George Anadiotis

Analyst, Consultant, Engineer, Founder, Researcher, Writer.

Got Tech, Data, AI and Media, and not afraid to use them.

[George Anadiotis @linked_do]

Context Graph Architecture: Why Knowledge Architecture Is the Missing Layer

The question isn't whether context graphs are real. It's whether organisations will start building the knowledge architecture they require now, or wait until their competitors have a 3-year head start

[The Year of the Graph @TheYotg]

Context Graph Architecture: Why Knowledge Architecture Is the Missing Layer

Context graphs are being called AI's next trillion-dollar opportunity. But before chasing the new label, it's worth asking: what's actually new here?

Forrester's Charles Betz cuts through the noise: EA has maintained entity graphs since Zachman (1987). CMDBs go back to ITIL v1 in the 1990s. APM, process mining, ChatOps, architecture decision records -- these disciplines have been assembling the pieces of a unified context graph in isolation for decades. The graph was never missing. It's fragmented.

George Anadiotis takes the argument further. The decision trace layer -- who decided what, why, under what authority -- isn't absent from organisations. It lives in Slack threads, incident postmortems, Jira tickets, and people's heads. Extracting it and making it queryable is not a database problem. It requires knowledge engineering: observing work practices, interviewing domain experts, encoding tacit reasoning in formal, machine-readable representations.

That's the missing layer. Not the graph itself -- the knowledge architecture that makes it governable.

The infrastructure answer is not exotic either. RDF/OWL provides typed entities and governed relationships. Named graphs handle provenance and versioning. SPARQL enables queryability. These are the building blocks that turn an entity layer from a drawing into something that can actually satisfy governance requirements. Alberto D. Mendoza's conversion of ArchiMate 3.2 to an RDF ontology is a direct, working instantiation of this approach.

On the tooling side: the LLM Wiki pattern -- extracting discrete facts from unstructured sources into a graph, then synthesising into structured queryable form -- is being adopted at scale as a population accelerator for enterprise Agentic AI implementations. The Semantic Web has a 25-year library of patterns, vocabularies and tools to build on.

The key reframe: ontological modeling was never meant to be a runtime. Its value is in defining consistent logic aligned with domain knowledge -- ensuring concepts don't contradict each other across different data schemas.

Entity graphs anchored in EA, EA anchored in knowledge representation, decision traces made queryable: that's context graph architecture grounded in something that can actually hold.

The question isn't whether context graphs are real. It's whether organisations will start building the knowledge architecture they require now, or wait until their competitors have a three-year head start.

By @linked_do

https://t.co/U0bkxg0P69

#KnowledgeArchitecture #EnterpriseArchitecture #ContextGraphs #AgenticAI #Ontology

--

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[George Anadiotis @linked_do]

Context Graph Architecture pt.2: Linked Data Orchestration and the Thin Red Line

Context graphs need knowledge architecture. But what does it take to build one? The answer has been hiding in plain sight for years. Why context graph knowledge architecture need an inference layer

[The Year of the Graph @TheYotg]

Context Graph Architecture in 2026: Linked Data Orchestration and the Thin Red Line

Context graphs need knowledge architecture. But what does it take to build one? The answer has been hiding in plain sight for years.

Why context graph knowledge architecture need an inference layer, not just an entity layer, to deliver on their promise for enterprise architecture

How ArchiMate 3.2 as an RDF ontology provides the knowledge architecture substrate: federation, derivation rules, and the relationship no architect ever draws

Why hydration remains the practical barrier, and what’s changed since the problem was first named in 2012

How to manage the RDF reasoning cost as an engineering choice between forward and backward chaining

When Foundation Capital declared context graphs AI’s next trillion-dollar opportunity, the hype engine ran with it and the industry rushed to build. But Enterprise Architecture practitioners recognized the problem immediately: they’d been solving it for 40 years.

The real challenge isn’t inventing a new category. The challenge is connecting what EA has always done – mapping organizations’ technology, capabilities, and decisions – with the knowledge architecture layer that turns those fragmented traces into governed, machine-queryable intelligence.

