS coming….

For everyone who watched the video you learned that NONE of them are real.

All are computer fakes.

Scary right?

And this video is over a year old.

My point?

If they could do this a year ago, how many things in the Biden Residency do you think are being faked?

And another bigger point: it used to be said that you could “photoshop” a photo but not a video.

Now you can do both.

Why is that important?

Read this article below to realize what’s coming next.


Ok folks, buckle up because this one is about to get wild!

If you’ve been following the Jeffrey Epstein story, you know the rumors say he had EVERYTHING on video tape.

Very powerful people all caught on video tape in, shall we say, compromising situations?

Situations maybe with very young children perhaps?

Politicians.

Movie stars.

Supreme Court justices?  (looking at you JR)

That’s all speculation.

And Epstein is dead (allegedly), but his handler Ghislaine Maxwell is not.

So that will play out on its own.

But let’s just assume for a moment that these videos DO come out.

What happens next?

It’s game over, right?

Caught on tape!

Photos and video don’t lie!

Right?

Or do they?

Have you heard about “Deep Fakes” recently?

Confused about what they are?

I believe the Deep Fake is the Deep State’s answer to all these videos when they start being exposed.

So what is a Deep Fake?

Well, watch this:

 

And this:

And even this from PBS’s NOVA:

Ok, so now you get it.

Now you’ve SEEN it.

And let me tell you something else….if this is what they’re publicly releasing, then you know the real technology held by the elites is much more advanced.

They never release the full thing, just a fraction of it.

Here’s more on the new technology, from Forbes:

Last month during ESPN’s hit documentary series The Last Dance, State Farm debuted a TV commercial that has become one of the most widely discussed ads in recent memory. It appeared to show footage from 1998 of an ESPN analyst making shockingly accurate predictions about the year 2020.

As it turned out, the clip was not genuine: it was generated using cutting-edge AI. The commercial surprised, amused and delighted viewers.

What viewers should have felt, though, was deep concern.

The State Farm ad was a benign example of an important and dangerous new phenomenon in AI: deepfakes. Deepfake technology enables anyone with a computer and an Internet connection to create realistic-looking photos and videos of people saying and doing things that they did not actually say or do.

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A combination of the phrases “deep learning” and “fake”, deepfakes first emerged on the Internet in late 2017, powered by an innovative new deep learning method known as generative adversarial networks (GANs).

Several deepfake videos have gone viral recently, giving millions around the world their first taste of this new technology: President Obama using an expletive to describe President Trump, Mark Zuckerberg admitting that Facebook’s true goal is to manipulate and exploit its users, Bill Hader morphing into Al Pacino on a late-night talk show.

The amount of deepfake content online is growing at a rapid rate. At the beginning of 2019 there were 7,964 deepfake videos online, according to a report from startup Deeptrace; just nine months later, that figure had jumped to 14,678. It has no doubt continued to balloon since then.

While impressive, today’s deepfake technology is still not quite to parity with authentic video footage—by looking closely, it is typically possible to tell that a video is a deepfake. But the technology is improving at a breathtaking pace. Experts predict that deepfakes will be indistinguishable from real images before long.

“In January 2019, deep fakes were buggy and flickery,” said Hany Farid, a UC Berkeley professor and deepfake expert. “Nine months later, I’ve never seen anything like how fast they’re going. This is the tip of the iceberg.”

Today we stand at an inflection point. In the months and years ahead, deepfakes threaten to grow from an Internet oddity to a widely destructive political and social force. Society needs to act now to prepare itself.

When Seeing Is Not Believing

The first use case to which deepfake technology has been widely applied—as is often the case with new technologies—is pornography. As of September 2019, 96% of deepfake videos online were pornographic, according to the Deeptrace report.

A handful of websites dedicated specifically to deepfake pornography have emerged, collectively garnering hundreds of millions of views over the past two years. Deepfake pornography is almost always non-consensual, involving the artificial synthesis of explicit videos that feature famous celebrities or personal contacts.

From these dark corners of the web, the use of deepfakes has begun to spread to the political sphere, where the potential for mayhem is even greater.

It does not require much imagination to grasp the harm that could be done if entire populations can be shown fabricated videos that they believe are real. Imagine deepfake footage of a politician engaging in bribery or sexual assault right before an election; or of U.S. soldiers committing atrocities against civilians overseas; or of President Trump declaring the launch of nuclear weapons against North Korea. In a world where even some uncertainty exists as to whether such clips are authentic, the consequences could be catastrophic.

Because of the technology’s widespread accessibility, such footage could be created by anyone: state-sponsored actors, political groups, lone individuals.

In a recent report, The Brookings Institution grimly summed up the range of political and social dangers that deepfakes pose: “distorting democratic discourse; manipulating elections; eroding trust in institutions; weakening journalism; exacerbating social divisions; undermining public safety; and inflicting hard-to-repair damage on the reputation of prominent individuals, including elected officials and candidates for office.”

Given the stakes, U.S. lawmakers have begun to pay attention.

So….now do you get it?

Now do you see the master plan?

Let’s assume we FINALLY get to see all the evidence that Epstein and Maxwell have.

Let’s say we see really sick videos of Bill Clinton with children as young as, oh I don’t know, say 12?

Will they go straight to prison?

Of course not!

Silly plebs.

The answer will be so simple:  “that’s not real”.

Well it sure looks like you Bill.

Yeah, sure it does, but have you heard of Deep Fake videos?

Here watch all of these.

It’s impossible to tell that this isn’t just a computer generated image.

I wasn’t there.

I never had sex with that woman.

That wasn’t me!

Can you see how this will go now?

Sadly, I wish I were not right about this.



 

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