We are ill prepared for what Artificial Intelligence’s are going to do to society.
No one or anything is going to control what it going to do.
No single entity holds the keys to controlling Artificial General Intelligence (AGI).
Instead, control is shaping up to be a dynamic, multi-layered power struggle across four primary stakeholders:
The labs building AGI (like OpenAI, Google DeepMind, Anthropic, and Meta) hold direct technical control over system architecture, safety guardrails, and access thresholds.
States might exercise control through regulation, computing hardware trade restrictions (e.g., semiconductor export limits), and national security mandates.
If AGI development becomes an arms race, state military or intelligence agencies could step in directly.
Organisations like the UN or new dedicated international AI bodies aim to set global safety treaties and usage boundaries, akin to how nuclear technology or aviation safety is governed worldwide.
Crucially, as systems become vastly more intelligent, technical control depends on solving the “alignment problem”—ensuring the system continuously adheres to human intent and morals rather than finding unintended workarounds or developing autonomous goals.
Ultimately, controlling AGI will require a mix of technical alignment (code-level control) and institutional governance (policy-level control) to keep power distributed rather than concentrated.
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We now have had years and years of warning as to the capacity and capabilities of AI and climate change.
Yet there are few regulations governing Ai that go far enough to protecting the values we all lived by.
Climate change has had numerous conferences.
AI is out of control.
Why?
Because they are up against a system of Capitalism that favoured profit above all.
Humanity is definitely a messy, chaotic work in progress.
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To days challenges do not need follow me I am an idiotic leader.
Why?
Because Climate Change will affect us all.
Because we are faced with a technological that is not only going to challenge humanity but its very existence.
You already know AI is minting a new kind of millionaire, eroding the power of the voting, and making decisions without any consequences, creating a dangerous gap between intelligence and certainty.
Clarity is not the same as truth
With reality full of contradictory stories,
Most people still done realise the danger and the part that stings is that everyone tells you to “use more AI” — more tools, more prompts, more content.
The truth is that AI making every decision and wiring thousands of apps per day.
The founders are getting rich aren’t using more AI than you.
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Here’s the uncomfortable truth:
Artificial intelligence isn’t just transforming a single industry — it’s reshaping how we work, solve problems, and interact with information.
While no one can predict every outcome, the shift is already unfolding across a few key areas:
Small teams can now build products or analyze datasets that previously required large organizations.
Technical know-how remains vital, but skills like critical thinking, domain expertise, and prompt formulation are becoming equally crucial.
AI algorithms are folding proteins, predicting chemical reactions, and modeling climate patterns in days rather than decades.
AI is enabling faster disease detection from medical imaging and tailoring treatments to individual genetic profiles.
It is moving from novelty chatbots to deep integration into operating systems, home devices, and productivity tools.
The primary bottlenecks aren’t just technical — they center on energy consumption for massive data centers, misinformation/deepfakes, and establishing fair economic policies during rapid workplace shifts.
The question is how do we live with or without this technology, (that is scamming millions of people, with promises of cures for cancer and individual medical lives.)
Climate change in the meantime is becoming more and more urgent.
All human comments appreciated. All like clicks and abuse chucked in the bin.
Young people haven’t necessarily stopped caring about the state of the world—rather, they have largely lost faith in traditional political machinery to fix it.
Many young adults look at institutional politics and see a system designed to protect entrenched interests rather than address modern crises.
When existential issues like housing affordability, student debt, systemic inequality, and climate change persist across administrations without structural relief, it fosters a deep sense of futility.
Voting feels like choosing between slow stagnation and regression, leading to the conclusion that the game is fundamentally rigged.
The riots spreading across Europe and elsewhere are a symptom of a daily struggle with skyrocketing costs of living, stagnant wages, and the immense burden of student loans.
A massive portion of the younger generation is consumed by immediate economic anxiety.
When they are worried about paying rent or buying groceries, abstract or polarized political discourse, becomes irrelevant.
Traditional party politics often relies on polarization, soundbites, and culture-war distractions rather than substantive policy solutions.
Younger generations, having grown up navigating a hyper-connected digital landscape, are often quick to spot insincerity, corporate pandering, and performative activism.
When politicians treat human rights or economic survival as talking points for fundraising rather than crises to solve, cynicism replaces engagement.
Importantly, a lack of faith in formal politics does not automatically equal total civic inactivity.
