U.S. Cyber Agency Deploys Anthropic’s AI to Hunt Software Flaws Despite Earlier Government Clash

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July 7, 2026

The U.S. government is increasingly embracing artificial intelligence as a frontline cybersecurity tool, with the Cybersecurity and Infrastructure Security Agency (CISA) now using Anthropic’s AI model, Mythos, to identify security flaws in government software, according to sources cited by Reuters.

The move signals growing confidence in AI’s ability to strengthen national cyber defenses while highlighting a dramatic shift in Anthropic’s relationship with Washington. Just months ago, the AI company found itself at the center of a bitter dispute with the Trump administration that resulted in an unprecedented Pentagon blacklist.

According to three sources familiar with the initiative, CISA has deployed Mythos to examine government software code repositories for vulnerabilities that could be exploited by foreign intelligence agencies, state-sponsored hackers or cybercriminals.

The work is being carried out by CISA’s Attack Surface Evaluation team, a specialist unit responsible for conducting cybersecurity assessments, penetration testing, and simulated hacking exercises across U.S. government systems.

Rather than relying solely on traditional vulnerability scanning tools, the agency is using Anthropic’s advanced AI model to comb through large volumes of source code, identify programming mistakes and flag weaknesses before attackers can exploit them.

Two of the sources said the AI-assisted reviews have already uncovered a significant number of software vulnerabilities, although they declined to provide details about the affected systems or the severity of the flaws.

Reuters said it could not independently determine how much government software has been reviewed or whether any of the discovered vulnerabilities were considered critical.

Neither Anthropic nor CISA publicly confirmed the programme.

Anthropic declined to answer questions about the initiative. A CISA representative had previously indicated the agency would determine whether it could share information about the project but did not respond to subsequent requests for comment.

AI’s Growing Role in Cybersecurity

Modern government software consists of millions of lines of code, making manual security reviews increasingly difficult and time-consuming. AI models trained to understand programming languages can analyze code at much greater speed, helping security teams identify vulnerabilities ranging from coding errors and insecure software configurations to authentication weaknesses and exploitable logic flaws.

The adoption of Mythos has raised eyebrows because it comes after months of strained relations between Anthropic and the U.S. government. The San Francisco-based company, which has confidentially filed for an initial public offering, became embroiled in a high-profile dispute with the Trump administration earlier this year over the safeguards built into its AI systems.

The disagreement escalated in February after Anthropic refused government requests to remove restrictions designed to prevent its AI models from being used for autonomous weapons or domestic surveillance. The company argued that those safeguards were essential to limiting dangerous uses of advanced artificial intelligence.

The refusal triggered an extraordinary response from the Pentagon, which designated Anthropic as a supply-chain risk. The classification is typically reserved for foreign companies suspected of enabling espionage or posing national security threats. Applying the designation to a leading U.S. artificial intelligence developer was widely viewed as an unprecedented move.

Anthropic challenged the decision in court, and in March, a federal judge blocked the blacklist from taking effect while legal proceedings continued. Since then, relations between the company and government agencies appear to have improved, driven largely by the cybersecurity capabilities of Mythos.

The AI model has been described as exceptionally effective at identifying and exploiting software vulnerabilities, making it valuable for defensive cyber operations.

But government interest in the technology extends well beyond CISA.

Earlier reports indicated that the National Security Agency (NSA), the United States’ premier signals intelligence agency, began using Mythos as early as April, even while the Pentagon’s supply-chain designation remained in place. According to previous media reports, NSA analysts tested the model in classified environments and concluded that it demonstrated impressive cybersecurity capabilities.

Those findings helped boost Anthropic’s reputation as one of the leading developers of AI systems tailored for cyber defense. The company later introduced a public version of Mythos called Fable, incorporating what it described as additional cybersecurity safeguards.

That launch, however, sparked another confrontation with the White House. Administration officials reportedly demanded that Anthropic prevent foreign users from accessing the model, citing concerns that hostile governments or cybercriminals could exploit its sophisticated vulnerability discovery capabilities.

The dispute resulted in Anthropic temporarily shutting down global access to Fable before restoring availability last week.

As cybersecurity concerns intensify, federal agencies face an expanding attack surface, especially due to the government’s systems becoming more interconnected and cyber threats growing increasingly sophisticated. AI-assisted code analysis offers the potential to identify vulnerabilities at a speed and scale that would be difficult to achieve through traditional manual reviews alone.

