AI is a Big Deal
Artificial Intelligence, or as sometimes seen thus far “Artificial Stupidity”, is no mere bubble in the markets, no passing fad, and most people still do not understand how profoundly it is going to re-shape our entire world. More people need to appreciate what this is really all about.
We have all been hearing how writers and artists are threatened by the use of AI. Entire movie characters have already been “generated” using AI, entire books can be generated on nearly any subject one might choose in just a few seconds, and song-writing and the creation of music are child’s-play for this technology. The thing is, so far, it is only the writers and authors and musicians, that have always jealously guarded their creative efforts in the first place, that have realized what AI is going to do to their jobs. At least, insofar as how they have always done them up to this point.
As we go on here, keep in mind that one term; “creative efforts’, because AI is not actually creative at all, it is generative, and that is a different thing altogether.
Mainly, AI is just a fast reader with a good memory. After “reading” about something it then excels at recalling what it read, and also, interpreting what it read. Figuratively and literally. For example; if you require summary steps that describe how to change a light bulb in a lamp, AI can give that to you because somewhere it read about how to change a light-bulb. Need the same instructions for a very specific type of light-bulb for a very specific type of lamp? No problem, because it also probably read the specific user-manual for that lamp. Need the instructions in German? Or Spanish? Or Mandarin or Latin or Italian of some obscure indigenous language from the Australian outback? No problem, because it has read all of that too. How about Klingon? Yes, it can even do that.
What it cannot do however is tell you how it feels to change a light-bulb.
The initial touch against the still slightly- to -hot to touch light-bulb that is being replaced. It cannot tell you about the musty smell that emanates from an old incandescent bulb as you get close to it. It cannot really describe the sense of repulsion you feel when the flies that had accumulated and perished within the lampshade fall into your palm when you first remove the cover from the lamp. It cannot explain the weird scraping sound that only an old, slightly corroded bulb’s threads make as its base is unscrewed from the socket. It cannot describe these things in a fulsome way because it has no experience in the task that is only gained in the same way that humans acquire it. I.e. Doing it. It has only read about it. AI has never actually done it.
Context, experiencing the entire task, with the lighting (or lack thereof), the smells, the sounds, the feelings and even the tastes, all of those sensory elements of the task, is missing entirely for the AI in that example experience. That human experience, the sensory component of the experience, along with the intuition of what the experience will be like, is entirely absent in AI.
AI has no sense of context, has no human experience or anything similar to it, and no natural gut instinct, or intuition. It only knows what it has read. Therefore authors, artists and musicians will still be needed to add that sensory component and the contextual component even as they eventually and probably reluctantly yet still inevitably begin to embrace AI to augment the work they already do.
It is not the “creative” people that are in trouble here. It is the rest of us. But that is not really what this article is about. Let us consider what will change, and rapidly, in the next few months, and years and why the wide-spread adoption of AI is already inevitable.
Air Traffic Control, for Example
Presently, humans sit at radar screens, “man” radios, and look out windows at aircraft flying around in the sky with the aim of keeping aircraft from clunking into one another or getting lost.
Aircraft have for many years now been able to “sense” and report their position, direction, speed, altitude and in some cases automatically alter their course when sensors identify a conflict with another aircraft. First, to avoid collision, then, to return to course. The auto-pilots, once activated, will climb the aircraft away from the runway of the departure airport; navigate safely through the cruise portion of the flight, then fly an approach and even automatically land the aircraft. Already. Today. This is already occurring.
AI air traffic control can (and already has, by the way) been taught all of the pertinent regulations, laws, procedures and methods for managing air traffic, and as with all other subjects, it can recall that information more accurately and faster in orders of magnitude than any human could ever possibly be able to. Keeping humans within this system only slows it all down, and increases the risk of a human error being introduced into the entire process.
