Capitalogix

Why You Should Be Excited About Room-Temperature Superconductors

This past week, Korea released two papers claiming to have created a material (LK-99) that is superconductive at ambient temperatures. Before you get too excited, other scientists are still skeptical and cannot replicate their results fully. 

Hyun-Tak Kim—ScienceCast via TIME

Whether this ends up being the breakthrough (or not), there's reason to be excited about where this technology is going.

Semiconductors are the unsung heroes of the tech world, and they power everything from your smartphone to your car. A semiconductor, colloquially a "chip," is a substance that falls somewhere on the continuum between conductor and insulator. Manufacturers process silicon and other materials into semiconductors for all kinds of devices that rely on harnessing electricity for processing power. They're the underpinning of technology, and the 4th industrial revolution is built on the development of better and more connected chips.

That's just a semiconductor, though. What we're talking about now are superconductors. Superconductors have (you guessed it) very high electrical conductivity, allowing lossless or semi-lossless transfer. Up until now, superconductors were only possible at very specific temperatures. A common example of this technology is an MRI machine. 

In 2021, I posted an article on which technologies I thought would impact us most over the next 5-10 years.  

Before I get back to superconductors, here's what I wrote in 2021 about my top 5 technologies: 

1. Compute Power is going to increase, and the ability to brute force problems will create new possibilities. Quantum computing will become more important and likely available for commercial use. 
2. New and better AI platforms will transition AI from a tool for specialists to a commodity for everyday people - it won't just be Artificial Intelligence, it will be Amplified Intelligence (helping people make better decisions, take smarter actions, and continually measure and improve performance). 
3. Blockchain and authenticated provenance are going to become more important as the world becomes increasingly digital. Trust and transparency will be important as indelible logs are needed for finance, medical, armies, etc.
4. IoT will become more pervasive, enabling near digital omniscience as everything becomes a sensor that transmits data up the chain. 
5. Mass customization will become the norm instead of simple mass production as hardware, data, and AI continues to improve products, medicine, custom supplements, and just about everything else. 

 via - "What Technologies Are Going To Most Impact The Next 5-10 Years?" - August 2021

At that same time, the chip shortage massively affected the supply chain. My takeaway was that building and running intelligent AI systems takes a lot of computing power, and as more competitors enter the scene, the cost to play will increase, and so do the stakes of winning and losing. 

To a certain extent, the AI arms race has become a chip arms race. To nations, it is a cold-war-level existential threat.

Advancements in room-temperature superconductors would create a snowball of changes that would affect technology everywhere, and change the makeup of that chip arms race. 

Better conductivity means less heat dissipation, smaller wires, more efficient and faster movement, and smaller tools. That means your processors won't heat up, motors will be able to handle higher torque/weight, and it also becomes a step in making quantum processors a reality. More practically, it means better and longer-lasting batteries, significantly less waste, and a massive jump in robotics. It also means 50x-100x faster chips. 

You could argue it's the "holy grail" of material science. But, we haven't addressed the implications of those new technological possibilities. Electrical grids would be more efficient. Data centers would not only be cheaper but more efficient. And on the more sci-fi side of it, we could create superfast levitating trains which would travel with less friction. 

The chip arms race would still exist because human nature means we will always fight for the best technology and advantages. However, when new technologies are created, their predecessors get cheaper and more accessible. That means more people experimenting with better technology, which often leads to unexpected boons. 

Every technological advancement makes technology as a whole more accessible and prevalent. 

Whether this breakthrough ends up being scalable and sustainable is up for debate, but it's already a sign of progress. 

Onwards! 

E.M.I.G.L.I.O: The Electronic Mechanical Industrial Generated For Logical Infiltration and Observation Robot

I have an old toy robot in my office that my kids played with when they were little.  Its name is E.M.I.G.L.I.O.

Even though it is a toy, this Italian-made robot was interesting technology when it came out.  It was remote-controlled, the remote had a microphone that transformed my voice to sound like a robot, and it had a tray sturdy enough to deliver a video game (or some other surprise) for my kids when they visited the office.

 

Looking back, it's barely even technology, let alone a robot.  But that's because I'm evaluating it based on what's possible now.

I feel the same when I think about my previous company, IntellAgent Control, and what we considered A.I. in the 1990s.  We made a sales automation solution for teams before tools like Salesforce existed.  At the time, the decision logic we used was innovative.  The premise is still valid today, but the technology and implementation scream "relic of a time gone by."