Advanced AI models such as Mythos are emerging not only as productivity tools but also as strategic assets in national security, capable of helping governments strengthen software security before vulnerabilities can be exploited by adversaries.

Terawulf Secures $19bn Anthropic Deal As Bitcoin Miner Accelerates Transformation Into AI Infrastructure Provider

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Samuel Nwite

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July 7, 2026

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TeraWulf has taken a major step in its transformation from a cryptocurrency miner into an artificial intelligence infrastructure company, signing a 20-year lease agreement with AI startup Anthropic that is expected to generate approximately $19 billion in contracted revenue over the life of the deal.

The announcement sent TeraWulf’s shares more than 10% higher in early trading on Monday, extending a rally that has already seen the stock gain about 85% this year as investors increasingly reward companies repositioning themselves to benefit from the AI boom.

The agreement represents one of the largest long-term infrastructure commitments announced by an AI company and underscores the growing race among model developers to secure dedicated computing capacity as demand for AI services continues to surge.

Under the agreement, Anthropic will lease capacity at TeraWulf’s Justified Data campus in Hawesville, Kentucky, where the company is building a purpose-designed AI data center capable of supporting some of the world’s most compute-intensive workloads.

The campus will ultimately provide approximately 401 megawatts of critical IT load, placing it among the largest AI-focused data center developments currently under construction in the United States. Initial capacity is expected to become operational during the second half of 2027, with the full campus scheduled for completion in early 2028.

The scale of the project reveals the enormous computing requirements of frontier AI models, which require thousands of advanced graphics processing units (GPUs), vast amounts of electricity and sophisticated cooling infrastructure to train and deploy increasingly powerful systems.

The agreement gives TeraWulf something that has become highly prized across the AI infrastructure sector: long-term, predictable revenue backed by one of the industry’s leading artificial intelligence companies.

Unlike bitcoin mining, where revenues fluctuate with cryptocurrency prices, mining difficulty and network rewards, the Anthropic lease provides contracted cash flows spanning two decades.

From Crypto to AI: The Growing Pivot

Cryptocurrency miners, following the emergence of AI, have seen rapidly changing fortunes. Companies that once built extensive power infrastructure to support bitcoin mining are now repurposing those assets for AI data centers, where demand for electricity and high-performance computing has surged as technology companies commit hundreds of billions of dollars to artificial intelligence.

Many miners possess a strategic advantage because they already control access to large amounts of electrical capacity, one of the most significant bottlenecks facing AI infrastructure development.

TeraWulf has been among the companies moving aggressively to capitalize on that opportunity. In May, management said artificial intelligence infrastructure would become an important driver of the business as it diversified away from dependence on bitcoin mining.

Monday’s announcement suggests that the transition is now accelerating. Alongside the Anthropic agreement, TeraWulf also announced it will sell its 50.1% stake in the Abernathy joint venture to an investor group led by existing partner Fluidstack.

The transaction allows the company to monetize an investment of roughly $450 million at a premium to the capital originally invested. Management said the proceeds will be redirected toward wholly owned AI infrastructure projects, strengthening its balance sheet while increasing exposure to higher-value data center assets.

The sale also simplifies TeraWulf’s corporate structure, allowing the company to focus capital on facilities where it maintains full ownership and operational control.

As competition intensifies with rivals including OpenAI, Google, Meta and xAI, leading AI developers are signing multi-year infrastructure agreements rather than relying solely on third-party cloud providers.

Owning or leasing dedicated AI computing capacity has become a strategic priority as shortages of advanced chips, power, and data center space continue to constrain the industry’s growth.

The 401-megawatt campus is expected to host thousands of AI servers powered by advanced graphics processors, providing the computing resources needed to train future generations of Anthropic’s large language models and support expanding enterprise demand.

Currently in the digital infrastructure space, facilities originally developed for cryptocurrency mining are emerging as attractive locations for AI computing because they already possess access to high-voltage electricity, industrial-scale cooling systems and large land parcels suitable for expansion.

Analysts see this convergence between cryptocurrency infrastructure and artificial intelligence as one of the defining shifts in the digital infrastructure sector.

