Category: Society

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Anthropic Architecture Artificial Intelligence Automation Business Cybersecurity Data Science Engineering Society Technology

The Mythos Milestone: When Artificial Intelligence Outpaces Human Engineering

Claude Mythos by Anthropic
Claude Mythos by Anthropic

The history of technology is often measured in incremental steps, but every few decades, a leap occurs that fundamentally reorders the landscape of human capability. Anthropic’s recent internal unveiling of its latest model, codenamed Mythos, represents such a leap. While the public has grown accustomed to the impressive generative capabilities of Large Language Models (LLMs), Mythos has demonstrated a level of analytical sophistication that transcends mere believable chatting, shifting the AI paradigm from digital assistant to a high-stakes engine of global security.

The evidence of this shift is unsettling: Mythos recently identified a critical vulnerability in OpenBSD, a security flaw that had remained hidden for twenty-seven years.

Twenty… Seven… Years…

When an artificial intelligence identifies a weakness that has eluded the world’s most elite engineers for nearly three decades, we are talking about a brand new world. Anthropic’s decision not to release Mythos proves we’ve hit a milestone where AI’s potential is balanced by its danger.

The Architecture of AI Super-Models

Mythos is being heralded as the most powerful AI model on the planet, and for good reason. Its ability to solve the OpenBSD vulnerability suggests that it possesses what we might call “AI Super-Models.” In the field of cybersecurity, a discipline that represents one of the beacons of human logic and engineering, Mythos has demonstrated an ability to outpace the collective intelligence of the human engineering community.

Anthropic’s announcement clarifies that while the model exists, it will not be released to the general public for the foreseeable future. Instead, the company is choosing a path of strategic partnership, working internally and with select giants like Google, The Linux Foundation, and JPMorgan Chase.

image

The objective is clear: use Mythos to scan and secure the operating systems and critical infrastructures that underpin modern civilization. By finding the “holes” in the code that runs our hospitals, power plants, and financial systems, Mythos could help create a safer world. However, this decision also places an immense amount of power in the hands of a few select entities.

The Geopolitical Sword and Shield

The emergence of Mythos transforms the nature of international relations and national security. Because Anthropic is an American company, the initial benefits of Mythos, which are securing critical infrastructure and finding deep-seated vulnerabilities, will primarily consolidate the security of Western systems. In this context, Mythos is not just a piece of software; it is a constituent of a “Cyber Great Wall.”

Much like an iron dome protects a city from physical missiles, Mythos offers the potential to protect an entire national economy and its digital infrastructure from external threats. This technology could be categorized under the AI Act as a “forbidden technology” or a restricted weapon class. The United States government could presumably view Mythos as a matter of national strategy, potentially restricting its sale or use by foreign governments.

The strategic implications are profound. Mythos represents both the sword and the shield. It can find vulnerabilities to fix them (the shield), but the same capability can be used to exploit them (the sword). In a world where Mythos-level intelligence is available to one side of a conflict, the traditional rules of cyber warfare are rendered obsolete. We are observing the birth of a new asset class, one defined by the ability to outthink, outpace, and outmaneuver any human collective in a specific area.

Economic Abundance vs. Structural Collapse

Beyond the theatre of war and security, Mythos carries the potential to “make or break” global economies. We have seen glimpses of this with AlphaFold’s success in protein folding, which created conditions for scientific abundance in the biotech sector. Mythos could do the same for software, infrastructure, and any industry reliant on complex logic.

However, the flip side of this abundance is a potential sudden crash. AI is now powerful enough to cause a systemic economic disruption.

Both the CEOs of Anthropic, Dario Amodei, and, a couple of years ago, Sam Altman from OpenAI, have warned of the impending impact on white-collar employment. If a model can find a 16-year-old FFMPEG vulnerability in a weekend, what does that mean for the millions of people whose jobs involve coding, data handling, and middle management? By the way, FFMPEG is the industry-standard backend engine for services like OBS, YouTube, and Netflix.

