Eric Trump Urges Asia to Lead Crypto Adoption, Says Korea ‘Doing it the Best’

ccn.comPublicado a 2025-09-09Actualizado a 2025-09-09

Key Takeaways

Eric Trump has praised South Korea’s leadership in crypto adoption, urging other Asian economies to follow or risk falling behind.
The Trump family has earned more than $1 billion in less than a year from two ventures.
While WLFI’s token price surged after launch, trading volumes have fallen sharply from $5 billion to $1.5 billion daily.

Eric Trump has called on Asian economies to accelerate their adoption of crypto, highlighting South Korea as the region’s leading player.

His remarks come as the Trump family continues to expand its crypto ambitions through the World Liberty Financial (WLFI) venture and a bitcoin mining initiative, while President Trump pursues a crypto-friendly regulatory environment from the White House.

Earn Crypto with These Top Mining Apps

ECOS

promotions

Get 234TH/s for 24 hours of free BTC mining

Coins

Claim Offer

Mining Rig Rentals

promotions

Earn a commission on your referral’s transactions.

Coins

Claim Offer

Hashing24

promotions

Earn 3-10% on referral purchases

Coins

Claim Offer

Eric Trump Praises South Korea

Appearing virtually at the Upbit D Conference in Seoul on Tuesday, September 9, Trump said Asia is positioned for the next phase of crypto adoption.

“Korea is doing it the best out of any country in Asia,” he told the audience, adding that those who fail to follow South Korea risk falling behind.

The executive vice president of the Trump Organization also hinted at a return to South Korea with the company.

“We will be there both in terms of the digital asset space and in terms of hard real estate,” he said.

Trump’s Crypto Riches

Across both private enterprise and public policy, the Trump family is doubling down on digital assets.

Since President Trump began his second term, the family has generated more than $1 billion in revenue from two crypto ventures in less than twelve months.

WLFI, a DeFi initiative founded in 2024, made its public trading debut last week, triggering a surge in the Trump family’s crypto holdings.

Meanwhile, Eric Trump’s stake in American Bitcoin, a mining company the family launched in March, was valued at more than $500 million after its stock dramatically increased following its September 3 trading debut.

WLFI Surges

Despite controversy, WLFI rose 30% from its record low over the weekend.

At one point, the WLFI token climbed to $0.24, before retreating to $0.22 at the time of writing.

The WLFI token is facing challenges as momentum cools, according to CCN analyst Victor Olanrewaju.

One of the key concerns is declining trading activity.

“Such a decline suggests that buying frenzy is cooling off as speculative traders take profits and activity begins to normalize,” Olanrewaju wrote on Monday, September 8.

At the peak of the WLFI token launch, daily trading volume exceeded $5 billion. That figure has since dropped to around $1.5 billion, raising questions about the sustainability of its early surge.

“Past hype-driven launches, such as memecoins and narrative tokens tied to major events, have shown a similar pattern: explosive volume at launch, followed by pullbacks, then a make-or-break test at resistance,” Olanrewaju wrote.

“For WLFI, whether history repeats will depend on how much conviction buyers show as initial hype fades,” he added.

Lecturas Relacionadas

Ethereum down 45% YTD – So why do SharpLink and whales keep buying?

Despite Ethereum (ETH) being down 20-45% year-to-date amid broader crypto weakness, institutional and whale buying activity suggests growing long-term conviction. SharpLink, after an eight-month pause, purchased 5,000 ETH and later added $45.54 million in LSETH, increasing its total holdings significantly despite substantial unrealized losses. Similarly, a new whale wallet accumulated over 18,000 ETH worth $28.9 million in nine days, indicating strategic positioning for future price movements rather than short-term trading. However, this accumulation contrasts with spot Ethereum ETFs, which saw net outflows of $12.85 million recently, highlighting a divergence between direct treasury/whale buyers and ETF investors. While the persistent buying from these large holders may gradually ease selling pressure, a sustained recovery for Ethereum still depends on a reversal in ETF flows and a broader improvement in network demand and market sentiment.

ambcryptoHace 4 min(s)

Ethereum down 45% YTD – So why do SharpLink and whales keep buying?

ambcryptoHace 4 min(s)