Crypto Market Adds $90 Billion in a Week as Bitcoin Miner Stress Reaches Historic Levels

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Paul Ugbede Godwin

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July 7, 2026

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The cryptocurrency market has staged another impressive recovery, adding approximately $90 billion to its total market capitalization within a single week. This surge reflects renewed investor confidence, increased institutional participation, and optimism surrounding the broader digital asset ecosystem.

While rising market capitalization often signals strength, another important metric tells a more complex story: Bitcoin miners are experiencing stress levels not seen in previous market cycles. The rapid expansion of crypto’s total market value demonstrates that capital is once again flowing into digital assets.

Bitcoin continues to lead the rally, with Ethereum and several major altcoins also contributing to the overall increase. Positive macroeconomic expectations, growing interest in tokenized financial products, and sustained demand for cryptocurrencies have encouraged investors to re-enter the market after periods of uncertainty.

Beneath the surface of this market optimism lies a significant challenge for Bitcoin miners. Mining remains the backbone of Bitcoin’s security model, requiring specialized hardware and enormous amounts of electricity to validate transactions and secure the network.

Following the latest Bitcoin halving, mining rewards were reduced by half, dramatically lowering the amount of Bitcoin miners receive for producing new blocks. This reduction has intensified financial pressure across the mining industry. Although Bitcoin’s price has recovered considerably, many mining companies continue to struggle with rising electricity costs, increasing network difficulty, expensive hardware upgrades, and shrinking profit margins.

Historical indicators suggest that miner stress has reached levels rarely observed in Bitcoin’s history. Miner stress is measured using several on-chain and operational metrics, including profitability, hash rate growth, selling pressure, and reserve balances.

When mining becomes less profitable, companies often sell larger portions of their Bitcoin holdings to finance daily operations, repay debt, or invest in more efficient equipment. Increased selling from miners can temporarily introduce additional supply into the market, creating short-term volatility.

Bitcoin’s network continues to demonstrate remarkable resilience. The global hash rate remains near record highs, indicating that miners continue investing in infrastructure despite reduced rewards. This reflects long-term confidence in Bitcoin’s future value and the expectation that higher prices will eventually offset today’s operational challenges.

The divergence between rising market capitalization and miner stress illustrates the complexity of the cryptocurrency ecosystem. Investors are focusing on broader adoption, institutional investment, and improving regulatory clarity, while miners must manage immediate operational realities.

These narratives can coexist, with bullish market sentiment occurring alongside financial strain within the mining sector. Institutional demand has become an increasingly important driver of Bitcoin’s price performance.

Exchange-traded products, corporate treasury allocations, and growing acceptance of digital assets by traditional financial institutions have created new sources of demand that were less prominent in previous market cycles. This institutional buying has helped absorb selling pressure from miners and other market participants.

The sustainability of the current rally will depend on several factors. Continued macroeconomic stability, supportive regulatory developments, technological innovation, and expanding real-world blockchain applications could provide additional momentum for the crypto market. Miner profitability remains a key indicator to monitor, as prolonged financial stress could trigger industry consolidation and reshape the competitive landscape of Bitcoin mining.

The addition of $90 billion to the crypto market’s valuation highlights renewed confidence in digital assets. Yet the historic stress facing Bitcoin miners serves as a reminder that every market rally has underlying structural challenges. As the industry matures, balancing investor optimism with the economic realities of network participants will remain essential to the long-term health and sustainability of the cryptocurrency ecosystem.

Construction and Reconstruction of UI International School, Hijab

By

Mutiu Iyanda

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July 7, 2026

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The controversy surrounding the use of the hijab at the International School, University of Ibadan (ISI) has once again exposed one of Nigeria’s enduring social realities: our public debates are rarely about the immediate issue before us. Although the disagreement appears to concern whether female Muslim students should wear the hijab with their school uniform, the public reactions reveal something much deeper. They demonstrate how Nigerians construct the hijab as a symbol of competing ideas about constitutional rights, institutional authority, religious identity, citizenship, and national coexistence.

A review of public comments on the ISI controversy reveals that the hijab is no longer perceived as merely a piece of clothing. Instead, it has become a powerful social symbol onto which different groups project their beliefs and aspirations. For one group, the hijab represents an inalienable constitutional right. Their argument is straightforward: because the University of Ibadan is a federal institution, any school operating under its authority should uphold the constitutional guarantee of freedom of religion. In this construction, denying a student the right to wear the hijab is interpreted not as enforcing a dress code but as restricting religious freedom. Consequently, calls to “fight till the end” are framed as civic responsibility rather than religious activism.

