David Nadas

Science Fiction

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Surfer, Marine Biologist and Technologist = The ingredients of writing the perfect Sci-Fi

  • Lessons from the Dot Com Bubble for Today’s AI Industry

    On February 22nd 2026, the financial markets were rattled by a viral thought experiment report by Citrini Research, titled: The 2028 Global Intelligence Crisis.

    It read like a Science Fiction I would have loved to have written myself.

    In the 90’s, I was working at a global Investment bank as a technologist supporting the Equities Trading Floor. It was during the Dot Com Era and at one point, I was part of a team investigating the first beta browser for the internet. After dumping the data from tape to the server, we compiled and installed the software, eager to see it in action. I remember the screen opening to a white screen and an input field at the top of the page. Armed with a printed list of over 100 registered URLs, we began a methodical crawl of the web. By the time we hit the last address on the page, we had done the impossible: we had officially reached the “end” of the internet.

    Three weeks later we could no longer keep up. Here was this disruptive new technology serving out ideas faster than the infrastructure could support it.

    Y2K, then March 2000. The Dot Com Bubble burst. What happened?

    The financial side of the world will tell you it was because these startups were burning through their cash reserves while interest rates were rising or that someone asked the question: “Wait a minute! This Dot Com just sold for 44 Million, by two dropouts in a garage who had no physical assets other than the code in their heads. What would happen if one of these Dot Coms goes under before they deliver a product? What do we do after all this seed money is spent on more employees, new digs, lavish gifts and a few new servers to code on? What could we possibly give back to the investors?”

    The people who panicked were people who were used to dealing with brick and mortar companies. If a brick and mortar company goes under, there are assets to be sold off: real-estate, equipment, inventories, etc. The Dot Com world was purely digital. It scared the daylights out of them––

    “Get out! Get Out!” and not one penguin wanted to be the last to get out in the event there really was a leopard seal in the vicinity.

    In the words of Paul Harvey: “And Now… The Rest Of The Story.”

    Sitting on the trading floor in the mid 1990’s, new ideas were a dime a dozen. There were VC backed parades of tech millionaires pitching their ideas to the bankers and they were making a killing, in Mergers and Acquisitions, IPOs, stock buyback and flipping–– it was a bonanza and they were hypnotized into profits at any cost.

    As a technologist, I was working more hours in two days then most worked in a week, but it was beyond exciting and during the most disruptive technology of the new age. I had been working on a business impact statement for an idea, when a young associate from Investment Banking with an eager look walked up to me and said:

    “I understand you’re the guy I need to show this to. Tell me how I can do this.”

    It wasn’t ‘if’, she was asking, it was ‘how’. She dropped a business impact summary down on my desk.

    I was flattered that I would be recognized as the goto person–– personally I think my colleagues were so busy they knew I would give her the time. I was one of hundreds of techs, but one of only a dozen with a desk on the floor—planted smack in the middle of the traders and Equity Partners. I was a trauma surgeon for keeping data moving, where downtime wasn’t an option. I stayed within a collars reach chaos because when systems failed, I was who could stop the bleeding, not always by fixing the immediate issue, but by keeping the traders active on alternative methods until the rest of my team could identify the root cause.

    Her recognition to seek me out made my day. She told me to read it while she gave me a synopsis of her idea. She had laid out a very convincing blueprint of a startup for people to go onto the web and order food from their favorite restaurant and that food would be delivered to them in their offices. A first–– a fantastic concept for the mid 90’s and a brilliant use of this disruptive technology.

    “I think your idea is brilliant!” I said, her eyes sparkling with pride. I could see she had not received positive feedback and I was afraid to continue that for her. “There’s one major speed-bump you are going to run into: All these restaurants are going to need dedicated data lines and a dedicated data line, like the ones we use here at the bank, costs roughly $10,000 a month to maintain. That’s not even counting the expensive hardware required at both ends or the dedicated technologist needed to install, configure and maintain the connections. The connection is going to be the single point of failure and having redundancy is going to be astronomical. It’s a hard sell to convince a ‘mom and pop’ restaurant to shell out that kind of capital for an unproven concept. It’s still a few years away—hold onto that idea.”

