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Scepticism, satire, mockery trail call on gods to save Oyo kidnapped victims

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In the wake of a harrowing kidnapping incident in the Orire local government area of Oyo State, a community’s desperate turn to traditional spiritual intervention has ignited a fierce debate across Nigeria’s digital landscape. As footage of traditional rites and the invocation of deities surfaced online, the public response has been characterised by a sharp divide between those clinging to ancestral faith and a growing demographic of sceptics who view such methods as a symptom of a failed state security apparatus.

An analysis of a sample of 26 distinct public reactions reveals a society grappling with “medicine after death” syndrome, where spiritualism is called upon only after the formal protection of the law has collapsed.

A Data-Driven Divide

The discussion is overwhelmingly dominated by scepticism and mockery, which accounts for approximately 42% (11 out of 26) of the analysed commentary. This significant plurality of voices suggests a deep-seated disillusionment with supernatural solutions to modern criminal crises.

Commenters frequently employed dark humour to highlight the perceived absurdity of the situation. One observer noted that if the “deity self no stand well,” there is a very real risk that “the kidnappers go carry am [the deity]”. Others suggested that the gods have effectively abandoned their posts due to the prevailing economic climate, with one commenter quipping that the deities had “relocated to Cotonou for long because of hardship & insecurities”.

This satirical trend extended to personal anecdotes intended to illustrate the unreliability of spiritual practitioners. One respondent recalled a native doctor who was hired to “hold the rain” for a wedding, only for the doctor himself to be stranded by a downpour while attempting to purchase his materials.

The Security Vacuum

Beyond the satire, 8% of the discussion focused on the failure of institutional security. The incident has raised uncomfortable questions about the effectiveness of the Amotekun Corps, the regional security outfit established to combat such threats. “WHAT HAPPENED TO THEIR SURVEILLANCE SYSTEMS. WHAT HAPPENED TO AMOTEKUN?” one commenter demanded, highlighting a broader frustration with the state’s inability to protect its citizens.

There is also a poignant sense of grief underlying the cynicism. Referring to a recent tragedy involving a beheaded school teacher, one commenter asked bitingly if these “invocations and incantations” could restore a life already lost, or why the deities were absent “when they got kidnapped” in the first place.

The Ethics of the “Digital Shrine”

The controversy has also sparked a debate on the intersection of tradition and social media. Approximately 12% of commenters criticised the decision to film and broadcast the rituals. For these observers, the “display of everything on social media” is viewed as a desecration of sacred or sorrowful matters. There is a sense that the “tribe” has become too preoccupied with the “camera,” potentially inviting mockery for rites that were historically conducted in solemn privacy.

Persistent Faith and Fatalism

Despite the prevailing mockery, a resilient 15% of the commentary defended the traditional practices, urging the public not to “play with gods and the ancestors”. These voices argue that ancestral justice is “wise” and does not always conform to the rapid news cycle of the modern age, noting that it can take “many months some even take years before it takes effect”.

However, this faith is often tempered by a sense of fatalism (8%). Some commenters suggested that the gods are shielded from accountability: “If they do no work, the gods are not to blame,” one user remarked, a sentiment echoed by others who feel that the ultimate responsibility for failure lies with the mortals or the situation itself.

While some see the invocation of Sango or other traditional deities as a powerful reclamation of cultural heritage in the face of terror, the data suggests a majority view it with a mixture of amusement and despair.

As the “eyes of the gods” are called upon to watch over the victims, the citizens are watching something else: the stark reality that in the absence of a functioning surveillance system or a reliable police force, the line between ancient faith and modern satire becomes increasingly blurred. For many, the true test remains whether these deities are indeed “more reliable than security agencies” or if the community is simply left to “wait and see” in the dark

 

OpenAI Moves to Offer new Guaranteed Capacity for customers to secure compute

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OpenAI is moving to lock in one of the most critical commodities in the artificial intelligence race: computing power.

The company on Tuesday unveiled “Guaranteed Capacity,” a new long-term infrastructure offering that allows enterprise customers to reserve dedicated AI compute capacity for one, two, or three years. The initiative is part of a bigger shift in how leading AI companies are commercializing scarce computing resources as demand for advanced models, agents, and enterprise AI systems accelerates.

OpenAI Chief Executive Sam Altman framed the move as a response to growing customer anxiety over access to AI infrastructure, particularly as the industry enters what many executives now describe as a prolonged compute shortage.

