Dr. Robert Malone Was Unfairly Deplatformed

Jeff Brown
|
May 2, 2022
|
Bleeding Edge
|
9 min read
  • Ready to race horses in a metaverse?

  • Get ready for AI that can think like a human…

  • The company that’s catching rockets out of the sky…


Dear Reader,

Over the weekend I had the great pleasure of spending time with Dr. Robert Malone and his wife, Jill. We spoke for hours, and I feel incredibly fortunate and honored to have had the chance to do so.

For those readers that haven’t heard the name before, Dr. Malone is literally the inventor of the use of messenger ribonucleic acid (mRNA) for the purpose of therapeutics or vaccines. Some have referred to him as the “father of mRNA vaccines.”

In the 1980s, Dr. Malone made a major breakthrough while working on research at the Salk Institute for Biological Studies in San Diego. His research demonstrated that it was possible to deliver an mRNA payload to cells by “packaging” it in a liposome. Doing so ensured that the payload (a therapy) could make it into cells so that a desired protein can be produced by our bodies.

His work was the foundation upon which hundreds of others built using mRNA technology. In his career, Dr. Malone has become one of the most accomplished and competent “experts” in the fields of virology and immunology.

In other words, he is the kind of person that we’d like to hear from during a pandemic.

So it may, or may not, come as a surprise that he was censored, banned, and deplatformed by Twitter and other major media and social media outlets. Incredible efforts have been taken by those that support the current political narrative to delegitimize him.

It is absolutely criminal what has been done. Dr. Malone and his wife now have to travel with a security team to most places… Imagine what life would be like if you had to live like that.

His “crime?” He simply wanted to share scientific research about the efficacy and safety of mRNA “vaccines” so that we, as a population, could have an informed decision about these experimental drugs.

Dr. Malone is a fact- and evidence-based scientist that simply wanted an open and honest discussion about pandemic policies, their effectiveness, and the second-order effects caused by both the pandemic policies and the COVID-19 experimental drugs.

To be very clear, Dr. Malone is not anti-vaccine, and in fact, already had his two COVID-19 shots; but did so before much of the data that we now have was released. But with all of the data and scientific research that has been recently released, he made a few key points over the weekend that may come as a surprise to some:

  • The risks of the genetic vaccines are higher than the risks of the virus itself

  • They do not protect against infection, replication, or spread of the virus

  • They have significant toxicity both short and long term

Dr. Malone doesn’t say these things lightly, and his points are backed by extensive research that has already been conducted – but sadly not widely spoken about.

The reality is that we are going to be dealing with these second- and third-order effects from the decisions that were made during the pandemic – for the remainder of this decade.

I can’t help but wonder how different the last two years would have been if open and healthy scientific discourse was permitted.

I can’t help but wonder what the next five years would have been like had the Centers for Disease Control and Prevention (CDC), National Institutes of Health (NIH), and the U.S. Food and Drug Administration (FDA) been open, honest, and transparent about the risks and not rushed to push out the COVID-19 experimental drugs immediately after the 2020 elections.

There is one thing that I’m sure of, though – we need more medical and health professionals with the courage, fortitude, and character of Dr. Malone to speak out so that something like this never happens again.

This startup is turning thoroughbred racehorses into NFTs…

A brand-new play-to-earn (p2e) game involving non-fungible tokens (NFT) just caught my eye. It’s called Game of Silks. And it is pioneering quite a unique approach.

The idea of play-to-earn games became popular amongst Bleeding Edge readers since I first wrote about p2e game STEPN a while back. Some of our subscribers are making hundreds of dollars a day playing, and one of our team members has made as much as $2,000 in a single day using the application.

Game of Silks mints NFTs that are linked to real thoroughbred racehorses. I’ll explain with some context…

NFTs are represented digitally as a piece of art or collectible, but as we discussed last Thursday, NFTs can be tied to physical items like sneakers. That’s the “digi-fizzy” concept. When someone buys the NFT, they also receive the physical item represented.

Well, Game of Silks is tying the digital and physical worlds in a unique way. The project is creating NFTs that in part represent the actual traits, characteristics, and real-world performance of real racehorses.

Game of Silks tracks each horse’s training progress and racing results, and it plans to reward owners with a native cryptocurrency when their horse does well in real races.

And it doesn’t stop there…

The project also tracks each horse as it gets old enough to breed. When a horse produces offspring in real life, Game of Silks mints a new NFT for that horse. It’s a different twist on “breeding” with NFTs. And it rewards those who own the parents’ NFTs accordingly.

And there’s one more piece to the puzzle. Game of Silks is building a metaverse in which each horse will have its own digital avatar. NFT owners will be able to enter their horses into virtual races to compete for additional rewards.

These kinds of unique opportunities, enabled by NFTs,F create real-world economic incentives that accelerate adoption and power the overall “tokenization” trend… and we’re going to see more and more of these projects unveiled as creative people imagine what’s possible with this new technology.

