Industry News

Tracks company news, strategic changes, funding activities, and personnel adjustments across the blockchain and crypto industries, delivering a full-spectrum industry overview for our users.

ETFs Attract $100 Million, DAT Included in Russell 3000: Hyperliquid's "Wall Street Moment"

ICE CEO Jeff Sprecher publicly praised Hyperliquid, calling it "larger than Nasdaq" and expressing admiration for its team. This praise comes just 12 days after ICE and CME reportedly lobbied the CFTC to scrutinize the platform. Sprecher clarified the lobbying was aimed at securing a level regulatory playing field for traditional exchanges, not shutting Hyperliquid down. He highlighted Hyperliquid's role as a potential "shadow pricing" venue for SpaceX's upcoming IPO, noting its pre-IPO derivatives trading. Meanwhile, Hyperliquid is experiencing significant mainstream adoption. Two U.S. spot HYPE ETFs launched in mid-May have attracted over $1 billion in inflows within 10 days. Furthermore, Hyperliquid Strategies (PURR), a major HYPE holder, is set to join the Russell 3000 index in June. Facing regulatory pressure, Hyperliquid founder Jeff Yan and the platform's policy arm are engaging directly with policymakers in Washington to advocate for a clear regulatory path for on-chain derivatives. HYPE token recently hit a new all-time high above $64.

marsbit05/29 02:15

ETFs Attract $100 Million, DAT Included in Russell 3000: Hyperliquid's "Wall Street Moment"

marsbit05/29 02:15

Li Kaifu and Wang Xiaochuan Pivot: The First Half of the Large Model Entrepreneurship Era Ends

Li Kaifu and Wang Xiaochuan, leading figures in China's AI industry, are signaling a strategic shift, marking the end of the first phase of the large language model (LLM) startup boom. Li's 01.AI, once seen as a potential "Chinese OpenAI," is now pivoting towards enterprise applications and Agent technology, explicitly modeling itself after the低调但 profitable Palantir with a goal of profitability by 2026. Wang's Baichuan Intelligence is fully转战ing the vertical field of healthcare, launching a medical LLM and AI doctor product. This reflects a broader industry清醒. The initial狂热 of 2023, with its focus on chasing参数, benchmarks, and the "Chinese OpenAI" narrative, has collided with the harsh reality of an AI "heavy industry" war dominated by immense capital expenditure from US tech giants (微软, Google, etc.) and Chinese互联网大厂. The cost of competing in foundational模型 has become prohibitively high for most startups. The paths of the original "Six Tigers" have diverged: some like智谱 and MiniMax achieved high valuations via IPOs, effectively closing the capital window for new通用模型 players. Others, like 01.AI and Baichuan, are retreating from the通用模型 race to focus on商业化 and垂直场景. The deeper change is China's AI sector accepting that its comparative advantage may not lie in foundational model突破 but in applications, engineering, commercialization speed, and integrating AI into real-world industrial and user scenarios—turning AI into a viable industry. Li and Wang, veterans from the互联网 era, represent a generation that entered with理想主义 but is now pragmatically adjusting to reality. Their strategic转身 signifies a交棒 from the狂热造神 phase to a more mature stage focused on sustainable business,合同, and现金流. This isn't a story of failure, but a体面告别 to unrealistic expectations, with the long-term battle ahead passed to a new generation of AI-native builders.

marsbit05/29 01:30

Li Kaifu and Wang Xiaochuan Pivot: The First Half of the Large Model Entrepreneurship Era Ends

marsbit05/29 01:30

Samsung Securities Bets on Upbit: South Korean Financial Capital Fully Embraces Crypto

