MAROKO133 Eksklusif ai: Elon Boasts That His AI Can Generate a Beautiful Woman Saying “I W

📌 MAROKO133 Update ai: Elon Boasts That His AI Can Generate a Beautiful Woman Sayi

Elon Musk appears to be going through it.

On Saturday, the billionaire became the subject of widespread mockery after boasting about how the video generating model from his AI company xAI, Grok Imagine, can fabricate a photorealistic clip of a woman looking into the camera and declaring her undying love for you — which is either an indication that Musk thinks his fans are a bunch of lonely sad sacks, or that he himself is one, or both.

“Grok Imagine prompt: She smiles and says, ‘I will always love you,’” Musk wrote in a post with the video on his website X, formerly Twitter, published at the very well-adjusted hour of 4:20 AM (Musk is a late riser, so this was likely posted at the end of a long day, not the beginning of it.)

The resulting video, true to Musk’s prompt, does show a clearly AI-generated woman saying “I will always love you” in a voice that’s obviously of AI origin — which, all subtext aside, is an unconvincing demonstration of Grok’s supposedly incredible capabilities.

It gets even sadder. Replying to his own post, Musk also revealed that the AI-generated woman was actually one that he saw in another Grok-created image by a fan. In other words, Musk didn’t just ask for a generic video of a fake woman saying he loves him — he wanted someone else’s specific fake AI woman to do it.

The ensuing mockery was vicious.

“I guess it kinda makes sense that the first trillionaire is the biggest loser of all time,” wrote author John Ganz. (Last week, shareholders at Musk’s company Tesla approved an outrageous pay package for Musk worth up to $1 trillion.)

Netizens elsewhere on the site dubbed Musk’s video “the saddest post in the history of this website” and also the “most divorced post of all time.”

For context, Musk interpersonal relationships are famously fraught. Musk has married two women and been divorced thrice, and has fathered at least 14 children that we know of with multiple partners. Not all remember him fondly. Musk went through an ugly breakup and even uglier custody battle with his former partner, the pop musician Claire “Grimes” Boucher, over the three children they had together, including the now four-year-old named X Æ A-12. (Some observed that the recent AI video somewhat resembled Grimes.) Nor is he vying for father of the year: he’s completely estranged from his daughter Vivian Wilson, whom he has frequently attacked for being transgender. Wilson disowned Musk, whom she says treated her cruelly while she was growing up.

Then there’s Musk disarming obsession with breeding (hence the 14 or more kids). He frequently solicits women to have his children, usually by propositioning them with a donation of his sperm. One of these women worked at one of his own companies and another was a conservative influencer that Musk had interacted with on Twitter, the latter of whom he reportedly offered $15 million to keep his relationship to the child a secret. Musk has also been accused of exposing his genitals to a flight attendant employed by SpaceX, touching her leg, and offering to buy her a horse in exchange for doing “more.”

Now we’ve laid out all that baggage, you’ll now understand why Musk’s recent post will dump a bunch of fuel onto an already raging fire amid fresher concerns over his seeming unhealthy infatuation for AI companions.

In July, Musk’s xAI announced that its AI chatbot Grok — the same one that called itself “MechaHitler” not too long ago — now came with several official digital personas, including an anime girl named “Ani” dressed in a racy outfit. In a word: a waifu.

No one appeared to like Ani more than Musk himself. In the weeks following, he responded to multiple lewd depictions of the AI companion. His open infatuation with Ani became so blatant that even his fans began accusing him of “gooning to AI Anime.” Recent reporting from the Wall Street Journal underscored the depths of his obsession; Musk, per the reporting, has taken a personal hand in designing Ani, to such an extent that it drew concern from his own employees.

More on Elon Musk: Elon Musk’s Brain Crashes When Asked Why He Thinks Zohran Mamdani Is a Liar

The post Elon Boasts That His AI Can Generate a Beautiful Woman Saying “I Will Always Love You” appeared first on Futurism.

🔗 Sumber: futurism.com

📌 MAROKO133 Breaking ai: Celosphere 2025: Where enterprise AI moved from experimen

Presented by Celonis

After a year of boardroom declarations about “AI transformation,” this was the week where enterprise leaders came together to talk about what actually works. Speaking from the stage at Celosphere in Munich, Celonis co-founder and co-CEO Alexander Rinke set the tone early in his keynote:

“Only 11 % of companies are seeing measurable benefits from AI projects today,” he said. “That’s not an adoption problem. That’s a context problem.”

It’s a sentiment familiar to anyone who’s tried to deploy AI inside a large enterprise. You can’t automate what you don’t understand — and most organizations still lack a unified picture of how work in their companies really gets done.