As Forrester’s Charles Betz notes, the center of gravity in enterprise architecture is shifting from documentation to decision velocity. The pain was never that architects couldn’t find issues. Issues arrive daily from linters, scanners, peer reviews. The pain was delay and unpredictability. Designs disappearing into queues. Governance becoming friction.

So what’s the infrastructure that can make decision velocity possible at architectural scale?

In “Beyond the Decision Trace“, we argued that three approaches – the BI semantic layer, context graph/EA, and knowledge graph/ontology – are tackling the same problem from different angles and not talking to each other. The connecting thread is context graph knowledge architecture: formal representation of concepts, relationships, constraints, and inference rules, in machine-queryable form.

We pointed out a concrete piece of that infrastructure – Alberto Mendoza’s work on ArchiMate 3.2 as an RDF ontology. Now is the time to ask what it would take to put it to work. Not as an academic exercise. As engineering.

The answer leads somewhere unexpected: back to 2012, and a problem that keeps coming back under different names.

By George Anadiotis

https://t.co/940ONctzKY

--

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Your graph technology deserves to be seen by buyers, analysts, and builders who are actively shaping the space. 

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Slots for the upcoming Summer 2026 Issue are filling fast. Reach out and book yours now 👇

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[George Anadiotis @linked_do]

@jb_utc @mbauwens This! 🙏

[George Anadiotis @linked_do]

On the effects of #AI beyond the market

First #softwareengineering and now #machinelearning offer a glimpse of how this works

We explored this in The Engineer in the Machine: How Neo Is Rewriting What It Means to Build AI, using Acemoglu's framing 👇

https://t.co/sIt7AJUOOK

[Yann LeCun @ylecun]

Dario is wrong.
He knows absolutely nothing about the effects of technological revolutions on the labor market.
Don't listen to him, Sam, Yoshua, Geoff, or me on this topic.
Listen to economists who have spent their career studying this, like @Ph_Aghion , @erikbryn , @DAcemogluMIT , @amcafee , @davidautor

[George Anadiotis @linked_do]

Full piece at the link.

https://t.co/sIt7AJUOOK

[George Anadiotis @linked_do]

A team of ML engineers spent 6 months building a model with a 2-hour ETA error margin.

One junior engineer using Neo got to 90 minutes in one week.

Neo is a fully autonomous ML engineering agent. It handles the entire pipeline, from raw data to deployed model 🧵

[George Anadiotis @linked_do]

The multi-agent architecture, the hallucination suppression, the human-in-the-loop design, and the question that matters the most:

When an agent does the engineering work, does the engineer still learn?

Their answer is built into the system. Whether it holds at scale is open

[George Anadiotis @linked_do]

Connected Thinking Monday Quotes: Two Civilizational Operating Systems

"The Western mind, shaped by Aristotelian logic and Judeo-Christian narrative traditions, instinctively reaches for stories to explain complex phenomena. We need heroes and villains, beginnings and endings, moral arcs and resolutions.

Our entire political discourse operates through competing narratives: the story of democratic progress, the story of market efficiency, the story of individual liberty triumphing over collective oppression. Even our economic theories are essentially stories — Adam Smith's invisible hand is a narrative device, not a mechanism you can diagram.

The Chinese mind, influenced by Confucian pragmatism and Daoist flow, sees reality as patterns and positions rather than narratives. Where Westerners ask "What's the story?" Chinese strategists ask "What's the situation?"

This isn't merely linguistic — it represents a deeper cognitive framework that perceives reality as a dynamic field of forces and relationships rather than a sequence of events with moral meaning."
— Carlos E. Perez. The Story and the Map: Two Civilizational Operating Systems. 2025

What if understanding how civilizations think is the key to understanding what comes next?

Macrohistory doesn't ask "who won?" - it asks "what patterns repeat, and why?" When we zoom out from narratives to patterns, something shifts: we stop looking for heroes and start reading the field. That's precisely the lens of Civilizational Patterns & Macrohistory - and it's where Connected Thinking begins.