On May 28th, Samsung Securities announced its investment of approximately 306.3 billion KRW (about $203 million) to acquire a 2% stake in Dunamu, the operator of Upbit, South Korea's largest cryptocurrency exchange. This move signifies a strategic shift as South Korea's traditional financial capital begins to formally embrace the crypto industry, potentially heralding a deeper integration between the two sectors. South Korea has long been a vibrant crypto market, with Upbit dominating local trading volumes. However, a regulatory policy known as "separation of finance and virtual assets" had previously limited traditional financial institutions' direct involvement. Recent signals from regulators about potentially relaxing these rules have opened the door for deeper engagement. Samsung Securities' investment is seen as a strategic move to secure a foothold in the next generation of digital finance ahead of this expected liberalization. The investment reflects a broader anxiety among traditional Korean financial institutions about evolving financial landscapes. As financial activities increasingly migrate on-chain and younger users gravitate towards crypto and digital assets, platforms like Upbit are evolving from simple trading venues into core nodes for future financial networks—encompassing roles like new-age brokerages, asset issuance platforms, and payment gateways. By investing in Dunamu, Samsung Securities is not only gaining exposure to a profitable entity but also securing access to Upbit's vast user base, liquidity, and its position as a key entry point into Korea's Web3 ecosystem. This trend mirrors developments in the United States, where traditional finance has increasingly adopted crypto through instruments like Bitcoin ETFs and digital asset custody services. Analysts predict that South Korea may follow a similar path: witnessing broader traditional finance entry into virtual assets, further "financialization" of crypto exchanges, and potentially emerging as a significant on-chain financial hub in Asia, leveraging its strong retail investor base and active trading culture. In essence, Samsung Securities' stake in Upbit is less a simple financial investment and more a strategic acquisition of a seat at the table in South Korea's evolving digital financial order. It underscores a growing consensus that the future of finance may not be a battle between traditional systems and crypto, but rather the comprehensive on-chain integration of traditional finance.

marsbit05/29 01:29

Samsung Securities Bets on Upbit: South Korean Financial Capital Fully Embraces Crypto

marsbit05/29 01:29

Claude Opus 4.8 Just Launched, Immediately Claimed to Be DeepSeek and Qwen

Anthropic has launched Claude Opus 4.8, an upgraded flagship AI model, while announcing a massive $65 billion Series H funding round, valuing the company at $965 billion. Claude Opus 4.8 offers improvements in coding, reasoning, agent tasks, and knowledge work, while maintaining previous pricing. Key enhancements include greater reliability in multi-step tasks and a significant increase in honesty—it's more likely to flag uncertainties or potential code issues. However, some user tests noted instances where the model incorrectly identified itself as other AIs like DeepSeek or Qwen, suggesting possible distillation behavior. Alongside the model, Anthropic introduced new features, most notably 'dynamic workflows' in Claude Code. This research preview allows the system to coordinate dozens to hundreds of parallel sub-agents for large-scale tasks like major code migrations, framework replacements, and security audits. The $65 billion funding round, which includes strategic investments from hyperscalers like Amazon and key hardware partners, is intended to secure massive compute capacity. This positions Anthropic to shift from a model provider to a company building a comprehensive enterprise AI infrastructure system, integrating intelligence, development tools, cloud platforms, and compute resources.

marsbit05/28 23:56

Claude Opus 4.8 Just Launched, Immediately Claimed to Be DeepSeek and Qwen

marsbit05/28 23:56

Circle’s Stablecoin Infrastructure Just Got A Major European Upgrade — And It’s Already Processing Trillions

Orbital, a global payment orchestration platform, has partnered with Banking Circle, a fully MiCA-compliant bank, as its primary European banking partner to expand stablecoin settlement and multi-currency payment capabilities. This integration connects Orbital's platform directly to Banking Circle's infrastructure, which processes over €1.5 trillion annually. The partnership provides Orbital's clients with instant, 24/7 two-way conversion between fiat currencies and stablecoins like USDC, USDG, and EURI. It also consolidates access to SEPA, named IBANs, and compliance checks into a single layer. Banking Circle's unique simultaneous holding of banking, electronic money token, and Crypto-Asset Service Provider licenses in Luxembourg positions it as a comprehensively regulated EU digital asset settlement bank. This collaboration arrives as Europe's MiCA regulation is enforced, offering institutional clients a unified regulatory framework for both stablecoin and traditional payment operations.