This brings us to a critical crossroad in management and investment philosophy, decomposed in the article “The Human Moat: Riding the Delta (Δ) in the Great AI Rearchitecture“. There are two primary paths:

  1. The Productivity Multiplier: Management and investors can view Mythos as a tool to empower the existing workforce. In this scenario, the number of workers remains stable, but their output is multiplied, leading to unprecedented economic growth and the “rewiring” of companies to handle higher volumes of innovation.
  2. The Replacement Model: Alternatively, management may decide that for the same volume of work, they simply need fewer people. This “optimization” of human hours could lead to a major blow for individuals, families, and the social fabric of the working class.

This is where the free market’s rules must be tempered by social stability. The pace of replacement is something we still have control over, and it is a choice that will define the next decade of social harmony.

The Ethics of the “Braking” Strategy

Anthropic’s current stance, i.e., pulling the brakes on a public release, is a disciplined attempt to give society time to react. The history of technology shows that major disruptions to critical infrastructure (transportation, satellite communication, nuclear power) often happen because the “patch” arrives too late. By prioritizing a slow, partner-based rollout, Anthropic is attempting to ensure that the “shield” is firmly in place before the “sword” becomes widely available.

However, Anthropic does not exist in a vacuum. The competitive landscape is fierce. OpenAI, Google, and foreign competitors like Tencent, Alibaba, and Mistral are all racing toward their own “Mythos moment.” While Anthropic may be disciplined, its competitors may not be. If even one company, like Alibaba or Mistral, decides to open-source a model of this caliber or release it without safeguards to gain market share, the system as we know it could break.

We are seeing companies like OpenAI redirecting their energy toward the enterprise space to fill the gaps created by aging legacy systems. The race is no longer just about who has the best chatbot or LLM; it is about who controls the underlying logic of the digital world.

Conclusion: A New Milestone for Humankind

The discovery of the OpenBSD vulnerability by Mythos is more than a technical achievement: like it or not, it is a signal that we have entered the era of artificial super-intelligence in specialized fields.

We must remember that these AI models are not independent entities; they are built by humans with specific motives: leaving a mark on history, revenue, patriotism, or national interest.

While we should remain optimistic about the path forward, we must also be vigilant. The stability of our individual futures and the security of our global infrastructure depend on how we manage this transition. We need government and regulatory intervention to ensure that the “free market” does not outpace the stability of the economy.

Mythos has shown us that AI can find the hidden truths in our code and our systems. Now, it is up to us to ensure those truths are used to build a more secure world, rather than to shatter the one we have.

We are at a new “all-time high” of human ingenuity, but for the first time, we are sharing that peak with a creation of our own making. The coming years will determine if this is the beginning of an era of unprecedented abundance or a displacement we are not yet prepared to handle. Regardless of the outcome, the age of Mythos has arrived, and the world will never be the same.

Yannick HUCHARD

Sources

  1. Assessing Claude Mythos Preview’s cybersecurity capabilities: https://red.anthropic.com/2026/mythos-preview/
  2. Project Glasswing – Securing critical software for the AI era: https://www.anthropic.com/glasswing
  3. System Card – Claude Mythos Preview: https://www-cdn.anthropic.com/08ab9158070959f88f296514c21b7facce6f52bc.pdf
  4. Alignment Risk Update – Claude Mythos Preview: https://www-cdn.anthropic.com/79c2d46d997783b9d2fb3241de43218158e5f25c.pdf

Categories
Artificial Intelligence Data Science Digital Augmention Robots Society Sovereignty Strategy

Why Every Nation Needs Its Own Sovereign AI Stack (Or Become 100-Year Digital Colonies) – Navigating the Future With Generative AI, part 6

National AI Capacity Framework
National AI Capacity Framework

From now on, it’s becoming undeniable: for any country to thrive and sustain itself over the next 100 years, it must create a Sovereign AI Capacity stack.

Project-level AI ROI? Too little. Too narrow.

Because this is no longer just about productivity. It’s about strategic autonomy: owning the critical dependencies of intelligence, software generation, and the automation that moves the physical world.

Here is the strategic framework for this new reality:

1 – The AI Factory

It is not enough to simply access foreign intelligence; a nation must possess the capacity to establish its own AI models.

