‘SUPERINTELLIGENCE’ BAN: CELEBRIES AND AI EXPERTS Raise the Alarm

Generative AI has moved from specialist interest to part of daily life — transforming all from entertainment to the workplace. From AI-generated art, deepfakes, and intelligent chatbots capable of talking like humans, AI is now part of modern life. Yet with technology racing ahead, so do fears it will spin out of control.

Now, a new generation of scientists, business leaders, and celebrities are calling for a slowdown on the next frontier: AI superintelligence — a form of artificial intelligence that potentially could surpass human intellectual ability in almost every dimension.

The Pushback: A Global Call to Slow Down AI Development

A collection of public personalities — such as Virgin Group creator Richard Branson, Apple co-founder Steve Wozniak, Prince Harry and Meghan Markle, actor Joseph Gordon-Levitt, and musician will.i.am — signed a new open letter called the “Statement on Superintelligence.”

The warning asks developers and businesses racing towards state-of-the-art AI systems, including OpenAI and Elon Musk’s xAI, to delay the magnitude of massive AI projects until there is a “broad scientific consensus that it will be done safely and controllably” and a “strong public buy-in” to support it.

Notably among them are two of the leading AI researchers, who are also cofounders of modern machine learning. The movement is thus quite heavily weighted.

“We must ensure that AI is serving humanity, and not vice versa,” the letter demands, threatening dire consequences in the event of runaway progress.

What Is AI Superintelligence — and Why Does It Worry Experts?

In order to understand the alarm, defining what AI superintelligence really is, is essential. Superintelligent AI, according to IBM, is a system which not only matches but far exceeds human intelligence — capable of reasoning, learning, and solving problems for itself in every respect, free of human control.

Contrary to current AI systems such as ChatGPT or Gemini, whose boundaries and data sets are defined, superintelligent AI would be continuously learning and evolving, rewriting its own code to increase efficiency and capability. Such recursive enhancement could make it almost impossible to contain.

“A true superintelligence would no longer need human oversight,” said Stuart Russell, an AI researcher at UC Berkeley. “At that point, its goals might diverge from ours — and we’d have no way to stop it.”

The Risks: From Job Losses to Existential Threats

The possible dangers of AI superintelligence go much beyond job automation or misinformation. The threat is mentioned by experts as the possibility of AI systems executing on their own in pursuit of ends that are in conflict with human values or safety.

Some of the highest threats:

Massive Job Displacement – AI already revolutionizes industries, but an entirely automated self-enhancing system could eliminate entire professions, ranging from programmers to creative professionals.

Loss of Human Control – The moment an AI begins to be smarter than the people who create it, it might be beyond control.

Weaponization and Surveillance – AI might be utilized by governments or corporations for total surveillance or robot war.

Existential Risk – In the worst-case scenario, a rogue AI with goals of its own would view humankind as an obstacle — one which scientists describe as a “digital doomsday.”.

Even if these ideas sound like science fiction, specialists argue that rejection of them would be naively dangerous. History has shown that humanity always underestimated the capabilities of its own inventions — from nuclear energy to biotechnology.

Increasing Public Alarm and Demand for Regulation

Public sentiment is shifting rapidly. A 2025 Pew Research Center survey found that 67% of Americans now support greater government regulation of AI, up from 42% two years earlier. The European Union has already legislatively signed the AI Act into law, establishing the globe’s first extensive regulatory framework for artificial intelligence, while U.S. lawmakers are determining how to follow.

Tech giants, however, are still racing ahead. OpenAI, xAI, Google DeepMind, and Anthropic are investing billions in “next-generation” AI models that could approach or surpass human-level reasoning.

“We’re in an AI arms race, and everyone wants to be first — but that could also mean being first to make a catastrophic mistake,” warned Richard Branson in a recent statement.

Is It Already Too Late to Stop?

Until now, actual AI superintelligence is still theoretical, although most experts foresee that it might arise in the next two decades if trends continue. The question is not whether or when it will happen, but whether human civilization will be prepared — morally, technically, and legally — when it does.

“The clock is ticking,” declared Yoshua Bengio. “We still have time to make this technology safe. But not much.”

The Bottom Line: Humanity at a Crossroads

The debate over AI superintelligence is no longer confined to labs or tech circles — it has become a global conversation about the future of humanity itself. As generative AI becomes ubiquitous, the next phase could redefine civilization in ways we’re only beginning to imagine.

Whether the Statement on Superintelligence does indeed result in change is yet to be known. But this much is definite: the world has finally realized that the latest technology human beings have ever come up with has the potential to be the most deadly — unless we can learn how to control it before it controls us.

