MAROKO133 Eksklusif ai: Trump directs Pentagon to restart US nuclear tests to match Russia

📌 MAROKO133 Breaking ai: Trump directs Pentagon to restart US nuclear tests to mat

U.S. President Donald Trump has ordered the Pentagon to restart nuclear weapons testing to match Russia and China’s programs.

The announcement came through Trump’s Truth Social post on Wednesday, in which he stated, “Because of other countries’ testing programs, I have instructed the Department of War to start testing our Nuclear Weapons on an equal basis. That process will begin immediately.”

The message was posted less than an hour before Trump was scheduled to meet Chinese President Xi Jinping in South Korea on Thursday morning. The meeting aimed to ease tensions from the ongoing trade war. It also marked the first time the two leaders had met since 2019.

The United States has not conducted a full-scale nuclear weapons test since 1992. Trump’s statement left uncertainty about what form these new tests would take, as neither Russia nor China has confirmed full-scale tests in recent decades.

Russia’s new missile tests add to global tensions

The move follows recent developments from Moscow. Russian President Vladimir Putin announced on Sunday that Russia had successfully tested its “unique” Burevestnik nuclear-propelled cruise missile, capable of carrying a nuclear warhead.

The Kremlin described the test as part of efforts to “ensure the country’s national security.”

Trump later called Putin’s announcement “not appropriate.” Russian Deputy Foreign Minister Sergei Ryabkov told Russian media that Moscow had notified Washington in advance about the test.

Trump’s claims on U.S. nuclear arsenal questioned

In his Truth Social post, the U.S. president also made a controversial claim that the country now possesses more nuclear weapons than any other country.

“The United States has more Nuclear Weapons than any other country,” he wrote, adding that this “was accomplished, including a complete update and renovation of existing weapons, during my First Term in office.”

While Trump expanded an Obama-era modernization program for the U.S. nuclear arsenal, official data does not support his statement.

According to the International Campaign to Abolish Nuclear Weapons, Russia holds the world’s largest nuclear stockpile with over 5,500 warheads. The United States ranks second with about 5,044 nuclear weapons.

During his first term, he pushed to “greatly strengthen and expand” U.S. nuclear capability. NBC News reported that he once sought to increase the country’s arsenal “tenfold.” His renewed directive now raises questions about whether the U.S. will break its long-standing moratorium on full nuclear testing.

Political backlash and historical context

The U.S. last conducted a full-scale nuclear test, codenamed Divider, on September 23, 1992, at the Nevada National Security Site. Then-President George H.W. Bush subsequently declared a moratorium on underground nuclear testing.

Since then, the U.S. has relied on computer simulations, missile tests, and subcritical experiments to maintain its deterrent capabilities.

Nevada Congresswoman Dina Titus condemned the order, posting on X, “Absolutely not. I’ll be introducing legislation to put a stop to this.”

Despite repeated calls from Washington and Moscow to reduce nuclear arms, progress remains minimal. The Kremlin has previously criticized the U.S. president’s push for a missile defense system called the “Golden Dome,” which he claimed would make the U.S. impervious to attack.

Trump’s latest instruction to the Pentagon signals a sharp shift from decades of restraint. If implemented, it would mark the first resumption of U.S. nuclear testing in over 30 years and could ignite a new era of global nuclear competition.

🔗 Sumber: interestingengineering.com

📌 MAROKO133 Breaking ai: Geostar pioneers GEO as traditional SEO faces 25% decline

The moment Mack McConnell knew everything about search had changed came last summer at the Paris Olympics. His parents, independently and without prompting, had both turned to ChatGPT to plan their day's activities in the French capital. The AI recommended specific tour companies, restaurants, and attractions — businesses that had won a new kind of visibility lottery.

"It was almost like this intuitive interface that older people were as comfortable with using as younger people," McConnell recalled in an exclusive interview with VentureBeat. "I could just see the businesses were now being recommended."

That observation has now become the foundation of Geostar, a Pear VC-backed startup that's racing to help businesses navigate what may be the most significant shift in online discovery since Google's founding. 

The company, which recently emerged from stealth with impressive early customer traction, is betting that the rise of AI-powered search represents a significant opportunity to reinvent how companies get found online. The global AI search engine market alone is projected to grow from $43.63 billion in 2025 to $108.88 billion by 2032.