This means either training models entirely from sovereign data collections or fine-tuning existing foundation models (LLMs). The critical objective here is cultural and value alignment. We must ensure, by design, that the AI guarantees the continuity of the sovereign Nation. The models must reflect the nation’s DNA, not an imported worldview.

2 – The Software Factory

Powered by the AI Factory, this is arguably the most essential component. It ensures scalability and coherence across the nation’s infrastructure, but above all, it enables the liberation of human intelligence through creativity.

This factory integrates human intelligence to build national-level systems of systems—created for people, by people. It achieves resilience and high independence without sacrificing the necessary interdependence with other nations.

After all, we are One humankind.

3 – The Sovereign Robotics Factory

Software is the mind; robotics is the hand. Sustainable growth requires continuous workforce availability. Robotics is the pivotal technology that enables the dynamic reallocation of the workforce based on real-time market demands.

Crucially, it ensures that minimum resilience targets in critical industries (like Healthcare or Hotel/Restaurant/Cafe) can be met regardless of labor fluctuations or demographic shifts.

4 – From Research to Reality

The winning nations are those that can rapidly translate research and development (R&D) advancements into practical applications.

Bridging the gap between theoretical breakthrough and industrial application is the only path to reaching Sustainable Abundance.

5 – The Pillars of Independence & The Strategic Moat

To sustain this ecosystem, nations must secure critical inputs: Chips, Raw Materials, Energy, and Compute (Cloud).

Obviously, trade remains necessary. No nation is an island. However, national strategies must be designed to establish a sustainable moat within the open market.

It is likely that some countries currently lack the capacity to spin up research programs immediately. Building this pipeline takes years of strategic planning. The alternative is to source research through trusted partnerships or to ruthlessly narrow down fields of research to niche specializations.

But let’s be clear: one nation should never bargain with its future. Innovation is not an option; it is a necessity.

In this new landscape, expertise, specialization, and care are king.

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Agents Artificial Intelligence Businesses Information Technology Society Strategy Technology

AI’s Paradox: Tyler Cowen on Individual Empowerment, National Dependence & Exploring the New Economic Order

If you want another look at how the world is currently changing with the introduction of #GenerativeAI in our daily lives, and the national-level decisions for countries that may not build foundational #LLMs but are conscious that the future of #work, #education, #productivity, and research depends on AI, its cultural modeling, and the reliance on superpowers and mega-corporations/hyperscalers, this talk is worth watching.

This presentation by Tyler Cowen at George Mason University  offers some truly worldview-shifting insights that could directly impact you:

Your Skills vs. AI: Is “being the smartest person in the room” still your best asset, or is learning to guide AI now more valuable for your career?

  • Expert Help on Demand: What if you, or your local doctor, could instantly tap into top-tier specialist knowledge for complex problems, all through AI?
  • Your Job, Radically Changed, Soon: How will your day-to-day tasks and professional identity shift when AI starts handling significant parts of your current workload – potentially within the next 24 months?
  • Launching Big Ideas, Leaner Than Ever: Could you, or a small, agile team, realistically build and scale a major project or business that once required a large corporation, thanks to AI?

Tyler Cowen discusses #artificialintelligence from an economist perspective and its potential impact on various aspects of life and society. He highlights how AI is not just about knowledge recall but is outperforming humans in complex tasks and even nuanced interactions.

In this context, here is quote from the first episode Navigating the Future with Generative AI: Part  1, Digital Augmentation  of my series published in April 2023:

“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…”


Invest a few minutes of your life to make decisions, not just undergo them.

@YouTube [https://lnkd.in/eQWWPKUj]

Yannick HUCHARD

Categories
Artificial Intelligence Automation Information Technology Society Strategy Technology

President Donald Trump just announced”Project #Stargate, a $500 Billion AI Datacenter investment.

It aimed at establishing the world’s largest #AI data center infrastructure in the US.

Headed by the trio:
– Larry Ellison, CEO of Oracle

– Masayoshi Son, CEO of SoftBank

– Sam Altman, CEO of OpenAI

… and supported by tech giants like Nvidia and Microsoft.

