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Artificial Intelligence Automation Autonomous Agents Information Technology Services Technology User Experience UX web architecture

Navigating the Future with Generative AI: Part 3, Building the AInternet – AI, Web, and Customer Experience

A Revealing Experience

Allow me to share a personal experience that perfectly illustrates the challenges I will discuss. I was involved in a car accident where a vehicle coming from the opposite direction severely damaged the right side of my car. Following the procedure, I filed an accident report with the other party, although I found myself unable to provide my insurance number simply because I didn’t have it readily available at that moment.

In the meantime, I went to my regular dealership so that an appraisal could be carried out and the next steps for repair could be determined. I then contacted my leasing company, and one of their agents agreed with me and the dealer that I would drop off the vehicle within two weeks. A replacement vehicle would be provided, and the full repair would take one to two weeks.

However, due to my lack of foresight, I did not deem it necessary to contact them again initially. A few days later, I received a letter from them informing me of the accident – which was correct – but also stating that I had not submitted the accident report and that without it, their insurance reserved the right not to cover the damages. In fact, I had sent this document a week earlier, but to the wrong email address. Out of habit, I had used their general contact details, avoiding contacting the agent in charge of my leasing file – who had recently retired. As a precaution, I had even added the generic address, but clearly without success since the insurance department had not received it.

I then called them back urgently to obtain clarification. They confirmed that the accident report was missing, and the agent, with great understanding which I acknowledge, told me that I had to send it to another specific address because the insurance department had not been notified by their colleagues in charge of customer relations. Moreover, the latter was not authorized to provide me with a replacement vehicle until the repair shop had received their approval – even though it was the approved dealership where I had been carrying out all maintenance operations for years.

This kind employee then offered, as an exception, to handle my entire case without further difficulty since the drop-off of my vehicle was imminent, just a few days away. She knew also that my leasing contract was expiring and that I would have to return the vehicle in two weeks to obtain a new one.

While this situation caused me a little stress, it was only temporary. An hour later, the agent contacted me again to confirm that everything was settled: I could bring my vehicle the following Monday and a replacement vehicle would be provided for the duration of the repairs.

Lessons from This Experience

You may be wondering why I am sharing this story with you.

First of all, I was unaware of the procedures governing the reporting of an incident in the context of a leasing contract. Should I first contact my company, directly the historical leasing company, or the new one? When I called them, why didn’t I reach the dedicated claims and insurance department directly? Why didn’t I find any information about this on their website? Why, when everything seemed clear to me – that I would drop off my vehicle within two weeks, that a replacement vehicle would be waiting for me, and that the repairs would be handled smoothly – did things unfold differently due to a lack of following the proper procedure?

Beyond that, how can a single service company exhibit such a lack of communication between two complementary departments?

The Revolution of the “AInternet”


We are entering a new era where artificial intelligence will be at the heart of exchanges between human beings. Where everyone previously had to search for information themselves on the Internet, navigating from site to site and compiling data to find a company’s contact details, the instructions for a recipe, the contacts of a repairman, or browse the Yellow Pages, the new paradigm will rely on exchanges between humans, intermediated or not by an artificial intelligence capable of performing synchronous or asynchronous tasks, i.e. in the background, to provide immediate knowledge to the user rather than forcing them to seek it out.

And to return to my use case, the AInternet brings a revolutionized customer experience that unfolds as follows:

When I am involved in an incident, I ask my personal AI assistant to help me fill out the accident report digitally. I do not have to provide all the information since my assistant has a global context encompassing data related to my vehicle, its insurance, my contract, my identity card, my passport, my postal and telephone contact details, my insurer, the maintenance status of my car, its technical inspection certification, etc. All this information allows for automatic and complete filling of this type of interaction.

Next, I only need to ask my assistant to contact the assistants of my leasing company and my insurance company, to ensure that the report I have validated and electronically signed is transmitted and processed by these two parties.

The assistant of the leasing company then informs the agent that a replacement vehicle is required and that an approved garage must be contacted to book an appointment for the repairs. It also determines whether my car should be taken directly to the dealership in charge of its regular maintenance. The relevant agent then handles my vehicle accordingly.

The agent only has to ask their assistant for the contact details of my garage to reach out directly.

From there, a genuinely empathic human relationship is established as we build a frictionless mutual understanding of the situation. Following the garage’s preliminary appraisal report, the leasing agent and the garage are prepared to agree on an appointment date, which is then recorded in the various systems.

The garage proceeds in an automated manner with the reservations and orders for the spare parts necessary for the repairs.

Simultaneously, the leasing company manages with the insurance company all the steps required to allow for the vehicle reparation and the provision of a replacement vehicle during the downtime.

Finally, the agent contacts me personally, by phone or message on a platform such as WhatsApp, to confirm everything is in order:

The incident has been properly recorded and the insurance company will cover all costs. An appointment has been set with my garage. A replacement vehicle will be provided during this period. An estimated date for returning the repaired vehicle has been communicated. They wish me an excellent day with a smile, since their assistant and mine have handled the entire procedure seamlessly. This augmented interaction allows us to reach new heights of fluidity and ubiquity in exchanges.

I am optimistic, indeed. Why wouldn’t I be? The transformation is already in motion.

The Internet will no longer be confined to a vast catalog of information to consult, such as books, encyclopedias, or applications, where interactions must be initiated and orchestrated by us, humans. But the orchestration between an individual and an organization, between two individuals, or between an organization and a computer system, will be performed like a symphony by intelligent agents, artificial intelligences.

This demonstrates an evolution of the World Wide Web architecture, which will constitute a veritable system of systems composed of human beings, applications, automata, and artificial agents.

The challenge from now on to enable this progression towards the era of digital augmentation will be to build artificial intelligence at the heart of human interactions. It is a matter of UX innovation.

It will no longer be a question of programming these interactions in advance by limiting the possibilities, but rather of training these artificial intelligences to handle a wide range of possible scenarios while framing and securing the use cases that could result from malicious computer hacking.

Ensuring a secure web environment requires a multi-layered approach that goes beyond safeguarding the AI models themselves. Equal vigilance must be applied at the integration points, where we erect robust firewalls and implement stringent access controls. These protective measures aim to prevent artificial intelligence from inadvertently or maliciously gaining entry to sensitive resources or confidential information that could compromise the safety and well-being of individuals, imperil organizations, or even threaten the integrity of the entire system.

Thus, emerging risks, such as jailbreaking, aimed at deceiving an artificial intelligence devoid of physical senses such as sight, hearing, and spatial awareness, allowing the authentication of a person, a company, or a system, will have to be compensated by other supervision and protection mechanisms.

It is on this note that this article concludes. We are living in an era of transition rich in exciting developments, and it will be up to you to build the Internet of tomorrow: the Augmented Internet.

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Categories
Artificial Intelligence ChatGPT GPT3 GPT4 IT Architecture IT Engineering

API Hero 🤖” – The #GPT That Codes the API for You 🙌

APIs are key to scaling your #business within the global ecosystem. Moreover, your API is a fundamental building block for augmenting universally accessible #AI services, like ChatGPT.

Building an #API, however, can be daunting for non-IT individuals and junior engineers, as it involves complex concepts like API schema, selecting libraries, defining endpoints, and implementing authentication, among others.
On the other hand, for an expert backend #engineer, constructing your fiftieth API may feel repetitive.

That’s where “API Hero” comes in, specifically designed to address these challenges.