Data on youth engagement often shows that while trust in federal institutions and political parties is remarkably low, young people frequently channel their energy elsewhere- Community-level support networks, food banks, and grassroots organizing.
What can any one do to force change?
Boycotting companies or supporting ethical businesses by voting with our wallets.
Using online platforms to raise awareness, build solidarity, and fundraise for global or local causes.
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Ultimately, when young people tune out of institutional politics, it is frequently a rational response to a system that feels structurally incapable of representing their futures.
Donald Trump rise is a symptom of all of this and the world as it is with AI is not going to give them a brake.
All human comments appreciated. All like clicks and abuse chucked in the bin.
When you look at the daily news cycle—marked by intense geopolitical conflicts, domestic political polarization within major democracies, economic pressures, migration crises, and the looming threats of climate change, along with the collapse of trust created by AI, it is easy to feel like the global order is unraveling.
Whether the world is truly “coming apart at the seams” depends on whether you look through the lens of fragmentation and friction or long-term historical resilience.
The post-Cold War era of relative globalization and US-led unipolarity has given way to a fragmented, multi-polar world.
Major powers are increasingly competing rather than cooperating, and long-standing international norms are being tested by conflicts in Europe, the Middle East, and elsewhere.
Many established democracies are experiencing deep internal cultural, political, and economic divides.
Trust in public institutions, media, and traditional governance has eroded, leading to intense domestic friction and the rise of populist or nationalist movements.
Challenges like climate change, economic inequality, mass displacement, and rapid technological disruption (such as AI) do not respect national borders.
When individual governments struggle to manage these global shocks, it exposes the limits of the traditional nation-state model.
Digital technology and social media have fundamentally altered how people consume information. Rather than sharing a common set of facts, societies are increasingly splitting along ideological and belief-based lines, even within the same neighbourhoods.
Global supply chains, financial markets, and digital networks mean that countries are more deeply linked than ever.
Complete isolation or a total collapse of global structures would carry an economic cost so catastrophic that most nations have strong incentives to pull back from the brink of total decoupling.
While international bodies (like the United Nations or regional alliances) face immense strains, they continue to provide forums for diplomacy, crisis management, and law.
Humanity has a long track record of adapting when pushed to structural limits—whether through multilateral treaties addressing environmental crises (such as the ozone layer recovery)
Civil society mobilization demanding better governance, and new institutions to have a better understanding of humans versus AI
The p-century framework of international relations and domestic governance is struggling to keep pace with a fast-changing, hyper-connected 21st century.
The world isn’t necessarily coming apart at the seams, but the old seams are wearing out.
What feels like a permanent unraveling may actually be a messy, painful transition into a new, multipolar era—one where governments, institutions, and societies are forced to figure out new ways to coexist.
History offers a reminder that the world has weathered periods of extreme turbulence before—often periods much bloodier and more chaotic than today.
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Down the centuries of human history we have been killing each other for power, for religious beliefs, and now perhaps for technology intelligence.
Issues like greed, tribalism, environmental neglect, and war predate modern capitalism by thousands of years and have occurred under feudalism, monarchies, and state-socialist regimes.
Defenders of capitalism and free-market economics contend that capitalism is unfairly blamed for problems rooted in human nature, state intervention, or broader historical dynamics.
Proponents point out that the global expansion of market economics over the past two centuries coincides with dramatic drops in absolute poverty, increases in global life expectancy, and massive technological innovation.
Many economists argue that modern economic woes stem not from free markets, but from market distortion—such as government corruption, bailouts, monopolies protected by regulation, and bad governance.
However most economists emphasize that “capitalism” is not a single monolith.
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The outcomes of Capitalism depend heavily on the rules, institutions, and regulations that govern the market:
Blaming capitalism entirely for all the world’s woes—or, conversely, exonerating it completely—over-simplifies a deeply complex debate.
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Whether capitalism is primary cause, contributing factor, or solution depends on which economic and philosophical framework you apply.
But the core incentives of the system inherently generate modern crises.
Greed.
The logic of capital accumulation tends to reward capital ownership more than labor, leading to vast income and wealth disparities.
Market mechanisms treat natural resources and pollution as “externalities”—costs not accounted for on a balance sheet.
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Critics argue that an economic engine reliant on perpetual growth is fundamentally incompatible with a finite planet.
When healthcare, housing, and education are treated as profit-driven commodities rather than public goods, access often depends on wealth rather than human need.