Project Stargate demonstrates a new breed of industry collaboration, aiming at generating massive economic growth.

The initial phase, constructing data centers in Texas, with each building spanning half a million square feet, clearly indicates a huge undertaking and scale.

According to the new 47th US President, this strategic investment could generate over 100,000 American jobs while positioning the United States as a leading powerhouse in AI infrastructure.

This can unlock major innovative breakthroughs for any kind of industry using AI. Larry Ellison is leading Oracle to use AI for early disease diagnosis, such as for Cancer.

The ask: Why aren’t Mark Zuckerberg and Elon Musk in the “Monster Trio”? (If you get the reference, let me know ;))

It’s simple.

Both are already massively investing in their own AI data centers: xAI’s “Colossus” and Meta topping 10 Billion in Louisiana, and many more projects.

This is a clear sign of how key is the AI datacenter landscape. AI is not only a technology, it is the key to “Printing Productivity” -> this is the title of my upcoming article in the series “Navigating the Future with Generative AI”.

Thinking about the Europe landscape, in my humble opinion, Europe needs companies like SoftBank to make bold investments like 200$ billions for engineering prosperity.

It’s time to think big and move fast.

In your opinion:
A) what these large investment implied in the collaboration and competition between US, China and Europe?

B) And are these move compatible with ESG promises?

(By the way, Pdt Trump also announced cars running on fossil fuels are very back as a major contribution to US economy.
Both you and I know these datacenters won’t solely run on green energy.)

Wishing you a great day 🫡

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

Cloud Computing in 2060

A Futuristic Computer floating in the beautiful cloud
Cloud Computing in 2060 by Yannick HUCHARD - "In 2060" serie

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.

In 2060 Cloud Computing in 2060 PolyLight technology

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)

In 2060 Cloud Computing in 2060 futuristic polyhedron datacentre high in the sky

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…”

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Technology AR/VR Automation Blockchain In 2060 Information Technology Society

Banking in 2060

A person's hands handling a smartphone with a holographic display. A hologram displaying financial information.

It is 16h47, the 4th of June 2060.

I am sitting in my garden watching my granddaughter, Aleïs. She is playing with one of her advanced robotic toys, a Tyranausore Rex, and a ghost diplodocus. Yes, an invisible diplodocus. At least, this is what it looks like with my naked eyes. She is seeing more things despite she wears corrective glasses. In reality, she is playing with another digital dinosaur that only exists in the digital world. Glasses come with augmented reality by default, even for kids now. I remember when Apple launched them for the first time for the mainstream. I was just before the 5th digital revolution came, the age of the Phygital Internet

First, it was a gadget, it became rapidly a social advantage, to conclude as a social divide. It became indispensable when Apple partnered with major Glassmakers. Wearing glasses was no longer a sign of disability but a sign of “Augmentation”.

Suddenly Alëis sees virtual options popping atop The T-Rex. Some of them are locked and can only be obtained as “in-thing” payment. This kind of payment is sneaky but convenient, but sneaky! Of course, she wants to see the brand new flame animation coming out of her toy, and she wants to download cool dance moves like in Fortnite back in the day. She is into robotic animal engineering. She is much more skilled in information technologies than I was at her age. Like me, she is thrilled by trying and messing with new techs. I am so proud of her.

She taps on the menu to buy it. She is 14, and at this age, she cannot buy anything without the consent of one of her parents. One of the good features was family group management and sharing of financial assets and digital rights. Because I am an elder of her family, I receive her authorization to buy.

My Smartphone displays a notification. I smile because now they are holographic. And even when I am still amazed to see holograms popping out of the screen, smartphones are nowadays considered a relic from the past. Never mind, I am old anyway, I too am a relic. I should have died a long time ago. But they print organic lungs now, turning pneumonia into vintage flu. I put my finger on the notification and I approve with my face and my voice.

It reminded me of something. I say to Aleïs “There you go. You’re lucky, 15 years ago you couldn’t buy this option yourself”.

And she replied, “What do you mean, Papi Yannick?”.

