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By 2026, Vanar is no longer just a gaming focused blockchain project. It has grown into a broader infrastructure layer designed for the fast convergence of AI, advanced gaming, and immersive metaverse environments. What makes Vanar interesting is not hype or branding but the way it has evolved its core technology to match where Web3 is actually heading.
One of the biggest shifts inside the ecosystem is the development of its multi layer intelligence framework, often referred to as Cortex. Instead of treating AI as an external add on, Vanar integrates real time AI reasoning directly into its on chain architecture. Through its Neutron and Kayon layers, the network supports complex computations and AI driven processes without moving everything off chain. This opens the door for smarter in game mechanics, adaptive virtual environments, AI powered analytics, and enterprise level data modeling, all secured by blockchain transparency.
For the $VANRY token, this changes the equation. It is no longer limited to transaction fees or simple utility. AI subscriptions, compute access, and resource usage within the network are payable in $VANRY, turning it into the fuel of an expanding AI economy. As more developers experiment with decentralized AI applications, token demand becomes tied to actual usage rather than speculation alone.
At the same time, Vanar has not stepped away from its gaming roots. Instead, it has strengthened them. Collaborations with major infrastructure and gaming players have helped position the network as a bridge between traditional entertainment audiences and Web3 technology. Rather than forcing users into complex crypto native experiences, Vanar focuses on making blockchain invisible, letting players enjoy high quality games and metaverse worlds while ownership and transactions happen seamlessly in the background.
The release of its metaverse development tools has also lowered the barrier for creators. Builders can design interoperable digital assets and shared virtual spaces that operate across different experiences within the Vanar ecosystem. In these environments, functions as the medium for asset ownership, marketplace activity, premium access, and ecosystem fees, reinforcing its role as a foundational currency.
Governance has also matured. Token holders are given a more direct voice in shaping network parameters, including resource allocation and ecosystem development decisions. This shift toward structured, community driven governance helps ensure that growth aligns with user interests rather than centralized control.
Sustainability is another important piece of the narrative. With low transaction costs and a focus on environmentally conscious infrastructure, the network aims to remove two of blockchain’s biggest criticisms, scalability costs and environmental impact. Ultra low fees make it accessible globally, while energy efficient operations support long term adoption, especially among enterprise partners.
From a market perspective, the broader story is about convergence. AI, gaming, and the metaverse are no longer separate sectors. They are blending into one digital economy. Vanar is positioning itself at that intersection. If its AI subscription rollout and ecosystem expansion continue as planned, demand for could increasingly reflect real network usage rather than just market cycles.
Vanar’s journey shows how a project can evolve beyond its initial narrative. What started as a gaming chain is now aiming to power intelligent digital environments at scale. Whether it fully captures that opportunity will depend on execution, adoption, and sustained development, but its direction reflects where the Web3 economy appears to be heading.
@Vanarchain #vanar $VANRY

$FOGO is starting to attract attention after a sharp spike in trading volume, but the bigger story is what the project is actually building. @Fogo Official is a high-performance Layer 1 designed specifically for ultra-low latency DeFi and trading applications. With a target of around 40-millisecond block times, the network aims to support real-time order books, auctions, and advanced liquidation engines that traditional chains struggle to handle.
What makes Fogo interesting is its Solana Virtual Machine compatibility, which allows developers to port existing Solana apps with minimal friction. Instead of reinventing the stack, it focuses on performance improvements using a high-speed validator client and geographically optimized consensus.
Another key point is that the mainnet launched with live applications from day one, including DEXs, lending protocols, and liquid staking. That kind of immediate ecosystem activity is rare for new Layer 1 launches.
In the short term, price action is being driven by volume, not fundamentals. But if the network continues to attract developers and trading activity, $FOGO could build a stronger narrative around high-speed on-chain finance. #fogo $FOGO @fogo

It’s been just over a year since Chinese startup DeepSeek shook the world’s tech titans with the launch of R1, its low-cost artificial intelligence model positioned as a challenger to OpenAI’s ChatGPT. Quant trader Liang Wenfeng, founder of the privately held DeepSeek, has since broken into the billionaire ranks and now has an estimated fortune of $11.5 billion, based largely on his stake in the company.