Further to this example, it is not difficult to imagine a scenario for which all aircraft are required to have an AI option, when pilots seem no longer to be actively flying the aircraft and all communications are lost. In that moment, AI would simply continue the flight, or initiate a diversion to a nearby airport to obtain help and fly in and safely land the airplane even with an incapacitated crew. The same plane could have a “hijack-mode” that would prevent anyone at all on the plane, pilots included, from flying and ensure it would reach safety, automatically landing and eliminating the possibility of successful hijacking forever. Most would agree these two things, for emergencies, would be good features to have on airliners. But once you get to that point it is not that much of a reach to realize we might as well just allow the AI to fly the aircraft in the first place. Just remove the two central points of failure in the transportation system from the system entirely. The Pilots and the Air Traffic Controllers. Air Traffic Controllers in the future will mainly be present to ensure the AI is functioning as required, not to do trigonometry and speed calculations to determine if two planes are going to collide. Pilots will likely monitor ten flights at a time from a central ground location and just let AI do what it does best. Challenging for many humans, air traffic control and flying are done far better, more accurately, and more efficiently than any human will ever be capable of doing. “Dumb” auto-pilots are already doing much of this even without AI enablement.
Children’s Toys
Kids today already use technology. Interactive video games, technology for entertainment, for schooling, for completing their homework. Internet based services have been a part of the lives of most children for many years already. Now imagine; “Hey Google” “My teacher wants us to write a 250 word book–report about Ulysses. Give that to me please and send it to the printer”.
“No problem, I have prepared a 250 word summary of James Joyce’s Ulysses for you. Would you like to know more about the story or why it was considered controversial when it was first released”?
Summary of James Joyce’s Ulysses
James Joyce’s Ulysses (1922) is a landmark of modernist literature, chronicling a single day—June 16, 1904—in the life of Dublin. The novel parallels Homer’s Odyssey, reimagining the epic’s heroic journey in the mundane routines of ordinary people. Its central figure, Leopold Bloom, a Jewish advertising canvasser, becomes a modern-day Odysseus as he wanders through the city’s streets, pubs, and memories. Over the course of the day, he encounters a variety of Dubliners, struggles with his wife Molly’s impending infidelity, and seeks meaning in an alienating world.
Running parallel to Bloom’s journey is Stephen Dedalus, a young writer and teacher introduced in Joyce’s earlier novel A Portrait of the Artist as a Young Man. Stephen, standing in for Telemachus, wrestles with questions of identity, faith, and artistic purpose. The two men’s paths cross late in the novel, forming a symbolic father–son bond that mirrors Odysseus’s reunion with Telemachus.
Joyce’s Ulysses revolutionized narrative form through its stream-of-consciousness technique, intricate structure, and shifting literary styles. Each of its eighteen episodes adopts a distinctive method, ranging from interior monologue to parodic pastiche, reflecting the richness and chaos of modern consciousness.
At its core, Ulysses transforms the ordinary into the epic, revealing the profound within the trivial. By elevating a single day in Dublin to mythic significance, Joyce celebrates human endurance, curiosity, and compassion—showing that even the most common lives can contain the grandeur of an odyssey.”
The preceding example took me 11 seconds to generate and then copy and paste into this article. Now, I might not, likely could not, have generated the same quality of a summary of this novel. But, when I read it, in the main, I ‘feel’ it is well written and accurately reflects what Ulysses is all about. I might only have added something about the language Joyce used … elaborate and colorful and with such extensive scope and beauty … the main thing that made an impression upon me as I read it.
But that would have made it 277 words. Too much.
The point is this; children are introduced to AI at a very young age, and today’s kids will in so many ways be the product of AI as we create it. And their toys will soon incorporate it as well.
Take the most ubiquitous of toys, the stuffed animal. The Teddy Bear. Small children already interact with these things as if they are animated and “intelligent” beings. They speak to them. Scold them, as they themselves have been scolded at one time or another. They interact with them as they would with a human, in a practice exercise of being an adult. They learn how to behave, in part, through their interactions with their most trusted and reliable friend.
Now imagine the animal speaks back to them, “intelligently”, and working off sensors that detects when the child is nearby, or even holding the Teddy-Bear.
“Hello Olivia” (AI advises this was the most popular name for female babies born in North America during 2024).
“Hi Teddy”
“Did your father agree to buy the new electric bicycle I told you about”?