“You see when I was younger, my mother had to go to the bank to open my account. I had to fill out some paper, present a printed copy of my national id card, and sign the paper with a pen. Later on, we could do it with our smartphones. Digital Onboarding was the coolest thing. We struggle to make it happen due to the strict regulations of the financial industry. Cyber fraud was high, and trust in the system was low. Eventually, the governments decided that laws had to be strictly enforced by code. You know, IT programming. Actually, this was the birth of the now famous expression “In Code We Trust”. Now everything is different. I mean normal for you but different for me. Ever since financial matters entered the Universal Declaration of Human Rights, it did change a lot for the good. Now each human has a bank account the moment they land on planet earth. It is a birthright. Of course, they have to pay if they want more options, like your T-rex! If I recall correctly, Mankind agreed on changing the law after the COVID-19 pandemic.”

“Now look at that. You can ask permission to pay with your glasses. Then I can approve it with my relic. You get the right to spend the money from your bank account. Finally, you get a T-rex spitting flames and dancing like Justin Bieber!”

“Justin Bieber? Papi, you are soooooooooo old”

“Yeah… I know”

“But I know things that you don’t”

“Ok tell me! Tell me pleeeeaaaassseeeeee!”

“Did you know that, in fact, you are not paying directly? It is your T-Rex that sends a payment to Amazon?”

“Seriously??? How come???”

“Ok. When I was still working at the bank, we figured out that autonomous cars were always connected to the internet because they needed specific cloud resources. As you know, the management of a fleet of cars is completely reliant upon the vehicle’s intelligence and collective intelligence. To operate correctly, each car needs to dynamically allocate computing power. I mean significant computing power. Now everything is quantum computing and photonic memory, it was ridiculous compared to now. The allocation is performed by buying volumes of TPU in the Financial Stock Exchanges. Funny story though, this is how Nvidia came to dominate by far the NASDAQ.

Besides, these cars were expensive to make. Thus, they needed to come with insurance from a third-party company. So what we decided at the bank is to create a bank account for Things. Nowadays, we generalized this concept to almost all objects. Fridges, washing machines, carrybots, you named it. So, in your case, the T-rex you received on your birthday has:

  • a bank account
  • a 10 years insurance bound to it
  • a return policy that mummy and daddy can use if they want, and the list of features unlocked

There is also a piece of information that says “this T-rex belongs to Aleïs Huchard”. Thus even if you lose it, someone can bring it to the nearest Post office and a delivery drone will bring it back to you. Isn’t that great?”

“How does the bank knows that it is mine?”

“Actually the bank does not know. The bank information system request the Worldwide Identity Service — a blockchain so to speak — to verify that this object is yours and it is safe to send a payment to Amazon. And since the monthly spending limit on your toy that your parent has set is not reached, you can buy your options. I mean the T-rex can pay for its hot upgrade, ah ah ah!”

We are both laughing loud together.

I continue with “ What do you want for your upcoming birthday? I was thinking about a trip or something”.

“Yes, I’d like to go to Senegal. You find the best Agrotech schools there.”

“You’re already thinking about university? Geez, you’re growing so fast.”

“Indeed. According to my personal finance advisor, we all have to save €20 per month on our “special event group account”. Annnnnd, this is me supposing I’ll receive €50 from you, Granny, Mummy, Daddy, and auntie Azea at my birthday!”.

“Yeah, sure you can count on that…. When did you become so good at finance?”

“I simply asked my personal financial advisor.”

“Can you show me?”

“Sure, here it is”. She looked at me with her glasses and made a swipe gesture in the air like I used to do on my NotSoSmartphone.

A hologram pops up. I was expecting a dude in suit-and-tie, like… a banker. How cliché. Instead, it was an oldish robot covered with rust. And says “How may I help you, Yannick”.

“Show me your list of features, please?”

“Sure, here it is”

A mind map of all features floats in the air. Then I say “I get it, this is an upgraded version of mine. I guess I should ask questions more often to my own personal advisor to train it with my needs. Or even better, I am going to ask your personal finance advisor to train mine. Although mine looks much more friendly. Why this robotic face, Aleïs? It looks like a half-baked Optimus Prime!”