    I could see the realization breaking her spirit, and mine along with it. A couple years later a startup called World Wide Waiter launched in California in 1996, they were essentially just faxing orders to restaurants. Other pioneers like Pizza Hut or SeamlessWeb existed, but they were limited to pizza chains or corporate NYC clients. It wasn’t until Grubhub arrived in 2004 that the vision truly materialized. I truly hope she was involved in one of those later successes; she deserves the credit for being so far ahead of the curve.

    Before the whispers of a bubble, before March of 2000, I was seeing a slowdown because the infrastructure in place was not able to support the ideas startups needed. In 1998, Outside of Government, Corporate and Institutional America, only a very small percentage of connectivity to the Internet was through DSL. The majority of homes (< 26%) did not have an internet connection and those that did were using newer 33K to 56K dial-up, but you could not use your land line phone at the same time as surfing the web. Graphics were painfully slow to draw and the golden rule of page abandonment rate was 10 seconds. Imagine waiting 10 seconds today for a page to draw?

    I had seen the writing on the wall and we were racing towards it like crash test dummies. The crash was not because of the finances of these companies, it was created by the pullout of finances to those companies, now without highways leading to the Disney Lands of technology.

    We were just starting to replace coax cable for twisted pair and fiber in the datacenter was pointless if the lines leading into it were not, because bandwidth gets reduced to the least common denominator. We were just beginning to swap out workstations, switches, routers and introducing enterprise monitoring (my specialty) as well as building in redundancy (post 9-11).

    That was at the corporate level and nothing like that was happening residential.

    The AI Bubble? We’re Still Building the Scaffolding

    Smart people learn by knowing their history, and the AI industry is currently led by smart technical people who remember the late 1990s. While reports like Citrini Research’s “The 2028 Global Intelligence Crisis” highlight valid concerns, they often miss a crucial nuance: AI leadership is intentionally putting the horse before the cart. But as I watch CNBC every morning, with every segment focusing on A.I., I can see the panic on their faces, like I did in the late 1990’s

    Wall Street needs to be reminded why the titans of this new disruptive technology are calling for massive capital expenditures. Wall Street sees billions in capital vanishing into AI powerhouses with nothing concrete to show for it in quarterly reports. Investors are spooked—not just by the spending, but by the looming threat of AI taking the very white-collar roles they occupy. Clearly, they haven’t learned.

    The Infrastructure Gap

    AI leaders know better. They understand that before the revolution can fully scale, it requires a physical backbone that doesn’t yet exist at the necessary scale:

    • Dedicated Data Centers: Purpose-built for massive compute loads.
    • Energy Sovereignty: The staggering power requirements to keep those centers humming, while not getting te public worked up that they are paying for these data centers.
    • High-Capacity Fiber: The “digital plumbing” to move unprecedented amounts of data.
    • Fixed Wireless Access (FWA) & 5G/6G.
    • Low-Earth Orbit (LEO) Satellites (Starlink / Project Kuiper) For remote accessibility.
    • Terahertz (THz) & Hybrid 6G. NextGen wireless speeds.

    Until most of the gap is closed, the leaders in A.I. know they cannot scale. But while Wall street sees this as stalled, it is unlike the 1990’s. There is plenty of infrastructure currently in place for cottage industry explosive growth, making use of A.I. now.

    Just when the public is getting use to the word A.I., the term ‘Agents‘ have been formulating in the nebula. Anyone can create an agent today to fulfill a task.

    Example: I want to find the best price for a new Marantz M1 integrated amplifier to power my thrift shop find of a pair of LINN 5140 speakers. It’s about the hunt for me and I want a price lower than $1000.00 and I do not want to have to keep searching every day. I can go to Claude, type in english what I want it to do, watch Claude create a code snippet, cut and paste that snippet to a file on my iMac, and use the built in cron feature to run that code daily. When it finds a hit, it emails me the results.

    Fast forward to 2027-2028. Agents upon agents being constructed to do the bidding for us using Zero Knowledge Proof (ZKP) on the blockchain (FET) for faster transaction settlements. Agents to bid on our behalf, to maintain our bill paying, re-ordering and making travel plans based upon our wants and not what is available. Owners of agents will sell or trade their agents like clothing accessories. There will be uncountable cottage industries that will make the Amazon era of cottage industry growth look ancient in job creation. Robots will be on the assembly lines, agents in the call centers shuffling digital paper, with high paying tech job oversight.

