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🌐Why it isn’t mad to oppose the World Economic Forum🌐
January 01, 2023
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The World Economic Forum (WEF) and its long-serving founder and Executive Chairman, Professor Klaus Schwab, are the subjects of many insane conspiracy theories. This NGO, which again this January will bring together politicians, business leaders, journalists, academics, and assorted celebrities in Davos, has been accused, among other things, of being a secret cabal of paedophiles who used the Covid-19 pandemic to harvest children’s blood so as to hasten in a Satanic New World Order.

It isn’t mad, however, to regard the WEF as a dangerous force in global politics. The WEF is a dangerous force in global politics. To adapt Joseph Heller, just because you are paranoid, doesn’t mean the WEF isn’t after you. A shared distrust of the WEF brings together anti-capitalists on the left and culture-warriors on the right. But that distrust is based on a misunderstanding of what the WEF is these days really all about.

For many WEF critics, the vileness of the organisation can be encapsulated in one word: ‘neoliberalism.’ It’s a term that conjures up images of plutocrats and untrammelled markets ravaging the planet and exploiting blue-collar folk in the name of profit. Funnily enough, Chairman Schwab agrees with that assessment of the world’s ills. Once upon a time, the WEF prioritised the necessity and benefits of economic globalisation. That has not been the case for many years, however. In October 2020, Schwab stated that:

[S]hibboleths of our global economic system will need to be re-evaluated with an open mind. Chief among these is the neoliberal ideology. Free-market fundamentalism has eroded worker rights and economic security, triggered a deregulatory race to the bottom and ruinous tax competition.

Precisely how and where ‘free-market fundamentalism’ has run amuck remains a mystery. After all, we live in a world in which most governments in developed nations routinely control 40 per cent or more of their nation’s GDP.

Nor does the regulatory and welfare state’s relentless growth in, say, the European Union, Britain and America suggest that free market radicals have been in charge in Brussels, London or Washington for decades. As for China, since 2008, its Communist party leadership has been steadily reasserting state control over an economy that was only ever very partially liberalised.

To adapt Joseph Heller, just because you are paranoid, doesn’t mean the WEF isn’t after you

Ignoring these inconvenient facts, Schwab believes that the world needs a ‘Great Reset.’ Covid, according to the WEF’s website explaining the global reboot awaiting the world, revealed all the ‘inconsistencies, inadequacies and contradictions of multiple systems – from health and financial to energy and education.’ The entire planet needs a new ‘social contract’ to reshape ‘the future state of global relations, the direction of national economies, the priorities of societies, the nature of business models, and the management of a global commons.’

That’s quite a list. But what adjectives, I ask, should be used to describe an outfit that proposes to coordinate the reorganisation of 8 billion souls, 195 countries, international relations, social policy writ-large, and a $104 trillion global economy? Words like ‘delusional’ and ‘megalomaniacal’ come to mind.

A key concept for Schwab’s vision of a reset world is ‘stakeholder capitalism.’ In his 2021 book Stakeholder Capitalism: A Global Economy that Works for Progress, People and Planet, Schwab defines it as ‘a form of capitalism in which companies do not only optimise short-term profits for shareholders, but seek long-term value creation, by taking into account the needs of all their stakeholders, and society at large.’

By value-creation, Schwab partly has in mind economic prosperity. But he also calls for the promotion of three other values: ‘People,’ ‘Planet,’ and ‘Peace.’ These rather broad concepts illustrate just how all-embracing Schwab’s stakeholder capitalism seeks to be.

So who are the stakeholders who will collaborate to usher in the four Ps? For Schwab, they are ‘governments,’ ‘companies,’ and ‘civil society’ (NGOs, unions, etc.). At this point we arrive at the essence of Schwab’s grand redesign. For all his invocation of the predictable woke pieties, Schwab’s core commitment is to political and economic arrangements which used to be known as corporatism.

Schwab is quite explicit about this. In one article describing the origins of his present outlook, he writes:

This approach was common in the postwar decades in the West, when it became clear that one person or entity could only do well if the whole community and economy functioned. There was a strong linkage between companies and their community. In Germany, for example, where I was born, it led to the representation of employees on the board, a tradition that continues today.

Corporatism is a broad concept. It can run the gamut from the hyper-authoritarian version embraced by Mussolini’s Italy to worker-boss structures of the type described by Schwab in postwar western Europe. All forms of corporatism, however, share some common themes.