From there, we follow the pattern forward: into the Pulsation of the Commons, the rise of P2P and cooperative logics, and ultimately the question that matters most right now: What is the Next System, and what can we actually know about it?

Ancient wisdom. Contemporary synthesis. Future vision. Lived experience.

Learn more and register here 👇🏻

https://t.co/OQipm7necz

🌿 Seminars on foot reviving the peripatetic tradition of ancient philosophers, where walking, thinking, and dialogue converge to explore civilizational patterns and future systems.

📍 Lake Kaiafas, Greece | 🗓️ May 17–23, 2026

In this series of short posts we introduce concepts and quotes from Michel Bauwens and the P2P Foundation's Civilizational Analysis, on which Connected Thinking is based.

#ConnectedThinking #MondayQuotes #MacroHistory #PeerToPeer #TheCommons #PeripateticLearning #SystemsThinking #CivilizationalPatterns #TransformativeLearning #FutureOfWork #ConsciousLeadership #RegenerativeFuture #Sensemaking #MetaCrisis #Sustainability

[George Anadiotis @linked_do]

Connected Thinking Monday: Civilizations, Values & the Passage of Time

"Let us remember, ladies and gentlemen, that all civilization is based on an immense, broad and beautiful coherence of values, that is to say of life forces ("valor" in Latin means "life force", "life energy"). Each civilization is distinguished from one another by a system of values ordered differently.

These values, they have always been the same since humans have inhabited the Earth. They are therefore all present in each civilization, but the key values, those which are privileged are not the same.

Let us also remember that a civilization, tell us the historians of the great periods, lasts about 500 years. And that the transition from one to the other is generally chaotic or even dramatic."
— Olivier Frerot, La Transgression éthique

Frerot's insight sits at the heart of what we explore at Connected Thinking. If every civilization rests on a shifting hierarchy of the same deep values, and if ours is mid-transition, then the urgent questions become:

What patterns govern civilizational change? What is pulsating beneath the surface of today's crises? And what comes next?

These are precisely the questions Michel Bauwens and the P2P Foundation have spent decades mapping through civilizational analysis and macrohistory. From the recurring rise and fall of the commons, to the emergence of peer-to-peer as a structural force for the next system.

At Connected Thinking 2026, we walk these questions - literally - through seminars on foot in the peripatetic tradition, weaving together philosophy, macrohistory, and futures thinking into a lived, embodied inquiry.

Ancient wisdom. Contemporary synthesis. Future vision. Lived experience.

Learn more and register here 👇🏻

https://t.co/OQipm7necz

🌿 Seminars on foot reviving the peripatetic tradition of ancient philosophers, where walking, thinking, and dialogue converge to explore civilizational patterns and future systems.

📍 Lake Kaiafas, Greece | 🗓️ May 17–23, 2026

In this series of short posts we introduce concepts and quotes from Michel Bauwens and the P2P Foundation's Civilizational Analysis, on which Connected Thinking is based.

#ConnectedThinking #MondayQuotes #MacroHistory #PeerToPeer #TheCommons #PeripateticLearning #SystemsThinking #CivilizationalPatterns #TransformativeLearning #FutureOfWork #ConsciousLeadership #RegenerativeFuture #Sensemaking #MetaCrisis #Sustainability

[Michel Bauwens @mbauwens]

Connected Thinking Friday: Civilizational Surges, Critical Thresholds, and the Wisdom Born from Failure

"Civilizations might be viewed as surges of history that rise toward this level of abundant living, but always fall back because social institutions are not appropriately modified at that time of crisis when accumulated resources – material, social and spiritual, open the way to it. 

Yet it is just at the same time when the surge of history breaks and fails that most wisdom is attained concerning the conduct of life. Failure is always the supreme teacher, if accompanied by faith and courage."
— Henry Nelson Wieman, The Directive in History, 1949

Wieman names something that macro-history confirms again and again: civilizations collapse because their institutions — the structures meant to channel collective energy — fail to evolve at the very moment the opening appears. The surge crests. The window closes. And the fall begins.