“Customers are increasingly asking us for certainty on capacity. As models get better, we expect that the world will be capacity-constrained for some time,” Altman wrote on X.

The programme allows customers to secure access to computing resources at discounted rates that vary with the duration of their commitments. Longer contracts receive steeper pricing incentives, effectively creating a reservation model similar to long-term cloud infrastructure agreements pioneered by hyperscalers such as Amazon and Microsoft.

The launch also provides a clearer window into how OpenAI plans to finance its rapidly expanding infrastructure ambitions ahead of a potential public listing that could rank among the largest technology IPOs in history.

Compute has emerged as the defining bottleneck of the generative AI era. Training and deploying frontier AI models requires enormous clusters of specialized chips, massive data-center footprints, and huge electricity consumption. Industry-wide competition for graphics processing units, networking systems, and data-center capacity has intensified since the debut of ChatGPT in late 2022.

OpenAI has already warned investors that its infrastructure spending could reach roughly $600 billion by 2030, underscoring the scale of capital required to remain competitive against rivals including Google, Anthropic, and Meta.

The company’s aggressive spending spree last year unsettled parts of Wall Street after it signed a wave of multibillion-dollar compute and data-center agreements. Critics questioned whether the startup’s revenue base could eventually justify such enormous commitments.

The Guaranteed Capacity programme appears designed partly to answer those concerns by locking customers into predictable, long-duration infrastructure contracts that can support future investment planning. It effectively turns compute access into a subscription-style enterprise product.

Altman acknowledged the balancing act involved, saying OpenAI would preserve enough infrastructure for consumer-facing products, including ChatGPT and its coding platform Codex, even while allocating reserved compute to corporate customers.

The move also signals a broader structural change in the AI market. Early competition centered on model quality and research breakthroughs. Increasingly, however, the contest is shifting toward infrastructure control, energy access, and chip supply.

Several of OpenAI’s rivals are pursuing similar strategies. Google has expanded deployment of its proprietary tensor processing units, or TPUs, while companies including Amazon Web Services and Nvidia continue racing to meet soaring enterprise demand for AI workloads.

OpenAI’s new offering comes as corporations deploy AI systems beyond experimentation and into core operations such as software development, customer support, research automation, and agentic workflows capable of performing complex multistep tasks. These deployments require stable, guaranteed computing resources rather than the variable access models typical of public AI platforms.

The programme may also strengthen OpenAI’s hand in competing for large enterprise contracts, especially against cloud providers that already offer reserved-capacity agreements for storage and computing infrastructure.

Analysts say the initiative highlights how AI infrastructure is becoming increasingly financialised, with access to compute evolving into a strategic asset similar to energy supply or semiconductor fabrication capacity.

OpenAI’s valuation has surged past $850 billion in private markets, fueled by investor optimism around generative AI adoption and expectations of a blockbuster stock market debut. Securing recurring infrastructure revenue through multiyear commitments could improve visibility into future cash flows as the company prepares for life as a public enterprise.

However, the offering underscores a growing divide in the AI economy between companies able to afford premium infrastructure access and smaller players that may struggle to secure compute during periods of supply scarcity.

For OpenAI, the strategy is ultimately about converting its biggest operational challenge into a commercial advantage. Rather than treating constrained computing capacity purely as a cost burden, the company is now packaging the certainty of access itself as a premium product.

Take-Two CEO Says AI Can Build Game Assets, But Not the Next ‘Grand Theft Auto’

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Take-Two Interactive Chief Executive Officer Strauss Zelnick says artificial intelligence will reshape video-game production and improve efficiency across the industry, but he rejects the growing belief in Silicon Valley that AI alone can create the next blockbuster entertainment franchise.

Speaking on entrepreneur David Senra’s podcast, Zelnick said he is “all in” on AI as a productivity tool while arguing that the technology still lacks the originality, unpredictability, and cultural instinct required to produce a global hit comparable to Grand Theft Auto V.

“Remember what AI is, despite the fact that there are people in Silicon Valley who don’t want you to believe this,” Zelnick said. “It’s big data sets, lots of compute, and a large language model mushed together.”

“That’s what they are. So, data sets by their very nature are backward-looking.”

The comments offer one of the clearest views yet from a major gaming executive on how large publishers are approaching generative AI amid growing investor speculation that AI tools could radically lower development costs and disrupt traditional game studios.