As another aside ... when I searched for Emiglio (in order to write this article), I was astonished by the archive of old robots someone had put together. The site is like a specialized Wikipedia site for toy robots.  Each of the entries has high-quality photos of the robots and their packaging.  It also includes facts, marketing copy, ads, and patents. 

It is kind of cool ... Kind of like Emiglio.

It got me thinking about how much of history - and esoteric knowledge - only exists because a tiny community of people decided it needed to be cataloged or preserved.

Garbage In – Garbage Out.  Nothing In – Nothing Out.  What are we missing from the past because history is often written by the winner (or because no one volunteered to chronicle what happened)?

Even a site like Wikipedia has some serious content curation issues.  For example, the top 50 Wikipedia editors have each contributed more than 500,000 edits.  Think how much is missing.

Soon A.I. will decide what to write about what it decided happened, what to save and for how long, and what to say when asked about it.

Not only will the future be different ... even the past will be remembered differently.

Just a thought! 

Do You Think the U.S. Has Aliens?

I'll admit to being fascinated by the idea of aliens.  Growing up in the 60s and 70s, there was no shortage of science fiction fantasies imagining what a space-faring civilization would look like and, more importantly, what would we, the Earthlings, do when they made contact. 

Last year, there was a U.S. congressional hearing on Unidentified Flying Objects.  While there wasn't any proof of aliens, they did admit to phenomena they couldn't explain with their current information.

Now, we have multiple former military officials testifying in a House of Representatives meeting that the U.S. has recovered not only spacecraft but alien biological matter for decades.  While I do believe in the possibility of aliens, I remain skeptical.

There are many stories (or theories) about how we had encountered aliens before and just kept them secret.  For example, in 2020, a former senior Israeli military official proclaimed that Aliens from a Galactic Federation had contacted us - and that not only is our government aware of this, but they are working together. 

In contrast, I have found it more realistic and thought-provoking to consider theories about why we haven't seen aliens until now.

For example, the Fermi Paradox considers the apparent contradiction between the lack of evidence for extraterrestrial civilizations and the various high probability estimates for their existence. 

Let's simplify the issues and arguments in the Fermi Paradox.  There are billions of stars in the Milky Way galaxy (which is only one of many galaxies).  Each of these stars is similar to our Sun.  Consequently, there must be some probability of some of them having Earth-like planets.  Further, it isn't hard to conceive that some of those planets should be older than ours, and thus some fraction should be more technologically advanced than ours.  Even if you assume they're only looking at evolutions of our current technologies - interstellar travel isn't absurd.  Thus, based on the law of really large numbers (both in terms of the number of planets and the length of time we are talking about) ... it makes the silence all the more deafening and curious. 

If you are interested in the topic "Where are all the aliens?"  Stephen Webb (who is a particle physicist) tackles that in his book and in this TED Talk.   

 

via TED

In the TED talk, Stephen Webb covers a couple of key factors necessary for communicative space-faring life. 

1. Habitability and stability of their planet
2. Building blocks of life 
3. Technological advancement
4. Socialness/Communication technologies

But he also acknowledges the numerous confounding variables, including things like imperialism, war, bioterrorism, fear, moons' effect on climate, etc. 

Essentially, his thesis is that there are numerous roadblocks to intelligent life - and it's entirely possible we are the only planet that has gotten past those roadblocks - or that there might have been others in the past, or others may develop in the distant future. 

What do you think?

Here's another article I wrote on the subject, titled "Are We Alone In The Universe?"

Finally, here are some other links I liked on this topic.  There is some interesting stuff you don't have to be a rocket scientist to understand or enjoy. 

• 75 Reasons We Don't See Aliens 
• Wait But Why: The Fermi Paradox
• A New Theory on Why We Haven't Found Aliens Yet
• A List of Solutions to The Fermi Paradox
• Dissolving the Fermi Paradox, Future of Humanity Institute, Oxford University

To Infinity and Beyond!

Life After Death ... Will A.I. Help you Live Forever?

My Aunt recently passed away. She was my Dad's sister ... and she was a fantastic person. She was loving and kind. She was a natural-born caregiver, And she was as sharp as a tack. What wouldn't we give for another moment with her? My response to her death reminded me of my feelings when my Dad passed away. 