One is the necessity of limiting market competition in order to preserve social cohesion. Another is mandating cooperation between representative groups of different social and economic sectors – a process overseen and, if necessary, enforced by government officials for the sake of the common good.

What, you might ask, could be wrong with this? The answer is: plenty.

For a start, corporatism – including its Schwabian expression – isn’t big on freedom. It’s all about forming and then maintaining a consensus on economic and social policies. For this reason, corporatism doesn’t cope well with dissent. Indeed, it discourages any questioning of the consensus, whether the issue is tax-rates or climate change.

The language of corporatism, like that of Schwab’s WEF, may be one of coordinated consultation, but the agenda is one of control. For what matters is the harmonisation of views, no matter how absurd the idea and or how high the cost in liberty.

Not only does this generate groupthink. It encourages the marginalisation of those who dispute the consensus. If you have reservations about, say, open borders, don’t be surprised if you are branded a xenophobe. If you decline to have your workforce unionised, you’re likely be labelled a market fundamentalist who treats his employees as mere objects.

Another problem is the collusion and cronyism fostered by corporatism. Corporatist structures facilitate client-patron relations between businesses and governments. That in turn produces insiders and outsiders.

Insiders are those companies who sign up to the consensus, play the corporatist game, and consequently do very well out of their cosy relationships with governments. Outsiders are those who lack the resources to grease the wheel. An example might be the young entrepreneur with a great idea that might revolutionise an entire economic sector but who doesn’t enjoy the political connections. Long-established companies rarely hesitate to use their connections to try and establish regulatory environments, which makes it hard for such entrepreneurs to compete in the marketplace.

Lastly, corporatist-style stakeholder capitalism is decidedly ambivalent about democracy. The emphasis is upon insiders negotiating with each other, and then presenting the populace with a series of faits accomplis about anything ranging from fossil fuels to ESG.

There’s not much room for contributions from the wider populace to the decision-making process in Schwab’s stakeholder capitalist model, let alone popular assent to decisions taken. Indeed, the model reflects a positive distrust of bottom-up initiatives because these are harder to control and less likely to buy into the established consensus.

As nations have discovered, considerable costs are associated with corporatist ways of running economies and societies. On an economic level, corporatism discourages innovation, produces inflexible labour markets dominated by unions whose priority is maintaining the status quo, and riddle the marketplace with privileges for well-connected businesses.

In political terms, even mild forms of corporatism significantly disenfranchise voters and put an ever-growing number of important decisions in the hands of unaccountable bureaucracies. In many ways, the EU’s governance structures – and the democratic deficit which they personify – exemplify such arrangements.

Which brings us back to the WEF. It wields no formal political power and can’t make anyone do anything. Nonetheless, since its founding in 1971, the WEF has become an organisation which embodies supreme confidence in the imperative of a particular type of person running the world from the top-down. In his famous 2004 essay entitled ‘Dead Souls,’ the political scientist Samuel P. Huntington called this prototype ‘Davos Man.’

A clever moniker that neither Schwab nor the WEF have ever succeeded in shaking off, Davos Man was Huntington’s short-hand description of ‘academics, international civil servants and executives in global companies, as well as successful high-technology entrepreneurs’ who thought alike and tended to view national loyalties and boundaries ‘as residues from the past.’ Davos Man also looked with undisguised disdain, Huntington suggested, upon those who weren’t getting with the programme – whatever the content of the programme happened to be.

Therein lies the deepest problem with the WEF. It’s one thing for people to come together in international settings to discuss problems, share insights, and network. Business leaders, politicians, and NGO-types do this all the time.

It’s another thing for an outfit such as the WEF to decide that the time has come to rearrange the world from the top-down and remake the planet in a corporatist image. The ideal for which Schwab is aiming, judging from his speeches and writings, is something akin to a globalised EU, with its supranational and ingrained bureaucratic ways being transposed to an international level, and the levers of power vested in the hands of reliable Davos men and women.

In short, it’s easy to caricature the WEF and Schwab as something akin to Ian Fleming’s fictious Spectre and its criminal-mastermind Ernst Stavro Blofeld. Yet the agenda now being pursued at settings such as Davos is sufficiently alarming that anyone who believes in preserving things like liberty, sovereignty, and the decentralisation of power should be concerned.

Davos Man should be put on notice: his Great Reset won’t go uncontested.

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âšĄïž HELION ENERGY: Closed-Loop Fusion Fuel Cycle & Technology Breakdown ⚛

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Revolut Leak Shows the Cost of Constant ID Collection
Revolut’s mistake is the news, but the bigger problem is the growing number of companies being encouraged or required to keep copies of our most sensitive identity documents.

