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A Lot Of Console Players Keep Waiting For Satisfactory On PS5

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Satisfactory has been around on PC for a while now, and every few months the same question shows up again.

Can you play it on console yet?

People keep asking about satisfactory ps5 because the game honestly looks perfect for long couch sessions. Big factories, exploration, automation, multiplayer chaos. At first it mostly feels like exploration and building.

But later the world becomes one giant moving machine that never stops updating.

The Game Looks Relaxing Until Factories Become Huge

At first Satisfactory feels pretty simple.

You place miners, connect conveyor belts, unlock new machines, and slowly automate resources.

Nothing too crazy yet.

Then twenty hours later your factory stretches across mountains, trains run through the desert, drones fly overhead, and power systems look like giant electrical disasters.

That’s where people realize Satisfactory is way heavier than it first appears.

And honestly, that’s part of the reason console discussions keep happening.

Because the late-game factories become massive.

A Controller Setup Would Feel Very Different

Mouse and keyboard work really well for Satisfactory because the game constantly asks players to build precise layouts.

Conveyor lines. Splitters. Power poles. Train stations.

You place things every few seconds.

And while controllers can absolutely work, factory games usually feel slower once building gets complicated.

Especially during late-game expansion.

That doesn’t mean console support is impossible. But huge factory setups would probably need a lot of interface adjustments to feel smooth long-term.

Players Keep Asking The Same Question

Every time updates happen, people search:

is satisfactory on ps5

And honestly, that makes sense.

A lot of survival and crafting games eventually move to consoles once the player base grows large enough.

But Satisfactory is not exactly a lightweight game.

Late-game saves can become demanding even on strong PCs. Massive factories constantly update machines, belts, vehicles, and logistics systems all at once.

That creates a lot of background calculations nonstop.

And console optimization for games like that usually takes serious work.

Multiplayer Makes Everything Harder

Singleplayer already pushes hardware pretty hard later on.

Multiplayer becomes even heavier.

One player builds giant aluminum factories. Another creates absurd train systems. Somebody else decides to cover an entire biome with fuel generators.

And suddenly the world becomes enormous.

That’s also why stable multiplayer matters a lot for this game.

Especially once friends spend weeks building together inside the same save file.

A lot of players eventually move toward server hosting satisfactory setups because local hosting starts struggling once factories become too large.

And honestly, that happens pretty often with long-term worlds.

Factory Games Never Really Stay Small

This is probably the biggest thing new players underestimate.

You think the factory is finished.

Then suddenly you need:

  • more steel
  • more power
  • larger train networks
  • extra oil production
  • bigger storage systems

And now the factory doubles in size again.

That loop basically never ends.

Which is why Satisfactory worlds slowly become giant projects over time instead of quick survival sessions.

And the larger the save gets, the harder console performance becomes to manage smoothly.

Performance Problems Show Up Gradually

Most factory games don’t suddenly break overnight.

Problems slowly build up.

At first everything runs perfectly fine.

Then belts start loading slower. Autosaves take longer. Multiplayer desync becomes noticeable. Trains stutter occasionally.

And eventually the world becomes heavy enough that optimization starts mattering a lot.

That’s why some players are skeptical about how a full satisfactory game ps5 version would handle extremely large saves later.

Small factories are easy.

Gigantic endgame worlds are the real challenge.

Mods Would Probably Complicate Things Too

The PC version already has players building ridiculous setups using mods.

Extra decorations. New logistics systems. Huge factory tools.

And modded saves become much heavier than normal worlds pretty quickly.

Console versions usually avoid mod support completely or keep it very limited.

Not because developers hate mods.

But because stability becomes much harder once people start stacking giant community-made systems on top of already massive factories.

And honestly, modded Satisfactory worlds can already stress decent PCs pretty badly.

Long-Term Saves Matter More Than Graphics

Most players do not care if one texture looks slightly better.

They care if the save stays playable after hundreds of hours.

And honestly, that’s what actually matters later.

People keep coming back to the same save for months anyway.

Factories keep expanding. Logistics become more complicated. Production lines multiply nonstop.

And once performance drops too hard, motivation disappears surprisingly fast.

Nobody wants their giant factory world turning into a laggy mess after spending weeks building it.

The Community Will Probably Keep Asking For Console Versions

And honestly, that probably won’t stop anytime soon.

The game already has a strong audience outside hardcore PC factory fans. A lot of players enjoy slower building games on console now.

So naturally people want to know if Satisfactory could work there too.

And maybe eventually it will.

But huge automation games are difficult because performance problems grow together with the world itself.

That’s the tricky part.

The better your factory becomes, the harder the game has to work behind the scenes.

Most Players Just Want Stable Multiplayer

That’s honestly what matters most later on.

People remember giant train systems, ridiculous conveyor highways, nuclear disasters, and factories spreading across entire biomes.

But unstable performance ruins those moments pretty fast.

Especially in multiplayer.

So whether the game stays PC-only or eventually reaches consoles, stability is probably the thing players care about most once their worlds become massive.

Because giant factories are fun. Rebuilding broken saves after crashes definitely is not.

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.