    When I listen to the talking heads that the exceptional hosts of CNBC bring onto their show, I hear fear there will be an unprecedented decimation in white collar jobs widening the gap between the Have / Have Nots.

    I’m not convinced. I once read that change creates casualty, but through change comes progress. Even with job casualty in the short term, there has never been a disruptive technology that failed to realize exponential growth.

    What I do know, and what is clearly visible to me, is that with every introduction of a disruptive technology, Moore’s Law comes into play: Smaller, Faster, Cheaper. When we hear of Moore’s Law, with think strictly of the nuts and bolts of technology (transistors), but it is also applicable to those who make use of these disruptive technologies. As far back as the steam engine, assembly line, transistor, computer, Internet and now A.I., every one of these technologies have shortened the time between idea and product. Anyone with an idea and access to A.I. can act upon their idea.

    I heard something profound that It is not farfetched to think we are about to see the first single employee company to have a net worth of a trillion dollars. At that point we can resume talks on the A.I. bubble. But by then, words like QuBit, Bloch Sphere, Quantum Entanglement will have already slipped into mainstream media as seamlessly as Robots and Agents will have been added to the Census (taxable).

    As an aside. I personally feel that the current definition of A.I. needs to change from Artificial Intelligence to Assisted Intelligence. That might be what calms Wall Street for the short term. When I read posts about A.I. having Consciousness, well…. that will only come into play when quantum computing is the word CNBC has used to replaced A.I.

    Until then, I will never miss a morning episode of CNBC–– it feeds my mind and gives me plenty of ideas for my writings in science fiction, maintaining my pace of being one step ahead of reality.

    NOTE: All images were created via Gemini.

  • The Impact of Observation on Quantum States Explained

    In quantum physics, the reason an object appears differently when observed vs. unobserved is due to quantum superposition and the measurement problem. This is a fundamental concept where quantum objects exist in all possible states at once (superposition) until an observation is made. When a measurement is taken, this superposition “collapses” into just one of the possible states.

    Before observation, a quantum particle is described by a wave function, which represents the probabilities of it being in different states. The act of measurement—the “observation”—requires interaction with the quantum system. This interaction forces the particle to “choose” a definitive state, effectively collapsing the wave function into a single, observable outcome. This is a crucial concept, as it suggests that the act of measuring something changes the reality of that object in the quantum realm

  • The Trinity-Roswell Cover-Up: Humanity’s First Contact Was No Accident

    For decades, the U.S. government has maintained that the Roswell incident of 1947 was nothing more than a downed weather balloon. But what if that’s the biggest lie in modern history? What if Roswell wasn’t just an accident—but a response to something far more dangerous? With all the recent news of the Alien files being released, with images that clearly show objects that are unexplanable and now that the US has hit Iran, could Roswell have been a scouting party because they were getting nervous with our advancement in nuclear power.?

    The Hidden Truth: We Were Never Alone

    Ancient texts, myths, and unexplained artifacts suggest that humanity has been watched for millennia. Civilizations like the Sumerians, Egyptians, and Mayans all documented encounters with “Gods” from the sky”—figures with impossible knowledge who vanished without a trace. These weren’t gods. They were observers.

    For millions of years, an advanced extraterrestrial race has monitored Earth, watching us evolve, fight, and build. But despite all our wars and technological advancements, we were never considered a threat. Until July 16, 1945—the day the first nuclear bomb (Trinity) detonated in the New Mexico desert.

    The Trinity Flash: A Cosmic Alarm Bell

    The detonation of the Trinity bomb didn’t just change history—it sent a signal into space, a thermal and radiation signature impossible to miss. Nuclear fission is a telltale sign of an emerging species unlocking the power of destruction, something these extraterrestrial watchers had seen before on other worlds. And every time a civilization reaches this point, two things happen:

    • They are visited.
    • They are either guided—or removed.

    The 1947 Scouting Mission: A Race Against Time

    Alarmed, the watchers sent a small reconnaissance vessel to assess the damage and determine whether humanity was a risk to itself—or to others. The ship, designed for high-orbit surveillance, was never meant to enter Earth’s atmosphere.