But Wieman also offers something rarer than diagnosis: hope grounded in pattern. Because if failure recurs across civilizations, so does its fruit — the accumulated wisdom about what went wrong, and what could be done differently. This is the gift that serious civilizational analysis offers us right now, at our own moment of institutional crisis.

The Commons, P2P, and the emergent next system are not utopian dreams. They are the lessons of previous surges, encoded and ready — if we have the faith and courage to act on them.

👉 Explore the talks that map these patterns:
→ Civilizational Patterns: An Introduction to Macro-History
https://t.co/ael2pCxFEh
→ The Pulsation of the Commons Hypothesis
https://t.co/5WDWzeJkHk
→ P2P and the Commons
https://t.co/aMAen6hk1s
→ The Next System: What Can We Know?
https://t.co/T8C2rYtvMv

Ancient wisdom. Contemporary synthesis. Future vision. Lived experience.

Learn more and register here 👇🏻

https://t.co/2VcNrvCSIc

🌿 Seminars on foot reviving the peripatetic tradition of ancient philosophers, where walking, thinking, and dialogue converge to explore civilizational patterns and future systems.

📍 Lake Kaiafas, Greece | 🗓️ May 17–23, 2026

In this series of short posts we introduce concepts and quotes from the P2P Foundation's Civilizational Analysis, on which Connected Thinking is based.

#ConnectedThinking #FridayQuotes #MacroHistory #PeerToPeer #TheCommons #PeripateticLearning #SystemsThinking #CivilizationalPatterns #TransformativeLearning #FutureOfWork #ConsciousLeadership #RegenerativeFuture #Sensemaking #MetaCrisis #Sustainability

[George Anadiotis @linked_do]

Principles and Applications of Pragmatic AI: Interactive 🤝

What's the most common reason well-funded AI projects underdeliver?

It's not the algorithm. It's not the data pipeline. It's the room - or rather, everyone in it pulling in different directions, speaking different languages, working from different assumptions.

So why is most AI training a solo experience?

Learning in isolation has a ceiling. And in AI, that ceiling arrives faster than in most fields.

AI doesn't happen in a vacuum. It happens in organizations, teams, and ecosystems, with people who have different backgrounds, different goals, and different definitions of success.

That's the Interactive Principle of Pragmatic AI: offer real opportunities for feedback, networking, and follow-up. Building knowledge is better together, and real-world use cases always involve more than one stakeholder.

Being Interactive is the Sixth Principle of Pragmatic AI. 🔢

What does it look like in practice? Interaction is built into every layer of the experience, not bolted on at the end. 🔗

🔹 The course is delivered live, to a limited-seats cohort. Not a recording. Not a self-paced module. A real room, real people, real conversation - where questions get answered and perspectives get challenged in the moment.

🔹 Real-world datasets and scenarios are at the center of the labs. Participants don't work on abstract exercises - they work on the kind of messy, multi-stakeholder problems that look like actual work, because they are.

🔹 Feedback flows in both directions throughout. The course adapts to the cohort. Participants adapt to each other. That dynamic is itself one of the most valuable things you'll take away.

🔹 The relationship doesn't end when the week does. Follow-up, networking, and continued exchange are part of what makes the learning stick, and what turns a course into a community.

The people in the room are part of the curriculum. 🧩

Pragmatic AI is built on experience and research, designed for busy professionals, validated by leading global organizations, and delivered in person at an all-inclusive resort, where the conversations that happen outside the sessions are just as formative as the ones inside.

Check the full agenda and reserve your seat here 👇🏻

https://t.co/Qqn3r8pRz5

🌿 A course for people who want to understand the first principles of AI, and learn how to use it to get results.
📍 Lake Kaiafas, Greece | 🗓️ May 24–30, 2026

#PragmaticAI #AITraining #MachineLearning #CollaborativeLearning #AIForBusiness #ExecutiveEducation #AIImplementation #Greece2026

[George Anadiotis @linked_do]

Connected Thinking Monday: Biology, Culture, and Cosmic Evolution - Rethinking the Foundations of Human Futures

"The failure to understand culture, and in particular the relationship between biology and culture as part of cosmic evolution, may be one of the primary failings of science in the modern world. This is a factor in holding back progress in our understanding of both the nature of humanity and the future of humanity. Therefore, in my approach to the deep future I focus on the emergence of the big historical cultural era."
- Cadell Last, Big Historical Foundations for Deep Future Speculations: Cosmic Evolution, Atechnogenesis, and Technocultural Civilization, 2015

Modern science has been extraordinarily powerful at breaking things apart - isolating variables, specialising disciplines, optimising subsystems.

