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.

Goldman Sachs CEO: The 'AI Employment Apocalypse' Is Overstated

Goldman Sachs CEO David M. Solomon argues that fears of an AI-driven "job apocalypse" are overblown. While AI will significantly impact the labor market—automating up to 25% of current work hours, particularly routine tasks in white-collar professions like accounting, banking, and law—it is more likely to transform jobs than eliminate them en masse. Historical trends show that technological disruptions, from electrification to the digital revolution, have ultimately led to job creation and economic adaptation. Solomon notes that AI is already generating new roles in areas like data center construction and AI workflow management. The key challenge is not mass unemployment, but ensuring that social, educational, and corporate systems help workers transition into more complex, judgment-based roles. He calls for a combined public-private effort to support reskilling and the development of AI that augments rather than replaces human labor.

marsbit05/26 07:01

Goldman Sachs CEO: The 'AI Employment Apocalypse' Is Overstated

marsbit05/26 07:01

The Standard-Bearer of a Trillion-Dollar Industry Falls on the Eve of Victory

Ondo Finance CEO Nathan Allman, a key figure in the RWA (Real World Assets) sector, has passed away unexpectedly. The company announced on May 26, 2026, that longtime president Ian De Bode will succeed him as CEO. Allman, a former Goldman Sachs digital assets executive, founded Ondo Finance in 2021. The company became a leader in tokenizing securities, starting with U.S. Treasury funds (OUSG/USDY) and expanding to a platform for tokenized U.S. stocks and ETFs (Ondo Global Markets). Its total value locked (TVL) surpassed $4 billion, capturing about 58% of the tokenized stock market. A major focus for Allman was navigating regulatory challenges. He personally led engagements with the SEC, which later closed a confidential investigation into Ondo without charges. Recently, Ondo achieved significant milestones: obtaining an SEC no-action letter for tokenized securities on Ethereum, partnering with DTCC in its tokenization initiative alongside BlackRock and Goldman Sachs, and completing a pilot for near-instant cross-border redemption of tokenized Treasuries with J.P. Morgan, Mastercard, and Ripple. The company emphasized that De Bode, a former McKinsey digital assets lead who has overseen strategy and operations for over two years, has the full support of the management team to continue Allman's vision. The ONDO token saw a relatively muted market reaction, dropping approximately 6% following the news.

marsbit05/26 04:15

The Standard-Bearer of a Trillion-Dollar Industry Falls on the Eve of Victory

marsbit05/26 04:15

Pope Takes Stage with Anthropic: A Guide to the Vatican's First AI Encyclical

On May 25, 2026, Pope Leo XIV released the Vatican's first AI-focused encyclical, "Magnifica Humanitas: Safeguarding Humanity in the Age of Artificial Intelligence." Choosing this name explicitly connects the document to Pope Leo XIII's response to the Industrial Revolution, framing AI as a similarly transformative shift. The Pope argued AI must be "disarmed," comparing its potential dangers to nuclear weapons, and called for governance beyond tech companies and market forces. Significantly, the launch featured Anthropic co-founder Christopher Olah, who described AI models as "grown" from human language and reflecting human emotions, yet not fully understood by their creators. He acknowledged commercial pressures on labs and stated fundamental questions—like ensuring AI benefits poor nations, defining human flourishing, and understanding what we are creating—require input from philosophy and religion. The encyclical warns that universal prosperity from AI is an "illusion" without deliberate design. Citing a century-old observation that humanity is ill-trained to wield great power, it argues we must learn to use AI before it controls us. The Church offers no technical solutions but claims its millennia of wisdom on human dignity is essential to ensure AI serves, rather than dominates, human conscience and prosperity.

marsbit05/26 04:00

Pope Takes Stage with Anthropic: A Guide to the Vatican's First AI Encyclical

marsbit05/26 04:00

Unitree Robotics' IPO Hearing Countdown! Dissecting the 'Ice and Fire' in the Prospectus of the 'First Humanoid Robot Stock'