Another group constructs the issue very differently. To them, ISI functions as a private educational institution with the right to determine its admission conditions and uniform policy. Parents, they argue, voluntarily choose the school and should respect its established rules. If the school’s policies conflict with personal religious convictions, the appropriate response is to enrol one’s child in another institution rather than compel the school to alter its regulations. Within this discourse, the hijab becomes less a constitutional question than one of contractual agreement and institutional autonomy.

Between these competing positions lies an unresolved question that repeatedly surfaced in public discussions: What exactly is ISI? Is it a public institution because it is connected to the University of Ibadan, or is it a private entity because it is self-financing and independently managed? This disagreement over institutional identity has become as significant as the debate over the hijab itself. The answer determines whether constitutional obligations or institutional discretion should prevail.

Beyond the legal arguments, the comments also reveal how the hijab is socially constructed in remarkably different ways. For many Muslim contributors, it is an essential expression of religious identity, obedience to God, and constitutional liberty. For others, it is interpreted as an unnecessary religious display within an educational environment that should prioritise uniformity and neutrality. Some commenters went further, portraying the hijab as a source of division, while others viewed resistance to it as evidence of religious intolerance.

Perhaps most revealing is the fact that the same piece of fabric simultaneously symbolises modesty, resistance, constitutional freedom, institutional disorder, religious commitment, Arab cultural influence, and even political activism. Such diverse interpretations demonstrate that the public is not debating the hijab itself; rather, they are debating what the hijab should mean within contemporary Nigerian society.

The discourse also exposes worrying patterns of religious polarisation. While many contributors advocated peaceful dialogue and mutual respect, others questioned the sincerity of Muslims, criticised Islamic beliefs, or dismissed the legitimacy of religious accommodation altogether. Conversely, some supporters of the hijab framed the issue in ways that suggested religious victory rather than constitutional negotiation. These positions deepen social divisions by replacing civic dialogue with identity-based confrontation.

Yet there were also voices calling for a more inclusive understanding of religious diversity. Some argued that if Muslim students are allowed to wear the hijab, students from other faiths should similarly be permitted to express their religious identities. Others questioned why Nigeria, in an era defined by artificial intelligence, robotics, and biotechnology, continues to expend enormous social energy on disputes over clothing instead of investing in educational innovation and national development.

The ISI controversy demonstrates that educational institutions have become symbolic spaces where broader struggles over religion, law, identity, and governance are negotiated. Whether one supports or opposes the wearing of the hijab, reducing the debate to a simple choice between religion and school rules overlooks the complexity of the issues involved.

As the ISI case continues to shape public conversation, the country has an opportunity to rethink how educational spaces can accommodate diversity while preserving institutional integrity. Ultimately, the future of Nigeria will not be determined by whether the hijab is permitted at one school. It will be determined by whether Nigerians can transform deeply contested symbols into opportunities for dialogue rather than division. That is the real challenge exposed by the ISI debate, and it is one that extends far beyond the gates of a single school.

Microsoft Cuts 4,800 Jobs, Restructures Xbox, and Spins Off Studios As AI Spending Reshapes Business Priorities

By

Samuel Nwite

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July 7, 2026

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Microsoft has announced plans to cut 4,800 jobs, or about 2.1% of its global workforce, while undertaking a sweeping restructuring of its Xbox gaming business that includes divesting several game studios as the technology giant intensifies efforts to improve returns from its gaming operations and redirect resources toward its rapidly expanding artificial intelligence business.

The layoffs, announced on Monday, will see 3,200 positions eliminated within Microsoft’s gaming division, including the immediate dismissal of 1,600 employees, making it one of the company’s largest gaming-related restructurings since completing its blockbuster acquisition of Activision Blizzard.

The latest cuts come as Microsoft attempts to balance record investment in AI infrastructure with pressure to improve profitability across businesses that have struggled to generate expected returns, particularly Xbox.

The restructuring underscores Microsoft’s reassessment of its gaming strategy after investing tens of billions of dollars to expand Xbox through acquisitions and exclusive game development.