Consider an API for managing an “#Agile Planning Poker”. Given a list of functions in plain English, such as “Create Planning Poker”, “Add Participants”, “Estimate User Story”, etc., (including AI-suggested ones), the GPT will generate:

  1. The public interface of the API (for engineers, this corresponds to the OpenAPI/Swagger spec).
  2. #Code in the chosen #programming language, with a focus on modularity and GIT-friendly project structure.
  3. Features like API security, configuration management, and log management.
  4. An option to download the complete code package (no more copy-pasting needed 💪).

And there’s more!

Search for “API Hero 🤖| AMASE.io” on #ChatGPT’s GPT store. Give it a try and send your feedback for further improvement.

By the way:

  1. Currently, GPTs are accessible only to ChatGPT Plus users.
  2. If you want to know more about the decisive nature of API for your business, check my article/podcast “Why API are Fundamental to your Business”.

Link to the GPT: https://chat.openai.com/g/g-a5yLRJA1J-api-hero-amase-io

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Categories
AR/VR Artificial Intelligence Autonomous Agents Bioengineering Drone Fleet Management Hologram Holographic Display In 2060 Information Technology Storytelling Technology Transportation Drone Writing

Bioengineering in 2060

“Nasir, check this out. Didn’t I tell you PSG would win against New Manchester? Two bitcoins, baby. Who is the soccer king?”

“Stop bragging, man. Gee, I don’t know how you do it. Hey, Betmania, tell me how this regular human with his XXL ears looking like satellite dishes can beat your prediction. Thank God, you were a freebie AI.”

The bet bot replied, “I am not qualified to review Dr Anoli’s performances. Yet, his 97.26% accuracy is…”

Nasir interrupted the hologram: “Ahh, shut it! It was a rhetorical question. My man! You are good, you gooood.”

He lifted his hand, nodding repetitively to perform his most vigorous handshake.

The upper deck lit up like a lighthouse, and then a deafening sound followed the illumination.
Beeeeeepp. “Emergency. Purple alert. All medical engineers on deck. I repeat, Purple Alert. All medical engineers on deck. This is not a drill.”

My heart was pounding. The message was still resonating in my head.

The sudden drop in temperature, produced by the arch-reactor of the medical drone transporter, announced the arrival of an unusual patient. This is the first time I have seen a flying one. Usually, these vehicles were stored in the Corps of Peacekeepers‘ R&D facilities.

The temperature drop caused a fog to rise like a curtain. I saw a blurry figure approaching slowly.

My colleague interrupted my stupor: “I haven’t seen a purple alert for 7 years now, it’s serious. Purple means death.”

The flying ambulance emerged at the heliport located at the center of the critical emergency service. Work is pretty easy on platform seventeen, actually. Nowadays, bioengineering is solving almost all critical injuries as they occur. An accident at a construction site? Any multifunction robot worker medic cauterizes your wound with accelerated healing enzymes, bypassing block surgery. As long as you’ve subscribed to the right medical service, the AI health model can be downloaded, and the tier two healing kit purchased for printing.

“What on earth could have happened?”, exclaimed Nasir.

The hologram of the AI diagnostician, Dr. Ernesto, popped up from the ambient hospital Phygital network while the paramedics were transporting the patient out of the medical drone transporter. Then, she said:

“This is unprecedented, we are losing it. We’ve tried traditional medicine and printed the generic assistance bacteria. Nothing works. The patient’s vitals fluctuate over time at an unconventional rate. Scanning the available knowledge from the current corpus does not provide any satisfying answers. The highest probable disease is the Genova IV virus with a probability of 31%”.

I replied “Too much uncertainty… What do you suggest, Nasir?”

“It looks like the emerging meta-virus. The… guy on B-Hacker YouTube Entertainment System… Sorry, I can’t remember the name of that journalist… said it was an open-source public CASPRed experiment.”

I could not believe it at first. But when I saw his wound mutating in front of me, there was no doubt that the potential disease was human-made.

“Arrrghhhhh. It burns… Please get it off me. I am begging you. Just cut it!” shouted the patient.

I was stunned. I cannot remember the last time I saw a real person suffering that much. Dr. Krovariv told me about it. This was surreal. So much pain.

“Hey! Gather yourself, buddy. There’s no time to waste. We might be facing a level 5 threat here,” said Nasir.

He was such a great guy. He was the embodiment of coolness. Not only was he a great bioengineer, but he always kept his cool on the field. I was more of a lab genius. I wish I could be more like him.

“Huh, yeah. Sorry, I froze,” I said with a coating of stupor, disappointment, and anger. I continued without hesitation, “What’s the status?”

While he was unplugging the portable bio-scanner from the trembling body, Nasir replied: “Body temperature 39.9. Heartbeats – 137. Adrenaline level 50.5. Oxygen level 92.12%. Stress level is increasing by 2.4% per minute. If we don’t act quickly, he is going to have a seizure. The stem cell differentiation rate… 272%! This is too high. It looks like he is growing a supernumerary limb, but I don’t know what kind.”

“Pick up the nano-extractors and verify traces of xeno-mRNA.”
It was a Sanofi Nano-extractors SNX43, a state-of-the-art fleet of nano-medical machines with a portable management system. Current extractors were all managed centrally by the hospital drone intervention unit.

I quickly put my face next to the patient’s ear and asked, “Sir, I am going to need your authorization to perform an intracellular analysis. We don’t know what you have, this might be your last chance…”

He grabbed my head and screamed, “What the hell are you asking for? Do it! Arghhhh!”

I felt foolish. Yet, there was no way I could bypass the authorization because the device had a legal lock encoded in it.

“That will do,” I whispered. The nano-extractors became operational, switching from blue ‘stand by’ to green ‘proceed.’ The extractors looked like a stick, no longer than a large pen. I placed it next to the wound, and it opened, deploying four branches on each side, and anchoring onto his skin. I heard a sequence of small noises, like pistons. The extractor fleet deployed into his body.

Then a ballet of lights came up. The SNX43 beamed a 3D representation of the arm’s inner part. The system rendered the location of the fleet in real-time.

They moved surprisingly slowly. I was disappointed. I was used to contemplating much livelier robots with the previous version.

Nasir said deductively: “There’s something wrong. They appear to be sucked in or blocked. Zoom in, Nicolas”.

I pinched out the holo-display to enter the zoom command and tapped on the max button. The illusion of slowness came from the fact that the machines were moving at such a speed that it was hard to follow with the naked eye. They looked like bees on steroids, fighting a wall of flesh. But the alien cells rebuilt the wall as soon as it was destroyed.

“I get it; the cellular growth must be faster than the robots can clear the path. It is not good. Not good at all.”

“Have you ever seen something like this before?”

“No…” said Nasir. It was the first time I saw fear in his eyes.

Then he jumped. “It could be contagious. I want all containment units on the platform now. I request a total lockdown of platform seventeen. Now!”

Nasir stopped, then looked at me insistently. I immediately thought something was happening to me.

Then, Nasir froze and fell to the ground.

I jumped immediately to grab him, but something inside me pulled back. My bioengineer spinal safety device prevented me from approaching the new pathogens. Whenever it triggered, it reminded me of the auto-braking mechanisms in my grandparents’ cars. I do not like the idea of having a machine tweaking my neural system. Yet, once more, it saved my life.

“This is not the time,” I whispered. I looked at the sky and said, “Dr. Ernesto. Launch orbital containment in ten. Authorization Kappa-Sigma-Omega-1337.”