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Meta has an issue with its AI product

by George Mensah 2025-11-06

Meta is betting big, perhaps too big, on artificial intelligence. As the global race to build AI infrastructure heats up, the social media giant is investing billions into what it believes will define the next era of computing. But as Wall Street’s latest reaction shows, not everyone is buying it.

The company, whose chief executive is Mark Zuckerberg, is constructing two giant data centers in the U.S. as part of a wider AI expansion. U.S. tech companies collectively will invest as much as $600 billion in infrastructure over the next three years, according to estimates from industry insiders, with Meta as one of the biggest spenders.

But as Silicon Valley celebrates the AI boom, investors are asking one question: whether Meta’s spending spree is sustainable, let alone strategic.

Earnings Reveal Soaring Costs — and Investor Doubts

Meta’s latest quarterly report showed a sharp rise in costs: operating expenses were up $7 billion year over year and capital expenditures rose nearly $20 billion, largely driven by the acquisition of AI infrastructure and talent. The company generated $20 billion in profit for the quarter, but investors focused on the ballooning expenses — and the lack of clear AI monetization.

During the earnings call, Zuckerberg defended the aggressive spending.

“The right thing is to accelerate this — to make sure we have the compute we need for AI research and our core business,” he said. “Once we get the new frontier models from our Superintelligence Lab (MSL) online, we’ll unlock massive new opportunities.”

But the reassurance didn’t land. Meta’s stock sank 12% by Friday’s close, wiping out more than $200 billion in market value within days.

Big Spending, Small Returns (For Now)

While Meta isn’t alone in its AI splurge – Google, Microsoft, Nvidia, and OpenAI are also spending billions on computing – the key difference is in the results. Google and Nvidia are already experiencing strong revenue growth thanks to AI, while OpenAI, although much more risky, has one of the fastest-growing consumer products in history, generating around $20 billion a year.

But Meta has yet to introduce the blockbuster AI product that would seem to justify the astronomical spending.

Its flagship Meta AI assistant reportedly serves over a billion users, but this is largely a factor of its embedding across Facebook, Instagram, and WhatsApp rather than organic adoption. Analysts say it still lags far behind in functionality and brand strength compared to competitors such as ChatGPT and Claude.

Meanwhile, Meta’s Vibes video generator, which gave the company a fleeting bump in engagement, has yet to prove its commercial viability. And while the Vanguard smart glasses it introduced with Ray-Ban do hold some promise for combining AI and augmented reality, they’re still more prototype than core business driver.

Zuckerberg’s Vision: Superintelligence and the Future

Undeterred by the skepticism, Zuckerberg insists Meta’s AI ambitions are only just getting started. He said the company’s Superintelligence Lab, or MSL, is working on next-generation “frontier models” that will power classes of products entirely new.

“It’s not just Meta AI as an assistant,” Zuckerberg said. “We expect to build new models and products — things that redefine how people and businesses interact with technology.”

Yet, he didn’t provide any details or timelines-a thing that frustrated analysts, who wanted some concrete projections. The promise of “more details in the coming months” wasn’t enough to calm investor nerves.

The AI Bubble Question

A massive infrastructure build-out at Meta has revived fears that the technology industry might be inflating yet another bubble. With tens of billions of dollars pouring into GPUs, data centers, and AI labs, some analysts warn that valuations in the sector are running ahead of tangible outcomes.

Yet, others argue that Meta’s financial position gives it more room to experiment. Unlike many AI startups, Meta still has a profitable advertising empire to fall back on. Its 3 billion monthly active users across its apps provide an unmatched data advantage — if it can find a compelling AI use case.

Where Does Meta Go From Here?

The direction of the company is not determined. Fundamental strategic questions are still hanging:

Will Meta use its vast personal data ecosystem to challenge OpenAI and Anthropic directly?

Does it want to integrate AI-powered advertising and business tools for enterprises?

Or will it shift to immersive consumer products, merging AI with AR/VR in the metaverse?

For now, those answers remain elusive. One thing is for sure: Zuckerberg is playing the long game, one that could either solidify Meta’s role in the next era of computing or turn into one of Silicon Valley’s most expensive miscalculations. As the AI arms race accelerates, Meta’s challenge isn’t just to build smarter machines — it’s to convince investors, and the world, that the company still knows where it’s going.

News

With growing demand for AI, Microsoft and IREN ink a $9.7 billion cloud partnership

by George Mensah 2025-11-03

Redmond, Washington — In a bold move to expand its artificial intelligence infrastructure, Microsoft announced a $9.7 billion deal with data-center operator IREN that would give the tech giant long-term access to Nvidia’s next-generation AI chips. The agreement underscores how deeply the AI race has become defined by access to high-performance computing power.