“He said no, that because I spilled my glass onto his plate at supper last night that I did not deserve a bicycle”
“”Wow, he does not seem like a very nice man sometimes does he”?
“No, he isn’t. I hate him”
“Maybe, if you asked your mom instead, she might get it for you. Why don’t you try to do that when your Dad is outside in the garage today”?
Meanwhile, in the background code, the AI has notified the bicycle manufacturer that they will need to take additional steps to secure the sale of the e-bike to this household.
You see where this could go now, right? There are red flags all over the place here, and there is already evidence that children interacting with AI are receiving troublesome information and suggestions to the inquiries they make with AI. Why? Because the AI is inherently evil, or is driven by some secret agenda? No. The underlying problem is two-fold.
First, keep in mind the AI only knows what it has read about. It lacks context, human experience and intuition.
Secondly, keep in mind too that the child in the interaction also lacks an understanding of context, human experience and intuition, and it is this little human that will be controlling the interaction with this AI. Olivia only wants a new bicycle … she does not know to recognize that the AI just pitted parents against one another with its suggestion, or that she is being manipulated by a bicycle-pedaling corporation. (Forgive me that one).
AI enabled kids toys are just beginning to arrive at the market, and this will be big, very big business in the coming years. If you have ever watched as a child interacts with a stuffed animal during play, and then consider how AI will fundamentally alter that interaction forever, and correspondingly alter that child in a way we cannot possibly begin to predict yet, then you are now imagining the impact AI is going to have on not just the world as it is today, but the world of tomorrow. The overall experience children will have using AI will be positive, however, care will need to be taken with how it is implemented. Regulation of this may be necessary. The real point being made here is it is easy to see how every toy in the world will incorporate AI I the very near future.
Pets
Do not think this will be just the kids that are affected. Imagine the perfect dog, already mankind’s best friend.
Now imagine one that never urinates on the floor, has the smoothest coat of hair you have ever seen on an animal that can smell (sense) smoke, carbon-monoxide and an increase in temperature. It can hear (sense) someone moving around outside the door, but is only programmed to bark between the hours of 11PM and 7 AM. You do not need to buy it food, merely to recharge it from time to time. It has already been “trained” to walk beside you, to defend you as needed and upon command, and it will rescue you from the water if you are drowning.
“Max” (most popular dog name according to AI) “Light the path”
<Max activates his lights so you can see where the two of you are walking.>
“Max, roll-over”
Max rolls over.
“Max, sit”.
Max sits.
But it gets better.
“Max, what is the angle on the inside of the third corner of a triangle that has one corner that is 64 degrees and another that is 32 degrees and one side is 2.72 meters long?”
Max responds, in ordinary English; “That sounds like an Acute Triangle. The inside angle at the third corner is 84 degrees.”
“Good dog”.
“Ruff”
You finish cutting that last corner of the 2 X 4. Bet your labradoodle just peed on the floor because it knows it is out of a job.
Max is merely an android robot in dog form, and android robots are of course about to begin appearing among us by the millions very soon. Just another type of robot, but selected in whatever breed of dog you prefer. Never sheds hair. Always on guard for you and your family. Never snaps at small children even. In fact, Olivia, Max and Teddy will be spending most of their time together. The point? Even your future pets will have AI in them.
Drive-through
How many times have you had to deal with someone over the ordering mic/speaker at a drive-through restaurant that does not speak your language? For example;
“Gimmee a plain cheese-burger”
The natively French-speaking attendant at the window subconsciously translates ‘plain’ to ‘ordinaire’ as she keys the order into their system.
Except that you did not order an ordinary cheese-burger, you ordered a plain cheeseburger. It is a simple and common translation mistake. It is a mistake that a properly “trained” AI enabled android server would not make though. Being a consumer of plain cheeseburgers, and having probably been handed dozens of ordinary burgers in error over the years, you might be one of the readers that might agree that drive-through windows are one place that AI could really shine.
First, no more ‘English as a second language’ servers. That alone will eliminate most errors in the delivery of the food being requested. Any language can be used at the window.