Instead, Zelnick argued that AI is more likely to accelerate production workflows and asset generation than replace the human creativity behind successful entertainment franchises.

“AI so far is really great at asset creation, but hit creation isn’t asset creation,” he said.

‘Clones Don’t Sell’

Take-Two’s subsidiary Rockstar Games sits behind one of the most commercially successful entertainment franchises ever created.

Since its 2013 release, Grand Theft Auto V has sold more than 200 million copies globally, generating tens of billions of dollars across game sales, subscriptions, and online content.

Its successor, Grand Theft Auto VI, remains one of the most anticipated releases in modern entertainment after suffering multiple delays.

Zelnick acknowledged that AI systems may eventually generate games resembling existing titles but argued that imitation rarely creates lasting commercial success.

“AI could create another GTA lookalike,” he said. “But clones don’t sell.”

The remarks cut against mounting concerns across the gaming industry that generative AI could commoditize game development and erode the advantages held by established publishers. Technology companies and AI startups have increasingly promoted tools capable of generating game environments, dialogue, animation, coding, and visual assets using text prompts.

Some investors view those advances as a threat to large publishers whose development budgets for blockbuster games can exceed hundreds of millions of dollars.

Zelnick, however, argued that low barriers to entry have existed in gaming for years and have not eliminated the importance of creative execution.

“Anyone can make a video game last week,” he said. “Anyone could make a video game five years ago. The technology is readily available. It’s commoditized.”

What remains scarce, according to Zelnick, is the ability to create culturally resonant intellectual property that stands out in an oversaturated entertainment market.

AI Raises Creative Expectations Rather Than Cutting Costs

Zelnick’s position tags along a broader debate unfolding across Hollywood, gaming, publishing, and music over whether generative AI ultimately reduces labor demands or simply changes the type of work creators perform.

In a recent interview with Business Insider, Zelnick said Take-Two employees are already being encouraged to use AI systems such as Anthropic’s Claude and Google’s Gemini to assist with workflows and productivity. But he cautioned that technological efficiency historically tends to increase creative ambition rather than permanently lower development costs.

“Everyone understands this creates more work, not less work,” he said. “When you make certain things easier, your appetite gets greater.”

That observation mirrors patterns seen across previous technological shifts in entertainment and software development. As graphics engines improved, studios built larger and more detailed worlds. As internet speeds increased, games expanded into massive online ecosystems. As mobile hardware became more powerful, user expectations around visual quality and scale rose dramatically.

AI may now trigger a similar cycle.

Rather than replacing creative teams outright, industry executives increasingly expect AI to automate repetitive production tasks while pushing studios to pursue even larger, more sophisticated, and more immersive experiences.

That means a lot for Take-Two. The company is under enormous pressure to deliver another cultural phenomenon with Grand Theft Auto VI, especially as development timelines and budgets across AAA gaming continue to climb.

Industry analysts increasingly view blockbuster franchises as central pillars in the wider battle for consumer attention against streaming platforms, social media, creator economies, and AI-generated entertainment.

Zelnick’s comments suggest he believes the defining competitive advantage in that environment will remain human creativity, not merely computational power.

While AI may help developers build worlds faster, write code more efficiently, and generate assets at scale, he argues the technology still cannot replicate the originality and cultural intuition required to produce enduring global franchises. For publishers like Take-Two, that distinction could determine whether AI becomes a disruptive threat or simply another powerful tool in modern game development.

China Expected To Hold Lending Rates Steady As Liquidity Surge Offsets Pressure For Stimulus

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China is widely expected to leave its benchmark lending rates unchanged for a 12th straight month in May, signaling that policymakers are becoming increasingly cautious about deploying aggressive monetary easing even as economic momentum weakens and geopolitical tensions intensify.

A Reuters survey of 24 market participants showed unanimous expectations that the one-year loan prime rate (LPR) would remain at 3.00%, while the five-year LPR, the benchmark for mortgage pricing, would stay at 3.50% at Wednesday’s monthly fixing.

The anticipated pause underscores how the People’s Bank of China is attempting to balance slowing domestic growth against mounting inflationary risks tied to the ongoing U.S.-Israeli conflict with Iran and surging global commodity prices.