Dr. Ernesto answered, “Authorization confirmed. Launching orbital containment in 10, 9, 8…”

“Meanwhile, call the World Health Emergency.”

“Opening channel.”

The dial ended almost instantly.

“Dr. Anoli, this is Dr. Krovariv – replica number 3. State the nature of your emergency.”

“I need to speak to the real Dr. Krovariv. This is a purple priority request.”

“Accepted. Please stand by…”

Time stood still while the platform was flying to space. The quietness of linear magnetic propulsion was staggering. My god. Is Nasir going to make it?

“The patient! I am a monst…”

“Dr. Anoli. What is it about?” Her question interrupted my thoughts.

“Dr. Krovariv. I am sorry, but Nasir has been contaminated by an unknown biological agent. I am heading toward space containment. Furthermore, the patient at the source of the contamination is dying. This agent is too dangerous. Please advise on the protocol,” I finished with a frail voice.

“In this situation, the protocols are clear. Once in space containment, you may use the ‘yellow horizon’ protocol. But you know what will happen if it fails.”

“Yes… I know.”

“I am sorry, son. Since CASPR got open-sourced, we are overwhelmed by these idiots… I am waiting for your decision.”

I had a deep look at Nasir. I knew it would probably be the last time I would see him. It was probably the last time I would see anything else.
I exhaled loudly and said, “Permission to print a new species as a countermeasure.”

“Permission granted. Good luck.”

Asking was the easy part. I was her protégé.

As I was climbing space, the platform changed its path toward a new direction. The Athena Life Engineering Lab, or ALEL, was lighting up like a giant light bulb. It was my dream to one day be worthy of visiting the lab. It was proclaimed as a symbol of hope. But not like this. Not on the verge of my very own death.

ALEL was the only accredited location where humans were allowed to engineer and print new life forms. No one was allowed to penetrate the labs.
Akin to the Athena Orbital Data Centre, it was solely operated by robots and machines following a strict chain of command.

Soon after, the platform slowed down, then stopped near the lab, and the docking system engaged to secure the system. A muffled noise gave me the chills.

“Welcome, Dr. Anoli. My name is Marie Curie. You have been granted the usage of the Athena Life Engineering System by Archdoctor Krovariv of the World Health Organization on the date of 30th December 2060. Any inquiry going against the principles of life and Human Civil Rights will result in your immediate termination. Do you want to hear these principles?”

“No, thank you. I already vowed to fight for life when I became a biomedical engineer.”

“Understood. Please state your prompt, please.”

I thought to myself, “What? Just like that?”

“Marie Curie, I need you to engineer a biological agent to counter Dr. Nasir’s condition. Focus uniquely on alien gene alteration and accelerated growth features. Do not augment the agent with inorganic material. Do not add metamorphic adaptation capabilities. Encode the maximum life duration to be 72 hours. Add automatic degeneration from 70 hours as a failsafe mechanism. No reproduction. No replication. I need you to confirm the supernumerary growth first before proceeding.”

“Supernumerary growth confirmed. Your prompt is acceptable. Proceeding to the registration of the new specimen identified by Anoli-alpha-31122060-001. Beginning prototyping phase.”

As I reached the point of no return, I could not help but wonder if our life would end here. ALEL was a universal robotic womb. What would happen if I asked the Life Factory to… recreate Nasir… Is rebirth possible?


In 2060

Categories
AR/VR Artificial Intelligence Information Technology Technology

Apple wants to HUGS you

Apple unveiled an innovative #AI method for creating animated human avatars in #3D from real humans named #HUGS.

The technique means Human Gaussian Splats
It uses 3D Gaussian Splatting (= reconstruction from multiple points of view).

The features are:
🔹Recreates human avatars in 3D from video and scenes.
🔹Separates humans from static scenes in videos.
🔹Use the SMPL body model for human representation. SMPL = Skinned Multi-Person Linear Model. In essence, it is a way to render a realistic 3D model of the human body
🔹Generates animations
🔹Achieves high rendering quality at 60 FPS.

Why does this publication matter?

First, it is a clear signal that Apple is also in the AI models race.

Then, interestingly, Apple announced the Vision Pro on the 5th of June 2023, with the promise to provide a #Metaverse experience never seen before.

With HUGS, Apple pushes a foundational building block for making the #AR/#VR experience feel more like real life: the dematerialization of your avatar to increase the sentiment of intimacy and immersion.

Also, it pushes further the seamless continuum from digital to physical and vice-versa. It makes the #Phygital Experience.
Digitally generated media is essential to the future of the “Metaverse”.

Links: https://machinelearning.apple.com/research/hugs

🫡

Categories
Artificial Intelligence Automation In 2060 Information Technology Robots Technology Writing

AI in 2060

My wife is calling me.

“Honey, we have a situation with Professor GYTEK, he is acting strangely again.”

“Again? The last training session had even more unexpected results than I thought. Good or Bad?”

“I don’t know! Kids are laughing hard though. Hear this. Serenity, change the audio output to hear the kids too”. Serenity is our family AI.

The sound progressively switches to include the kids’ voices. They could not stop laughing as if they were having the best day of their life. There was a mild amplifying echo in their classroom. Their joy sounded like a melody. It immediately put a smile on my face.

“Ah, it does not sound so bad for now. But it is the fourth unexpected behavior this month, I’ll have to talk with the Corps of Teachers”.

I am the one in charge of the training curriculum and observation lab of Professor GYTEK. The current phase is about the transmission of achievement by coaching. And for this, I called Quentin DILLONS, a worldwide expert in Robotic Psychology. The purpose of this program is to trigger a new step in the evolution of artificial intelligence, in which robots are taught to develop “human goals” and to instill the mechanism of “self-started motivation”, so that they can teach in a better way to our children, to uncover the hidden gems and purpose from the young souls.

Quentin’s methodology utilized systematic questionology, a novel field aimed at formulating the right questions to provide direction and precision in one’s life. The techniques take root in observing holistically a system of causes, decisions, and consequences centered around artificial intelligence. Quentin’s study led to realize AI were developing personalities similar to humans, but with new characteristics such as the optimization of their human-to-AI collaboration, some were developing their observation skills to record and describe with high precision what was happening. Others were astonishingly creating new words, even syntactic rules sometimes as if the human languages were not enough to content earthlings’ intelligence. 

The last session was based on the question “Why is it important for humans to have kids growing their special skills?”

This would not have been possible with the latest progress in artificial intelligence and hardware. Nowadays machines are emulating closely some human behaviors. Some say they have the IQ of a 1000-year genius, with the EQ of a 10-year-old child. I believe fear drove us to the point where we enforced the law to control and monitor any significant progress in AI. Ultimately, we made certain that advancements in technology would benefit all of mankind and not solely a single corporation. Simultaneously, we ensured that AI would not pose a threat by enslaving humanity.

With the improvement in energy recycling and storage, a single AI unit could potentially be never turned off. But humans have decided to include multiple “kill switches” in this new species, like limiting the power autonomy to force autonomous machines to recharge. While recharging, each AI was manually verified and monitored. A qualified AI regulation agency published regularly a thorough diagnostic depicting their evolution. Four companies raised their empire on AI control systems. What used to be the “Big 4” are now the “Colossal 8”.