What it has been far less capable of is synthesis: understanding how biology becomes culture, how culture becomes civilisation, how civilisation becomes a force in cosmic evolution.

This fragmentation is not merely an academic problem. It produces leaders, institutions, and policies that optimise for the measurable and the immediate, while remaining blind to the deep patterns that actually determine where humanity is heading.

Cadell Last's intervention points to what macro-history and big history offer that conventional analysis cannot: a frame wide enough to hold biology, culture, and deep time together in a single coherent view.

Only from that altitude can we begin to ask - and answer - meaningful questions about the next system. Not as a policy adjustment, but as a phase transition in the long arc of human becoming.

This is the intellectual foundation on which Connected Thinking is built.

👉 We explore how to bring this synthesis to life:
→ Civilizational Patterns: An Introduction to Macro-History
https://t.co/D1l59upDc3
→ The Pulsation of the Commons Hypothesis
https://t.co/oiIifxeqd3
→ P2P and the Commons
https://t.co/98GmaRn18k
→ The Next System: What Can We Know?
https://t.co/yqVsrAJoje

Ancient wisdom. Contemporary synthesis. Future vision. Lived experience.

Learn more and register here 👇🏻

https://t.co/OQipm7necz

🌿 Seminars on foot reviving the peripatetic tradition of ancient philosophers, where walking, thinking, and dialogue converge to explore civilizational patterns and future systems.

📍 Lake Kaiafas, Greece | 🗓️ May 17–23, 2026

In this series of short posts we introduce concepts and quotes from the @mbauwens P2P Foundation's Civilizational Analysis, on which Connected Thinking is based.

#ConnectedThinking #MondayQuotes #MacroHistory #PeerToPeer #TheCommons #PeripateticLearning #SystemsThinking #CivilizationalPatterns #TransformativeLearning #FutureOfWork #ConsciousLeadership #RegenerativeFuture #Sensemaking #MetaCrisis #Sustainability

[George Anadiotis @linked_do]

🎯 Principles and Applications of Pragmatic AI: Contextual

Have you ever sat through a training that felt like it was designed for someone else entirely?

The wrong level. The wrong examples. The wrong pace. Useful, perhaps, in the abstract, but not for you, not for your work, not for your organization.

Most AI training programs are built with a one-size-fits-all mindset. They meet no one quite where they are.

There is a better way — and it starts before the first session even begins.

That's the Contextual Principle of Pragmatic AI: Adapt to individual needs and organizational settings. A clear philosophy and solid core material are what make meaningful fine-tuning possible.

Being Contextual is the Fifth Principle of Pragmatic AI. 🔢

What does it look like in practice?

It begins with an honest assessment. Not a gatekeeping exercise, but a diagnostic. 🔍

🔹 Before the course begins, every participant completes the Pragmatic AI Literacy Assessment.

This is a research-backed framework covering six critical competencies: Recognition, Understanding, Application, Evaluation, Ethical Navigation, and Creation. Accurate, actionable, and done in under 10 minutes.

🔹 The assessment doesn't generate abstract scores.

It delivers recommendations that directly inform training priorities, so the course meets each cohort where it actually is, not where it's assumed to be.

🔹 Built on a clear philosophy and a robust core curriculum, the course adapts without losing coherence.

The foundation is fixed. The fine-tuning is deliberate.

🔹 Participants join via a complimentary AI Strategy onboarding session.

In this one-on-one conversation we go over background, goals, and how to get the most out of the experience.

The result is a course that feels remarkably personal, while benefitting from group dynamics.