To learn more about how we’re profiting from it now in my research services, simply go right here for more info.

And I’ll be tracking this project closely going forward. I’m excited to see if it catches on.

We are getting closer to artificial general intelligence (AGI)…

An interesting artificial intelligence (AI) company just came out of stealth with a large funding round. The company is Adept AI. And it just raised $65 million in its Series A round last week.

As regular readers know, I diligently track early stage funding rounds to get a feel for new companies on the bleeding edge of technology. By doing this, I can also get a sense of where entire industries are going.

And with what I’m seeing at Adept AI, I can confidently say that we are speeding towards artificial general intelligence (AGI).

That’s the point at which an AI is indistinguishable from that of a human and is empowered with “superhuman” capabilities. It can think, understand, learn, and apply its knowledge to solve any problem – just as we humans do – but in a fraction of the time and on any subject matter at all.

Key researchers from Google’s DeepMind, OpenAI, and Google itself founded Adept AI.

As we know, DeepMind has been making AI breakthroughs left and right over the last three years. And OpenAI is the company behind GPT-3, the AI that can take directions from humans to create short stories, write technical manuals, and even produce computer code.

Adept AI has built a team with some of the most talented AI researchers in the world. And they want to train their neural network – the same AI technology that powers our Perceptron – to learn how to use every software tool in the world.

Think about that…

Most of us use multiple software platforms every day. And there are software solutions out there for pretty much any task we could want using a computer. Yet sometimes we don’t know which software would be the best tool for a certain task.

Adept AI’s vision is to have an AI that masters every software platform available for just about any task. And the team is creating a voice interface where we will be able to speak directly to the AI and tell it what we are trying to accomplish.

Then the AI will go to work and provide us with results very quickly.

For example, we could tell the AI to do a thorough financial analysis on a particular company that we might be interested in. Or maybe we would have it do a supply chain analysis on the semiconductor industry to get a more specific feel for how long the shortages will last.

The possibilities are endless.

From there, we could work with the AI to refine the results or expand beyond our original request. Again, that’s as simple as telling the AI what we want it to do.

To me, this looks a whole lot like the beginnings of AGI.

The goal is to have an AI that can interface with us using natural language. It will be able to understand human requests and directions and then perform any computing task in the world.

And of course, the AI will learn rapidly as it goes. This might be the precursor to an AI that can think for itself.

I have long maintained that we are speeding towards AGI far faster than anyone realizes. Given what I’m seeing in the industry right now, I think we will see the world’s first artificial general intelligence as early as 2025.

The implications, of course, are profound, and I’m going to be doing my best to keep my readers informed and ready for what’s to come.

This company is working to catch falling rockets…

We’ll wrap up today with an exciting development at aerospace pioneer Rocket Lab.

Longtime readers may remember Rocket Lab. This is the company that makes its rockets using 3D printing technology. In fact, it can “print” an entire engine in just 24 hours. How’s that for efficiency?

This approach allows Rocket Lab to produce rockets that are highly efficient, lighter, and cheaper than other aerospace companies.

And if we remember, the company is targeting a niche in the aerospace industry. Rocket Lab focuses exclusively on launching lighter payloads into low Earth orbit at low costs.

And a critical part of the business model revolves around being able to reuse the rockets for multiple launches. That’s why Rocket Lab is working to recover its first-stage boosters after launch – just like SpaceX does.

First stage boosters are the “heavy lift” stage of a rocket. It is the first rocket engine to engage, providing the initial thrust to get the rocket off the ground and counter the force of Earth’s gravity.

The first stage is larger than the second stage, or stages, because it must transport not only its own weight, but also the weight of the rest of the rocket and spacecraft.

So if Rocket Lab can recover its first-stage boosters after launch, it can reuse them for future launches. This is a huge deal because first-stage boosters typically comprise around 60% of the total cost to launch a rocket.

So mastering its recovery system will allow Rocket Lab to offer launch services at low prices.

And the company’s approach to recovering its boosters is unique, quite different from SpaceX in fact. It has programmed the booster to deploy a parachute as it falls back down to Earth. Then Rocket Lab uses a helicopter with a hook that flies out and “catches” the booster, bringing it down safely.

Here’s a visual:

Rocket Lab’s “Catching” System

Source: India Today

This approach may seem a bit unsophisticated if we compare it to SpaceX’s self-landing rockets. SpaceX lands its boosters on floating platforms in the ocean… which is quite impressive to see.

That said, there is an advantage to Rocket Lab’s approach.

For SpaceX, the boosters must retain enough fuel after launch to navigate back to the launch pad or floating platform in order to safely land.

That’s not the case with Rocket Lab. Its boosters do not need to retain any fuel because the parachute and the helicopter do all the recovery work.

Rocket Lab is launching its mission from New Zealand’s Mahia Peninsula and has suffered a couple of weeks of delays due to weather. But the launch could happen as early as today. We’ll certainly be watching.

Regards,

Jeff Brown
Editor, The Bleeding Edge


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