Online bank Revolut has revealed that it gave out sensitive personal and financial information of an undisclosed number of its customers in response to a fake government request.

The information that was handed over to an “unauthorized third party” reportedly includes names, dates of birth, occupations, addresses, phone numbers, account numbers, transaction histories (including Bitcoin), and even copies of government-issued IDs and onboarding verification selfies.

Revolut claims that derived biometric face data was not.

The company said that the data was handed over in response to an email that came from a real government agency’s domain, but was not actually sent or authorized by that agency.

The email passed several authentication checks (SPF, DKIM, and DMARC) that are designed to establish the authenticity of a message’s origin and integrity, but do not verify the legitimacy of the legal request itself.

Revolut said that it complied with the request “under the reasonable belief that it was an authentic government agency request” – and only later found out that it was not.

Revolut said it later realized its mistake, blocked the email address, and reported the incident to the relevant authorities.

Revolut said that only a “limited” number of its customers were affected by the data leak, and that the company’s systems were not hacked, nor was any money stolen.

The story broke on September 11 when Revolut customers started receiving an email notice about a data leak, and the news was picked up by media outlets the following day.

Revolut notice explaining customer identity and financial data was shared after an unauthorized government email request.

The reason this is a recurring problem is that companies are keeping highly sensitive information about their customers’ identities, and sometimes even financial transactions, for a long time, and this data is then available to be disclosed to third parties – either in response to valid legal requests, or, as in the case of Revolut, fake ones.

One reason for this is know your customer (KYC) and anti-money laundering (AML) rules. Revolut’s current UK customer privacy notice spells it out: the company generally keeps personal data of UK customers for no more than seven years after the relationship ends, and sometimes longer – for legal reasons.

This means that even if you close your account, your identity documents don’t disappear.

And while the incident with Revolut happened in the financial sector, it’s by no means the only one that requires customers to hand over sensitive identity information. Discord, a popular chat service, said in an October 9, 2025 security update that government ID photos of approximately 70,000 users may have been exposed after a third-party customer service provider got hacked.

This was not a financial service, nor the same type of attack. But the result was similar – because the underlying business process was the same: requiring and storing sensitive identity documents. In the case of Discord, these were used to review age-related appeals.

It’s hard to do anything about a copy of your old passport, or a photo of your face, or a record of your past transactions. These can be used to identify and profile you, and can be used to carry out targeted fraud. And this can happen even if the initial disclosure didn’t result in financial loss.

The more companies are forced to collect and store such information, and the more of it they have, the more opportunities there are for this data to be leaked, either by the company itself or a third party it works with. That's what makes governments' push for more ID checks just to access ordinary parts of life so reckless.

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This Is The Income A Family Needs To Live Comfortably In Every US State

Here’s the short version of what it takes for a family of four to live comfortably in 2026 by state:

In Massachusetts, you’d need nearly $330,000 a year - the highest figure in the entire country. Only three states clear the $300,000 mark: Massachusetts, Hawaii, and California. At the other end of the spectrum, Mississippi is the most affordable at about $188,000. That’s a full $142,000 less than what you’d need in Massachusetts.

So
 how much does a family of four need in your state?

This map shows the pre-tax income a household with two working adults and two kids needs to live comfortably in every U.S. state.

The numbers come from SmartAsset (as of February 2026). They’re based on the familiar 50/30/20 budget: 50% for necessities, 30% for discretionary spending, and 20% for savings or other goals. These aren’t bare-minimum survival numbers—they’re what it takes to live pretty well while still putting money aside.

And as Visual Capitalist notes, Massachusetts sits at the very top of that list. Massachusetts tops the ranking, with a family of four needing $329,555 per year to meet the 50/30/20 benchmark.

Hawaii follows at $313,165, while California ranks third at $302,682.