Secondly, it is unlikely you will ever get just five nuggets instead of the expected six. A particularly painful experience you might recall if you have ever been through this when you are hungry. If AI can do anything, it can do arithmetic.
Thirdly, it will probably be capable of remembering you. Whether through license plate identification, or facial recognition, or eyeball scanning or voice recognition or even near-field communication (NFC) or RFID tags. After just one interaction, it will probably remember that you prefer your cheeseburger plain, with medium fries, a coke and one cookie (not two). No more stupid errors. Just good, fast junk-food on demand.
Given the cost of a new robot is currently being estimated as similar to the cost of a new car, uptake for this “role” will probably start slow. But, the math favors the robots. They can work 24 hour shifts for no additional cost, or overtime, apart from the occasional need to recharge batteries. 7 days a week. On holidays too. A robot lease will pay for itself much faster than the lease for your car once you really put the thing to work. That math will be realized pretty quickly by most business owners and AI driven android-like robots will begin appearing in drive-through very rapidly when they are finally available. Overall, they will be more productive and for far less cost than a regular old-fashioned “temporary foreign worker” human.
The same robot can also clean the place, patrol the premises for security, fight fires, and change the light-bulbs as needed.
Olivia loves going there because the robot in the drive-through window always tells her a good knock-knock joke while passing the food into the car. She and Teddy both giggle whenever there is a good one.
Max just rolls his eyes and growls.
Service Androids
This one is easy. There have been numerous movies that have portrayed this over the years.
We are apparently going to be seeing useful android-like AI driven robots that are connected to the internet and its new High Performance Computers (HPC) in the coming months (this article is written in November 2025). Most people have already seen video clips of some of these doing some pretty amazing things, including dancing, leaping over high objects, running, lifting and carrying heavy items, and so on. There are clear advancements being made in stability and dexterity and capabilities every day.
Robots designed to enter hazardous areas to check for everything from gas leaks to chemical spills are already in service to us. Firefighting robots are not so far away now. Industrial robots albeit different in appearance from their android kin have been around in manufacturing factories for a long time and will soon get an AI upgrade that vastly expands their utility.
The “consumer android” is where the next big leap in robotics is going to take place though. Let us call ours Jeeves.
“Sir”, stated in the gravelly voice of someone such as Sean Connery, slight British accent, deferential always, and at the perfect volume for 7:15 A.M.
“Mhmm”
“Sir, it is 7:15 A.M. sir. Time to rise. Would you like me to start the coffee sir”?
“Mhmm”
And the day begins.
You arrive in the kitchen in your bathrobe and Jeeves hands you a cup of hot coffee.
“Good morning Sir”
“Good morning Jeeves. What’s happening?”
“Sir, the temperature outside is 16 degrees Celsius, and it looks like it will be a very nice day. You have an appointment to get your teeth whitened at ‘iSmile’ at 9:15, then lunch with your editor at 12:30. The NASDAQ appears to be declining in overnight trading but the outlook remains bullish. Also, there was a 7.3 magnitude earthquake in Turkey that might affect defense related stocks today. I can explain more as to why if you would like sir”.
“No. And cancel the lunch with my editor. Also, I would like you to paint the east wall in my den this afternoon.”
“As you wish Sir. Will an earth-tone be suitable for your tastes Sir”?
“Yeah, that will be fine”.
Now, if you are thinking the robot that costs as much as a new car sounds a little like a servant in this example, you would be correct. That is precisely what people will obtain them to be.
Except that this AI android will be capable of communicating and translating in every human language ever created, instantly calculate complex math problems on your behalf, act as a personal assistant, body-guard, rescuer, cook, painter, sommelier, navigator, auxiliary lighting, event recorder, driver, grocery shopper, tailor, house-keeper, piano-player, and, yes, server.
Probably will not be much fun to play Trivial Pursuit with however.
When you set your mind to it one quickly realizes that having an android robot around that you can communicate with in plain language and that is functionally useful for day-to-day tasks would be massively useful. It would increase the productive time you have available for yourself, increase your safety and security, and it would be, or certainly could be, entertaining.