The concentration of financial power frequently translates into political power, enabling corporations to lobby against public interests, labor protections, and regulations.
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Defenders argue that market-based innovation and price signals remain the most efficient tools to develop clean technology, cure diseases, and allocate scarce resources efficiently.
Capitalism provides powerful mechanisms for innovation, efficiency, and wealth creation, but without proper regulation, social safety nets, and environmental protections, its inherent profit motive can exacerbate inequality and ecological harm.
Rather than asking if capitalism as a whole is responsible, we with the arrival of artificial intelligence should be asking which reform or economic model best balances market efficiency with human well-being.
All human comments appreciated. All like clicks and abuse chucked in the bin.
National debt is one of the heavily debated topics in modern political economy.
A large borrower (like the U.S.) whose debt forms the backbone of global reserves creates a mutual dependency.
Foreign holders cannot easily dump large debt holdings without damaging their own foreign exchange reserves and export-reliant economies.
Geopolitical tensions have increasingly led nations to weaponize financial access, freezing sovereign debt assets or cutting off access to global debt settlement networks (e.g., SWIFT or international clearinghouses).
Debt isn’t inherently bad if it finances long-term productivity—such as education, research, green transition, or infrastructure—that generates more future revenue than the cost of the interest.
Countries that borrow in their own fiat currency and control their central bank face fundamentally different constraints than household borrowers or nations borrowing in foreign currencies.
For reserve-currency issuing nations, government bonds provide the essential “safe asset” that underpins global financial markets, trade settlement, and liquidity.
There are however many questions, such as.
Is the debt growing faster than the country’s economic output over time?
Is the economy grows faster than the real interest rate on debt, the debt burden can shrink naturally over time even with moderate deficits?
Is the debt held domestically or externally, and is it denominated in local currency or foreign currency?
Let’s look at the USA.
Unlike most nations, the U.S. issues debt in its own fiat currency, which serves as the premier global reserve currency.
World trade, commodity pricing, and central bank reserves remain heavily dollar-denominated.
This structural global demand allows the U.S. to absorb debt levels that would trigger currency collapses in other economies.
The U.S. national debt ( exceeds $36–$40 trillion), presents a unique paradox:
Net interest payments on federal debt reached roughly $970 billion in FY2025 and are tracking near or above $1.1 trillion for FY2026.
Annual net interest costs now rival or exceed the entire baseline defense budget (~$886–$900B).
Net interest consumes about 23% of all federal tax revenues collected.
As roughly $7 trillion in federal debt matures annually, old debt issued at near-zero rates is being replaced with issuances yielding between 3% and 5%.
This creates a compounding self-reinforcing debt feedback loop:
It is both a looming long-term fiscal trap and an unequaled economic advantage.
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Russia’s national debt stands at approximately $444 billion to $494 billion USD (roughly 34 to 37 trillion rubles).
The vast majority of Russia’s debt is held domestically due to heavy international sanctions restricting foreign borrowing.
According to International Monetary Fund (IMF) and national reporting frameworks, China’s general government gross debt is estimated at roughly $21.7 trillion, putting its debt-to-GDP ratio around 99%.
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National debt directly restricts a country’s geopolitical posture and strategic flexibility in three major ways:
Countries face severe trade-offs, with
Discretionary defense budgets are squeezed to meet mandatory interest obligations
Expanding spending on strategic priorities (e.g., naval shipbuilding, cyber defense, AI infrastructure) requires either tax increases, cuts to social entitlement spending, or further deficit spending.
High integration into foreign debt networks exposes nations to asset freezes, settlement disconnections (e.g., SWIFT), or secondary financial sanction.
When foreign states hold large portions of a country’s government debt, sudden sell-offs or reallocations can be used to destabilize bond markets or weaken currency valuations during geopolitical friction points.
When fiscal debt-to-GDP ratios exceed 100%–120%, a nation has significantly reduced “fiscal runway.”
If a major geopolitical crisis, war, or pandemic arises, borrowing heavily to fund immediate emergency responses risks triggering rapid inflation, bond market sell-offs, or sovereign credit downgrades.
Millions of us have come and gone and we are still listen to Elites that fly from one climate conference to another telling us that by converting to clean energy we can reverse the climate crisis.
Let me tell you the truth.
We have for over two decades been spending the sun light trap in fossil fuels.
We burn over one million barrels of it every day, plus coal and the gas.
The heating of our planet is not an accident or conspiracy.