Unitree Robotics, poised to become China's first publicly listed humanoid robot company, is set for its IPO review on the Shanghai Stock Exchange. Its prospectus reveals a company undergoing a rapid transformation. Once primarily a quadruped robot (robodog) maker, humanoids now account for over half of its revenue as of 2025, with the company selling approximately 5,500 units in that year—reportedly the highest global volume. Current demand, however, is heavily concentrated in research and education (74% of humanoid sales), while commercial and consumer use is largely for promotional "display" purposes. Industrial applications remain limited (~9% of sales), though quadruped robots see more mature use in industrial inspections. A key strength is Unitree's vertically integrated model, self-designing and manufacturing critical components like motors and actuators. This has driven manufacturing costs down and pushed gross margins up to nearly 60%—exceptionally high for a hardware company. Financially, revenue surged 335% to about $252 million in 2025, with the company achieving profitability. Its IPO targets a valuation of $6-7 billion, planning to invest nearly half the raised capital into AI model development. This includes funding for Vision-Language-Action (VLA) and World Model + Action (WMA) models, highlighting its strategic focus on building a software "brain" to complement its hardware leadership and secure a long-term competitive edge. The prospectus showcases Unitree's manufacturing prowess and growth but also underscores the early, niche stage of widespread humanoid robot commercialization beyond academia and demonstration.

marsbit05/26 03:22

Unitree Robotics' IPO Hearing Countdown! Dissecting the 'Ice and Fire' in the Prospectus of the 'First Humanoid Robot Stock'

marsbit05/26 03:22

Will Ethereum's Native Privacy Proposal EIP-8182 Absorb Liquidity from Other Privacy Coins?

The article discusses Ethereum Improvement Proposal (EIP) 8182, titled "Private ETH and ERC-20 Transfers," a draft proposal to integrate native privacy directly into the Ethereum protocol layer (L1). Currently, Ethereum transactions are fully transparent, and existing privacy solutions like Tornado Cash are third-party dApps with limitations: small anonymity sets (mixing pools), lack of interoperability, and regulatory vulnerability. EIP-8182 aims to create a large, unified "shared shielded pool" and zero-knowledge proof (ZK) precompiles within the core protocol. Key features include a massive, shared anonymity pool for all users and dApps, significantly enhancing privacy strength; native support for private transfers of ETH and any ERC-20 token; a decentralized system contract architecture without admin controls or fees; and the use of ZK proofs to validate transactions without revealing specific details. If implemented, this upgrade could position Ethereum as the world's largest privacy-focused blockchain. By offering a built-in, highly private environment with a vast user base and liquidity, it might attract institutional and individual users, potentially drawing liquidity away from dedicated privacy coins like Zcash and Monero, or even users seeking privacy on Bitcoin. The integration could transform Ethereum from a transparent public ledger into a dominant privacy-centric platform, with potential future enhancements like fully homomorphic encryption (FHE) for compliance capabilities.

marsbit05/26 02:56

Will Ethereum's Native Privacy Proposal EIP-8182 Absorb Liquidity from Other Privacy Coins?

marsbit05/26 02:56

Vitalik's Article Emphasizes Ethereum Must Be 'Amazing', But Foundation Is Not the Center

Vitalik Buterin has published a lengthy response to recent community criticism directed at the Ethereum Foundation (EF). Acknowledging a sense of "unease," he addresses concerns about the EF's strategic direction, its perceived disconnect from ETH's price performance, and calls for its reduced central role. Vitalik rejects the notion that the EF should be the central governing body of Ethereum, framing it instead as one "node with a clear mandate" among many within the ecosystem. He highlights the EF's limited ETH holdings (≈0.16% of supply) compared to other blockchain foundations and states it will no longer sell significant amounts of ETH. Its future focus will be on long-term, critical projects that align with Ethereum's core values of censorship-resistance and decentralization, which might not otherwise happen. A core argument is that Ethereum must be "amazing," but not by merely chasing higher transaction speeds at the cost of decentralization. He proposes focusing on the "CROPS" dimensions: creating a Cryptographically provable, Reliable, Open, Private, and Secure network. This includes pursuing goals like a formally verifiable, bug-free Ethereum client and minimizing protocol-level reliance on intermediaries. The article concludes by noting that while Vitalik clarifies the EF's refocused role, he does not directly address community suggestions for creating a new organization explicitly aligned with ETH's economic interests. This "alignment gap" is presented as a key challenge for Ethereum's future.

