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.

This Week's Key Events Preview | U.S. to Release April CPI Data; U.S. Senate Banking Committee to Review "Digital Asset Market Structure Act of 2025"

Weekly News Preview: Key events for May 12-16 include major economic and crypto industry developments. On Tuesday, May 12, the U.S. will release its April CPI data. Additionally, the gaming blockchain Ronin will begin a 10-hour migration to an Ethereum Layer 2, built on OP Stack with EigenDA for data availability. This aims to leverage Ethereum's security and settle RON's annual inflation below 1%. Base's first independent network upgrade, "Base Azul," is scheduled for mainnet activation on Wednesday, May 13, focusing on security, performance, and developer experience enhancements. Thursday, May 14, sees the U.S. Senate Banking Committee voting on the "Digital Asset Market Structure Act of 2025." In other news, Solana DeFi protocol Carrot will shut down, setting a final withdrawal deadline due to impacts from the Drift exploit. The Moscow Exchange will launch futures trading for Solana, Ripple, and Tron indices (RUB-settled) for qualified investors. Multiple service closures are scheduled for Friday, May 15. Dmail Network will begin winding down due to unsustainable infrastructure costs and failed commercialization. Users must export data before this date. Separately, the Cosmos-based lending blockchain UX Chain will fully shut down. Finally, on Saturday, May 16, gaming infrastructure provider Lattice will wind down operations, with its Redstone Layer 2 network ceasing. Users are urged to withdraw assets, especially from contracts like Uniswap pools, before the shutdown.

链捕手05/11 02:02

This Week's Key Events Preview | U.S. to Release April CPI Data; U.S. Senate Banking Committee to Review "Digital Asset Market Structure Act of 2025"

链捕手05/11 02:02

Morning Post | Trump Media Group Releases Q1 Financial Report; Top Three DeFi Applications Return Nearly $100 Million in Revenue to Token Holders in 30 Days; Michael Saylor Shares Bitcoin Tracker Info Again

**Title: Daily Briefing | Trump Media Group Releases Q1 Report; Top 3 DeFi Apps Return Nearly $100M to Token Holders; Michael Saylor Signals Potential Bitcoin Buy** **Summary:** Key developments in the past 24 hours include: * **Economic Outlook:** Goldman Sachs has pushed back its forecast for the next two Federal Reserve interest rate cuts to December 2026 and March 2027, citing persistent inflationary pressures from energy costs. This delayed timeline is expected to tighten liquidity flow into risk assets, including cryptocurrencies. * **DeFi & Revenue:** Data from DefiLlama shows that three leading DeFi applications—Hyperliquid, Pump.fun, and EdgeX—collectively distributed $96.3 million in revenue to their token holders over the last 30 days. This trend highlights a shift in the crypto community's focus towards real protocol earnings and sustainable economic models. * **Corporate Bitcoin Moves:** Michael Saylor, founder of MicroStrategy (note: referred to as 'Strategy' in the text, likely a typographical error), has signaled potential upcoming Bitcoin purchases by posting a "Bitcoin Tracker" update, following a pattern that typically precedes the company's official disclosure of new acquisitions. * **Market Integrity:** Prediction market platform Polymarket announced updates to address platform issues, including identifying and banning clusters of accounts involved in "ghost-fill" activities and implementing measures to prevent bulk account creation. * **Regulation:** The Bank of England Governor warned that stablecoin regulation could lead to tensions between US and international regulators. In South Korea, the National Tax Service has launched a pilot program to entrust seized virtual assets to private custody firms for management. * **Meme Token Trends:** GMGN data lists the top trending meme tokens on Ethereum (e.g., HEX, SHIB), Solana (e.g., FWOG, TROLL), and Base (e.g., SKITTEN, PEPE) over the past day. **Financial Note:** Trump Media & Technology Group reported a Q1 loss of approximately $4 billion, primarily attributed to unrealized losses on its Bitcoin and other digital asset holdings.

链捕手05/11 01:32

Morning Post | Trump Media Group Releases Q1 Financial Report; Top Three DeFi Applications Return Nearly $100 Million in Revenue to Token Holders in 30 Days; Michael Saylor Shares Bitcoin Tracker Info Again

链捕手05/11 01:32

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

A US researcher's visit to China's top AI labs reveals distinct cultural and organizational factors driving China's rapid AI development. While talent, data, and compute are similar to the West, Chinese labs excel through a pragmatic, execution-focused culture: less emphasis on individual stardom and conceptual debate, and more on teamwork, engineering optimization, and mastering the full tech stack. A key advantage is the integration of young students and researchers who approach model-building with fresh perspectives and low ego, prioritizing collective progress over personal credit. This contrasts with the US culture of self-promotion and "star scientist" narratives. Chinese labs also exhibit a strong "build, don't buy" mentality, preferring to develop core capabilities—like data pipelines and environments—in-house rather than relying on external services. The ecosystem feels more collaborative than tribal, with mutual respect among labs. While government support exists, its scale is unclear, and technical decisions appear driven by labs, not state mandates. Chinese companies across sectors, from platforms to consumer tech, are building their own foundational models to control their tech destiny, reflecting a broader cultural drive for technological sovereignty. Demand for AI is emerging, with spending patterns potentially mirroring cloud infrastructure more than traditional SaaS. Despite challenges like a less mature data industry and GPU shortages, Chinese labs are propelled by vast talent, rapid iteration, and deep integration with the open-source community. The competition is evolving beyond a pure model race into a contest of organizational execution, developer ecosystems, and industrial pragmatism.

