Science

  • Gartner’s 2023 Hype Cycle For Emerging Technologies

    I share an article about Gartner’s Hype Cycle for Emerging Technologies each year.  It does a great job of documenting what technologies are reaching maturity and which technologies’ ascents are being enhanced by the cultural zeitgeist (hype, momentum, great timing, etc.).

    Creating a report like this requires a unique mixture of technological analysis and insight, an acute understanding of human nature, and a lot of common sense.

    Identifying which technologies are making real waves (and thus will impact the world more) is a monumental task.  Gartner’s report is a great benchmark to compare with your perception of reality.

    A quick look back at past reports shows that 2021 saw the inclusion of NFTs and advancements in AI.  It also focused on the increasing ubiquity of technology.  2022 built on those trends, recognizing that we were moving towards immersive experiences, faster digital transformations, and the adoption of exponential AI capabilities.  For reference, click here to see what Gartner predicted last year.

    Meanwhile, let’s look at the 2023 version of Gartner’s Hype Cycle for Emerging Technologies report.  2023 has some meaningful changes – and is best understood by where things are placed on Gartner’s framework called the “Hype Cycle.”

    What’s a “Hype Cycle”?

    As technology advances, it is human nature to get excited about the possibilities … and to get disappointed when those expectations aren’t met. 

    At its core, the Hype Cycle tells us where in the product’s timeline we are – and how long it likely will take the technology to hit maturity.  It attempts to tell us which technologies will survive the hype and have the potential to become a part of our daily lives. 

    Gartner’s Hype Cycle Report is a considered analysis of market excitement, maturity, and the benefit of various technologies.  It aggregates data and distills more than 2,000 technologies into a concise and contextually understandable snapshot of where various emerging technologies sit in their hype cycle.

    Here are the five regions of Gartner’s Hype Cycle framework:

    1. Innovation Trigger (potential technology breakthrough kicks off),
    2. Peak of Inflated Expectations (Success stories through early publicity),
    3. Trough of Disillusionment (waning interest),
    4. Slope of Enlightenment (2nd & 3rd generation products appear), and
    5. Plateau of Productivity (Mainstream adoption starts). 

    Understanding this hype cycle framework enables you to ask important questions like “How will these technologies impact my business?” and “Which technologies can I trust to stay relevant in 5 years?”

    That said – it’s worth acknowledging that the hype cycle can’t predict which technologies will survive the trough of disillusionment and which ones will fade into obscurity. 

    What’s exciting this year?

    Before focusing on this year, it’s important to remember that, in 2019, Gartner shifted towards spotlighting new technologies at the expense of technologies that would normally persist through multiple iterations of the cycle.  This change helps account for the increasing number of innovations and technology introductions we are exposed to compared to the norm when they first started producing this report.  As a result, many of the technologies highlighted over the past couple of years (like Augmented Intelligence, 5G, biochips, the decentralized web, etc.) are now represented within newer modalities or distinctions. 

    It’s also worth noting the impact of the pandemic on the prevalent technologies. 

    For comparison, here’s my article from 2019, and here’s my article from 2015.  Click on the chart below to see a larger version of this year’s Hype Cycle.

     

    Hype-cycle-for-emerging-technologies-2023

    via Gartner

    Last year’s themes were:

    1. Evolving/Expanding Immersive Experiences,
    2. Accelerated Artificial Intelligence Automation, and
    3. Optimized Technology Delivery (digital businesses)

    This year, the key technologies were bucketed into four major themes.

    • Emergent AI represents the technologies that increase workforce productivity and differentiation from competitors.  The hallmark technology of this theme is Generative AI, but another exciting one is AI Simulation – where environments and people can be replicated virtually to run simulations and ask questions.  Imagine being able to create a digital replica of yourself (or a specialist in different disciplines) to bounce ideas off of … or to create a virtual advisory board to help process tough issues or test the response to various situations, opportunities, or challenges.
    • Developer Experience (DevX) is precisely what it sounds like.  Enhancing the developer suite of technologies not only enhances your engineering team but also helps attract and retain high-level employees.  Value Stream Management Platforms (VSMP) is a good example of this.  VSMP is intended to optimize product delivery from end to end. 
    • Pervasive Cloud focuses on how cloud computing is evolving.  This theme is also focused on creating an end-to-end use case.  In an ideal world, this enables easy and automated operational scaling, lots of cloud-native tools, and stability improvements.  A sample technology under this umbrella would be WebAssembly, a lightweight virtual machine and binary code format that would enable secure, high-performance applications on your web pages. 
    • Last but not least, we have Human-Centric Security and Privacy.  In response to growing security concerns, this theme recognizes the pressure companies face to create cultures and systems that value and protect security.  AI Trust, risk, and security management (AI TRiSM) is the culmination of this effort and represents a holistic approach to governance, reliability, efficacy, and more.  This will be an important frontier to develop as we innovate faster. 