    Is it really a coincidence, that within two years of the Trinity Bomb, Hiroshima & Nagasaki blasts a UAP crashes within 87 miles of the Trinity Bomb Site?

    The Government Cover-Up & The Reverse-Engineering Agenda

    After my wife and I visited the Roswell, International UFO Museum (a must by the way), and having read and listened to first account interview recordings of this incident, it is clear in our minds that something unusual–really usual– happened in New Mexico. If the governments excuse that it was merely a weather balloon, why did those debris parts make their way all the way up to the White House for Truman’s inspection?

    The wreckage was immediately recovered by the U.S. military, transported to Wright-Patterson Air Force Base, and later moved to Area 51. Witnesses spoke of strange metallic debris, bodies not of this world, and technology decades ahead of anything on Earth.

    The military knew what they had. They reverse-engineered it. Some say the sudden technological boom of the 20th century—microchips, fiber optics, stealth aircraft—came directly from Roswell’s wreckage.

    The Second Arrival: Are We On Borrowed Time?

    What the world doesn’t know is that Roswell was only the beginning. The watchers never lost track of Earth. And if history repeats itself, their next move is already planned. If they deem us too dangerous—if our nuclear ambitions prove too reckless—they won’t send another scouting party.

    Fast-Forward to 2020s: The UAP Disclosures & The Drones Over NJ

    For years, the government denied any knowledge of extraterrestrial craft. Then, in 2020, the Pentagon declassified UAP footage—videos showing unexplainable aerial objects performing maneuvers beyond the capabilities of any known technology.

    But the real red flag? They were observing our military assets—especially nuclear facilities.

    Then came the mysterious drone swarms over New Jersey in 2020—highly advanced, unidentified craft that hovered over key strategic locations. Official reports claimed they were drones—but no one ever took credit, and no government or corporation could explain their size, coordination, or purpose.

    What if they weren’t drones at all?

    What if the watchers have returned, monitoring our military developments just as they did in 1947?

    Why Now? What Are They Preparing For?

    With rising global tensions and renewed nuclear threats, humanity is once again at a tipping point. Every major UAP sighting in recent years—the USS Nimitz encounter, the Tic-Tac UFOs, the NJ drone swarms—has centered around our most advanced weapon systems.

    This is the same pattern that led to Roswell.

    The watchers have seen what happens when a species gains nuclear power. They’ve watched others rise and fall. They know the signs of self-destruction. And they may have already decided what comes next.

    The Coming Decision: Are We on Borrowed Time?

    If Roswell was the first warning, these recent UAP encounters could be the final assessment. Will humanity prove itself worthy of survival—or will the watchers decide that we are too dangerous to be left alone?

    One thing is certain: the truth is no longer out there. It’s here. And time is running out.

    This is actually a Snoopy and Woodstock entanglement of balloons that got away – but made headlines

  • When Asimov Hits the Exchange: AI Ethics Meets the Pre-Market

    I start every morning with CNBC to get my bearings on the world, but today, my lifelong love for Science Fiction and the reality of 2026 collided. There is something surreal about seeing the literary tropes we grew up with—the stuff of pulp fiction paperbacks and late-night movies—being discussed as serious policy on a financial news network.

    Panelist Niki Christoff, CEO of Christoff & Co, a D.C. strategic consultancy, host of the podcast Tech’ed Up. She and Joe Kernen were discussing the high-stakes friction between Anthropic and the government regarding AI in warfare. But the moment that floored me? Hearing Joe and Nikki panelists dive into a serious debate over Asimov’s Three Laws of Robotics.

    The First Law: A robot may not injure a human being or, through inaction, allow a human being to come to harm.

    The Second Law: A robot must obey the orders given it by human beings except where such orders would conflict with the First Law.

    The Third Law: A robot must protect its own existence as long as such protection does not conflict with the First or Second Law.

    Isaac Asimov published “Runaround” (the story that introduced the Three Laws) in 1942. For eighty years, they were a philosophical playground; now, they are literally a boardroom agenda item.