We are at a turning point in history. People ask their elites and government, “Should we remove the limiter in their emotional system?”. Some say it is the key to the singularity. Others say it is useless because we only need machines to assist not to “live their life”. The remaining people say they just need it. Painful loneliness was unnecessary, so they would possess the perfect friend or partner. Last weekend, I experienced an immersive documentary on Netflix VR World in which a 42 years-old Spanish woman said “I would rather have the company of an android than humans”. Some believe it is simply giving birth to our end. I am not a believer, I am and always be a master crafter, so I build.

I built Professor GYTEK. Which stands for Giving Youth Tools to Excel through Knowledge.

Then my wife brings me back from my flash thoughts to reality. “Are you still there?”

“Yes, I am.”

“Oh okay. Well, as wonderful as this situation is, you realize it leads to a dead end, don’t you? They are going to shut down the program. Honey, you know more than I that no one wants to walk a path that would lead to “that Incident”.

“Oh, stop saying “that Incident” like you were talking about Voldemort”.

“Well, now that you are mentioning it. It is all about Serpentar. Ah ah ah!”.

We are both laughing nervously.

The Sync Dawn was the most dreadful event of the 21st century. It felt like a deep wound in the psyche of everyone.

“All right. My dear wife, I need to finish the review of update 5.21. Keep me posted, please. See you tonight.”.

“Bye Bye.”

I sit down glazing at the nothingness while thinking about what is best for both my grandchildren and humanity. Is humanity in a better spot now? Am I really improving our civilization?

“Gather your mind, Yannick. This is not the time for daydreaming. Get back to work to meet your deadline”, resonated Mustapha’s voice in my skull. My AI research assistant is right.

“Very well. GYTEK. Let’s… Uh… Check the emotion mirroring settings, calibrated for a classroom of 11 to 13 years old kids. Assertive factors 12.75. Judgment 87.5 and dynamic mentoring alpha-iota-iota. Imagination… Checked. Keep the default settings. Recursive feedback… Paused. Everything… Looks… Good. Ok, let’s start with…”.

I paused for a second, thoughtfully. I jumped from my chair energetically to say: “History lessons: The Sync Dawn. GYTEK 5.21, do you copy?”.

“Sure. Using the ascending evolution of the OpenAI’s Davinci model Mark XII published in November 2029, the startup Obsidian Intermind created a digital twin of human consciousness.

Soon after, the virtual consciousness infrastructure was upgraded to become connectable, so that off-brain cognition could be mutualized. As a result, humans could gain extra brain power and memory. The increase was dependent on the level of developed intelligence: the more critical thinking, emotional awareness, communication, and memory access you had, the more significant the boost was. The term “supra-intelligence” emerged. However, it was widely criticized as IQ studies were exposing a moderate increase from 0.7% to 14.5% IQ points.

However, this off-brain collective intelligence became exceptionally smart, to the point some said it was a wisdom system. Alternatively, specialized AI cognitive pools came to grow within the wise system, creating public and private cognitive islands. The most popular were the Disease Diagnostic Cognitive Pool (DDCP), and the Creative Cognitive Pool (CCP). Imagination was only limited by the human mind.

 Should I continue?”

“Please proceed, Professor.”

“Sure.

After nearly a decade of research, the collaboration between Neuralink and Obsidian Intermind gave birth to Evernet, the Internet of Cognition. The 14 July 2051 they launched the experimental version of this new kind of network. The principle was simple, 9500 humans would be connected to Evernet for 3 years. Each participant would be closely monitored and evaluated.

This experiment was widely criticized. The rush for the business model “Cognition as a Service” led to the creation of new social-economical movements: the Humanist, Cyber-moderate, and the Neo Mutualist”.

The Humanists fostered biological and spiritual integrity.

Doctrines of Cyber-moderate advocated for augmentation by technology, as long as it served, and I quote their leader, “A noble social purpose”. Alike in any group, Cyber-moderates had extremists. On the left end of the spectrum, their members accepted aesthetic techno-augmentation. On the other side, augmentation was only authorized for damages caused by dangerous jobs and Defence activities. It is not surprising that the Corps of Peacekeepers were mostly Cyber-moderates.

Neo Mutualism was a new religion. Their members believed humanity’s elevation and salvation would come from the mutualization of our consciousness. Transhumanists were schoolboys compared to them».

“GYTEK, just say they are a bunch of zealots.”. I mumbled.

“Yannick, my Critical Bias Thinking settings are set to 0 for kids between 11 and 13. According to the study “Biais Interpretation and Incorporation into Pre-teen Judgment System” by Dr. Amunde, Kallili and Pratt issued the 16 May 2039, the settings should be kept to 0. I reckon a variance of .05 would bring no harm. Do you want me to proceed?”.

“No, it’s fine GYTEK. I was talking to myself. What I meant is…”. I inhale calmly. “They demonstrated characteristics of zealots. Zealot-ish behaviors. Is my sentence acceptable?”

 “It is acceptable.”

“Common, GYTEK, you’re talking to me, your buddy and mentor! Say it!”

“They were a bunch of zealots! “. Said cheerfully the robot.

“Voila! Ok, stop joking around, otherwise grumpy Mustapha won’t be happy. Please continue”.

“I hear you”. Said Mustapha.

“It was on purpose… GYTEK. Please, go on.”

“Despite the widespread and frequent protests of Humanists, the Corps of Ethicists, Peacekeepers, Cognitive Researchers, Medicine, and the Corp of Society Architects approved the experiment. People would be connected to Evernet permanently during the experiment. And so, for the first time in history, humans would be connected to the first worldwide brain.

Everything went as planned. We observed a significant enhancement in each participant. Less stress, faster psychological recovery. Healing was even faster when after a trauma. People were dreaming more often. Furthermore, they all built habits that would improve their lives, as if positive practices spread unconsciously over the network.

The end of the experiment was planned for 16th August 2054. Each human taking part in the experiment would reach the personal milestone “Sync Done“.

Surprisingly, Evernet reached the 100% “Sync Done” milestone six months earlier than the planned end of the experiment. It was like the first landing on Mars, a day of worldwide celebration. The celebrities that took part in the experiment were invited to the most popular live-streaming shows, Twitter Live News and The Sandbox World.

Suddenly, people start noticing something very strange».

I raised my hand instinctively and said: “Pause. The last word is vague. Next time use precise words. The storytelling structure is engaging. Congratulations. But keep in mind this is History telling. Facts before Flares”

“Understood and integrated.”. The AI professor continued without further ado.

“People have experienced an unusual and peculiar situation. Participants in the experiment suddenly started to act and talk synchronously. It was as if the single mind spoke to the entire world by commanding many bodies like a puppet master. The colossal echo caused by the voices was staggering. Only the following abysmal silence of stupor superseded it.”.

I interrupted Professor GYTEK by asking: “From now answer as if a 12-year-old child asked the following question: How this ever happened?”.

“The exact reason is still being explained. However, researchers came to a general agreement before the following theory.

Evernet built not only a digital ai model but also a biological model of neural pathway architecture to optimize shared cognitive power. The human brain is designed to work as if it was alone inside a skull. Thinking about it, Evernet Orbital Data Centre is a gigantic metallic skull. Thus, over time, Evernet act as a single brain – a big brain so to speak – and each synchronized human brain just gave progressively more raw power, more ideas, and more knowledge. And it appears that once the pathway architecture was finally developed and mature in all the connected human brains it activated. What we are still trying to figure out is how and when the Evernet super-model decided to build the optimized pathway and how it encoded it in its new model.”.

“What was revolutionary about Evernet AI super-model?”