This time, the conversation was a little different. People asked me if I thought that A.I. would enable us to live on after our bodies started to give out on us. I recorded some of my thoughts. 

 

I don't think A.I. will give us life after death.

I do believe technology will get good enough to create a replica of you - that talks like you, responds like you, and even comforts people who miss you. 

I don't believe technology can capture whatever part of us doesn't live in our bodies. Whether you call it our soul (or something else), I don't think that will ever get uploaded to the matrix, so you live on. 

And, I think that's okay. Part of the beauty of existence is the transience, the joy, the suffering, and the range of human experience. That is a big part of what we call life.

When my Dad was dying, every moment took on new meaning. Not only did time seem to slow down, but there was a weight and intimacy that's often taken for granted. 

What do you think?

A Brief Look At Quantum Computing

I am not an expert on quantum computing ... but I saw an impressive photo of Google's new quantum computer, and thought it was worth diving a bit deeper. 

Google's computer stands at the forefront of computing technologies. This extraordinary device boasts 70 qubits, a significant improvement over the previous 2019 model, which had 53 qubits. A qubit is the quantum world's answer to classical bits. Not to dive too deep, but as you increase the number of qubits in a model, the possible states a quantum computer can hold simultaneously grows exponentially (due to quantum entanglement,) allowing it to perform faster calculations.

So, while 70 qubits don't sound like that much, it calculates exponentially faster than normal computers. For some context, Google's team used a synthetic benchmark called random circuit sampling to test the system's speed, and the results showed that they could perform calculations in seconds that would take the world's most powerful supercomputer, Frontier, 47 years. 

Four years ago, Google announced that they'd reached quantum supremacy, a benchmark demonstrating that a programmable quantum device could solve a problem impossible for classical computers to solve within a practical timeframe. It took less than five years to successfully establish the technological feasibility of quantum computers. 

The progress made in quantum computing enhances our capacity to tackle complex problems that previously posed a challenge (or seemed impossible). The ripple effects will extend to other domains and industries (improving artificial intelligence, logistics, medicine, and almost anything you can imagine). As with the space race or AI, the benefits will not be limited to the realm in which they were created ... but will also have a significant impact on broader industries, the world, and our lives.

 

It's important to temper your expectations and recognize that quantum technology is still in its infancy. It comes with significant limitations, such as the need for extremely low temperatures and precise magnetic fields. Even if these specific conditions are satisfied, there will be stability issues. Additionally, the current cost to develop and operate this technology is quite high.

But, it's an exciting horizon for us to walk towards. 

Onwards!

The Surreal World of Deepfakes And Deep AI

Deep Learning excels in analyzing pictures & videos and creating facsimiles or combining styles.  People are using generative AI tools like ChatGPT or Midjourney increasingly frequently.  And there is an explosion of simple tools (like the Deep Dream Generator or DeepAI) that use Convolutional Neural Networks to combine your photo with an art style (if you want to do it on your phone, check out Prisma).   Here are some example photos.

via SubSubRoutine

The same foundation that allows us to create these cool art amalgamations also can create deepfakes.  A Deepfake is precisely what it sounds like ... they use "Deep Learning" to "Fake" a recording.  For example, a machine learning technique called a Generative Adversarial Network can be used to superimpose images onto a source video.  That is how they made this fun (and disturbing) Deepfake of Jennifer Lawrence and Steve Buscemi.

 

Another interesting technology can create AI-powered replicas of someone that don't just look and sound like them – they can respond like them too.  Examples of this are seen in tools like Replica Studios or Replika.  One of the artistic uses people have been exploring recently is getting unlikely characters to sing famous songs.  These chatbots have also been used by lonely men and women to create virtual paramours. 

The three basic uses of deep learning (described above) are being combined to create a lot of real mainstream applications ... and the potential to create convincing fakes.

Deepfakes can be fun and funny ... but they also create real concerns.  They're frequently used for more "nefarious" purposes (e.g., to create fake celebrity or revenge porn and to make important figures say things they never said).  You've likely seen videos of Trump or Biden created with this technology.   But it is easy to imagine someone faking evidence used at trial, trying to influence business transactions, or using this to support or slander causes in the media.

As fakes get better and easier to produce, they will likely be used more often. 