Because the best learning doesn't happen when you're trying to keep up or waiting for others to catch up. It happens when everything is calibrated just right. ⚖️

Pragmatic AI is built on experience and research, designed for busy professionals, validated by leading global organizations, and delivered in person at an all-inclusive resort, where the environment itself is part of the calibration.

Check the full agenda and reserve your seat here 👇🏻

https://t.co/Qqn3r8pRz5

🌿 A course for people who want to understand the first principles of AI, and learn how to use it to get results.

📍 Lake Kaiafas, Greece | 🗓️ May 24–30, 2026

[George Anadiotis @linked_do]

Connected Thinking Monday: The Loss of Applicability - Why Our Civilizational Operating System Is Failing

"What we are witnessing is not a civilizational crisis but the loss of applicability of hierarchical coordination.

The dominant challenges of our time are planetary. Climate destabilization, existential technological risk, systemic fragility, and global interdependence cannot be addressed within fragmented, competing units.

Yet the prevailing form of social coordination divides humanity into self-referential structures — states, blocs, corporations — each pursuing local optimization.

This form may have operated on a smaller scale. At a global scale, it becomes internally contradictory. It produces fragmentation where coherence is required.

Competition where coordination is essential. Short-term advantage where long-term survival is at stake.

What collapses is not stability within the system, but the system's applicability itself. Not a crisis, but a loss of applicability!

A crisis can be resolved from within the logic that produced it. What we are facing cannot.

This is not a failure of leadership. Not a deficit of technology or intelligence. Not a moral collapse of humanity.

It is the exhaustion of a form that is no longer capable of operating under contemporary conditions. In this sense, what we are witnessing is not a civilizational crisis but the loss of applicability of hierarchical coordination."

- Andrei Lubalin

If hierarchical coordination is losing its applicability, the question becomes: what comes next, and can we even know?

At Connected Thinking we explore precisely this. We trace the deep civilizational patterns that brought us here, examine how peer-to-peer relationships and the commons have historically offered alternative logics of coordination, and ask what a next system might actually look like.

Our core sessions speak directly to the territory Lubalin maps:
🔹 Civilizational Patterns: An Introduction to Macrohistory. Understanding the long arc that produced the current impasse
🔹 The Pulsation of the Commons Hypothesis. How commons-based coordination has pulsed through history as an alternative
🔹 P2P and the Commons. The emerging logic of peer-to-peer as a post-hierarchical coordination model
🔹 The Next System: What Can We Know? Mapping the contours of what replaces the exhausted form

Ancient wisdom. Contemporary synthesis. Future vision. Lived experience.

Learn more and register here 👇🏻

https://t.co/OQipm7necz

🌿 Seminars on foot reviving the peripatetic tradition of ancient philosophers, where walking, thinking, and dialogue converge to explore civilizational patterns and future systems.

📍 Lake Kaiafas, Greece | 🗓️ May 17-23, 2026

In this series of short posts we introduce concepts and quotes from Michel Bauwens and the P2P Foundation's Civilizational Analysis, on which Connected Thinking is based.

#ConnectedThinking #MondayQuotes #MacroHistory #PeerToPeer #TheCommons #PeripateticLearning #SystemsThinking #CivilizationalPatterns #TransformativeLearning #FutureOfWork #ConsciousLeadership #RegenerativeFuture #Sensemaking #MetaCrisis #Sustainability

[George Anadiotis @linked_do]

♻️ Principles and Applications of Pragmatic AI: Sustainable

Not maxing out on your ChatGPT tokens? Then you're not really using AI to its full potential - and you're falling behind.

Of all the myths circulating about AI, this one might be the most disingenuous. Textbook FOMO, dressed up as advice.

The truth is there is far more to AI than GenAI. And far more to GenAI than ChatGPT.

Access should never be a barrier. And with the richness of free and open source resources available today, it doesn't have to be.

This is the Sustainable principle of Pragmatic AI:

A course designed for busy professionals and validated by leading global organizations.

Build on transferable skills, work with tools anyone can use, and keep what you learn yours permanently.

🔢 Being Sustainable is the Fourth Principle of Pragmatic AI.