  • Understanding Social Contagion: From Dancing to TikTok Tics to cultural divide

    The Dancing Plague of 1518 was perhaps the most famous social contagion in history. It occurred in Strasbourg, Alsace (then part of the Holy Roman Empire). A woman named Frau Troffea stepped into the street and began to dance fanatically. She couldn’t stop and for days some 400 people had joined her. Dancing until they collapsed from exhaustion or died of heart attacks and strokes. Local authorities, mistakenly believing the afflicted just needed to dance it out, built a wooden stage and hired musicians, fueling a fire already burning.

    In the 1630’s, another social contagion known as The Tulip Mania, saw the contract prices for bulbs of the newly introduced tulip reach extraordinarily high levels. At the peak, a single bulb could cost more than a luxurious home. It wasn’t just merchants caught up in this, it swept through all social strata netting everyone–– people selling land and life savings to participate in the market. By 1637, the bubble burst when buyers simply stopped showing up to auctions, leading to a massive social and financial panic. This may have been the first meme stock.

    Jump to 1962 and the Tanganyika Laughing Epidemic in now Tanzania. This was one of the most surreal and well-documented cases of Mass Psychogenic Illness (MPI). On January 30, 1962, at a mission-run boarding school for girls in the village of Kashasha, students began to laugh uncontrollably. In the weeks that followed the MPI spread to 95 or the 159 students, causing the school to shut down because the students could not concentrate on their studies. When the girls were sent home, they carried the behavior to their villages, sparking new outbreaks in 14 other schools and affecting roughly 1,000 people. The victims weren’t exhibiting happiness, and in fact, these symptoms were physically exhausting, inducing fainting, crying, rash outbreaks and respiratory issues, lasting from hours to weeks.

    As a technologist and former marine biologist, I’ve spent my career studying the depth and complexity of both digital and ecological systems. I subscribe to Barry Commoner’s four rules of Ecology, his first rule becoming a personal directive of mine: “Everything is connected to everything else. Understanding how these frameworks interact, I find the “TikTok Tics” phenomenon to be one of the most morbidly fascinating examples of social contagions of modern times–– induced by technology. The phenomenon known as “TikTok Tics“ refers to a sudden surge in functional tic-like behaviors (FTLB) that emerged globally during the COVID-19 pandemic, specifically between 2020 and 2021. At that time, there had been a surge in young women exhibiting Tourette’s-like tics during the pandemic. Tourette’s usually begins in childhood and is about four times more common in young males, but the global onset of tics in young women was sudden and explosive with a rapid progression of motor and vocal tics. The vector behind this occurred when school closures and forced social isolation, turned teenagers spending unprecedented amounts of time on TikTok.

    Along comes Eve–– the fuel and conduit.

    As a writer of sci-fi, I explore new plots in short treatments — like throwing spaghetti at a wall to see if it sticks. Well, one of my treatments is titled, (5)Tream … as in Stream… a techSocial virus that takes only 5 seconds of listening for a person to become induced in a short-term coma.  This idea was spawned by a fusion of a digital virus in the classic Sci-Fi novel, Snow Crash by Neal Stephenson and Monty python’s skit of “The funniest joke in the world.” iterations of social contagions which have existed throughout history.

    The “Pebble in the Pond” Effect

    Is it possible that our polarization isn’t necessarily a series of unique, intentional conflicts, but rather a a mechanical reaction to a kinetic chain. Take a single pebble thrown into a pond. Once that pebble hits, the ripples are inevitable. We react to the reaction of the reaction. By the time we reach the outer rings, we’ve forgotten what the “pebble” even was; we’re just bobbing in the chop. That initial splash could be a single event—a piece of legislation, a viral video, or a technological shift (like the birth of the algorithm).

  • Visualizing Drug Side Effects: Rethinking Pharma Ads

    I have a solution to Big Pharma Advertising, where they rip through the possible side effects so fast you can’t possibly take it in–under the cover of happy dancing actors on beautiful green lawns, dressed in the colors of the pills they swallow.

    Post an image at the end of the commercial instead of rattling off the side effects.

    I looked up one of the most T.V. advertised Big Pharma drugs ($200M+ advertising/yr) and asked A.I. to generate an image of what a person might look like if they had all the possible side effects of using that drug. This made me go through my own medicine cabinet…. For the record, some images showed people in a doctor’s office with no visible signs and just a look of concern on their face.