On a more functional note, you can use these technologies to create convincing replicas of yourself.  You could use that replica to record videos, send voicemails, or participate in virtual meetings for you. While I don't encourage you to use it without telling people you are, even just using the technology puts you a step ahead. 

Rewriting The Past, Present, and Future

"Fate has ordained that the men who went to the moon to explore in peace will stay on the moon to rest in peace." - Nixon's Apollo 11 Disaster Speech

In an ideal world, history would be objective; facts about what happened, unencumbered by the bias of society, or the victor, the narrator, etc.

I think it's apparent that history as we know it is subjective.  The narrative shifts to support the needs of the society that's reporting it.  History books are written by the victors. 

The Cold War is a great example where, during the war, immediately after the war, and today, the interpretation of the causes and events has all changed.  

But while that's one example, to a certain degree, we can see it everywhere.  We can even see it in the way events are reported today.  News stations color the story based on whether they're red or blue, and the internet is quick to jump on a bandwagon even if the information is hearsay. 

Now, what happens when you can literally rewrite history?

“Every record has been destroyed or falsified, every book rewritten, every picture has been repainted, every statue and street building has been renamed, every date has been altered. And the process is continuing day by day and minute by minute. History has stopped.“ - Orwell, 1984

That's one of the potential risks of generative AI and deepfake technology.  As it gets better, creating "supporting evidence" becomes easier for whatever narrative a government or other entity is trying to make real.

On July 20th, 1969, Neil Armstrong and Buzz Aldrin landed safely on the moon.  They then returned to Earth safely as well. 

MIT recently created a deepfake of a speech Nixon's speechwriter William Safire wrote during the Apollo 11 mission in case of disaster.  The whole video is worth watching, but the speech starts around 4:20. 

 

MIT via In Event Of Moon Disaster

Media disinformation is more dangerous than ever.  Alternative narratives and histories can only be called that when they are discernible from the truth.  In addition, people often aren't looking for the "truth" – instead, they are prone to look for information that already fits their biases. 

As deepfakes get better, we'll also get better at detecting them.  But it's a cat-and-mouse game with no end in sight.  In Signaling Theory, it's the idea that signalers evolve to become better at manipulating receivers, while receivers evolve to become more resistant to manipulation.  We're seeing the same thing in trading with algorithms. 

In 1983, Stanislav Petrov saved the world. Petrov was the duty officer at the command center for a Russian nuclear early-warning system when the system reported that a missile had been launched from the U.S., followed by up to five more.  Petrov judged the reports to be a false alarm and didn't authorize retaliation (and a potential nuclear WWIII where countless would have died). 

But messaging is now getting more convincing.  It's harder to tell real from fake.  What happens when a world leader has a convincing enough deepfake with a convincing enough threat to another country?  Will people have the wherewithal to double-check?

Lots to think about. 

I'm excited about the possibilities of technology, and I believe they're predominantly good.  But, as always, in search of the good, we must acknowledge and be prepared for the bad. 

Here Are Some Links For Your Weekly Reading - July 9th, 2023

Here are some of the posts that caught my eye recently. Hope you find something interesting.

Lighter Links:

• France Set to Allow Police to Spy Through Phones. (Lemonde)
• Your Most Ambivalent Relationships are the Most Toxic. (NYT)
• Is Positive Psychology Science or Snake Oil? (PsychologyToday)
• Einstein and Musk Chatbots Are Driving Millions to Download Character.AI. (Bloomberg)
• New Report Warns of Brain Control Weapons Being Developed by Communist China. (DailyWire)

Trading Links:

• The Copyright Battles Against OpenAI Have Begun. (Quartz)
• Baby Boomers Own Pretty Much Everything - But Millennials Could Be About to Catch Up. (Markets)
• Forbes World's Billionaires List 2023: The Top 200. (Forbes)
• Wall Street Soothsayers Are Bewildered About What's Next. (Bloomberg)
• SVB, BBBY, Lordstown Lead List of US Bankruptcies as Companies Fold up at the Fastest Pace Since 2010. (Markets)

Economic Allies and Economic Enemies

Last week, I brought up the concept of Economic Freedom. It reminded me of an idea I last shared in 2008, during the housing crisis. 

I noticed how correlated and coordinated worldwide actions were during the housing crisis. During the pandemic, while there was a lot of dissent, there was also a remarkable amount of coordination. 