链捕手05/25 15:07

Vitalik's Article Emphasizes Ethereum Must Be 'Amazing', But Foundation Is Not the Center

链捕手05/25 15:07

TechFlow Intelligence Report: Huawei Unveils "Tao" Law, Semiconductor Sector Surges; Meta Cuts 10% of Workforce

"TechFlow Intelligence Brief": Huawei's new "Tau Law" in semiconductors and Meta's 10% layoffs headline today's tech landscape. In AI, breakthroughs include an AI solving 9 high-difficulty pure math problems for just a few hundred dollars each, and DeepSeek's new Reasonix programming agent challenging commercial models. However, research highlights a "constraint decay" issue in LLM-generated backend code. Open-source model Qwen 3.6 27B achieves high speeds on older GPUs, sparking debate on NVIDIA's future dominance. In Crypto/Web3, Ethereum Foundation plans to downsize, possibly reducing ETH selling pressure. Fake news about CZ ignited a meme coin frenzy, showing the market's sensitivity to celebrity narratives. DeFi sees a new trend in HELOC-backed Real World Asset (RWA) pools. The chip sector is stirred by Huawei's proposed "Tau (τ) Law," aiming for 1.4nm-equivalent performance by 2031 through architectural innovation, causing related stocks to surge. A report notes memory now constitutes nearly two-thirds of AI chip cost. Meanwhile, executives at 7 Chinese semiconductor firms sold shares after price peaks. Meta announces 10% layoffs as it pivots to AI. Google's CEO faced student protests over AI ethics during a speech, and the company controversially published a Chromium exploit before patching was complete. Xiaomi permanently banned installers for AC installation fraud. In US stocks, AMD is seen as a potential challenger to NVIDIA, while a survey reveals 99% of CEOs expect AI-driven layoffs within two years. Palantir secured a government contract for employee monitoring, raising privacy concerns. Macro developments include a 6% drop in WTI crude oil on hopes for reopened Hormuz Strait, and silver prices rising over 4%. Global oil inventories are nearing critical lows. New trends highlight a "audio prompt injection" attack targeting AI voice assistants via hidden commands, and CBS pausing takedowns of pirated Stephen Colbert episodes after public pushback. The underlying narrative connects AI's cost-effective problem-solving, widespread planned job displacement, and Huawei's challenge to Western tech hegemony, framing the AI and chip race as a broader contest over employment, geopolitics, and the very definition of intelligence.

marsbit05/25 10:50

TechFlow Intelligence Report: Huawei Unveils "Tao" Law, Semiconductor Sector Surges; Meta Cuts 10% of Workforce

marsbit05/25 10:50

New Information Laundering in Prediction Markets: How Secrets Blend into Investment Signals

"The New Information Laundering in Prediction Markets: How Secrets Infiltrate Investment Signals In late February 2026, nine linked anonymous wallets on Polymarket placed over 80 bets on specific details of a US-Iran war, winning over $2.4 million with a 98% win rate. This exemplifies 'information laundering'—a destructive flaw inherent to prediction markets. These markets function by aggregating trader supply and demand on an order book to set prices, which represent collective probability estimates. This makes them valuable real-time sentiment indicators for institutions. However, the system cannot distinguish between public information and stolen secrets. Confidential information enters one end, and 'clean' market prices—bearing no trace of their illicit origin—emerge from the other. For example, an insider knowing of an imminent strike can buy contracts at low odds, pushing the price up and disguising the secret as a savvy market signal, then profit massively when the event occurs. Analysts can sometimes uncover these schemes due to the blockchain's transparency, as seen with Bubblemaps. Paradoxically, this same transparency can inadvertently broadcast secrets to adversarial observers, providing them with low-cost intelligence. Current laws, like insider trading regulations focused on corporate information, fail to address this issue, especially concerning events like military actions with no 'issuer.' Jurisdictional challenges are amplified as platforms operate offshore, easily bypassing national bans with VPNs. Recent US congressional investigations and proposed bills aim to ban war betting and trading on non-public information by officials. The core issue is that information laundering is not a bug but a feature: a market that perfectly converts knowledge into price will inherently reward those with the best information, including those who obtained it illicitly. As prediction markets grow, potentially reaching hundreds of billions in volume, society must confront whether it can tolerate a machine that profitably transforms its most guarded secrets into public, tradable numbers."