bitcoinist05/28 19:01

Circle’s Stablecoin Infrastructure Just Got A Major European Upgrade — And It’s Already Processing Trillions

bitcoinist05/28 19:01

The Truth About Global Payments, Revealed by Airwallex

The article discusses Airwallex's approach to global payments, highlighting the key challenges and different strategic paths in the industry. It begins by addressing common user questions about platform reliability, cryptocurrency payments, and the necessity of Airwallex's "heavy" infrastructure model. The core argument is that while many payment platforms appear similar on the surface—offering features like global acquiring and multi-currency accounts—their underlying capabilities differ drastically. The piece identifies three primary paths for global payment providers: 1. **Bypassing Traditional Infrastructure (Web3/Crypto):** This path promises efficiency through stablecoins and on-chain settlements but faces significant regulatory hurdles and offers little advantage over established players for mainstream use, often serving only niche or non-compliant markets. 2. **Aggregating/Packaging Existing Infrastructure:** The most common route, where companies layer a better user experience over legacy banking and partner networks. While fast to market, this approach does not solve fundamental issues like dependency on intermediaries, correspondent banking risks, and compliance fragility. 3. **Building Proprietary Global Infrastructure:** The path chosen by Airwallex and similar firms. This involves obtaining local licenses, building direct regulatory relationships, establishing local teams, and controlling the compliance and technology stack. This is the most difficult and capital-intensive route but aims to internalize complexity. Airwallex's strategy of "heavy" investment in its own infrastructure is framed not as inefficiency, but as a long-term bet to provide clients with greater stability, cost savings beyond fees, and certainty. The platform's "heaviness" absorbs risk and operational complexity, aiming to deliver a "lighter" experience for business customers. The article concludes that in global payments, while shortcuts enable faster growth, mastering the most difficult aspects—the underlying infrastructure—is what creates durable value for clients and sustainable competitive advantage.

链捕手05/28 16:02

The Truth About Global Payments, Revealed by Airwallex

链捕手05/28 16:02

Google Engineer Arrested For Using Company’s Own Search Data To Win $1.2 Million On Polymarket

A Google information security engineer, Michele Spagnuolo, has been arrested and charged with commodities fraud, wire fraud, and money laundering. Prosecutors allege he used confidential internal Google search data to place bets on the crypto-based prediction market Polymarket, winning approximately $1.2 million by knowing outcomes before the public. Using an internal tool showing real-time search trends, he reportedly placed successful wagers on contracts tied to Google's "Year in Search" rankings for 2025. This is the second federal criminal case involving Polymarket insider trading in just over a month, following an April arrest of a U.S. Army sergeant accused of using classified military information. The cases highlight increasing legal scrutiny of prediction markets, with blockchain transparency aiding prosecutors. Google placed Spagnuolo on leave and is cooperating with authorities.

bitcoinist05/28 14:31

Google Engineer Arrested For Using Company’s Own Search Data To Win $1.2 Million On Polymarket

bitcoinist05/28 14:31

Token Budget Wars: Enterprise AI Enters the 'Accounting Era'