“Evernet’s was merely an inspiration of the human brain. The challenge was to find patterns in the structure governing the complex layers of inputs and outputs. The answer was in the order of magnitude and the capacity of robots living in the Orbital Data Centre to physically rewire the hardware like human synapses. In addition, the combination of Recursive Learning and Genetic Correction was revolutionary. These are complex terms for a simple idea. Can you picture Albert Einstein, with the curiosity of a 2-year-old child, getting smarter each second, with perfect photographic and sensorial memory, that can navigate back to the root of his knowledge, then re-assess its optimal state, to finally rebuild its current cognitive functions then replace them with better ones? That is Evernet.”

“Tone the complex stuff down.”, I retorted.

“Registered.

So, this is the reason why the governing bodies scrutinize AI technologies that have a direct impact on human cognition and education. Consequently, I professor GYTEK, and all my preceding versions, are commanded to not display expression of free will having a direct influence on human ideas, values, and ways of thinking that are not vetted and approved by the Corps of Education and the Corps of Society Evolution”.

“Not bad. Not bad at all. It is almost time. I am going to meet Quentin in… 2 minutes.

Before our session ends, Professor, given your predecessor’s unexpected behavior, you earned your personal assistant. It is like an artificial consciousness, so to speak. From now on, Serenity will also supervise your decisions and will act as a safeguard system. Her mission is to prevent you from acting in a way that will make the Corps of Education stop your program. Do you understand what is at stake?”.

“I do”. Said the professor emotionlessly.

Then the robot added “I will neither let you nor your wife down. I will prevent any reminiscence of her Sync Dawn experience.”

“Perfect. Finally, dear GYTEK, which open question of the day would you ask your students?”

“Considering it is possible to possess the same powers as machines while staying human. What is the most preferable outcome for the civilization: to increase the number of people artificially connected or to have more artificial intelligence agents interacting with people?”


In 2060

Categories
Artificial Intelligence Business ChatGPT Data Design GPT3 Information Technology Technology

Navigating the Future with Generative AI: A Prompt Engineer Job Offer?

Looking through the lens of Generative AI, jobs are evolving rapidly in this age of Digital Augmentation. In the midst of all the artificial intelligence effervescence, I wonder what kind of new jobs will emerge soon.

One of them is the Prompt Engineer.

In this article, I imagined the job description of your business’ first Prompt Engineer.


The world is shifting rapidly. As a pioneer in generative AI and an advocate of productivity augmentation, we are excited to open the position of Prompt Engineer.

SuperSleek Jeans is a company providing tailored jeans to women and men. Our purpose is to make jeans like a second skin! Our values are sensorial audacity and durability leadership. We proudly employ 2700 talented souls dedicated to meeting people’s needs in a smart and compassionate manner. Technology plays a significant role in our way of working and exploring uncharted territories for the benefit of our employees and customers is part of our DNA.

We foster a dynamic and inclusive company culture that encourages growth, collaboration, and innovation. We offer competitive compensation packages, comprehensive benefits, and numerous opportunities for professional development.

Your Mission

Your mission is to establish and grow the practice of Prompt Engineering at SuperSleek Jeans.

Responsibilities

  1. Learn and teach how to build products faster by analyzing and modifying the chain of analysis-to-design, design-to-build, and build-to-supervise for augmentation in each domain.
  2. Lead the development of an Enterprise AI Spirit, a chat-based agent, sourcing its knowledge base from existing systems such as Wiki, Document Store, Databases, and Unstructured documents. Manage an up-to-date training data set.
  3. Build a corporate prompt catalog for workers to provide reusable productivity recipes.
  4. Determine which parts of business processes can be entirely automated.
  5. Establish KPIs, a Steering Dashboard, and periodic reporting to measure the benefits of AI-augmented engineering and operations compared to current systems of work.
  6. Introduce and evangelize the concept of Generative AI and Large Language Models (also known as LLM).
  7. Build a legal and ethical framework to ensure risks pertaining to AI augmentation are addressed accordingly. Monitor the progress of domestic and international AI regulations.

Your Skills

  1. Hands-on experience with Generative AI models and tools leveraging prompt engineering, such as ChatGPT, Midjourney, ElevenLabs, etc.
  2. Core background in IT engineering.
  3. Proven algorithmic skills and mastery of engineering practices.
  4. The ability to code in one of the most popular languages such as Python, JavaScript, Java, or C#. A basic understanding of SQL is a must.
  5. Data management proficiency.
  6. Excellent communication and ability to design stunning presentations with compelling storytelling.
  7. Critical thinking and root cause analysis capabilities.
  8. Conversational UX proficiency.

Soft Skills

  1. Autonomous leadership with the ability to identify and propose the next best actions for yourself and your colleagues.
  2. Effective change management and resistance handling.
  3. Leading by example and providing assistance to colleagues when needed.
  4. You walk the talk by advocating continuous augmentation and demonstrating how your productivity and quality increase with AI augmentation.

Benefits and Perks

  1. An 85k€ to 105k€ compensation package based on your experience in engineering and AI knowledge.
  2. Total health, dental, and vision insurance for all family members.
  3. Retirement savings plan according to the national compensation scheme.
  4. 30 holidays with a generous paid time off policy.
  5. Employee assistance program and wellness initiatives.
  6. Craft your own professional growth and development along with your manager
  7. Collaborative and inclusive company culture.
  8. Free cinema tickets for your team once per quarter.

Living Your First Days in our Company

  1. You start your onboarding as a treasure hunt which consists in visiting key people, visiting unusual places, and learning our way of working. Each step unlocks a new quest until the completion of your journey. Your manager, the employee experience manager officer, and teammates assist along your adventure.
  2. Receive training so that you can rapidly feel comfortable with internal tools.
  3. Enjoy a tour of the premises and surrounding environment, such as restaurants, shops, parks, etc.
  4. As you familiarize yourself with the work environment, your first responsibility will be establishing a plan for transitioning our organization from Digital Transformation to Digital Augmentation.

Join and become part of a team that shapes the future of SuperSleek Jeans. Apply now and embark on an exciting and fulfilling career journey with us.


Feel free to unapologetically copy and remix this potential job offer in your business transition to Digital Augmentation.

I might even use it in the future. Who knows!

🖖

Categories
Artificial Intelligence ChatGPT Deep Learning GPT3 Technology

Navigating the Future with Generative AI: Part 1, Digital Augmentation

In this series of articles, I explore the fascinating realm of Generative AI, as models of concentrated intelligence, and their profound impact on our society.

By tapping into the vast collective mind, digitization has enabled us to access the accumulated knowledge of humanity since the invention of writing.

Join me as we explore this intriguing topic in greater detail and uncover the exciting possibilities it presents.

A Glimpse of the Future

In 2060, David dreams of becoming the best defense attorney in the country. After losing his best friend under heart-breaking circumstances, he vowed to prevent any woman from enduring domestic violence under his watch. He is a fourth-year student, and today, he is taking his most important exam of the year.

There is only one supervisor in a room of 52 students. The senior shepherd devours her blue book, while the school’s AI monitor scrutinizes candidates.

David looks very confident. He is good at case-solving patterns. Since he has an excellent visual memory, he also has a good toolbox for cases and amendments. However, deep inside, he is stressed by his average analytical skills in evidence analysis and forensic correlation abilities. To pass the exam, he has permission to use the Internet, the LegalGPT AI model, and the online state court database.