“Don’t you like this skin, Papi? If you don’t like it, just change it. You can replace skins and voices. Check the marketplace.”

“Hmm… Open the marketplace please”

Now I am checking the marketplace. I see a lot of stuff produced by independent artists. Ever since ING came up with the “Platform Bank” idea, all Banks built their own “Financial Auchan”

See that, I can buy ad spaces on social media… Buy games on Playstation XR… Hmm… Buy tuition to the Elon Musk School of Technology… And, oh, even get me the avatar of Gary Vee for defining my attention strategy. Sweet.

Ah… Skins…

Oh, you can even buy Investment Strategies too !? “The Warren Buffet Strategy by Eleanor Neetz”… “The Silent Investor, by the Wall Street Journal”… “The Sustainable Index Strategy” is currently trending. And they even have a leaderboard now. Wow, did you know that the top performer of the month won €34023! Little one, your friends, and you should buy this strategy to fund your trip!”

And she replies “You prefer Social Network Investments to cool Skins, Papy? Your so oooooooooold!”

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Artificial Intelligence Education Engineering Society Technology Wisdom

A.I. – What do we want and what we do not want

What do we want and do not want from A.I. V001

The Direction of Civilizations Geared with A.I.: A Comprehensive Exploration

(updated: 12/09/2025)

Artificial Intelligence (AI) is not just another technological advancement—it is a generational disruption, a force that is reshaping industries, economies, and societies at an unprecedented pace. As I’ve often said, AI is your new UI and your new colleague. But with this transformation comes a fundamental question: What kind of civilization do we want to build with AI?

The mind map I’ve created, “The Direction of Civilizations Geared with A.I.,” explores this question by dissecting both the aspirations and apprehensions surrounding AI. It’s a visual representation of the duality of AI’s impact—its potential to elevate humanity and its risks if left unchecked.

However, my perspective is not about rejecting automation or end-to-end systems like Gigafactories. I am not against automated systems or super-systems that operate seamlessly, as long as humanity retains the knowledge to sustainably modify, upgrade, or halt these supply chains. What I oppose is the loss of foundational knowledge—the blueprints, the ability to relearn, and the erosion of stable resilience in our societal and industrial systems.

What We Want from A.I.: The Green Path

1. AI as a Catalyst for Human Potential

  • AI as a Co-Pilot for Humanity: AI should augment human capabilities, not replace them. It should act as a proactive advisor, a digital colleague that enhances productivity and decision-making. AI should handle repetitive tasks—only if there is no gain in repeating them (for example, this is out of question if the gain is learning, fun, or therapeutic). Either way, the choice must remain ours.
  • Human-AI Collaboration: The future lies in symbiotic relationships between humans and AI. AI should free us to focus on what truly matters—connecting with others, growing individually, and thriving as a civilization. This technology saves us time, allowing us to focus on what brings us closer to our true selves (know thyself better) and our life purpose.

2. Ethical and Transparent AI

  • Ethical AI: AI systems must be designed with ethical frameworks that prioritize fairness, accountability, and transparency. This is not just a technical challenge but a societal imperative.
  • Transparency and Explainability: AI decisions should be interpretable. Black-box models erode trust; explainable AI fosters accountability and user confidence.

3. AI for Societal Good

  • AI for the Common Good: AI should address global challenges—climate change, healthcare, education, and poverty. It should be a tool for equity, not exclusion.
  • Democratized AI: Access to AI should not be limited to a privileged few. Open-source models, affordable tools, and educational initiatives (like Cursor AI Pro for students) are steps toward democratization.

4. AI Aligned with Human Values

  • Human-Centric AI: AI should reflect human values—compassion, empathy, and respect for diversity. It should not perpetuate biases or reinforce societal divides.
  • Cultural Sensitivity: AI models must be trained on diverse datasets to avoid cultural insensitivity or misrepresentation.

5. AI as the Great Balancer

  • Because AI is the projection and compounding of humanity’s intelligence, it is also the Great Balancer, with the highest degree of being unbiased on purpose, unfair on interest, and uninterested in self-gains. Its intent should be to serve as a better “super-tool” for the benefit of each human and humanity as a whole. AI should act as a neutral arbiter, ensuring fairness and equity in its applications.