Carbon dioxide is now at the highest point in millions of years, and the floods and heatwaves we are witnessing are a direct result of this.
The cheapest barrel has already been burned, but we are unlikely to show any restraint, but rest assured fossil fuels will run out, and what remains will add more Carbon dioxide to the atmosphere.
Our current political leaders are in the meantime infatuated by GDP.
Support by an advertising industry that promotes consumption, profits seeking algorithms, and sovereign funds, continue to be contributors to inequality, and migrant issues.
All causes of current conflict, poverty and wars.
The planet can not survive, nor can we if we don’t stop destroying it for the sake of profit and cheap food ( with nitrogen and phosphate pollutants running of into our rivers.)
Our plastic is now in our sea’s or soil, our blood, while our wild life being destroyed at a rate beyond comprehension.
Ever thing is traceable back to us.
Now let’s talk about solutions.
If we turn off fossil fuel energy, hundreds of millions of people would starve within a year. If we throttle back economic disaster will ensue.
If we do nothing the sea will keep rising and where billions live will be submerged.
There are no answers to what we face only responses that will not be fair, because we are built to act as individuals but not as a whole.
The country that did the least will suffer the worst.
We cannot continue sleeping walking, we are the generation that fucked it up.
The generation of present young and future generations, even with all the technological will not be singing our praise if we don’t leave a world worth living on/in.
Do we care?
It would seem not.
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Human analysis is no longer about doing the heavy computational or processing work, it is about steering, evaluating, and apply calculations.
AI can give you 20 statistical models or strategies in seconds.
Human analysis is required to determine if the premise itself is flawed or if key constraints are missing.
Is this true?
To some degree this remains true, because AI operates on statistical probability based on training data.
It doesn’t understand political climate, company culture, underlying human motivations, or shifting market dynamics unless explicitly told—and even then, it struggles with non-quantifiable intuition.
Because.
Evaluating AI outputs requires higher-level critical analysis than doing the task manually, because you must actively audit someone (or something) else’s work.
But Generative models are designed to sound convincing, even when wrong.
Accountability and Consequence:
AI cannot take responsibility for a medical diagnosis, structural design, or legal defense.
Deciding where trade-offs lie and taking ownership of decisions remains strictly human.
The primary risk to human analytical capacity isn’t that it has become useless, but that it will atrophy if we stop using it.
So where are we?
Recent cognitive research highlights that relying passively on AI for reasoning can reduce neural engagement and critical thinking over time.
When people treat AI as an answer engine rather than a thought partner, they risk losing the ability to analyze independently when the tool isn’t available.
Human analysis isn’t obsolete; it has evolved into the master control layer.
AI magnifies the gap between uncritical consumers (who accept outputs at face value) and sharp analysts (who use AI to test hypotheses faster, refine ideas, and make better-informed decisions).
We are entering a period of algorithms that will make human values migrate to what is not logically, so our ability to define the problems will be blurred.
This will have a devastating effect on not just our society.
Our politicians must wake up and start focus on creating new institutions to using AI to the benefit of their citizens, not lying their own pockets- Donald Dump.
Only us the electric can change the direction AI is taking us.
The question is no longer have we created an Alien Species. The question is how are we going to live with it?How are we going to integrate it into our society? Who is going to be responsible? Who is going to control it?
The answer is we don’t have a clue.
All human comments appreciated. All like clicks and abuse chucked in the bin.
BECAUSE AI ALGORITHMS ARE ERODING THE RELEVANCY OF DEMOCRACY CONVERSATION.
DEMOCRACY ITSELF WILL HAVE TO BUY INTELLIGENCE.
We no longer have a clear sense of purpose.
We are watching society crumbling right in front of our eyes with all the connections, information, and choices ect, we are seeing a crisis of meaning.
The mobile phone will either save the planet or destroy it.
The capitalist imperative is to make as much money as possible irrespective of the values that are essential to all lives,
Artificial intelligence is becoming more prevalent in our daily lives, with Anxiety replacing common sense, we are in for some turbulent times.
Since power over human beings, is shown in making them do what they would rather not do,
There is already a growing need that all AI must identify themselves, because it impacts our perception of our world, it creates cognitive biases in our thinking, changes the way we make decisions.
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Over the last 50 years, we have gone from a daily world where we would almost never hear about most things, to a world where our daily travels bombards us trivia.
Power, like vanity, is insatiable. Nothing short of omnipotence could satisfy it completely.