Do you really ever feel like cleaning a toilet? Is painting a wall the most constructive use of your time? Or how about being confronted by a burglar whilst alone in your home? Robots are coming. Bet on it. And they will have AI onboard already.
Military Androids
We should all agree on one thing. Never give the robots guns.
Whoops. Too late.
AI controlled Unmanned Aerial Vehicles (UAV’s) with missiles strapped to the wings have already been flying for years. They are being used in warzones all over the world, already. Our enemies use them too. It would be naïve, and a major mistake, to fail to incorporate them into our own plans for the Order of Battle because they are so effective, on so many levels in armed conflicts.
There are other autonomous vehicles too, and androids, and dog-like robots that are also already in service, and all of them packing as well. In fact, this has turned into a major new industry all over the world. Tens of billions of dollars are being spent already on this ‘new’ technology.
Even missiles are using AI to identify targets, and then select the best angle and time and position from which to carry out an attack. The missile, without any contribution from a pilot or other type operator can already tell the difference between a tank and a pick-up truck. Or a pick-up truck and a pick-up truck with a gun mounted on it. AI specifically coded with the entire history of human warfare, with all of its rules and laws and treaties, and linked to HPC computers through low-latency world-wide satellite communications. With full knowledge and real-time calculations made as to the performance capabilities and limitations of the specific weapon, and with all of the knowable things about the enemy target, such as armor thickness, materials, speeds, position and so on that it will need to make an effective hit. It is already possible today to “send” a weapon forth with instructions to “Search and Destroy”, and the weapon itself will do the rest for us utilizing its own AI. The operator/pilot/computer can turn itself to some other task as soon as it is sent downrange and the missile will automatically do the rest.
Android robots of all shapes and sizes will work in the exact same way on the battlefield. Unload an entire platoon of the things from trucks and point them in the right direction. In fact you will not even need to carry out this step as the machines will already know where the fight is at.
The argument for this will be “Why risk human lives”?
The argument against it is the same though. At least, it sure feels like a mistake to arm AI. There have been numerous fictional movies already about that very thing, and that never turns out well for us in the end. It is not just fiction anymore. AI is being used by the military.
Professional Assistance
Lawyers, accountants, doctors. Anyone you might call or visit to ask a question of a professional with a specific area of specialization. You can try this yourself, for free, with Chat GPT or GROK or Gemini right now. Just open a browser and go to that website. Let us begin with a legal question to demonstrate.
“Create a Commercial Tenancy Agreement for use in the rental of an industrial bay with a one year term, a rate of $1000.00 per month, and with two parties, “A” and “B”, for my state or province.”
There is probably even no need to tell it where you are at specifically. It will likely already know. The AI will review everything it knows about this type of agreement in your jurisdiction and it will, in seconds, generate and provide you a suitable legal agreement to use that works within the laws and corresponding regulations for your location. The same thing once took days, or weeks, and cost hundreds, or even thousands of dollars to get a lawyer to generate on your behalf.
In fact, many lawyers are already using Chat GPT to do this very thing, but still charge their usual rates to you if you have them do it for you. More than any other field, Law is going to be transformed by AI because so much law, and so much about law, including court proceedings and decisions are in written form. Written words being the main diet of AI.
“Create a Balance Sheet and a Profit and Loss statement I can use to prepare the taxes for my small business using the data about revenues and expenses in the attached spreadsheet”.
Not only can the AI do this easily, and again in mere seconds, it will likely ask you if you would also like help preparing the necessary forms to submit for income tax purposes.
“Will these statements and tax forms fulfill mandatory reporting requirements for me?”
The “Lawyer” part of Chat GPT will let you know right then and there and offer advice if there is any concern. No need to book another appointment with your lawyer and wait days or weeks to review your tax submission. You will have been able to do a legal consultation, prepare your books, file returns, get a second legal opinion about all of the work, and complete and file it all in one fifteen minute session. AI already does this right now.
The real difference is that previously impractical efforts required for small business owners to seek advice from professionals was either too complex to organize or too expensive to do or both. So small-business owners simply went without this professional advice instead. A practical reality. And sometimes leading to really unfortunate results. Now, excellent, speedy, FREE advice is available to everyone with internet access. So, that would be everyone these days.