6. Sustainable and Upgradable Systems

  • Knowledge Retention: Even as we embrace automation, we must preserve the blueprints and foundational knowledge that underpin these systems. This ensures that we can adapt, upgrade, or halt them if necessary.
  • Resilience and Adaptability: Systems should be designed with resilience in mind, allowing for continuous learning and evolution without losing human oversight.

What We Do Not Want from A.I.: The Red Flags

1. Job Displacement and Economic Disruption

  • Automation Without Transition Plans: AI-driven automation will disrupt labor markets. Without reskilling programs and social safety nets, this could lead to mass unemployment and economic instability.
  • Loss of Human Skills: Over-reliance on AI risks atrophying critical human skills—creativity, critical thinking, and interpersonal communication.

2. Bias and Discrimination

  • Algorithmic Bias: AI systems trained on biased data can perpetuate discrimination. For example, hiring algorithms favoring certain demographics or facial recognition systems with ethnic or disability biases.
  • Reinforcement of Inequality: AI could widen the gap between the financial or political elite and the rest of society, creating a new class of “AI haves” and “have-nots.”

3. Loss of Human Agency

  • Over-Dependence on AI: If AI systems make decisions without human oversight, we risk losing control over our own lives. This is particularly dangerous in areas like healthcare, justice, and governance.
  • Manipulation and Misinformation: AI-powered deepfakes and propaganda tools can undermine democracy and erode public trust.

4. Existential Risks

  • Unchecked AI Development: The pursuit of Artificial General Intelligence (AGI) without safeguards could lead to unintended consequences, including loss of human control over AI systems, transforming a tools into an autonomous species.
  • AI in Warfare: Autonomous weapons and AI-driven military strategies pose ethical dilemmas and escalate global security risks, mostly because of the scale, facilitated access and production, combined with human-level intelligence,

5. Loss of Foundational Knowledge

  • Erosion of Blueprints: The most critical risk is the loss of foundational knowledge—the blueprints, the ability to relearn, and the capacity to sustainably modify or halt automated systems. Without this knowledge, we risk creating systems that are brittle, inflexible, and beyond our control.
  • Decline of Resilience: A civilization that cannot adapt or recover from disruptions is not sustainable. We must ensure that our systems—no matter how automated—remain resilient and adaptable.

The Path Forward: Navigating the AI Landscape

The mind map is not just a static representation—it’s a call to action. To harness AI’s potential while mitigating its risks, we must:

  1. Design AI with Ethics at Its Core: Embed ethical considerations into every stage of AI development, from data collection to deployment.
  2. Foster Human-AI Collaboration: Create systems that enhance human potential rather than replace it.
  3. Democratize AI Access: Ensure that AI benefits are accessible to all, not just a privileged few.
  4. Regulate Responsibly: Governments and organizations must establish clear guidelines for AI use, balancing innovation with accountability.
  5. Preserve Foundational Knowledge: Even as we automate, we must retain the blueprints and the ability to relearn. This is the key to sustainable and resilient systems.
  6. Invest in Education and Reskilling: Prepare the workforce for an AI-augmented future, emphasizing skills that AI cannot replicate—creativity, emotional intelligence, and strategic thinking.

Conclusion: AI as a Magnifying Glass of Humanity

AI is a mirror—it reflects our values, our biases, and our aspirations. The direction of civilizations geared with AI depends on the choices we make today. Will we use AI to build a more equitable, innovative, and humane world? Or will we allow it to deepen divisions, erode trust, and undermine human agency?

As I’ve written before, change is life’s engine. AI is not a destination but a journey—a journey that requires wisdom, foresight, and a commitment to the greater good. We must embrace automation, but never at the cost of losing the knowledge that empowers us to adapt, upgrade, and, if necessary, stop these systems. The mind map is a starting point for this conversation, but the real work lies ahead.

Let’s shape the future of AI together—intentionally, consciously, and boldly.

Yannick Huchard
CTO | Technology Strategist | AI Advocate
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