Rank State Income needed for family of four (2026)

  • 1 - Massachusetts - $329,555
  • 2 - Hawaii - $313,165
  • 3 - California - $302,682
  • 4 - Connecticut - $298,189
  • 5 - New Jersey - $295,110
  • 6 - New York - $291,533
  • 7 - Colorado - $283,213
  • 8 - Washington - $281,798
  • 9 - Oregon - $280,966
  • 10 - Vermont - $280,384
  • 11 - Alaska - $272,064
  • 12 - New Hampshire - $267,904
  • 13 - Rhode Island - $264,659
  • 14 - Minnesota - $263,078
  • 15 - Maryland - $257,837
  • 16 - Maine - $250,931
  • 17 - Montana - $249,434
  • 18 - Pennsylvania - $247,936
  • 19 - Illinois - $244,109
  • 20 - Virginia - $242,944
  • 21 - Nevada - $242,278
  • 22 - Indiana - $241,696
  • 23 - Wisconsin - $238,451
  • 24 - Arizona - $236,870
  • 25 - Utah - $235,789
  • 26 - Delaware - $228,134
  • 27 - Ohio - $226,221
  • 28 - Idaho - $226,054
  • 29 - Florida - $223,392
  • 30 - New Mexico - $223,142
  • 31 - Nebraska - $223,059
  • 32 - Missouri - $217,734
  • 33 - Georgia - $214,573
  • 34 - Michigan - $214,323
  • 35 - South Carolina - $212,909
  • 36 - North Carolina - $212,410
  • 37 - Wyoming - $212,410
  • 38 - Oklahoma - $211,910
  • 39 - North Dakota - $210,496
  • 40 - Kansas - $207,917
  • 41 - Iowa - $204,422
  • 42 - Texas - $203,424
  • 43 - West Virginia - $202,592
  • 44 - South Dakota - $201,760
  • 45 - Alabama - $198,931
  • 46 - Louisiana - $197,933
  • 47 - Tennessee - $197,267
  • 48 - Arkansas - $195,437
  • 49 - Kentucky - $194,854
  • 50 - Mississippi - $187,533

Connecticut, New Jersey, and New York aren't far behind, bringing the number of states with comfortable-income thresholds above $290,000 to six.

Colorado and Vermont Make the Top 10

As expected, many of the highest income thresholds are concentrated in the Northeast and along the West Coast.

However, Colorado has the seventh-highest threshold in the country at $283,213, ranking above Washington and Oregon.

Vermont rounds out the top 10 at $280,384, despite having the second-smallest population of any U.S. state. Meanwhile, nearby states like New Hampshire, Maine, and Rhode Island all fall outside the top 10.

Just Six States Come in Below $200,000

Despite the wide range in living costs across the country, only six states have a comfortable-income threshold below $200,000 for a family of four.

Mississippi ranks lowest at $187,533, followed by Kentucky. The states of Arkansas, Tennessee, Louisiana, and Alabama also fall below the $200,000 mark.

The gap between Massachusetts and Mississippi exceeds $142,000 per year, meaning the Massachusetts benchmark is about 76% higher.

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đŸ€–Can Decentralized AI Stop Big Tech from Owning the Future of Robotics?đŸ€–
The race to build the future of robotics is no longer just about robots. It's about who controls the intelligence behind them.
 
Over the last three years, a small group of companies has emerged as the backbone of the AI revolution. Microsoft provides cloud infrastructure. NVIDIA supplies the chips. Google, OpenAI, Anthropic, Meta, and others develop the models. Together, they control much of the compute, data, and software stack powering modern AI.
 
Now that AI is moving into the physical world, many are asking a bigger question:
 
Will these same companies end up controlling robotics too?
 
It's a valid concern.
 
The latest generation of robots relies on enormous amounts of compute, simulation, training data, and foundation models. Many robotics startups today are built on infrastructure provided by large technology companies. NVIDIA's Omniverse is becoming a key simulation environment for robot training. Microsoft Azure is powering the training of robotics foundation models. Physical AI startups increasingly depend on hyperscale cloud infrastructure to train and deploy intelligent systems. Recent partnerships across the industry show just how central Big Tech has become to robotics development.
But while Big Tech is building the highways, another movement is trying to ensure it doesn't own every destination.
 
That movement is decentralized AI.
 
Why Decentralized AI Exists
 
The idea behind decentralized AI is simple. Instead of a handful of companies owning the models, compute infrastructure, data pipelines, and intelligence networks, these resources are distributed across thousands of participants.
 
This means anyone can contribute compute, contribute models, validate outputs and can participate.
The most visible example today is the decentralized AI network known as Bittensor (@bittensor). The network has evolved into a large ecosystem of specialized AI markets called subnets, where participants compete to provide useful machine intelligence and are rewarded based on performance. Rather than relying on a single company, intelligence is generated and validated by a distributed network of miners and validators.
 
Think of it as an attempt to build an open marketplace for AI instead of a world where intelligence is rented from a few centralized providers.
 