    Last year, the main focus was on the spread of emerging technologies.  Last year’s themes focused on the ubiquity of AI in all facets of life – and the increasing immersiveness of these technologies. 

    This year, the focus seems to be on responding to that increasing ubiquity.  It’s about building systems that help adopt these new technologies efficiently … while also protecting yourself from making mistakes at lightspeed. 

    Of course, I’m always most interested in the intersection of AI and other spaces.  Last year, AI became a lighthouse for businesses to work toward.  It’s continued to shine a light this year.  In my opinion, this points towards the increasing maturity and adoption of AI.  The opportunity cost of adopting AI into your business is continuing to decrease.

    Meanwhile, these systems are also becoming more autonomic, self-managing, and self-learning.  I’m excited to see Gartner emphasizing what this does for humans – not what it takes away from them.  Remember, the heart of artificial intelligence is human – and it continues to free us up to be more human.  

     

    The Heartbeat of AI is Still Human_GapingVoid

    As we reach new echelons of AI, you’ll likely see increasing examples of over-hype and short-term failures.  You often miss a rung on the ladder as you reach for new heights, but it doesn’t mean you should stop climbing.  More importantly, it doesn’t mean failure or even a lack of progress.  Challenges and practical realities act as force functions that forge better, more robust, resilient, and adaptable solutions that do what you want (or something better).  It just takes longer than you initially wanted or hoped.

    To paraphrase a quote I have up on the wall in my office from Rudiger Dornbusch … Things often take longer to happen than you think they will, and then they happen faster than you thought they could. 

    Many of these technologies have been hyped for years – but the hype cycle differs from the adoption cycle.  We often overestimate what we can do in a year and underestimate what we can do in ten years. 

    I say it often … we live in interesting times!

    Which technologies do you think will survive the hype?

    Let me know what you think.

    Onwards!

  • Humanizing The Exceptional

    How automated is too automated? 

    “To speak to a representative, say … representative …. “ 

    “Representative.” 

    “Sorry I didn’t catch that … would you like for me to repeat the options menu?” 

    “NO” 

    “Sorry I didn’t catch that … please state wh…” 

    “REPRESENTATIVE” 

    “Sorry, all of our representatives are busy helping others at the moment … Goodbye.” 

    *CALL ENDS* 

     

    How many of us have been in this scenario when on the phone with an airline, insurance company, or any other automated call center?

    Where are the people?  Why can’t I speak to a human?  

    RoboCallers Vs

     

    One of my son’s few memories of my Dad involved listening to him going through a scenario like this with a late 1990s version of an auto-attendant.  It was funny.  My Dad became increasingly incensed that he couldn’t get to an actual human being.  It devolved into: “Shut up!  Stop talking!  I’ll give you $50 if you let me talk with a real person.” And it went downhill from there.

    The reality is that despite these systems being frustrating, they save companies time, money, and resources.  And, in an ideal world, they streamline callers into organized categories, making for a more efficient experience.  They’re clearly working on some level because you’re seeing increased adoption of A.I. chatbots and digital support systems. 

    For what it’s worth, I predict that AI-enabled chatbots are about to be huge!  The evolution of this technology is going to take the place of people in marketing, sales, consulting, coaching, and even therapy.

    But does the efficiency or effectiveness it creates justify the lack of human connection?  Why did so many of the legacy call systems get rated so poorly?

    I came across an article highlighting a trendy new restaurant in Venice, Italy.  They serve the best dishes from several popular restaurants from across the city!  They must have a massive kitchen and extensive staff to take on such a task, right?  Wrong.  This restaurant is fully automated; you order and receive food via … vending machines. 

    My first reaction was this … the convenience is fantastic, but you lose so much of the community and human interaction that you enjoy when going to a traditional restaurant.  As I continued to read, however, the article explained that in order to “humanize” the restaurant, it is used as a meeting place for food tastings, community gatherings, and question-and-answer sessions. 

    Humanity and automation merged beautifully.   

    Semi-Automated Often Beats Fully Automated  

    Systemize the predictable so you can humanize the exceptional

    — Isadore Sharp, Four Seasons

    Earlier, I mentioned automated call centers, and how frustrating they can be.  I’ve come in contact with several who have found a great balance in how they automate their system.  