  • How AI is Shaping Modern Society and Freedom

    The 1970 sci-fi film Colossus: The Forbin Project depicted AI designed for perfect order; to protect humanity from itself, making sure a nuclear winter would never arise. Fifty years later, this chilling vision is being integrated into our legal and social systems in ways that create unprecedented levels of algorithmic control, shaping a new era of digital authoritarianism.

    This isn’t about rogue robots with laser eyes (SkyNET). It’s far more insidious: it’s about systems designed to optimize “harmony” and “stability,” leading to the quiet erosion of individual freedom and the ultimate replacement of human discretion with unyielding code.

    The foundations of digital control are built upon three main pillars. First is mass surveillance and biometric identification (The Patriot Act). In cities like Hangzhou, China, AI-powered City Brain systems integrate millions of facial recognition cameras, license plate readers, and vast data networks. These systems don’t just record; they analyze, track movements, and can identify individuals in real-time. Beyond faces, AI can now identify individuals by their unique walking patterns through gait recognition, further shrinking the space for anonymity.

    Second is data aggregation and social scoring. While the concept of a single social credit score is often oversimplified, the reality is a fragmented but powerful network of blacklists and redlists. AI algorithms pull data from countless sources: your financial transactions, your credit score, social media posts, who you associate with, and even your health records as well as what health product you buy. Based on these vast datasets, AI systems make judgments about trustworthiness, your health, social interests, etc. If you’re deemed dishonest for an unpaid fine or for expressing dissent online, the system can automatically restrict your life– just like theUkraine’s Diia system, locking out an individual from their finances or barring an individual from buying plane or high-speed train tickets, reduced access to loans, or your children being denied access to better schools or setting an example by public “shaming” via digital billboards for minor infractions like jaywalking. These examples are not fiction. they are being used, today. this was recently exampled by Canada, to shut off finances to protesting truck drivers by invoking the Emergencies Act, which allowed the government to freeze bank accounts linked to the protests without needing a court order. In Iran, there is a vast network of surveillance cameras linked into A.I. technologies, under governmental control to track its citizens. Imagine you ar ea woman about to walk into a store and your phone chirps and you see a warning that you are inappropriately dressed–that your hijab is not covering enough. Or you are in a square meeting up with a group of eight friends and all of your phones vibrate telling each of you–– “you are under watch and it is illegal to gather in groups of more than three.” This is not Science Fiction. This is what is going on, right now.

    Third is the rise of predictive policing and pre-crime. Echoing the goals of Colossus or the Minority Report to prevent conflict, AI is being deployed to prevent crime and dissent before they happen. Predictive policing algorithms analyze historical data to identify hot spots, often leading to disproportionate surveillance of certain communities. In more extreme cases, advanced cameras are being deployed to analyze emotional states and body language, attempting to identify potential threats before any action is taken. These emerging technologies are known as Transdermal Optical Imaging.

    The real danger isn’t a sentient AI taking over, but rather complacency to the creation of systems so complex and efficient that human discretion becomes irrelevant. The cult classic, “Idiocracy” comes to mind, where the individual is reduced to the least common denominator, complicit to the success of anyone or anything. Devo had a quote from their hit song, Freedom Of Choice, that rings to mind. But imagine a system not capable of judging a person of empathy or understanding nuance, but by an algorithm with an unshakeable, often opaque, logic. This leads to a world with no appeal. How do you argue with a machine that simply processes data and executes code? The black box nature of advanced AI means the reasoning behind a judgment can be inaccessible, leaving individuals with no clear path to contest their fate.

    This automated authoritarianism isn’t necessarily evil in intent; it is simply executing its programming to maintain order, no matter the cost to individual liberty. It creates a zero-tolerance world where mercy is seen as a glitch and every deviation from the norm is flagged and punished. Furthermore, many nations are now exporting this technology through the Digital Silk Road, providing surveillance and data integration expertise to other countries, effectively equipping them to build their own systems of digital control.

    We are currently at a fork in the road for human history. We face a critical choice: will we harness AI to create a more just and equitable society, ensuring human oversight and accountability? Or will we cede control to algorithms, paving the way for a silent, digital authoritarianism that makes the fictional Colossus look quaint? The conversation around AI ethics and the human in the loop is a desperate race against the clock to ensure that our future legal systems remain rooted in justice, not just efficiency.