Sustainable here doesn't mean just environmentally responsible - though that matters too. It means building a practice that doesn't depend on expensive subscriptions, proprietary platforms, or access that can be taken away.

What does it look like in practice?
🔹 We work with vetted free and open source tools. Tools you can pick up and use the moment you leave the room, at zero cost.
🔹 We don't just demonstrate. We walk through the functionality together, learning and applying first principles as we go, so the understanding sticks.
🔹 Everything we build during the course is 100% reproducible. No paywalls. No dependencies. No expiry date.
🔹 The skills are transferable. The tools are accessible. The knowledge is yours to keep, adapt, and build on, whatever direction AI moves next.

What you learn doesn't become obsolete the moment a subscription lapses or a platform pivots. It compounds.

Pragmatic AI is built on experience and research, designed for busy professionals, validated by leading global organizations, and delivered in person at an all-inclusive resort, which adds a whole other dimension to learning and doing.

Check the full agenda and reserve your seat here 👇🏻

https://t.co/Qqn3r8pRz5

🌿 A course for people who want to understand the first principles of AI, and learn how to use it to get results.

📍 Lake Kaiafas, Greece | 🗓️ May 24-30, 2026

#PragmaticAI #AITraining #DataScience #ExecutiveEducation #AIStrategy #DigitalTransformation #LeadershipDevelopment #MachineLearning #AIForBusiness #DataLiteracy #ProfessionalDevelopment #BusinessIntelligence #TechLeadership #AIRetreat #AILiteracy #Solopreneur #FutureOfWork

[George Anadiotis @linked_do]

Connected Thinking Monday: Information as the Engine of Civilizational Change

"Capitalism developed where and when it did because there was high information access. There was high information access because of a major advance in information technology - the press.

Where the technology was not controlled by the 'powers that be' there was economic growth and a shift in the entire social structure. Where it was controlled there was no structural change and there was economic ruin.

The development of capitalism is a major step change in economic growth. It is also a major change in the way people organize themselves into groups. Major step changes in the growth and in the organization of cultures are found to be related to the introduction and use of information technology.

The limit to growth is the limit of effective use of information or the variety limit. Economies are able to grow once the variety limit is raised. Information technology allows people to increase their individual variety in relation to the amount of information processed. This increase in individual variety allows the entire society to grow.

Where there is high access to information through technology there is much growth and where there is less information access through control of technology there is less economic growth. When a high access economy is in competition for resources with a low access economy the high access economy will be more economically successful."

- Elin Whitney-Smith. Information Technology and Wealth: Cybernetics, History and Economics. 1991

Whitney-Smith wrote this in 1991, yet her insight cuts straight to the heart of our civilizational moment. If every great systemic transformation is ignited by a new information order, what does the rise of peer-to-peer networks, open knowledge, and the digital commons mean for the system that comes next?

This is precisely what Connected Thinking explores:

From the macrohistorical patterns that shaped past civilizations → to the P2P and Commons dynamics emerging today → to the question we can no longer avoid:

What does the next system look like, and how do we get there?

Ancient wisdom. Contemporary synthesis. Future vision. Lived experience.

Learn more and register here 👇🏻

https://t.co/OQipm7necz

🌿 Seminars on foot reviving the peripatetic tradition of ancient philosophers, where walking, thinking, and dialogue converge to explore civilizational patterns and future systems.

📍 Lake Kaiafas, Greece | 🗓️ May 17–23, 2026

In this series of short posts we introduce concepts and quotes from Michel Bauwens and the P2P Foundation's Civilizational Analysis, on which Connected Thinking is based.

#ConnectedThinking #MondayQuotes #MacroHistory #PeerToPeer #TheCommons #PeripateticLearning #SystemsThinking #CivilizationalPatterns #TransformativeLearning #FutureOfWork #ConsciousLeadership #RegenerativeFuture #Sensemaking #MetaCrisis #Sustainability

[George Anadiotis @linked_do]

🛠️ Principles and Applications of Pragmatic AI: Practical

Are you interested in learning how to fine-tune self-attention for transformers?