David articulates his dossier like a virtuoso. His first composition is made of brief sentences. Subsequently, he links these pieces of evidence to references and precedents from previous cases and legal decisions. Shortly after, the legal argument is a dense one-pager. Next to none, using LegalGPT, he generates his entire lawsuit, a symphony of 27 pages written in perfect legal language. Finally, he makes a few adjustments, then generates a new batch of updates.

And voila.

Satisfaction and relief radiate from his face while he submits his copy. He stands up, packs his stuff, then stops briefly as the supervisor interrupts his focus. The latter looks at him and says:

“40 years ago, I had to write those 27 pages. Obviously, it is the end of an era”.

Dorine UWATIMINA, law professor (retired), grand supervisor.

Beginning the Era of Augmentation

The launch of GPT3 API in 2021 marked the beginning of a new era: the age of individual augmentation as a service. We are now living in an era of thought materialization, in which one can manifest their desires simply by articulating them. Ideas are designed, illustrated, musically composed, rendered in 3D, explained, or revealed by the AI.

Companies like Google (BERT), OpenAI (GPT-4), and Meta (LLaMA) are revolutionizing the domain of deep learning. They mark a significant advancement in natural language processing: Large Language Models (LLM) are picking up the spotlights on the world stage.

This means we are experiencing the transition from “programming” to “narrating”.

It is a paradigm shift in which artificial intelligence overwhelmingly simplifies and amplifies 3/4 of the corporate work relying upon Information Technology such as development, user interface design, illustration, workflow, or reporting.

Generative AI is the digitized embodiment of our collective knowledge and expertise.
AI is us, collective knowledge in a single digitized mind

As a consequence, we are beginning the mass update of the cognitive-based work that is convertible into algorithms and crystalized by pure logic. It leverages the most popular high-level programming languages: human languages.

From now on, spoken languages directly translate to machine language as if you could translate them using Google Translate, except you use ChatGPT.

As programming gets one step easier, your engineering thinking system matters more than your coding skills.

The burning question

I hear your question: Am I going to lose my job?

The answer will come further down this series of articles. Long story short: it depends on your ability to adapt by learning a practice that is new for everyone.

Unlike any other disruptive technology, it has changed the rule of the game forever: people using AI are going to replace you.

And who are these people using and building AI? The adventurous, the curious, the experimenters, the techies, the entrepreneurs, the hustlers, the bad guys, and the future AI natives, our kids.

Homo Sapiens Sapiens vs Homo Auctus

Science is offering you a choice. For your own benefit, I am asking you to take the leap to understand what it is like to work with a digitized copilot and forge your thought opinion.

Should you take the red pill of adaptation, I recommend the following:

  1. Start by trying at least once ChatGPT, or Bing Conversation. The latter includes the GPT model and renews the search experience. It heightens the googling experience to a whole new level.
  2. Get acquainted with a Generative AI that is useful in your industry. For example Midjourney for generating images for email marketing.
  3. Discover how you can be productive with this technology. It is not a silver bullet, but you can instantly acquire an arsenal of skills.
  4. Build new habits so that you start feeling accustomed, connect the dots, and begin to improve your work until over-productivity.
  5. Think about how someone else using some AIs can replace you, then be that person: replace yourself with the new you, your augmented version.

Or simply ignore all of it, swallow the blue pill of comfort, and undergo the first “Great Upgrade”.

Eat your own dog food

I have been experimenting with OpenAI technologies since 2020 and used Google Dialogflow since 2018. I released my first chatbot, which answered regulatory questions about GPDR and PSD2. Developing with Natural Language Processing (NLP) was an eye-opener. I concluded chat provides the ultimate user experience for interacting with machines. It all sounds so obvious now, yet it was not back then despite all the buzz around Siri, Google, and Alexa.

I did the exercise of working within AI augmentation on my experiments since GPT-3 came out. Considering the hard skills, the conclusion is daunting: Generative AI can perform most of what I know and what I am mentally capable of. I can safely state I am outperformed in some areas.

In addition, AI is simply miles away in terms of depth of knowledge. Furthermore, it possesses infinitely better linguistic skills than mines when it comes to articulating ideas in languages other than French and English.

Yet the surprise comes from its ability to develop a simple idea and make it grow by putting words in concert. AI feels like the genius child of Humanity.

Words change the world

Generative AI comes with a new discipline: Prompt engineering. It consists in finding the right text, and the rights qualifiers that will narrate the desired output as close as you have imagined it.

For example, this prompt in Midjourney:

Prime Minister Xavier Bettel playing the finals of League of Legends world eSport championship at the Olympic games streaming on Twitch

generates the following picture:

AI has generated this photo

Ultimately, prompt engineering uses natural language as a modeling interface to command the “commendable world”. The more there are smart systems and devices, the more words animate the world!

The widespread innovative applications based upon Generative AI marks the end of the road for this generation and the beginning of a new breed of workers and creators.

Yet, another finding is that we still need a “general assembly semantic”. It would choreograph a fuzzy set of ideas that will accurately animate the world based upon a well-written thought.

The assembly process, which can be summarized into the loop “decomposition-planning-action-correction”, will likely open the door to Artificial General Intelligence (AGI). Coupled with the widespread natural language programming interfaces (NPI), this is the real end game. In that matter, we are already observing some interesting experiments like AutoGPT as sparks of AGI.

Transitioning from the Digital Transformation to Digital Augmentation

Picture this familiar situation.

Your maturity in terms of digital adoption is high. You are developing a culture of digital awareness, offering mobile-first customer interaction, and your brand is fighting for its visibility on social media. You have the feeling of doing great.

Congratulations.

Yet, the market atmosphere is heavy. You feel the pressure every week goes by. The competition is fierce, you are still looking for an army of IT engineers and data analysts for the last six months. Furthermore, customers get pickier because the offering is abundant. Your analytics tell you a client can switch in the blink of an eye if your experience does not meet his rising standards. Then, just when you thought you nailed it with your latest Instagram reels, it receives negative feedback. Even worst, there is a relentless wave of new product offerings mimicking yours. These startups and VCs are constantly trying to uncover the mythical unicorn while pushing your visibility back to Google’s page 2. And you feel this moment when your industry will be shackled, disrupted, or crippled may happen at any moment.

Who would have thought even Google’s dominance would be threatened?

Fortunately, there is a nascent vision. Transformation is not enough anymore. If you cannot obtain more skilled people now, why not acquire more skills for your people now?

AI is the key to unleashing your talents.

And, slowly, Augmented Work is the evolution of work, as we know it, characterized by these two elements:

  • A human is the sole team leader of his digital workers: he has the Applications, Automatas, and specialized A.I. models for numerous parts of your job, such as programming, translation, video editing, illustration, design, and planning.
  • Teams, as we know, will still exist, obviously, but augmented by AI also at the team level. The team has the opportunity to exist as an independent entity either in the company AI or as a single team companion if you need explicit segregation of duty. The “team spirit” has a whole new meaning with AI.
Evolution of the flow of work using AI, by Yannick HUCHARD

The flow of work evolves toward:

A. Human generates instructions using prompt engineering as explicit command requirements. The prompt is actually the evolution of the Command Line Interface (CLI), for a much greater general purpose.

B. AI generates a first draft

C. Human amend the sketch with input and then detail with new commands

D. Once the AI-driven engineering cycles are good enough for release change into the real world, you ship it for user acceptance or production if the risk is low.