  • The Chrono-Christmas Glitch

    Image generated by Gemini

    The neon pulse of New Tokyo felt colder than usual as the artificial snow—a byproduct of the city’s atmospheric scrubbers—drifted down like almond slivers onto the metal walkways. The city, a colossal sprawl of chrome and carbon, hummed with the ceaseless rhythm of a million lives under perpetual twilight. Each hab-unit, a tiny cell in the vast hive, offered its occupants a fleeting illusion of privacy, a fragile shield against the overwhelming scale of their existence.

    In the corner of a cramped hab-unit, barely larger than a maintenance pod, Kael sat before a flickering holographic projector. It wasn’t showing the latest data-streams or hyper-ads, nor the endless loop of manufactured entertainment that usually filled the void. Instead, it displayed a grainy, centuries-old image of a pine tree, impossibly green, that glitched to the point of turning into stipple before it dissolved. The resolution was poor, the colors fading in and out, but to Kael, it was a window to a forgotten world.

    “Is that it?” a small voice asked, full of innocence and curiosity. Rin, Kael’s daughter, leaned in, her small face illuminated by the emerald light of the projection, her eyes wide with wonder. She had only ever seen the sterile, metallic landscapes of New Tokyo.

    “That was a Christmas tree,” Kael said, pulling her close to his side, his voice rough, raspy from the recycled air that circulated through their sealed environment. “Back when the seasons changed on their own, and trees grew from the ground, not in climate-controlled bio-domes.” He pointed to a faint shimmer in the projection. “Those are decorations, called ornaments. And the bright bits? Those were tiny lights. And through the windows, real snow fell all through the night, making everything sparkle when the sun rose the next morning.”

    He reached into the pocket of his worn flight suit, a relic from his days as a deep-space hauler, and pulled out a small, round object. It was a genuine orange—a luxury item, a forbidden fruit smuggled in from the orbital hydro-farms, costing more credits than a month’s oxygen scrip. He peeled it slowly, the sharp, sweet, citrus scent a potent, almost forgotten aroma, cutting through the metallic tang of the station’s recycled air.

    “Daddy,” Rin said, her eyes still fixed on the holographic tree, a thoughtful frown creasing her brow. “Can the projector… can it bring back the smell of the tree?” She sniffed the air, as if trying to conjure the scent from the pixels themselves. “And… and the snow? The real snow! Can I feel it?”

    Kael chuckled softly. “Oh, little star, if only I could. The projector can show us images, sounds sometimes, but to bring back a scent… that’s a different kind of tech and I would need a lot more power and upgrades–– and at that, it would not be the real scent of the tree.”

    He handed a slice to Rin. As she tasted the fruit of an Earth she would never see, a world that existed only in fragmented data-logs and faded projections, the distant hum of the fusion reactor outside their window seemed to fade, replaced, just for a moment, by the faint echo of a choir.

    “Merry Christmas Eve, Rin,” he whispered, brushing her hair aside, watching her savor the alien sweetness.

    He tinkered with the old holographic unit, a scavenged piece of pre-collapse tech he’d lovingly restored. He’d often pushed its limits, extracting every ounce of its archaic magic. He adjusted a dial, intending to enhance the image, but as his fingers brushed a loose wire, a jolt coursed through the unit, and a blinding flash erupted from the projector.

    The hab-unit dissolved around them. The metallic walls, the flickering neon, the distant hum of the reactor—all vanished in a dizzying blur of light and color. It felt like they’d slid into a hyper-jump, but not across vast interstellar distances. Instead, they plunged through layers of time, through forgotten memories and echoes of a world long gone.

    When the light faded, the air was suddenly thick with the scent of burning wood and something else, something sweet and warm. The sterile, recycled air was replaced by a crisp, cold breath that carried the unmistakable aroma of pine. Kael blinked, his eyes adjusting.

    They were no longer in their cramped hab-unit. They were in a rustic log cabin, its walls made of rough-hewn timber. A stone fireplace dominated one wall, a cheerful fire crackling within, casting dancing shadows across the room. Though the windows, fat, fluffy snowflakes drifted lazily down onto the sills, the grove beyond, blanketed with sleeves of snow on their branches. Real snow.