Just now, DeepSeek V4 updates with DSpark, improving inference speed by 80%

DeepSeek has updated its DeepSeek V4 model with the DSpark speculative decoding framework, achieving a significant 60-85% speedup in generation for Flash models and 57-78% for Pro models while maintaining the same overall throughput. This engineering-focused update, rather than a core architectural change, introduces DSpark to address latency and throughput bottlenecks in high-concurrency production environments. DSpark combines high-throughput parallel generation with adaptive load-aware verification. Its key innovations include a semi-autoregressive generation architecture to model dependencies within token blocks and a hardware-aware confidence-scheduled verification system. This system uses a confidence head to predict token acceptance probabilities, allowing it to dynamically optimize verification length per request and allocate compute only to tokens with the highest expected payoff. The asynchronous scheduler is designed for real-world deployment, ensuring zero-overhead scheduling and continuous CUDA graph replay while preserving the target model's output distribution. In tests across mathematical reasoning, code generation, and daily dialogue, DSpark outperformed state-of-the-art models like Eagle3 and DFlash, increasing average acceptance length by 26.7%-30.9% and 16.3%-18.4% respectively on Qwen3 target models. DeepSeek also open-sourced DeepSpec, a full-stack codebase for training and evaluating speculative decoding draft models, providing a standardized toolkit that includes data preparation tools, model implementations, training code, and evaluation scripts.

marsbitHace 1 hora(s)

Just now, DeepSeek V4 updates with DSpark, improving inference speed by 80%

marsbitHace 1 hora(s)

Can Aavenomics 3.0 sustain AAVE’s recovery rally amid Kraken buyout talks?

Aave Labs CEO Stani Kulechov has dismissed reports of a potential stake sale to Kraken, clarifying that Aave would not sell at a significant discount. He highlighted Aave's substantial annualized revenue and its focus on a broad financial market. Kulechov also announced plans for Aavenomics 3.0, featuring a new automated buyback mechanism. Following these updates, the AAVE token price surged 12%, extending its June recovery rally to over 50% from its recent lows. The rally is partly attributed to reduced selling pressure and positive sentiment from the announced tokenomics plan, despite the token remaining significantly below its all-time high.

ambcryptoHace 2 hora(s)

Can Aavenomics 3.0 sustain AAVE’s recovery rally amid Kraken buyout talks?

ambcryptoHace 2 hora(s)

BIT Research: The 2028 Halving Is Not the End, the Real Shake-Up of the Bitcoin Mining Industry Is Just Beginning

The Bitcoin mining industry is undergoing its most complex structural adjustment since inception. Despite Bitcoin's price holding near $61,000 and the network hash rate approaching a record 1 ZH/s, miner profitability is deteriorating. The industry is operating close to its breakeven point, with the 2028 halving expected to accelerate consolidation. The challenges extend beyond the halving's subsidy reduction; the industry's revenue model has yet to successfully transition towards a fee-driven structure. Increasingly, mining companies are evolving from simple Bitcoin producers into infrastructure and energy operators, including providers of AI/HPC computing power. Competition is shifting from pure hash rate expansion to business model upgrades. Economic pressure is evident. The theoretical daily mining revenue at current prices is around $78 million, yet the actual figure is only about $33 million—a 136% gap. Transaction fees remain low at roughly $220k daily, far below historical implied levels. With a current estimated industry-wide breakeven price near $65,000, mining alone is struggling to generate ideal profits. The 2028 halving is projected to push the fundamental production cost floor to approximately $93,289. This will likely accelerate a shift towards consolidation among larger, well-capitalized miners with diversified revenue streams. Competitive advantage will belong to institutionalized players with access to low-cost energy, AI/HPC hosting operations, and stronger balance sheets. In essence, Bitcoin mining is transitioning from a "mining business" to an "infrastructure business." Future profitability and resilience will depend less on block rewards and more on diversified income sources like energy management and computational infrastructure services. For investors, the key question is not the halving itself, but which miners can successfully navigate this business model transformation.

marsbitHace 2 hora(s)

BIT Research: The 2028 Halving Is Not the End, the Real Shake-Up of the Bitcoin Mining Industry Is Just Beginning

marsbitHace 2 hora(s)

This is How God Karpathy Uses Claude?

Andrej Karpathy, a prominent figure in AI, has reportedly joined Anthropic, leading to a noticeable decrease in his open-source contributions and social media activity. A document claiming to be his personal "CLAUDE.md" file—a set of instructions for the Claude AI to follow within a specific codebase—has been circulating online. While its authenticity is unverified, the content aligns closely with Karpathy's publicly shared principles on effective AI-assisted programming. The document outlines key rules for AI coding assistants, emphasizing the importance of reading existing code thoroughly before writing new code to maintain consistency. It advises against over-engineering, advocating for simple, surgical modifications that match the project's existing style. Other guidelines include clarifying assumptions upfront, writing meaningful tests, thoughtful debugging, and carefully considering dependencies. The core message is that these principles help prevent common AI coding failures, such as introducing unnecessary abstractions, style drift, or making invisible architectural decisions. The community has noted that even experts like Karpathy require detailed instructions to guide AI effectively, akin to managing a junior developer. A related GitHub repository, "andrej-karpathy-skills," which encapsulates these ideas, is reported to significantly reduce Claude's code error rate. Ultimately, the advice stresses that the best CLAUDE.md is tailored to one's own tech stack and coding practices.

marsbitHace 2 hora(s)

marsbitHace 2 hora(s)

Trading

Spot