    Often, the automated answers allow calls to be organized before reaching their intended destination or to answer frequently asked questions.  Either way, it reduces the need to transfer calls to find the correct department or gets the caller the information they need without tying up phone lines and wasting their and the receptionists’ time with basic questions.  

    “There’s a lot of automation that can happen that isn’t a replacement of humans, but of mind-numbing behavior.”

    — Stewart Butterfield

    This quote highlights the point of automation!  Expedite the menial tasks, which in turn frees up the people working to provide a far more attentive experience.   

     

    The Heartbeat of AI is Still Human_GapingVoid

    Humans tend to look for ways to increase efficiency in all aspects of their world.  But we are social creatures, craving meaningful connection and community.  Therefore, the human element will not only persist but remain vital.

  • Social Media Is Changing Everything … 10+ Years Later

    In 2009, I wrote an article highlighting the audacious amount of texts and data my then-16-year-old son was using compared to the rest of the family … It's funny to look back on.

    Here is an excerpt from that post. 

    _______

    My son won't use e-mail the way I did. So how will people communicate and collaborate in the next wave of communications?

    091019 Getson Family 240p

     Here is a peek into the difference that is taking hold.  I was looking at recent phone use.  The numbers you are about to see are from the first 20 days of our current billing cycle.

    • My wife, Jennifer, has used 21 text messages and 38 MB of data.
    • I have used 120 text messages and 29 MB of data.
    • My son, at college, used 420 text messages, and is on a WiFi campus so doesn't use 3G data.
    • My son, in high school, used 5,798 text messages and 472 MB of data.

    How can that be?  That level of emotional sluttiness makes porn seem downright wholesome. 

    But, of course, that isn't how he sees it.  He is holding many conversations at once.  Some are social; some are about the logistics of who, what, when, where and why … some are even about homework.  Yet, most don't use full sentences, let alone paragraphs.  There is near instant gratification.  And, the next generation of business people will consider this normal.

    Is social media a fad? Or is it the biggest shift since the Industrial Revolution?

    _______

    Fourteen years later, I send more text messages than my son, and we both use multiples of that amount of data a month. 

    I also remember scoffing at my son having his phone on hand at meetings – that it was a distraction. And yet, here I am, phone on my desk at meetings. But, e-mail is just as important as it was in 2009. 

    One of the things we miss in discussions about generations is that the trends of the younger generation are often adopted by the previous – even if they're not as tech literate. 

    Technology changes cultures for better or worse … but it's hard to look at the impact of social media and believe it hasn't been deleterious. 

    The promise and peril of technology! 

  • “Is The Stock Market Going To Crash?!”

    I usually don't concern myself with looking at stock charts anymore, but I still like paying attention to what people say about them … 

    Recently, I saw this image posted.

    via r/StockMarket

    So, will the market attract buyers … or sellers?

    Personally, I expect volatility.  

    Why?  

    Because markets exist to trade, and it tends to generate those trades by 'shaking' the weak holders.  

    A big move up here will trigger a lot of buying (and short-covering by weak bears).  

    While a big move down will trigger a lot of selling (as Bulls fear the long-anticipated next leg down).

    I also recognize that we're entering an election year. So there's still time for a correction before a sustained rally.

    Here's the problem.  Even though I still enjoy the mental exercise of going through these scenarios, I recognize how little value they add.

    You can look at any point in history and find articles and charts that tell you the world is ending, or that the fear is overblown and we're going to get to the other side, and there's a pot of gold waiting for you. 

    It's easy to use charts to explain what happened. It is a lot harder to use charts to predict what is about to happen.

    I still keep my ear to the ground because I like having a feeling for the sentiment around both experienced investors and your average Joe.  Conventional trading wisdom says that crowds are usually wrong at turning points.  That doesn't mean they are always wrong (still, it makes sense to notice when Smart Money clearly disagrees). 

    Knowing these things doesn't make any difference in the decisions I make about trading … because I let the computer make those decisions.  Nonetheless, it makes me feel better. 

    So, is the stock market going to crash?  Who knows?  Anyone that pretends they know is full of it.  There are too many factors at play to decide whether the market is going to crash.

    From my perspective, it doesn't make sense to try to predict something random.

    On the other hand, if you don't know what your edge is … you don't have one.

    Algorithmic trading is about creating more ways to win. 

    To be effective, algorithmic trading is about switching from lower expectancy positions to higher expectancy positions.