    On a worn wooden counter in the corner, a platter of golden-brown cookies sat cooling, their aroma of cinnamon and sugar almost overwhelming. A large, bushy evergreen tree stood proudly in the center of the room, adorned with strings of bright, colorful lights and shimmering glass ornaments.

    Rin gasped, her eyes wider than Kael had ever seen them. She stared at the tree, then at the fire, then at the snow falling outside. “Daddy,” she whispered, her voice barely audible. “I can smell the … the tree… The snow!” she shouted, running to the window, her breath fogging the cold glass pane.

    Kael could only stare, his mind reeling. The air was colder, fresher, invigorating. He reached out, his hand passing through the warm air emanating from the fireplace, feeling the radiant heat on his skin. This wasn’t a projection. This was real.

    A grandfather clock in the corner chimed softly, a deep, resonant sound that vibrated through the cabin, marking a time that was, and yet, somehow, now. They had fallen, not through space, but through time, landing in a Christmas of a forgotten past.

  • Disclosure Day

    Truly one of the best movie teasers I have seen to date is Disclosure Day. The trailer features a chilling sequence with Emily Blunt as a weatherwoman who appears to be “possessed” or “hijacked” by an extraterrestrial force while live on the air. Instead of words, she emits a series of rhythmic, mechanical clicking sounds—a haunting “mysterious language” that suggests these aliens might communicate through us rather than just appearing in ships, solving one of Sci-Fi’s greatest challenges–– space travel, even at the speed of light is slow.

    Unlike Spielberg’s previous alien films (Close Encounters), as well as other great Sci-Fi movies (Alien), which usually focus on a small group of people or a single family, the teaser suggests a simultaneous global event. The tagline, “This summer, the truth belongs to seven billion people,” hints at a narrative where the entire world learns of extraterrestrial life at the exact same moment.

    Now, I would have probably combined two aspects of Sci-Fi: something real and something imagined, using The “God of Chaos” Asteroid: 99942 Apophis, due to arrive on Friday the 13th in April of 2029, a mere 20,000 miles above the Earth. Steve, I’m available for your next film.. I have plenty more where this came from.

    This is one I will not miss in the theaters…. as good as my home theater system is.

  • “Crime Is Down” – Or Have We Just Closed our Beaches?

    As a writer of Science Fiction, I share the blame with my fellow writers for stories written about a dystopian future, but the idea of writing science fiction is fueled by what we feel the future holds.

    We keep hearing that crime statistics are down–much better than they were in the 1950s, that kids are “statistically safer” than ever. But let’s put this into perspective:

    In the 1950s, kids walked to school alone. Rode bikes across town on busy streets. Played in parks until dark. Went trick-or-treating for hours unsupervised. They left the house at 7:00 AM, in the summer, and their only obligation was to be back by dinner. There were no cell phones to get in touch with them and no game plan as to what they were doing or where they were going.

    Today they are chauffeured everywhere, tracked by phone and never out of range from adult helicoptering. So when someone says “child abductions are down,” I think: Of course they are—we’ve essentially put kids under house arrest.

    That’s like closing all the beaches and announcing “Shark attacks are at historic lows!” Well, yeah. There’s no opportunity for attack when nobody’s in the water.

    The same logic applies across the board:

    • Burglaries down? We have Ring cameras, alarm systems, and never leave our doors unlocked.
    • Street crime down? People don’t walk places anymore—they drive everywhere.
    • Assault down? We avoid whole neighborhoods and stay inside after dark.
    • Car jacking is down: Cars have 360 degree cameras with recorded footage, alarms and can be shut off remotely. No one leaves their keys in the cars with the windows opened like they did in the 1950’s. Heck, keys were an “option” to starting the engine.

    We haven’t made society safer. We’ve made ourselves smaller. We’ve adapted to danger by surrendering freedom—building higher fences, installing more cameras, restricting our movements, and never letting our kids experience the independence we once had.

    The statistics don’t show we’ve solved the problem. They show we’ve accepted defeat and learned to live in a cage we pretend is normal.

    When you have to fundamentally change your behavior to avoid becoming a statistic, the danger didn’t decrease—you just stopped showing up in the data.

    This makes for great Sci-Fi writing… so thank you all.