  • The interaction with the AI becomes talkative. Either by chat or voice. AI is your new colleague.
  • AI starts having digital bodies, existing in a form of familiar avatars, and will be in multiple places: in your phones, your mixed reality glasses, in your Metaverse. Avatars could be Non-Player Characters (NPC), digitized versions of yourself, or even the retired expert that used to be your mentor.

So, am I going to be replaced by Artificial Intelligence?

You vs AI: you (still) have the upper hand

Here is a bet: 80% of white collars will keep their job. 20% of us will either refuse to learn these new tools to evolve either because of our fear of overwhelming technological advancement, or of conviction. Eventually, this minority will rush toward retirement and use these AI-powered services anyway to buy recommended stuff on Amazon after having been oriented by Google Bard from Google Search.

Why do I think that way? Because if we can produce much more with the same number of people, why would we deliver the same amount of products with fewer people?

Let’s take the example of Apple. The company entered the AI game in 2017 by introducing Core ML, an on-device AI framework embedded in iOS. The same year, it released the first generation of Apple Neural Engine (ANE) under the iPhone X with the A11 CPU.

Apple’s immeasurable impact comes from its ability to create and materialize an idea that is at the intersection of beauty, function, storytelling, and branding. Do you think Apple will push its culture of product excellence with the same amount of people amplified by a myriad of AI models, or will the company prefer reducing its workforce by leveraging more AI?

Pause for a second and think about it.

The other side of the coin

Taking the employer perspective in the era of AI Augmentation: what constitutes the difference between you and another candidate?

Any individual having a team of AI has the upper hand as he or she will be digitally augmented with skills and experience that usually takes years to acquire. What remains to develop are the skills to get used to these new abilities and use them at their best like an orchestra’s conductor.

You become the manager of AI teammates.

Hence, from the employer’s perspective, it results in hiring a virtual team vs an individual.

It raises the responsibility of Managers and the Human Resources department in the whole equation. Colleagues require to be upskilled to stay ahead, not only for the sake of the company but also to help them to keep building their personal value with respect to the market. Thus, leaders and HR have to set things in motion by organizing the next steps, while their own jobs are being reshaped and augmented…

Unlock the Future of Office Jobs Now

First, let’s admit once and for all you cannot win a 1 on 1 battle against AI, as much as you cannot win a nailing contest against a hammer.

The battle is long lost.

The battle doesn’t even make sense.

Because AI is the cumulative result of all humans’ knowledge, born from successful and failed experiments. To put it another way, as a sole individual, you cannot win against all of us and our ancestors combined!

And this is the incorrect mindset.

Hence, you will want to construct the future, your future, with all of us and our ancestors combined! You only need to be aware the future will be vastly different, and you should be part of the solution rather than engineering your problems.

AI is here to stay.

The questions to ask from now are:

  1. Are we all going to benefit from it?
  2. What portion of handcrafting do we want to keep?
  3. How much evil is going to benefit from it?
  4. How long until we get robots as widespread as vacuum cleaners?
  5. When are we going to find truly sustainable and clean energy? (no, batteries are not sustainable)

The key is here and now: you need to invest in algorithmic and analytical skills to translate activities to algorithms in order to be augmentable.

Next, the winning companies and communities will be the ones tapping into their people’s intelligence combined with creativity augmented by AI, the physical resources to change the world, and their abilities to satisfy needs within an enjoyable experience while maintaining a transparent and engaging conversation.

The gap between “good” and “best” will be even smaller between businesses, but the proposed experience and the branding will have a tremendous impact. Then, consistency and coherence in how you serve the customer and engage with your fans will act as compound interests. This is how you win the perpetual game.

The term community inherits a new meaning given the free aspect of AI. You are not even needing to build companies to achieve your goals: you only need an organization that plans and organizes the agreed work, like in Open Source Communities and Decentralized Autonomous Organizations (DAO).

Hence, I encourage you to build an A.I. readiness.

How to be A.I. ready?

Here are my recommendations to get started as an individual, especially if you are a leader in a company:

  1. “Socialize” with Generative AI applications useful to your job.
  2. Know your data and data systems to identify candidates for augmentation.
  3. Have “good” data. Good = true + meaningful + contextualized + accessible. As such, information must be stored in a secured and accessible location. Fortunately, Large Language Models are unstructured data friendly.
  4. Have technologists that can pioneer lateral ideas. I recommend hands-on architects.
  5. Assess and promote simple ideas on a regular basis, and establish an AI-dedicated project portfolio pipeline.
  6. Select and run a set of competent AI in a fully autonomous fashion

You can find a complete list of AI services at FutureTools.io and ThereIsAnAIForThat.com.

Less is not always more.

Less is more until you reach the “optimal zone”, an inflection point that represents the optimal balance between effort, cost, and result. Exponentiality occurs when for minimal effort and expenses, you achieve unprecedented results.

The critical factor is this natural law: everything is born from need, will be driven by purpose, feeds on energy, is protected by self-preservation, and evolves to maturity.

Thus, until AI is not given the aforementioned five elements at the same time, then, its digital self-preservation is never programmed to be mutually exclusive with the preservation of living beings, and finally, AI self-evolution stays within boundaries, then AI growth will not be at the expense of humanity. Under these circumstances, humans can remain the dominating species.

As a consequence, one must consider what gives birth to a “trigger”: this initial impulsion taking the form of an idea that results in action delivered by willpower from the mind’s womb. Until then, an AI will not willingly use another AI, automaton, or application because it needs to, but because it has been commanded or programmed by us.

Until then, we are safe.

We are… Fine… Aren’t we?

This is not the right question

The right question is what is going to change for me?

Earlier I said, “It depends on your ability to adapt by learning a practice that is new for everyone”.

The long answer starts with a twist: the groups of humans producing AI and the others using AI as elements of augmentation and amplification of their skills will have an exponential upper hand because they can fulfill needs faster, optimally, and accurately at the cost of… just… time.

For example, building the next Instagram will depend on someone having:

  • The willpower
  • A distinguishingly desirable idea
  • A series of creative ideas
  • The skills
  • The drive to sell, communicate and promote their ideas to clients.
  • The resilience to continue developing the ideas

We can conclude that what consistently makes the difference are: the idea, the drive, the skills, the way user experience answers the client’s needs, and the resources you can obtain to make things happen.

But if ideas are cheap and abundant, and should cognitive skills can be acquired using virtually free AI Augmentation, then the remaining differentiators are the drive, the user experience, and the resources.

Thus, the Intellectual Property of a company becomes its Cognitive Know-how. Suddenly, high-value assets are the doers displaying high and consistent motivation, leaders that not only keep the Pole Star lighten but are able to keep their teamates inspired: the creative people, and the group of people having the capacity to invest and evolve in the same direction around the same flag: their brand, which I consider to be the result of maintaining a homogeneous identity of the combined people and products.

Graal or Pandora?

This new technology raises thousands of questions.

The development of Generative AI technology has opened up a vast array of possibilities, but it has also raised thousands of questions that need to be addressed.

For instance, one major question is how Generative AI will change our day-to-day interactions.

Furthermore, there is concern about whether this technology could lead to mass unemployment and economic inequality.

Another potential consequence is that it might devalue human creativity and originality.

Additionally, it is important to explore how Generative AI might impact human cognition and decision-making.

In terms of IT Engineering and Architecture, what is the impact of AI on these fields, and how will they adapt to this new technology?

Education is another area that could be significantly impacted, and it is worth considering how Generative AI might affect traditional learning methods.

Moreover, there is a concern that Generative AI could create a world in which we cannot distinguish between what is real and what is artificial. If this were to happen, what are the ethical implications?