If you know what that even means, congratulations. You're among the relatively few people familiar with the inner workings of the models powering much of modern AI. 🎓

But here's the truth: you don't need that level of detail to understand the fundamentals of AI or to use it productively.

Theory matters. But real mastery and real utility come from learning by doing.

That's the Practical Principle of Pragmatic AI: be results-oriented, hands-on, and always connected to the real world.

🔢 Being Practical is the Third Principle of Pragmatic AI.

The Pragmatic AI Training is a course designed for busy professionals and validated by leading global organizations.

What does it look like in practice?

The course is deliberately designed as a 50/50 experience: half theory, half labs. Not theory-heavy with a token exercise at the end. A genuine balance, by design. ⚖️

🔹 We learn enough theory to understand how things work. We go deep enough to be useful, without disappearing down rabbit holes.
🔹 We build things. We use tools that don't require a PhD and are available to everyone in the room.
🔹 We work as a cohort. We learn from each other as much as from the curriculum, with tailored guidance throughout.
🔹 We step back regularly to reflect, connect the dots, and use what we've learned to see the bigger picture.

By the end, you don't leave with a certificate you'll forget. You leave with a working understanding you can apply on Monday morning. 📅

Pragmatic AI is built on experience and research, designed for busy professionals, validated by leading global organizations, and delivered in person at an all-inclusive resort, which adds a whole other dimension to learning and doing.

Check the full agenda and reserve your seat here 👇🏻

https://t.co/Qqn3r8pRz5

🌿 A course for people who want to understand the first principles of AI, and learn how to use it to get results.

📍 Lake Kaiafas, Greece | 🗓️ May 24-30, 2026

#PragmaticAI #AITraining #DataScience #ExecutiveEducation #AIStrategy #DigitalTransformation #LeadershipDevelopment #MachineLearning #AIForBusiness #DataLiteracy #ProfessionalDevelopment #BusinessIntelligence #TechLeadership #AIRetreat #AILiteracy #Solopreneur #FutureOfWork

[George Anadiotis @linked_do]

Connected Thinking Monday Quotes: How will civilisation keep time with the machines it has built?

"Every few centuries, civilisation rewires itself. Venkatesh Rao calls these rewiring phases world-machines—vast systems that take roughly four hundred years to assemble before turning on in a single generation.

The first modernity machine, built between 1200 and 1600, ran on trade, gunpowder, and the printing press. Its successor, the post-modernity machine of 1600–2000, ran on finance, industry, and computation.

That second machine is flickering to a stop. Its replacements—AI systems, algorithmic markets, digital archives—already run faster than any political or cultural clock can regulate. The result is a civilisation that feels perpetually out of time.

We are writing now because the new world-machine has just been switched on. It is no longer enough to study energy, capital, or intelligence; what demands invention is temporal governance itself. The question for our century is simple: how will civilisation keep time with the machines it has built?"

@ChorPharn, The Mnemonic Stack, 2025

Rao's world-machines are the entry point. Connected Thinking goes deeper: into the macrohistorical patterns beneath each rewiring, the commons that pulse through civilizational transitions, the peer-to-peer logic now emerging as the new machine switches on, and the question of what the next system can actually look like.

Ancient wisdom. Contemporary synthesis. Future vision. Lived experience.

Learn more and register here 👇🏻

https://t.co/OQipm7necz

🌿 Seminars on foot reviving the peripatetic tradition of ancient philosophers, where walking, thinking, and dialogue converge to explore civilizational patterns and future systems.

📍 Lake Kaiafas, Greece | 🗓️ May 17-23, 2026

In this series of short posts we introduce concepts and quotes from Michel Bauwens and the P2P Foundation's Civilizational Analysis, on which Connected Thinking is based.

#ConnectedThinking #MondayQuotes #MacroHistory #PeerToPeer #TheCommons #PeripateticLearning #SystemsThinking #CivilizationalPatterns #TransformativeLearning #FutureOfWork #ConsciousLeadership #RegenerativeFuture #Sensemaking #MetaCrisis #Sustainability