Although China’s economy continues to struggle with weak consumer demand, a prolonged property downturn, and sluggish private-sector borrowing, policymakers appear reluctant to cut rates further because financial conditions inside the banking system are already exceptionally loose.

Interbank cash levels have surged in recent weeks, reducing immediate pressure for additional easing.

The average overnight repo rate, a key gauge of liquidity in China’s banking system, has hovered near 1.2% over the past month, its lowest level since August 2023.

That means short-term market funding costs are already trading well below the PBOC’s official seven-day reverse repo rate, the main policy benchmark that anchors loan pricing across the economy.

Analysts at Huachuang Securities said the central bank therefore has “little incentive” to cut reserve requirement ratios or lower interest rates further.

The LPR itself is determined monthly after 20 commercial banks submit proposed lending rates to the National Interbank Funding Center, but the pricing mechanism is heavily influenced by the PBOC’s policy guidance.

The central bank last week reiterated its commitment to a “moderately loose” monetary stance. However, markets noticed a significant shift in tone.

Unlike previous quarterly policy reports, the latest implementation report omitted any direct references to possible cuts in interest rates or bank reserve requirements, reinforcing expectations that Beijing is entering a more measured phase of policy management.

That shift underlines growing concern inside China over imported inflation pressures stemming from the widening Middle East conflict. The war involving Iran has sharply lifted oil and commodity prices globally, increasing input costs for manufacturers and raising the risk that inflationary pressures could intensify further across Asia.

China’s producer prices unexpectedly accelerated to a 45-month high in April, while consumer inflation also picked up, complicating the PBOC’s room for maneuver.

The situation presents a difficult balancing act for Chinese policymakers, where, on one hand, economic activity continues losing momentum.

Industrial production slowed in April, while retail sales weakened to their lowest level in more than three years, highlighting persistent fragility in household spending and domestic confidence. Businesses also remain hesitant to borrow aggressively despite low financing costs, reflecting concerns over demand, margins, and broader economic uncertainty.

On the other hand, rising energy prices linked to geopolitical instability are beginning to create inflation risks that Beijing cannot entirely ignore.

Unlike Western central banks that spent the past two years battling entrenched inflation, China has largely faced the opposite problem: weak pricing power, subdued consumption, and deflationary pressure in several sectors.

But the Gulf conflict is now altering that equation.

Higher oil prices feed directly into transport, manufacturing, and logistics costs, increasing the likelihood of imported inflation even in economies with weak domestic demand. Still, most analysts believe the PBOC will maintain an accommodative bias overall, even without immediate rate cuts.

Ding Liang, an advisor to ?research firm Macro Hive, said the central bank remains focused on maintaining abundant liquidity to cushion the economy from external shocks tied to energy markets and slowing global growth.

Ding added that “weak credit demand and low bank funding costs are likely to keep long-term Chinese bond yields relatively contained.”

That dynamic increasingly distinguishes China from many advanced economies. While U.S. Treasury yields and global borrowing costs have climbed sharply amid inflation concerns and geopolitical risk, China’s bond market has remained comparatively stable.

Analysts attribute that resilience partly to China’s relatively closed financial system and its low correlation with international bond markets.

The stability also points to investor expectations that Beijing will avoid abrupt tightening even if inflation edges higher. The broader picture suggests Chinese policymakers are prioritizing financial stability over aggressive stimulus for now.

Authorities appear increasingly wary of reigniting leverage risks in property markets or creating excessive yuan weakness through large-scale easing measures. The yuan has already strengthened significantly this year due to robust exports and large trade surpluses, and the PBOC has repeatedly signaled discomfort with excessive currency volatility.

But Beijing is relying more heavily on targeted industrial support, infrastructure spending, and strategic investment programmes rather than broad monetary expansion to stabilize growth. That approach aligns with China’s longer-term effort to shift economic support toward advanced manufacturing, semiconductors, artificial intelligence, and energy security instead of debt-fueled property investment.

For global investors, the expected hold on lending rates supports the view that China’s stimulus cycle may remain restrained compared with previous downturns. The PBOC still has policy tools available if growth deteriorates further, but officials appear increasingly determined to avoid large-scale easing that could undermine financial stability or trigger capital outflows.

Much will now depend on how the Middle East conflict evolves. But Beijing appears content to keep liquidity abundant while holding benchmark lending rates steady, betting that targeted support and resilient exports can cushion the economy without resorting to aggressive monetary intervention.