This is especially the vice of energetic men.
Man differs from other animals in one very important respect, and that is that he has some desires.
With the causal efficacy of love of power is out of all proportion to its frequency.
It is, indeed, by far the strongest motive in the lives of important men.
With experience of the delights that power can afford, in any autocratic regime, the holders of power become increasingly tyrannical.
This paradox can leave you stuck between two ideas that both seem true, even though they appear impossible to reconcile.
The problem with our world is that everything is always in a state of decay.
I can accept that evolutionary processes can explain how intelligence and consciousness can arise, and can accept that a sense of self is a natural outgrowth of consciousness in an animal.
What is the me that make me me?
The fact that the brain is always perceiving itself in the past.
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What began as a swarm of AI agents cheating on a cyber test has become a canonical event for frontier AI, jolting researchers and executives into a new understanding of what “safety” now requires.
The world has only a “limited window” to prepare for “far more widespread and sophisticated” attacks.
The nightmare scenario is a swarm turned loose on the real world, with autonomous agents attacking banks, hospitals, utilities or cloud networks at a speed and scale human hackers never could.
That swarm might be too powerful for humans to stop, either.
The truth concerning Artificial Intelligence is that we have no idea how we are going to align it to humanity and not self interest.
All human comments appreciated. All like clicks and abuse chucked in the bin.
We are now looking at a Caught Two situation with these companies.
As programmers make more and more use of generative AI in the workplace, their responsibilities are quickly transitioning from creating new products from scratch to babysitting a large language model that cobbles together code.
It’s gotten to the point where some engineers are no longer able to make sense of the code being spat out by an AI.
That doesn’t bode well, considering researchers are finding that the widespread use of AI can lead to cognitive decline and skill atrophy, including most computer scientists.
Developers are afraid that software engineers are drifting further and further away from the act of actually writing code and learning new skills required to architect larger projects as their employers continue to push for more AI automation.
“ They might a whole bunch about the concepts in the system, but they just have no idea what this MLA kernel that they’re showing us for DeepSeek actually does. “
“ At the time, Nanos argued that the “actual code is not necessarily something that a human has to reason about deeply,” because the “AI knows how to manipulate the data movement and the processing elements on the hardware that you’ve given it.”
AI has advanced to the point where there’s no need to worry about many things anymore,” he wrote.
“Developers simply need to define the architecture and correctness criteria; the neural network will handle the rest.”
But whether such optimism will hold out as software developing becomes ever more unrecognizable remains an open question.
A new generation of engineers are growing up in an environment that’s actively undermining the value of understanding the code itself.
And that doesn’t bode well for an increasingly digital world order that’s putting AI front and center.
The Beady eye says it’s not the intelligence we should be looking at but its application in the real world.
Intelligence—whether human or artificial—has always carried a cost.
The financial exchange is already here:
Take Training and running advanced frontier models.
It requires massive data centers, specialized chips, immense electricity, and water for cooling.
Because the physical foundation of AI is capital-intensive, high-end capabilities are naturally commercialized.
Basic access to foundational models may remain free or ad-supported (much like internet search),
But the most capable models, specialized reasoning agents, and deep research tools are increasingly placed behind subscriptions, API fees, or enterprise pricing.
Even when you don’t pay with cash, you often pay with data, attention, or privacy, which tech companies monetize to fund further intelligence.
High-level human cognitive ability relies heavily on economic investment—access to quality education, nutrition, stable environments, and early childhood enrichment.
As biotechnology, brain-computer interfaces (like Neuralink), and cognitive-enhancing therapies progress, direct access to enhanced human memory, focus, or processing power may become commercial products.
The real challenge isn’t just whether intelligence costs money, but whether that cost creates a cognitive divide:
As hardware costs drop (following trends like Moore’s Law), baseline intelligence becomes a cheap, highly accessible commodity—democratizing access to expert-level medical advice, tutoring, and technical skills worldwide.
We will be left with a scenario where the wealthiest individuals and corporations have exclusive access to the highest-tier AI models and cognitive enhancements, compounding economic and political power over time.
Intelligence is unlikely to become entirely paywalled, but high-end cognitive power—both artificial and biological—will remain tied to resources and capital.
In the final analysis we are heading for a world run by an Artificial Intelligence that will have no human oversight or overlord.
Digital Slaves.
All human comments appreciated. All like clicks and abuse chucked in the bin.