Despite acquiring Activision Blizzard in one of the largest technology deals in history and steadily building a portfolio of major game studios, Xbox has continued to trail Sony’s PlayStation and Nintendo in console sales and market share. Rather than relying primarily on console-exclusive titles to boost Xbox hardware sales, Microsoft has increasingly embraced a platform-agnostic strategy, releasing more first-party games across rival platforms to expand software revenue.

The latest restructuring accelerates that transition.

In a memo to employees, Xbox President Asha Sharma said Microsoft would separate or divest several development studios as part of efforts to create more focused businesses while reducing operational complexity.

Among the changes:

Compulsion Games, the studio behind South of Midnight, will become an independent company.
Double Fine Productions, creator of Psychonauts, will also regain independence.
Ninja Theory, developer of the Senua franchise, will be spun off to concentrate on expanding that intellectual property.
Undead Labs, known for the State of Decay series, will likewise become an independent business to accelerate the development of State of Decay 3.

Microsoft is also reviewing options for Arkane Studios, the acclaimed developer behind Dishonored and currently working on Marvel’s Blade.

According to Sharma, Arkane’s management has begun consultations with its workers’ union in France regarding the studio’s future, highlighting the international dimension of the restructuring and the regulatory requirements governing workforce changes in Europe.

AI Investment Increasingly Reshaping Microsoft’s Priorities

Microsoft has been undergoing broader restructuring as soaring AI investment consumes an increasing share of corporate resources. The company has emerged as one of the biggest beneficiaries of the artificial intelligence boom through its partnership with OpenAI and the rapid expansion of its Azure cloud computing platform.

Azure remained the exclusive commercial provider of OpenAI’s models until April, helping drive strong enterprise demand for AI infrastructure and cloud services.

However, meeting that demand has required unprecedented capital spending. Earlier this year, Microsoft projected approximately $190 billion in capital expenditure for 2026, far exceeding analysts’ expectations as it accelerates construction of AI data centers, networking infrastructure and computing capacity needed to support generative AI services.

While Azure continues to outperform expectations, the enormous cost of expanding AI infrastructure has placed growing pressure on free cash flow and prompted investors to scrutinize spending across Microsoft’s other businesses.

According to Gil Luria, Managing Director at D.A. Davidson, workforce reductions have become part of Microsoft’s strategy for funding AI expansion without sacrificing profitability.

“Microsoft has been managing down its workforce in order to pay for its AI investments,” Luria said.

“By keeping its headcount down they have been able to accelerate revenue growth while maintaining the same margins.”

The gaming business has faced additional challenges beyond hardware competition.

Artificial intelligence tools capable of automating software development and business processes are beginning to reshape parts of Microsoft’s broader software ecosystem, while rising component costs have squeezed profitability across consumer hardware.

A sharp increase in memory chip prices, driven largely by explosive demand from AI data centers, has significantly raised manufacturing costs for gaming consoles and other consumer devices. Microsoft has already responded by increasing Xbox console prices, even as hardware demand remained subdued.

At the same time, the company has increasingly relied on software subscriptions, cloud gaming and cross-platform publishing to offset slowing console sales. The strategy represents a major departure from the traditional console model, under which exclusive games were primarily designed to encourage consumers to purchase Xbox hardware.

Instead, Microsoft now aims to maximize engagement across multiple platforms, including rival consoles and PC, while growing recurring subscription revenue through Game Pass.

Part of Broader Cost-Cutting Effort

The latest job reductions follow earlier workforce actions undertaken this year. Microsoft previously offered voluntary separation packages to roughly 7% of its U.S. workforce, equivalent to approximately 9,000 employees, as part of wider organizational changes ahead of its new fiscal year. The company has historically implemented staffing adjustments near the end of its fiscal year as management reallocates budgets and investment priorities.

However, the latest cuts are considerably more extensive within the gaming business and reflect increasing pressure to demonstrate returns from years of acquisition-driven expansion.

Microsoft’s shares fell 1.4% following the announcement. The decline adds to a difficult year for the stock, which has fallen nearly 23% during the first six months of 2026, marking its weakest first-half performance since 2022.

Investors will now focus on Microsoft’s quarterly earnings later this month for updated guidance on Azure growth, AI spending, operating margins and the financial impact of its latest restructuring.

The results are expected to provide further insight into how successfully Microsoft is balancing massive AI investment with efforts to streamline legacy businesses, including gaming, amid one of the company’s most significant strategic transitions in years.