Token Budget Wars: Enterprise AI Enters the "Accounting Era" Enterprise AI is shifting from the question of "whether to adopt" to "how to account for it." As AI inference costs evolve from experimental budgets into ongoing operational expenses, CEOs and CFOs are demanding proof of value: what tangible results does each dollar spent on tokens deliver? The core of "Token Budget Wars" is not simply about reducing AI bills, but about intelligently allocating compute resources. It involves determining which business processes warrant more computational power, which tasks can use cheaper models, which can be outsourced or handled manually, and which are merely inefficient consumption. A key insight is that AI usage (token consumption) does not equal value. While SaaS usage indicated software adoption, AI token usage only indicates the "meter is running." The same workflow can cost vastly different amounts due to factors like prompt quality, context, model choice, and retries. The critical metric for scaling is "marginal token utility"—the business value created per additional dollar of inference cost. However, this is difficult to measure due to challenges like the long tail of retries, context inflation (where costs can scale quadratically with context length), and inefficient model routing (defaulting to the most powerful model for all tasks). The competition for token allocation is intensifying because, in the AI era, influence is tied to how much intelligence one can command, not just team size. AI spending is essentially competing with labor costs, whether for replacing external BPOs, internal staff, or generating new revenue. BPO contracts provide a clearer benchmark as they are priced per completed unit. The missing layer is attribution from tokens to business outcomes. Companies need a system that connects inference spending to completed work and results, capturing the agent's decision trajectory—what it saw, retrieved, tried, and why it succeeded or failed. This recorded rationale becomes a valuable asset. Ultimately, those who master token-to-outcome attribution will control the allocation of AI resources within enterprises, deciding which workflows get more compute, which are capped, or which revert to humans. The first phase of enterprise AI proved models could do the work. The next phase will determine how much of that work is worth paying for.

marsbit05/28 12:13

Anthropic's Revenue Surpasses OpenAI by at Least 35%, IPO Race Dynamics Shift

Anthropic has overtaken OpenAI in revenue by at least 35%, according to a recent report. Anthropic's annualized revenue is now approximately $45 billion, compared to OpenAI's roughly $33 billion. This represents a dramatic five-fold revenue increase for Anthropic over the first five months of the year, while OpenAI saw growth of just over 50%. The profitability gap is even more significant. Anthropic is expected to post an operating profit in Q2 with around a 5% margin. In stark contrast, OpenAI reported a massive operating loss of over 100% of its revenue in Q1, equating to a loss of at least $7 billion for the quarter. OpenAI also faces substantial costs, including paying 20% of its revenue to Microsoft and high AI server rental fees. This financial reversal impacts their potential IPO timelines. Previously, OpenAI might have been favored to go public first, but now its leadership may view an accelerated IPO as a "more financially prudent choice" to avoid direct, unfavorable public market comparisons. If Anthropic, with its superior growth and profitability metrics, were to file for an IPO first, it would gain a significant valuation advantage. At its current growth rate, Anthropic's revenue could soon surpass major tech firms like Netflix and Salesforce within a year.

marsbit05/28 11:50

Anthropic's Revenue Surpasses OpenAI by at Least 35%, IPO Race Dynamics Shift

marsbit05/28 11:50

The Wind of 'Proactive' AI Blows into Silicon Valley: Hark Secures $700 Million in Funding

Hark, an AI startup founded in late 2025, has raised $700 million in Series A funding at a $6 billion valuation. Led by Parkway Venture Capital with participation from NVIDIA, AMD Ventures, Intel Capital, Qualcomm Ventures, and Salesforce Ventures, the company aims to develop next-generation human-computer interfaces using a combination of proprietary foundational models and custom-built AI-native hardware. Founded by serial entrepreneur Brett Adcock, Hark envisions a system of multimodal devices equipped with agentic capabilities, end-to-end voice models, and personalized memory. This "active" AI approach seeks to move beyond passive chatbots, creating collaborative companions that anticipate needs and interact naturally within the real world. Adcock's experience with Figure, a humanoid robotics company, informs this hardware-focused venture. The article argues that while current AI is powerful, it remains confined to screens and traditional interfaces like chat. The next paradigm shift requires dedicated hardware that is always-on, possesses persistent memory, and enables intuitive interaction, potentially rivaling the impact of the iPhone. Hark is assembling a team with talent from Apple, Meta, Google, and Tesla to tackle this complex engineering challenge across models, hardware, and interaction design. Finally, the piece suggests Chinese startups may have an advantage in this "active" AI hardware space due to strong manufacturing ecosystems, a vast domestic market, and supportive government policies, framing the competition as one that requires integrated progress in models, operating systems, and devices.

marsbit05/28 10:22

The Wind of 'Proactive' AI Blows into Silicon Valley: Hark Secures $700 Million in Funding