As China accelerates its AI push with tax breaks and state funding, investors are scrambling to pile in, creating vast fortunes. Since December, AI-linked IPOs have minted seven new Chinese billionaires. These listings in Hong Kong and Shanghai have collectively raised $2.9 billion amid Beijing’s efforts to nurture homegrown rivals to Nvidia and OpenAI.

Recent members of the three-comma club include the founders of AI chipmakers such as Nvidia challengers MetaX Integrated Circuits and Moore Threads Technology, as well as OpenAI wannabes MiniMax Group and Knowledge Atlas Technology, better known as Zhipu. None of them are profitable as of yet, and despite racking up losses their shares have rocketed between 95% and over 400% since their stock market debuts.
Growth Gamble
Chinese AI companies remain deeply in the red but investors are unfazed.
“Investors are more focused on potential,” says Charlie Chai, a Shanghai-based analyst at research firm 86Research. For now, he adds, they are placing bets across the board as it’s too early to predict who the biggest winners will be.

China’s AI market, including generative AI services and related components and infrastructure, could scale up to $1.4 trillion in sales by 2030, according to Morgan Stanley. That’s an eye-popping jump of over 400 times from 2024, when the total size of the country’s AI industry was $3.2 billion.Investors are also bullish about the potential of Chinese AI startups to grab a share of the global market, according to Xin-Yao Ng, Singapore-based investment director at Aberdeen Group. As Microsoft president Brad Smith recently noted, Chinese AI firms are winning users in emerging markets with their low-cost products.

Investors are also bullish about the potential of Chinese AI startups to grab a share of the global market, according to Xin-Yao Ng, Singapore-based investment director at Aberdeen Group. As Microsoft president Brad Smith recently noted, Chinese AI firms are winning users in emerging markets with their low-cost products.

But some analysts say these loss-making startups are trading at unsustainable valuations. “There’s a premium given the sheer demand from investors looking to get into this space,” says Alex Platt, Portland-based senior research analyst at financial services firm D.A. Davidson. “Investors will become more picky as more options become available,” he says.

Meantime, the IPO rush shows no signs of abating. Beijing-based search engine giant Baidu announced in January a proposed spinoff and then listing in Hong Kong of its chip unit Kunlunxin. Chinese chip designer Axera Semiconductor is seeking to raise HK$3 billion ($379 million) in an upcoming IPO.

Emerging Elite
The newest members of China’s AI billionaires club range in age from 36 to 60 and have, in a relatively short time, helped build the country’s AI prowess
Yan Junjie, 36
$4.5 billion • MiniMax Group
Yan, chairman and CEO of Shanghai-based AI-model firm MiniMax Group, which raised $618 million in its January listing in Hong Kong, is the youngest and wealthiest among China’s new billionaires. MiniMax counts Chinese gaming giant miHoYo as an investor and also as a customer, according to the state-run Securities Times.

Chen Weiliang, 49
$4.4 billion • MetaX Integrated Circuits
The chairman and CEO of MetaX took it public in Shanghai in late December, raising close to $600 million. He worked as a senior executive for American chipmaker Advanced Micro Devices in China for 13 years before founding his AI chip firm in 2020.

Zhang Jianzhong, 60
$4.3 billion • Moore Threads Technology
The chairman and CEO of AI chip maker Moore Threads Technology, dubbed the Nvidia of China, was head of the American giant’s China unit before cofounding his Beijing-based firm in 2020. Three years later, it was included in a U.S. trade blacklist of firms that were denied access to advanced American chipmaking technology amid rising U.S.-China tech rivalry. “Nothing will impact our determination to develop the best all-purpose chips in China,” he vowed at the time. Weeks after its $1.1 billion IPO in Shanghai in December, Moore Threads launched a new generation of chips that Zhang said he hopes “can meet the needs of more developers in China so that you no longer need to wait for advanced foreign products.”

Liu-Debing_Lam-Yik-Bloomberg
Liu Debing, chairman and CEO of Knowledge Atlas Technology Lam Yik/Bloomberg
Liu Debing, 50
$3.6 billion • Knowledge Atlas Technology
Liu is chairman and CEO of AI-model developer Knowledge Atlas Technology, better known as Zhipu. Following its $560 million IPO in Hong Kong in January, Zhipu released an image-generation model fully trained on local chips, demonstrating China’s progress in reducing reliance on U.S. technology. The firm was included last year in a U.S. government trade blacklist, barring it from acquiring advanced American technology.