    In general, here is how that works.

    Understand that you can make trading decisions based on market patterns, trends, sentiment, statistics, behavioral economics, game theory, reversion to the mean, or countless other methods.  Further, realize that no technique works all the time … but there is always a technique that works (even if that means getting out of the market). 

    There is an advantage in tracking each of these to gain a perspective of perspectives (in order to identify an advantage or opportunity in real-time as it happens). For example, you could measure and calculate a blend of your confidence in an algorithm or technique and how it is performing.  This creates the opportunity to switch into and out of various techniques and markets as things change.

    Having an edge in trading often comes down to information asymmetry. This means knowing more, faster, better, or different things than what others are using to make decisions.

    Hope that helps.

  • Understanding Industrial Revolutions

    Last week, I talked about the potential for room-temperature superconductors. 

    In that discussion, I noted that we are now in the 4th Industrial Revolution, in part because of better and more connected chips (semiconductors).

    I want to dive back into Industrial Revolutions because we're at an inflection point in AI and chips. 

    A Look at Industrial Revolutions

    The Industrial Revolution has two phases: one material, the other social; one concerning the making of things, the other concerning the making of men. - Charles A. Beard

    There are several turning points in our history where the world changed forever.  Former paradigms and realities became relics of a bygone era. 

    Tomorrow's workforce will require different skills and face different challenges than we do today.  You can consider this the Fourth Industrial Revolution.  Compare today's changes to our previous industrial revolutions. 

    Each revolution shared multiple similarities.  They were disruptive.  They were centered on technological innovation.  They created concatenating socio-cultural impacts.

    Since most of us remember the third revolution, let's spend some time on that. 

    Here's a map of the entire "internet" in 1973. 

    6a00e5502e47b2883301bb096809ce970d-600wi

    Reddit via @WorkerGnome.

    Most of us didn't use the internet at this point, but you probably remember Web1 (static HTML pages, a 5-minute download to view a 3Mb picture, and of course … waiting for a website to load over the dialup connection before you could read it).  It was still amazing!

    Then, Web 2.0 came, and so did everything we now associate with the internet; Facebook, YouTube, ubiquitous porn sites, and Google.  But, with Web 2.0 also came user tracking and advertising, which meant that we became the "product."  Remember, you're not the customers of those platforms – advertisers are.  And if you're not the customer, you're the product.  And when you're not the customer, there's no reason for the platforms not to censor what you see, hear, or experience to control the narrative. 

    Now we're seeing a focus on the Blockchain, and its reliant technologies, with Web3.

    Where we are and where we are going

    I believe that, if managed well, the Fourth Industrial Revolution can bring a new cultural renaissance, which will make us feel part of something much larger than ourselves: a true global civilization. I believe the changes that will sweep through society can provide a more inclusive, sustainable and harmonious society. But it will not come easily. – Klaus Schwab

    With Web3, A.I., better chips, and more, we're at the apex of another inflection point.  As a result, the game is changing, as are the rules, the players, and what it means to win. 

    At significant transition points, it is easy to see fear, resistance, and a push to keep things the same.  Yet, time marches on.  Much of the pain felt during these transitions occurs because people hesitate to adapt.  As a result, the wave crashes on them instead of them riding it to safety. 

    Robots can do many things, but they've yet to match humanity's creativity and emotional insight.  As automation spreads to more jobs, the need for management, creativity, and decision-making won't go anywhere … data and analytics might augment them, but they won't disappear. 

    Our uniqueness and flexibility rightly protect our usefulness.  AI and automation free us up to be our best selves and to explore new possibilities. 

    All of these changes bring about a decentralization of power – and a new set of freedoms for people – including the ability to discover and adopt capabilities in less time and with less effort.  But, to bring it back to my skepticism again, there are a lot of roadblocks, interferences, and time between now and the consumer being in control again. 

    We can shorten that distance, though.  This reminds me of a quote by Elon Musk: 

    Stop being patient and start asking yourself, how do I accomplish my 10 year plan in 6 months? You will probably fail but you will be a lot further ahead than the person who simply accepted it was going to take 10 years."

    One of an entrepreneur's most powerful capabilities is the ability to shorten time – and get more done than others thought possible. 

    Onwards!

  • 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. 

    Lk-99-superconductorHyun-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. 

    Pink and Purple Sporty Gradient Fitness YouTube Thumbnail (1)

    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. 

    6a00e5502e47b28833026bdeacdf44200c-550wi

    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. 

    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. 

    Quantum Computer

    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!