Already the fastest-growing company in PearX's latest cohort, Geostar is fast approaching $1 million in annual recurring revenue in just four months — with only two founders and no employees.

Why Gartner predicts traditional search volume will decline 25% by 2026

The numbers tell a stark story of disruption. Gartner predicts that traditional search engine volume will decline by 25% by 2026, largely due to the rise of AI chatbots. Google's AI Overviews now appear on billions of searches monthly. Princeton University researchers have found that optimizing for these new AI systems can increase visibility by up to 40%.

"Search used to mean that you had to make Google happy," McConnell explained. "But now you have to optimize for four different Google interfaces — traditional search, AI Mode, Gemini, and AI Overviews — each with different criteria. And then ChatGPT, Claude, and Perplexity each work differently on top of that."

This fragmentation is creating chaos for businesses that have spent decades perfecting their Google search strategies. A recent Forrester study found that 95% of B2B buyers plan to use generative AI in future purchase decisions. Yet most companies remain woefully unprepared for this shift.

"Anybody who's not on this right now is losing out," said Cihan Tas, Geostar's co-founder and chief technology officer. "We see lawyers getting 50% of their clients through ChatGPT now. It's just such a massive shift."

How language models read the web differently than search engines ever did

What Geostar and a growing cohort of competitors call Generative Engine Optimization or GEO represents a fundamental departure from traditional search engine optimization. Where SEO focused primarily on keywords and backlinks, GEO requires understanding how large language models parse, understand, and synthesize information across the entire web.

The technical challenges are formidable. Every website must now function as what Tas calls "its own little database" capable of being understood by dozens of different AI crawlers, each with unique requirements and preferences. Google's systems pull from their existing search index. ChatGPT relies heavily on structured data and specific content formats. Perplexity shows a marked preference for Wikipedia and authoritative sources.

"Now the strategy is actually being concise, clear, and answering the question, because that's directly what the AI is looking for," Tas explained. "You're actually tuning for somewhat of an intelligent model that makes decisions similarly to how we make decisions."

Consider schema markup, the structured data that helps machines understand web content. While only 30% of websites currently implement comprehensive schema, research shows that pages with proper markup are 36% more likely to appear in AI-generated summaries. Yet most businesses don't even know what schema markup is, let alone how to implement it effectively.

Inside Geostar's AI agents that optimize websites continuously without human intervention

Geostar's solution embodies a broader trend in enterprise software: the rise of autonomous AI agents that can take action on behalf of businesses. The company embeds what it calls "ambient agents" directly into client websites, continuously optimizing content, technical configurations, and even creating new pages based on patterns learned across its entire customer base.

"Once we learn something about the way content performs, or the way a technical optimization performs, we can then syndicate that same change across the remaining users so everyone in the network benefits," McConnell said.

For RedSift, a cybersecurity company, this approach yielded a 27% increase in AI mentions within three months. In one case, Geostar identified an opportunity to rank for "best DMARC vendors," a high-value search term in the email security space. The company's agents created and optimized content that achieved first-page rankings on both Google and ChatGPT within four days.

"We're doing the work of an agency that charges $10,000 a month," McConnell said, noting that Geostar's pricing ranges from $1,000 to $3,000 monthly. "AI creates a situation where, for the first time ever, you can take action like an agency, but you can scale like software."

Why brand mentions without links now matter more than ever in the AI era

The implications of this shift extend far beyond technical optimizations. In the SEO era, a mention without a link was essentially worthless. In the age of AI, that calculus has reversed. AI systems can analyze vast amounts of text to understand sentiment and context, meaning that brand mentions on Reddit, in news articles, or across social media now directly influence how AI systems describe and recommend companies.

"If the New York Times mentions a company without linking to it, that company would actually benefit from that in an AI system," McConnell explained. "AI has the ability to do mass analysis of huge amounts of text, and it will understand the sentiment around that mention."

This has created new vulnerabilities. Research from the Indian Institute of Technology and Princeton found that AI systems show systematic bias toward third-party sources over brand-owned content. A company's own website might be less influential in shaping AI perceptions than what others say about it online.

The shifting landscape has also disrupted traditional metrics of success. Where SEO focused on rankings and click-through rates, GEO must account for what researchers call impression metrics — h…

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🔗 Sumber: venturebeat.com