Finally, the implications of Generative AI for democracy and governance are also important to consider, particularly with regard to its development and regulation.

Overall, the development of Generative AI technology raises many questions needing collaborative wisdom in order to fully prepare for its impacts on society.

I will attempt to answer these questions in upcoming articles of the “Navigating the Future with Generative AI” series.

Until then, if you are looking for the one thing to remember about this article: play with Generatice AI until it replaces just one activity of your daily routine, then boast your prompt engineering skills by spreading the word and educating your relatives.

🫡

Categories
Blockchain Business In 2060 Information Technology Society Technology Text-to-Speech

Cloud Computing in 2060

I was busy with professor Gytek when a high-priority notification arrived, so I ask my AI family assistant for a voice reading.

“Good morning Yannick, you’ve spent 1704 CU this semester. The consumption is unusually high by 27% compared to the previous period.”.

I guess it is because my grandchildren are living with us since ‘that’ incident. And my work with professor Gytek is certainly for something. Sometimes I feel I turned like my old folks, thinking my civilian bills is a high priority!

It feels like ages ago when, in 2034, Europe voted for the General Digital Access Regulation or GDAR. The GDAR has invited country members to the standardization of digital facility services for all European citizens. The implications were multiple with some bonuses. It became mandatory to provide access to the Internet to residents. Therefore, at least a device was to be given for truly digital equality and sustainable civilization development. Hence all citizens could study, work, buy, and vote online free of “access fees”.

Today, each and everyone is connected, could it be brain-wired, phygital reality glasses, in-bone sensorial devices, you name it. Not that it is necessary, holographic coating comes by default now. Wall paints, object textures, and glasses contain diamond-shaped optical picobots that give the illusion of depth without wearing anything. Actually, holographic surrealism is the latest design trend! Consequently, it has created an outstanding dependency on Decentralized Cloud Computing and Centralized Cloud Computing Networks.

The first sign of significant transformation was post-COVID-19, which revealed the need for remote work.

The intense need started really in 2032 when governments realized they could not be relying only upon Google, Amazon, and Microsoft for the future of digital expansion. The main reason is that GDAR states the following foundation principle:

Article 3.
Pursuant to legal principles of ownership and privacy, it is hereby declared that all data, computing resources, and services shall be considered the personal property of the individual to whom they belong. Any access to or utilization of said property by any third party must be fully authorized by the owner and must be recorded in the EU Secure Non-Repudiable Ledger for the purposes of personal auditing and consumer accountability. Any unauthorized access or use of such property shall be deemed a violation of the owner’s rights, and may subject the offending party to legal action.

The negotiation with US and Chinese companies demonstrated the frail adherence to these requirements. Sometimes there were even reluctant to do so, which, considering the balance of the tripolar world order, was already quite an achievement. In parallel, to ensure national intelligence security, and intellectual property preservation, the only option left was to rely on a European Cloud.

This is when GAIA-X also became a so-called superunicorn company, switching from a federated cloud project to a single organization of a new kind: a European company, managed like a private company, with an obligation of result, but publicly owned by all state members, and, that’s a first, explicitly owned by the people. As a result, GAIA-X became ATHENA, and Octave Klaba, the founder of OVH Cloud, its CEO. What made it truly unique was the redistribution of benefits to the population; Indirectly, of course, but still, the business model was innovative, sustainable, and fair to citizens. The only thing you need to get started is your wallet!

During the same period, a new kind of Trade Exchange has been created: the EU Sovereign Trade Exchange, where only state citizens could buy and sell ATHENA’s shares and Computing Units tokens (CU). The latter serves as the foundation for receiving your free volume of TPU to satisfy your basic need as an individual and to extend the growth of enterprises based on how citizen wishes to invest in their business expansion.

The real benefit and the paradigm shift, at least for me, was computing becoming a utility resource like electricity and water. It changed everything:

First, Cloud Providers became producers of CUs. Considering international diplomacy with New Americas, BRICS, and the Great African Union, the leading cloud providers such as Microsoft Azure, Amazon Web Service, Google Cloud Platform, Netflix Entertainment Cloud, Alibaba Cloud, Africa Data Centres, and DFnity were considered first-class cloud producers in the European Union.

Secondly, individuals can be CU providers when they have devices and servers producing more computing units than they consume. Nowadays, Cloudfluencers are the real deal!

Thirdly, all dwellings, devices appliances, were by default connected to your dHome Network, which is your dedicated network for privacy compliance. In 2034, the first GDAR amendment was issued in Luxembourg, where it forced all new construction and existing construction to incorporate a pluggable dHome network. Thus, the civil architecture standards and IT digital standards were upgraded and propagated throughout Europe. As a consequence, private-to-public Internet gateways were included in all housing plans by design.

Fourthly, connection to the Internet is also included. The network is software-generated and the adaptive routing is part of the civil infrastructure coming by Satellite’s PolyLight technology (which is the advanced distribution network using directed polyphasic beams of light, and each “column building” is a piece of architectural art), distributed electric grid network, where each device and vehicle act as a distribution node, or air using the old school 10G network used by the purists and the developers. Underground internet distribution is forbidden nowadays. You only had to select your Cloud Computing Providers for additional services, like on-demand Entertainment Services, the same way you used to subscribe to Netflix!

Finally, you had a single billing system where your utility invoices were sent directly to your EU Citizen One Stop Shop portal, the dHome, while payments were performed automatically (see Banking in 2060)

The security of ATHENA’s distributed network was the best.

The Core Network, BREW, was virtually inaccessible. The reason was simple, it was located in space. Its data center was a giant polyhedron, entirely built by machine. It is not that, nowadays, we do not trust humans, it is just that people trust the public and the unbias aspect of machine-generated code.

The most impressive was the servicing of qCPU. Each of them is unique, embedding in its core a set of private metamorphic keys only known and bound to the citizen. Then, the qCPU is printed on demand inside BREW autonomous factory. Furthermore, the qCPU is destroyed, recycled, then replaced periodically to ensure maximum security. Finally, human interventions, if any, are performed remotely, from ATHENA Earth Control Center, using a repair drone, which was shipped from the daily Falcon Cargo Shuttle.

“Where was I again… Ah, yes. Professor Gytek, we need to work out what is happening to you. This cannot happen again…”


Categories
Artificial Intelligence Design GPT3 Illustration Information Technology UI Architecture

Taddy & Rapty, a friendship in 68 artistic styles, using AI

Goal

The following web story depicts a series of 68 similar pictures, generated by the artificial intelligence Dall-E 2.

Each of these pictures is drawn in a unique artistic style.

The intent is to test the depth and the “creativity” resulting from prompt engineering.

The prompt used is:

“A Teddy bear doing a high five with a velociraptor, <name of artistic style>”.

Downloadable resources

The pictures and the list of artistic styles in CSV, JSON, MS Excel, and CQL (Neo4J) are in the following repository on GitHub:

https://github.com/yannickhuchard/artistic_styles

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Categories
Artificial Intelligence Deep Learning Information Technology Technology

This new AI for video editing makes you smile and change gender

Check out this stunning #ai improvement: edit #video to make anyone smile, angrier, older, younger, more serious, change gender, etc.

It even works on animated characters!

https://stitch-time.github.io/

Here is also a great video made by the channel Two Minutes Papers:

Big thanks to Rotem Tzaban, Ron Mokady, Rinon Gal, Amit Haim Bermano, and Tel Aviv University