The concept of economic allies presupposes that we also have economic enemies. It’s easy to construct a theory that countries like Russia and China use financial markets to exert leverage in a nascent form of economic warfare.

It's easy to come up with a theory that suggests we are our own worst enemies. Our innate fear and greed instincts (and how we react to them) tend to lead us down a path of horrifying consequences. This has been evident in recent years, not just in society, but also in the world of business. I am confident that this pattern will persist in the context of Artificial Intelligence, with both its potential benefits and risks.

The butterfly effect theorizes that a butterfly flapping its wings in Beijing on one day can create or impact a rainstorm over Chicago a few days later. Similarly, in a world with extensive global communication and where automated trading programs (and even toasters) can interact with each other from anywhere across the globe, it is not surprising that market movements are becoming larger, faster, and more volatile.

Perhaps governments cooperate and collaborate because they collectively recognize the need for a new form of protection to mitigate the increasing speed, size, and leverage behind market movements.

And we can also extend this idea to other entities beyond governments. It doesn’t have to be limited to traditional markets either; it can include cryptocurrencies or other emerging technologies as well.

It’s worth understanding the currents, but we must also consider the undercurrents and countercurrents. 

Conspiracy theories are rarely healthy or helpful, but maintaining a healthy skepticism is a great survival mechanism.

Hope that helps.

The AI Hacking Paradox

Fear is a natural response to change or the unknown, serving as an evolutionary mechanism designed to safeguard us. However, it’s also worth noting that many of our fears turn out to be unjustified.

Sometimes, however, fear is a much-needed early warning system. 

In the context of AI hacking, you should be afraid. Given the exponential growth in technology and artificial intelligence, concerns about security breaches and intentional misinformation campaigns have become common.

In 2016, DARPA created the Cyber Grand Challenge to illustrate the need for automated, scalable, machine-speed vulnerability detection as more and more systems—from household appliances to major military platforms—got connected to each other and the internet. During this event, AI systems competed against each other to autonomously hack and exploit vulnerabilities in computer programs. The competition revealed the unprecedented speed, scope, scale, and sophistication with which AI systems can find and exploit vulnerabilities.

And that was seven years ago. 

AI hackers operate at superhuman speeds and can analyze massive amounts of data, enabling them to uncover vulnerabilities that might elude human hackers. Their ability to think differently, free from human constraints, allows AI systems to devise novel hacks that humans would never consider. This creates an asymmetrical advantage for AI hackers, making them formidable at infiltrating and compromising systems.

We expect people to use AI for malicious purposes intentionally, but unintentional AI hacking arises when an AI autonomously discovers a solution or workaround that its creators did not intend. This type of hack can remain undetected for extended periods, amplifying the potential damage caused. 

So, how do we stop it?

Ironically, or perhaps, exactly as you would expect it, AI itself holds the key to defending against future attacks. Just as hacking can drive progress by exposing vulnerabilities and prompting improvements, AI hackers could potentially identify and rectify weaknesses in software, regulations, and other systems. By proactively searching for vulnerabilities, they can contribute to making these systems more hack-resistant. This is the paradox of AI hacking. 

It’s the same concept as I mentioned in the article on potentially halting the creation of generative AI.  

Unfortunately, when you invent the car, you also invent the potential for car crashes ... when you ‘invent’ nuclear energy, you create the potential for atomic bombs. That’s not a reason to stop innovation - it’s a call to action for innovators to respond faster and counteract the bad actors. 

We can’t stop bad actors from existing - but we can get better at preventing harm due to them. This is a helpful framework for innovation. If you want to stop the bad actors from misusing a technology, the good actors "simply" have to get better at using the technology faster. 

The best way to stop negative motion is with positive motion. But, we can also make moves in the background to counteract bad actors and bad actions.

For example: 

1. Regulation and Transparency: Regulatory frameworks can be established for AI technologies that demand transparency regarding how they function and how they’re secured.
2. Ethical Guidelines: Implementing ethical guidelines for AI development can help prevent misuse.
3. Cybersecurity Measures: Enhancing cybersecurity protocols and utilizing state-of-the-art encryption methods could make AI systems more resilient against hacking attempts.
4. Education: Increasing public understanding of AI technologies would spread awareness of their benefits alongside potential risks.

While these measures won’t eliminate the potential risk of AI hacking, they could significantly mitigate it and provide reassurances about employing such technologies.