How about this example?
“I have a bad headache behind my left eye, and feel like throwing up, and am having trouble moving my right arm. What should I do?”
Doctors are going to tell you that nobody should ever trust anyone but a doctor for medical advice. However, the advice Chat GPT returns for this example is right on the money.
“These symptoms could indicate a stroke, brain bleed, or another serious neurological event. You should not try to drive or wait to see if it passes. Call 911 (or local emergency number) right away.
- Describe symptoms clearly — “severe headache behind eye, vomiting, trouble moving right arm.”
- If others are present, have them stay with you, note the time the symptoms began, and you should remain sitting or lying safely.
- Do not consume food, drink, or medication unless directed by emergency personnel.”
The more fulsome response that it provides actually gives additional rational for its advice, and offers to provide instruction to bystanders to make them helpful during your emergency too.
So, should you ask AI to guide you through the removal of your gall bladder? Probably not. (Erm, definitely not) But, the advice it gave to a question about troubling symptoms was as good an answer as any doctor would give. And is the correct, conservative course of action, even if the provisional diagnosis made by the AI turns out to be in the end, incorrect.
Any profession that is built upon years of studying textbooks and then providing advice, such as doctoring, lawyering and accounting can already be substantially done by AI. It makes so much more good information accessible to so many more people, that the overall benefit of it is already difficult to deny. AI is, at the moment at least; definitely still a force for good in this context.
Unless you are a Doctor, Lawyer or Accountant. Again though, these professions need only to begin using the AI themselves to increase their own efficiency and overall productivity to retain relevance.
AI is your new provider of professional services.
Math and Engineering
AI knows about things you do not, that you never went to school for, and have never done in practice. It can create complex schematics or floor plans or drawings for nearly anything with just a short text description of what is needed. Certainly, it can do almost any kind of math, even complex math. It knows everything there is to know about science and engineering, including bio-engineering and theoretical physics. Genetics. Folding proteins. Doing load calculations for objects constructed out of any material. If your need is in any way STEM related, AI is already a more powerful and reliable source to consult than just about any person actively specializing in the field(s) you need help in, today. AI will unlock the creative potential of everyone that has ever had a novel innovative idea. Six billion potential inventors just gained access to the one thing they have never been able to access to realize their idea until now. Technical expertise.
Scientists are using it in combination with their own research. In fact anyone can build their own AI by simply scanning their own papers into the AI and instruct the AI to use your own words when producing results to queries. A vaccine researcher could use this custom AI to create new vaccines. Or new genetic treatments for almost any ailment that afflicts us. It is still early days … we need to give this new tool a chance to solve some problems for us within the constraints of the existing (old) system to prove safety and effectiveness. But then it will become possible to fully unleash the AI to solve problems for us.
Complications
Compute. Power. Security. Communication latency.
AI uses a lot of “horsepower” to work as we expect. That horsepower comes with two fundamental components. Fast chips, and the electricity to run them.
Presently, there is not enough of either. Some estimates indicate we currently only generate enough electricity for half of the current demand for AI.
This part of this article circles-back to an earlier reference about AI being an investor bubble. Anyone saying that (Warren buffet for example?) either does not understand what AI is or what it will do, or how it works, or; they are just attempting to drive the value of the markets down so they can get back into an opportunity they have thus far missed-out on.
“High Performance Computing” or HPC is a term you will hear more of in the coming months and years. This refers to a type of computer chip and architecture for stacks and stacks of them that are used to provide the ‘compute’ horsepower for AI. Slow chips simply do not process the data fast enough to support AI functions. That low latency (quick response) interaction users have with the services is one of the key features of AI that, with its blinding calculation speed is how it provides those amazing answers to all of our questions.
But those chips use electricity and once again, presently, there is not enough power to go around for what we are trying to do today, let alone tomorrow. All of the big tech companies are sitting on brand new chips that have not even been plugged-in yet simply because there is not enough electricity to operate them. And they are very, very hungry for electricity.