marsbit05/10 08:09

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

marsbit05/10 08:09

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

Corning, a 175-year-old glass company, is experiencing a dramatic revival as a key player in AI infrastructure, driven by surging demand for high-performance optical fiber in data centers. AI data centers require vastly more fiber than traditional ones—5 to 10 times as much per rack—to handle high-speed data transmission between GPUs. This structural demand shift, coupled with supply constraints from the lengthy expansion cycle for fiber preforms, has created a significant supply-demand gap. Nvidia has invested in Corning, along with Lumentum and Coherent, in a $4.5 billion total commitment to secure the optical supply chain for AI. Corning's competitive edge lies in its expertise in producing ultra-low-loss, high-density, and bend-resistant specialty fiber, which is critical for 800G+ and future 1.6T data rates. Its deep involvement in co-packaged optics (CPO) with partners like Nvidia further solidifies its position. While not the largest fiber manufacturer globally, Corning's revenue from enterprise/data center clients now exceeds 40% of its optical communications sales, and it has secured multi-year supply agreements with major hyperscalers including Meta and Nvidia. Financially, Corning's optical communications revenue has surged, doubling from $1.3 billion in 2023 to over $3 billion in 2025. Its stock price has risen nearly 6-fold since late 2023. Key future catalysts include the rollout of Nvidia's CPO products and the scale of undisclosed customer agreements. However, risks include high current valuations and potential disruption from next-generation technologies like hollow-core fiber. The company's long-term bet on light over electricity, maintained even through the telecom bubble crash, is now being validated by the AI boom.

marsbit05/10 07:37

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

marsbit05/10 07:37

The Night Before the AI Model Shakeout

China's large language model (LLM) industry is entering a critical consolidation phase. In a concentrated wave of funding in May 2026, leading players Kimi, StepFun, and DeepSeek reportedly secured over $70 billion combined, signaling a dramatic capital rush towards the few remaining independent contenders. This frenzy masks an impending shakeout. The core dynamic has shifted from a pure technology race to a battle for survival and strategic positioning. LLM capabilities are rapidly commoditized; gaps between top models are narrowing. Consequently, investment logic has pivoted from betting on future potential to prioritizing cash flow, user access, and ecosystem integration. The economic model poses a fundamental challenge: while user growth previously meant profits, in the AI era, it drives soaring inference costs. Startups, lacking the cross-subsidy ability of tech giants like ByteDance or Tencent, face immense pressure to achieve financial sustainability. DeepSeek's open-source, high-performance, low-cost strategy has further compressed industry profit margins. Facing this reality, the top players are scrambling to lock in their status before the window closes. StepFun is accelerating its港股 IPO, embedding itself in hardware supply chains. Kimi is aggressively showcasing revenue growth (ARR doubling to $2 billion in a month) to prove viability. DeepSeek, with new state-backed investment, is solidifying its role as a strategic national asset. The parallel to China's previous AI "Four Dragons" is stark. The industry is witnessing extreme capital concentration at the top, while mid-tier companies face a funding winter. The narrative has evolved from "who can build the best model" to "who can survive." For independent LLM companies, securing a public listing or a definitive strategic identity is no longer about expansion—it's about securing the very right to exist in the impending era of industry clearance.

marsbit05/10 02:05

The Night Before the AI Model Shakeout

marsbit05/10 02:05

US Stock Registration Giant Acquired by Cryptocurrency Exchange, Accelerating Stock Tokenization

Bullish (NYSE: BLSH), a crypto asset trading platform, announced a $4.2 billion acquisition of Equiniti, a major Wall Street transfer agent serving nearly 3,000 public companies. This move aims to accelerate stock tokenization by securing a critical, regulated piece of financial infrastructure that maintains official shareholder records and handles dividends. The deal signals intensifying competition in the tokenization race. True "native" on-chain securities require a licensed transfer agent for legal ownership registration—a bottleneck Bullish now aims to solve. The acquisition positions Bullish to bridge traditional equity markets with blockchain, leveraging Equiniti's extensive client network and compliance credentials. This follows recent key developments: ICE (NYSE's parent) plans a new tokenized securities platform, and the SEC approved Nasdaq's tokenized stock pilot. Bullish's strategy is to establish a neutral, cross-platform infrastructure ahead of these initiatives. The combined company expects high growth from its tokenization business, targeting the vast U.S. equity market. The narrative is shifting from "crypto vs. Wall Street" to convergence, where legacy infrastructure is upgraded onto blockchain rails. The next 18 months will be crucial for observing the rollout of NYSE's platform, Bullish-Equiniti integration, and the broader adoption of tokenized securities by institutions.

marsbit05/09 09:52

US Stock Registration Giant Acquired by Cryptocurrency Exchange, Accelerating Stock Tokenization

marsbit05/09 09:52

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