Why This Matters for Robotics
 
Robotics has a unique problem. Unlike chatbots, robots operate in the physical world. They need to perceive environments, make decisions, move safely and they need to learn continuously.
 
The challenge is that collecting and training on real-world robotic data is incredibly expensive. That's one reason large companies have such an advantage. They can afford the compute, simulation environments, and data infrastructure needed to train robotics models at scale.
 
This is where decentralized systems become interesting.
 
Instead of one company collecting all the data and training all the models, decentralized networks could allow thousands of contributors to participate in building robotic intelligence.
 
Imagine a future where:
  • Warehouse robots contribute operational data.
  • Delivery robots contribute navigation data.
  • Factory robots contribute manipulation data.
  • Developers contribute models.
  • Validators evaluate performance.
The resulting intelligence becomes a shared network rather than a proprietary asset.
 
That vision is beginning to emerge.
 
Bittensor's Move Toward Physical AI
 
While many people associate Bittensor (@bittensor) with language models and AI services, parts of the ecosystem are increasingly exploring embodied intelligence and robotics.
 
One example is Kinitro, a subnet focused on incentivizing the training and evaluation of embodied AI systems. The goal is to create competitive environments where developers build robotic intelligence and are rewarded based on performance.
 
The broader Bittensor ecosystem has also expanded into compute marketplaces, distributed inference systems, bandwidth infrastructure, and AI coordination layers that could eventually support robotics workloads. Several subnets now focus on decentralized compute, confidential inference, data transfer, and model training, critical components for future robotic systems.
 
In other words, the pieces are starting to appear.
 
Not a decentralized robot network yet.
 
But the infrastructure that could support one.
 
Beyond Bittensor: The Rise of Physical AI Networks
 
Bittensor isn't alone.
 
Across the industry, researchers and builders are experimenting with decentralized approaches to physical AI.
 
New research published in 2026 introduced the concept of DAO-enabled decentralized physical AI, or DePAI. The idea combines robotics, decentralized infrastructure, AI models, governance systems, and human oversight into a single framework. Instead of centralized control, robots and physical infrastructure could be coordinated through transparent rules and distributed ownership models.
 
At the same time, developers are exploring decentralized operating systems for robots that allow machines to communicate directly with each other and with distributed compute resources. These architectures are designed to make robotic systems more resilient and less dependent on a single cloud provider.
 
The goal is not simply decentralization for its own sake.
 
The goal is resilience.
 
If one server fails, the system continues.
 
If one company disappears, the network survives.
 
If one participant leaves, innovation continues.
 
But Here's the Reality
 
Decentralized AI faces the same challenge every decentralized technology faces.
 
Big Tech has resources. A lot of resources.
 
Training advanced robotics models requires enormous compute budgets, sophisticated simulation environments, access to specialized hardware, and vast amounts of real-world data.
 
That's why many robotics startups still partner with major cloud providers and AI companies. It's often the fastest path to deployment.
 
And there are legitimate concerns about whether decentralized networks can maintain quality, reliability, and security at the scale required for industrial robotics. Even researchers studying decentralized AI systems have highlighted risks around concentration, incentives, governance, and network security.
 
The challenge isn't just decentralizing intelligence.
 
It's decentralizing intelligence while maintaining performance.
 
That's much harder.
 
The Most Likely Outcome
 
The future probably won't be fully centralized. And it probably won't be fully decentralized either. Instead, we're likely heading toward a hybrid model.
 
Large technology companies will continue providing chips, cloud infrastructure, simulation platforms, and foundational research.
 
At the same time, decentralized AI networks will emerge as alternative coordination layers where intelligence, data, and economic value can be shared more openly.
 
The companies building robots may use NVIDIA hardware.
 
Train on Azure.
 
Run foundation models from OpenAI.
 
But they may also participate in decentralized data networks, decentralized compute markets, and decentralized intelligence protocols.
 
The future of robotics could end up looking less like a monopoly and more like an ecosystem.
 
The Bigger Question
 
The real question isn't whether decentralized AI can eliminate Big Tech.
 
It can't.
 
At least not anytime soon.
 
The real question is whether decentralized AI can prevent a future where a handful of companies control every robot, every model, every dataset, and every decision made by the machines operating around us.
 
As robots become workers, assistants, delivery drivers, factory operators, and even economic agents, that question becomes increasingly important.
 
Because the battle for the future of robotics is no longer about hardware.
 
It's about who owns the intelligence.
 
And that battle is just getting started.
 
 

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