It was bitcoin miners that really noticed this fundamental issue first. It was in their best interest (most profit) to use fast chips, and those fast chips were using a lot of power. They have all tried different things to make this more efficient but all have hit a wall with making new coins. A threshold was then crossed at which bitcoin miners realized there was more money in HPC and energy production (at least, during the next ten years) than there was going to be in Bitcoin mining. That is saying something important because, as you probably realize, Bitcoins are incredibly valuable.
Most existing Bitcoin miners have or are pivoting their businesses to HPC and the really clever ones are buying their own power plants. Entire power plants. Thermal, hydro, nuclear …. Anything they can get their hands on. These new chips are going to require more Gigawatts of electricity than is currently being produced in total today. If we want to have the AI that is being built up and running today, the energy needed to do so would require we stop heating and lighting our homes and businesses. The choice is quite stark.
And keep in mind that a new power plant cannot just be built overnight. The last nuclear power plant built in the US was fifteen years from approval to activation. The chips are a problem. The power is a crisis. That makes both of those things valuable.
Closely related is communication latency. Today we lack the communication infrastructure to connect all of the new HPC data centers that are going to be fired-up in the coming years. That latency will affect the utility of AI.
One of the providers is Elon Musk’s Starlink and Grok services. Interestingly he covers several of these problems with the world-wide satellite network that is already operating. Not exactly low latency because those radio signals need to travel all the way from the satellites back to the surface for earthlings to use, but, the latency is consistent and is not terrible. He also has access to natural cooling, given the satellites are in the frozen vacuum of space. Cooling is a two-fold issue as those HPC chips, using the energy they do, tend to get quite hot. The heat on a terrestrial data center is attended to by air conditioning, but that is compounding the need for even more electricity. Dissipating heat into space is very handy to be able to do.
Finally, security is also a really big problem. Imagine you have a national security question that you would like to feed into a computer to help with. Obviously you cannot just feed that to, say, Google, for analysis, you will need to assemble your own AI infrastructure. You cannot just scan and upload the technical specifications for your nuclear weapons, for example, into a publicly accessible Large Language Model for AI to learn from. The government will be required to build its own LLM’s in order to make its own AI services relevant and productive whilst keeping everything properly classified.
For solving issues related to national intelligence, or warfighting, or national defense, a lot of AI related HPC and energy and communications infrastructure is going to be required. By every country in the world. All of it operating secretly in order to keep us safe from our enemies. That national AI equipment might be larger in scope than what is currently being provided for civilian commercial enterprise. This has emerged in recent months as a national priority on the same order of magnitude as the development of the Manhattan project for nuclear weapons, or the space program. It will be (It already is) an absolute imperative to lead with this technology, given the power it will have. This is what the Genesis Mission addresses. The Genesis Mission was initiated by Executive Order from President Trump, just this week.
Still thinking AI is a mere bubble?
Conclusion
All of the largest and most successful tech companies in the world are investing heavily in AI right now as they see the potential it has to transform quite literally all things that we as humans need or want. Self-driving cars and android robots being the least of it. The investments being made are in the trillions of dollars already. Keep in mind you probably never had access to AI whatsoever just two years ago and this is already one of the largest industries on the planet. This is more important than the invention of the steam engine, or the vaccine. It is larger and will be more ubiquitous than the internet, and will roll out faster and further than the internet or cellular telephones did when those technologies first became realities.
They cannot make the chips for the high performance computers as fast as they are needed. Even if they could, presently there is no way there would even be enough electricity to power all of them. Those fast chips, the HPC, and the energy to power it all are what the next generation of AI, already invented and ready to go is waiting for. It is coming. It will happen. It will happen at breath-taking speed and AI, already incorporated into so many things will only expand and improve in scope and speed and usefulness through an ever expanding number of interface items from cars to teddy bears.
The people and materials put to work by the development and growth of AI during the next generation of humans will dwarf any previous human paradigm. AI represents a step change in how we, as humans have always done things.
A paradigm step. AI is the single greatest achievement of humanity, and we are only in its earliest days.