链捕手05/25 08:56

New Information Laundering in Prediction Markets: How Secrets Blend into Investment Signals

链捕手05/25 08:56

Leading Players in Large Models Drain the Primary Market

The AI industry is witnessing an unprecedented concentration of capital into a handful of leading players, signaling what insiders call the "eve of a final shakeout." A staggering funding surge exceeding $7 billion hit just three Chinese companies in May alone—Kimi, StepFun (接近完成融资), and DeepSeek—with the latter's valuation reaching $45-$50 billion. Globally, giants like OpenAI, Anthropic, and SpaceX (set to merge with xAI) are preparing for public listings, collectively eyeing valuations over $3 trillion. This capital is no longer fueling a broad "hundred-model war" but is being funneled to "refuel" the final few contenders, following a sector-wide attrition rate exceeding 90%. This frenzy is driven by a fundamental shift in industry logic. The focus has moved from比拼模型智商 (competing on model intelligence) to "token factory economics." The explosion of long-context AI agents has massively increased token consumption per task. With token supply constrained by bottlenecks in HBM memory and power infrastructure—key factors in production costs—dominance now hinges on owning and efficiently operating large-scale compute resources. Major tech firms are investing hundreds of billions annually in this AI "power grid." Consequently, competition pivots to three core areas: 1) **Monetization** as the "AGI premium" cools, forcing a shift from user growth to revenue; 2) **Cost efficiency**, where reducing inference costs becomes the ultimate KPI as model capabilities commoditize; and 3) **Strategic path divergence** between enterprise-focused AI (prioritizing integration and reliability) and consumer-facing applications (betting on scale and user engagement). The message is clear: the final capital injections are determining the endgame lineup. Success will depend not just on technical prowess, but on transforming technology into a sustainable, profitable business model with demonstrable return on massive compute investments.

marsbit05/25 06:35

Leading Players in Large Models Drain the Primary Market

marsbit05/25 06:35

MLCC Capacitor Price Increase: A Comprehensive Overview of Beneficiary Companies

Recent teardown reports of Nvidia's next-generation AI chips have reignited investor interest in the MLCC (Multi-Layer Ceramic Capacitor) sector. Analysis of the Rubin architecture VR200 server reveals a 30% increase in MLCC count and a 182% surge in component value per rack compared to the previous generation, with GPU board usage nearly doubling. High-power, high-voltage hardware designs are driving massive adoption of high-end, high-withstand-voltage, and large-capacity MLCCs, exacerbating supply shortages. The global MLCC supply-demand balance remains tight. Leading Japanese and Korean manufacturers have successively raised prices across series, compounded by overseas capacity constraints and long-term customer order locks at major factories. Delivery lead times for high-end products now exceed 20 weeks, with capacity struggling to keep pace with surging orders. Demand drivers include AI servers, automotive electronics, and recovering consumer electronics, leading to both volume and price increases for MLCCs. The industry chain beneficiaries are outlined as follows: **1. MLCC Product Manufacturers:** Direct beneficiaries of price hikes. Key Chinese companies include Fenghua Advanced Technology (leading domestic player), Sanhuan Group (vertical integration from materials to products), and others like Hongyuan Electronics (military focus) and Torch Electron (specialty ceramics). **2. MLCC Raw Materials & Components:** The foundation of the supply chain. * **Release Film:** A critical consumable in production. Companies include Jiemei Technology (domestic leader), Shuangxing New Materials, and Sidike. * **Metal Powders (Ni/Cu):** Core materials for internal electrodes. Key suppliers are Boqian New Materials, Yuean New Materials, and Gripm Advanced Materials. * **Dielectric Ceramic Powder:** The core material determining MLCC performance. Sinocera Advanced Materials is a global leader, while Sanhuan Group and Fenghua Advanced Technology also have significant in-house capabilities. The report highlights that rising AI server power is significantly increasing requirements for chip capacitors and inductors, forecasting explosive industry growth aligned with projected GPU/TPU shipments through 2027-2028.

marsbit05/25 02:57

MLCC Capacitor Price Increase: A Comprehensive Overview of Beneficiary Companies

marsbit05/25 02:57

活动图片

Hot Categoriesright-arrow

Hot Tagsright-arrow

Project Updates

Industry News