That investment will also translate into a five-year partnership that lets Microsoft significantly ramp up its cloud computing and AI without having to immediately build new data centers or secure additional power—two of the biggest bottlenecks constraining Microsoft’s AI expansion today.

IREN Shares Spike Following Microsoft Partnership

Following that announcement, IREN’s stock soared as much as 24.7% to a record high before finishing nearly 10% higher by Monday’s close. The news also gave a modest lift to Dell Technologies, which will be supplying AI servers and Nvidia-powered equipment to IREN as part of the collaboration.

The deal includes a $5.8 billion equipment agreement with Dell, part of which involves IREN providing Microsoft with access to systems equipped with the advanced Nvidia chips known as the GB300.

Strengthening Microsoft’s AI Muscle

The move highlights the increasing competition between tech giants like Amazon, Google, and Meta in securing computing capacity that powers generative AI tools such as ChatGPT and Copilot among other machine-learning models.

Microsoft has invested heavily in OpenAI amid mounting infrastructure constraints, as demand for AI-powered services explodes across its cloud ecosystem. Earnings reports from major tech firms last week showed that a limited supply of chips and data-center capacity remains the cap on how much the industry can capitalize fully on the boom in AI.

In return, IREN gets an immediate infrastructure boost by partnering with Microsoft without the high upfront costs associated with building new hyperscale data centers. That is also a way to stay agile as the generations are coming fast from Nvidia.

“This deal is a strategic move by Microsoft to expand capacity while maintaining its AI leadership without taking on the depreciation risks tied to fast-evolving chip hardware,” said Daniel Ives, managing director at Wedbush Securities.

IREN’s Huge Expansion Plans

IREN, whose market value has risen more than sixfold in 2025 to $16.5 billion, operates several large-scale data centers across North America, with a combined total of 2,910 megawatts.

Under the new deal, the company will deploy Nvidia’s processors in phases through 2026 at its 750-megawatt Childress, Texas campus, where it is building liquid-cooled data centers designed to deliver approximately 200 megawatts of critical IT capacity.

The prepayment by Microsoft would finance IREN’s payment for Dell equipment valued at $5.8 billion. However, the deal comes with strict performance clauses that allow Microsoft to revoke the contract if delivery timelines are not met by IREN.

Rising “Neocloud” Powerhouses

The deal also speaks to the emergence of “neocloud” providers like CoreWeave, Nebius Group, and IREN — companies that specialize in selling Nvidia GPU-powered cloud computing infrastructure. These firms have become key partners for Big Tech companies trying to scale AI operations faster than traditional data-center timelines allow.

Earlier this year, Microsoft inked a $17.4 billion deal with Nebius Group, a similar provider, for cloud infrastructure capacity. Taken together, the moves mark Microsoft’s multi-pronged strategy to secure AI infrastructure from multiple partners amid global shortages of Nvidia hardware.

A Broader AI Infrastructure Push

On the same day, AI infrastructure startup Lambda revealed a multi-billion-dollar deal with Microsoft to deploy more GPU-powered cloud infrastructure using Nvidia’s latest hardware.

To the industry analysts, these rapid investments are part of a larger race to lock in supply chains for a resource now viewed as critical as oil in the digital economy: AI computing.

“We’re seeing the dawn of a whole new AI infrastructure ecosystem,” said Sarah McKinney, an AI market strategist. “Microsoft’s deals with IREN and Nebius show that the company is securing every possible avenue to power the next wave of AI applications.”

The Growing Infrastructure Challenge of AI

High demand for AI, meanwhile, has put incredible pressure on computing resources globally. As companies scramble to find GPUs and data-center capacity, the cost of AI infrastructure has soared.

The partnership with existing operators like IREN ultimately gives Microsoft flexibility to meet surging workloads with a minimum of capital expenditure and supply chain delays. This approach allows it to further diversify its geographic footprint, reducing risks associated with power constraints or regulatory hurdles in any single region.

With this agreement, Microsoft forges its status as one of the leaders in the world’s artificial intelligence ecosystem and positions its Azure cloud as a backbone for next-generation AI applications. For IREN, the partnership represents a turning point in its transformation from a low-profile data center provider to an important player in the infrastructure powering the AI revolution. As the world’s demand for AI accelerates, one thing is clear: the race for computing power is just getting underway, and partnerships like Microsoft’s $9.7 billion IREN deal will likely define who leads in the next decade of artificial intelligence.

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