Celonis’ answer, showcased across three days at the company’s annual event, was less about new tech acronyms and more about connective tissue: how to make AI fit within the messy, living processes that drive business. The company framed it as achieving a real “Return on AI (ROAI)” — measurable impact that comes only when intelligence is grounded in process context.

A living model of how the enterprise works

At the heart of the keynote was what Rinke called a “living digital twin of your operations.” Celonis has been building toward this moment for years — but this was the first time the company made clear how far that concept has evolved.

“We start by freeing the process,” said Rinke. “Freeing it from the restrictions of your current legacy systems.” Data Core, Celonis’ data infrastructure, extracts raw data from source systems. It’s capable of querying billions of records in near real time with sub-minute refresh — extending visibility beyond traditional systems of record.

Built on this foundation, the Process Intelligence Graph sits at the center of the Celonis Platform. It’s a system-agnostic, graph-based model that unifies data across systems, apps, and even devices, including task-mining data that captures clicks, spreadsheets, and browser activity. It combines this data with business context—business rules, KPIs, benchmarks, and exceptions. Every transaction, rule, and process interaction becomes part of a continuously updated replica that reflects how the organization actually operates.

On top of the Graph, the company’s new Build Experience allows organizations to analyze, design, and operate AI-driven, composable processes — integrating AI where it delivers business impact, not just technical demos:

• Analyze where processes stall or repeat

• Design the future state, setting outcomes, guardrails, and AI touchpoints

• Operate with humans, systems, and AI agents working in sync — now orchestrated through a generally available Orchestration Engine that can trigger and monitor every step in one flow

It’s a deliberate shift from discovery-driven AI pilots to outcome-driven AI operations — and a blueprint for orchestrating agentic AI, where human teams, systems, and autonomous agents work together through shared process context rather than in silos.

Real-world proof: Mercedes-Benz, Vinmar, and Uniper

The Celosphere stage offered real proof of theCelonisPlatform in action, through live stories from customers already building on it.

Mercedes-Benz shared how process intelligence became their “connective tissue” during the semiconductor crisis. “We had data everywhere — plants, suppliers, logistics,” recalled Dr. Jörg Burzer, Member of the Board of Management of Mercedes-Benz Group AG. “What we didn’t have was a way to see it together. Celonis helped us connect those dots fast enough to act.”

The partnership has since expanded across eight of the company’s ten most critical processes, from supply chain to quality to after-sales. But what impressed the audience wasn’t just the scale — it was the cultural shift.

“If you show data in context, and let teams visualize processes, you also change the culture,” Burzer said. “It’s not just process transformation — it’s people transformation.”

At Vinmar, CEO Vishal Baid described Celonis as “the foundation of our automation and AI strategy.” His global plastics distribution business has already automated its entire order-to-cash process for a $3 B unit, achieving a 40 % productivity lift. But Baid wasn’t there to just celebrate finished work — he was looking ahead.

“Now we’re tackling the non-algorithmic stuff,” he said. “Matching purchase and sales orders sounds simple until you have thousands of edge cases. We’re building an AI agent that can do that allocation intelligently. That’s the next frontier.”

And in the energy sector, Uniper, with partner Microsoft, demonstrated how process-aware AI copilots are already reshaping operations. Using Celonis and Microsoft’s AI stack, Uniper can predict when hydropower plants will need maintenance — and cluster those jobs to reduce downtime and emissions.

“Each technician, each part, each system plays a role in a living process,” said Hans Berg, Uniper’s CIO. “The human can’t see all of it. But process intelligence can — and it can nudge the system toward the best outcome.”

Agnes Heftberger, CVP & CEO, Microsoft Germany & Austria, who joined Berg on stage, summed it up crisply:

“The hard part isn’t building AI features — it’s scaling them responsibly,” she explained. “You need to marry intelligence with the beating heart of the company: its processes.”

Across the global community, Celonis reports more than $8 billion in realized business valueand over 120 certified value champions — proof that process intelligence is driving measurable impact far beyond pilots. Rinke called it “the early proof points of a true return on AI.”

From closed systems to composable intelligence

Celosphere 2025 marked a shift from architecture to interoperability — from defining enterprise AI to making it work across boundaries.

Rinke’s vision for the future is unapologetically open: “Good things grow from open ecosystems,” he said. That philosophy is taking shape through deeper platform integrations — including Microsoft Fabric, Databricks, and Bloomfilter — with zero-copy, bidirectional lakehouse access that lets customers query process data in place with minimal latency. The company also announced MCP Server support for embedding the Process Intelligence Graph directly into agentic AI platforms like Amazon Bedrock and Microsoft Copilot Studio.

These updates make “composable enterprise AI” tangible — orga…

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🔗 Sumber: venturebeat.com