Ge Weidong, 57
$2.9 billion • MetaX Integrated Circuits
An early investor in MetaX, Ge made the billionaire ranks after its IPO. He ’s chairman and CEO of Shanghai-based Chaos Investment, which trades in stocks and commodity futures, apart from investing in Chinese startups.

Zhang Yubo
$1.7 billion • Moore Threads Technology
Zhang cofounded Moore Threads with Zhang Jianzhong (no relation). The chief technology officer of the semiconductor maker previously worked in California as a GPU architect at Nvidia and at self-driving firm Pony AI, according to his LinkedIn.

Wang Dong
$1.4 billion • Moore Threads Technology
Moore Threads cofounder Wang was a sales director at Nvidia for over a decade before starting his own chipmaker where he’s now vice president.

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$BNB
$BTC @BNB_Chain

Topline
Goldman Sachs Chief Legal Officer and General Counsel, Kathryn Ruemmler, announced her resignation Thursday night, days after her close ties with Jeffrey Epstein were revealed in the Justice Department’s latest tranche of documents connected to the convicted sex offender—marking the latest high-profile fallout linked to the Epstein files.

Key Facts
Ruemmler told the Financial Times that she will step down as Goldman’s top lawyer on June 30, and said, “I made the determination that the media attention on me, relating to my prior work as a defense attorney, was becoming a distraction.”

Ruemmler, who served as the White House Counsel during the Obama administration, told Axios that it was her “responsibility…to put Goldman Sachs' interests first” and had informed the investment giant’s CEO, David Solomon, about her resignation.

In a statement shared with several outlets, Solomon said he has accepted her resignation and respected her decision, calling her “one of the most accomplished professionals in her field.”

The resignation comes days after Ruemmler tried to distance herself from the convicted sex offender, telling Reuters that she was a defense attorney when she dealt with Epstein and only got to “know him as a lawyer,” even though the emails she purportedly sent him appear to show a close relationship.

Ruemmler also claimed she “had no knowledge of any ongoing criminal conduct on his part, and I did not know him as the monster he has been revealed to be.”

What Do We Know About Ruemler’s Ties With Epstein?
The DOJ released a recent tranche of files last month that showed multiple purported email conversations between Ruemmler and Epstein spanning several years. Many of the emails, sent by a “Kathy Ruemmler,” refer to the convicted sex offender as “uncle Jeffrey.” In a 2016 email, Ruemmler discusses hunting for a new apartment and getting a haircut “because uncle Jeffrey told me that I need to stop being passive.” In an October 2018 email purportedly sent by her, Ruemmler thanks Epstein for a “lovely and thoughtful” gift, and a January 2019 email to him says: “Am totally tricked out by Uncle Jeffrey today! Jeffrey boots, handbag, and w=tch!”

plasma $XPL
We used to think that the main function of blockchain was to move money from one place to another. But @Plasma $XPL shows that the real power is not just moving money—it’s moving the information associated with that money accurately, quickly, and securely.
Think about how much information is involved in a payment—who sent it, why, for what service, invoice numbers, compliance data, and even receipt or contract information. In traditional systems, this information is kept in separate places, which causes delays, errors, and complications. This is where Plasma makes the difference. It’s not just about transferring funds—it moves data and context together.
This is the future of finance. Because the economy of the future will be data-driven. Just getting the money to arrive is not enough; you need the intelligence associated with that payment. For businesses, this means faster reconciliation, automated reporting, and lower-cost compliance. For freelancers or small businesses, it means—transparent transactions, easy accounting, and global work opportunities.
#Plasma $XPL is built with this vision—a high-performance Layer-1 built around stablecoin payments. Zero-fee USDT transfers, fast finality, and scalability not only speed up payments, but also make the entire payment experience smarter. When payment data is reliably on-chain, automation, AI integration, and global settlement become much easier. The best part is—this change is slowly seeping into our daily lives. Gig economy, e-commerce, international remittances—everywhere is seeing a growing need for smart payment infrastructure. Plasma could be the answer to that need.
Essentially, Plasma XPL is not just a token or a project; it is an infrastructure that can provide a solid foundation for the digital economy of the future. Many people can move money, but the real superpower is moving intelligent payments along with data. And that’s where Plasma XPL is carving out its own niche.@Plasma #Plasma