2026-06-07 Domingo

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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

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

IOSG: DeFi at Its Most Critical Moment, The Real Vulnerability Lies Not in the Code

In April 2026, a series of major DeFi exploits—targeting Drift Protocol ($285M), KelpDAO ($292M via bridge), and Wasabi Protocol ($4.5M)—revealed a fundamental security crisis. None involved smart contract code vulnerabilities. Instead, losses stemmed from compromised operational foundations: social engineering of multi-signature signers, a single-point-of-failure bridge validator, and stolen admin private keys. This month, where over $625M was stolen across ~30 incidents, marked the collapse of DeFi's core security premise: that rigorous code audits alone ensure safety. The real vulnerabilities lay in trusted operational components—admin keys, governance councils, and bridge configurations—areas audits typically ignore. The KelpDAO incident triggered an asymmetric domino effect: its $2.92B unsupported token mint caused ~$8.5B in outflows from Aave and a $13.2B total DeFi TVL drop in 48 hours, showcasing how one protocol's operational failure can cascade through composable systems. The article argues that most so-called "DeFi" is actually "OpenFi": permissionless and transparent on-chain, but critically reliant on trusted third parties for key operations. This inherent trade-off between decentralization and operational feasibility is often obscured by marketing. The industry's path forward requires honest disclosure of trust assumptions (like L2Beat's framework), treating operational security as a first-class discipline alongside code audits, and designing systems whose risks can be clearly assessed and insured. The April events were not a code security failure but a breakdown in the mental model surrounding it.

marsbit05/26 03:08

IOSG: DeFi at Its Most Critical Moment, The Real Vulnerability Lies Not in the Code

marsbit05/26 03:08

The 'Stock Call King' Serenity: 3840% Annual Return, Beating Institutions to the Punch

This article profiles the mysterious stock trader and analyst known as Serenity, who has gained significant influence on social media platform X as a "stock call king." Serenity claims extraordinary annual returns of 3840% for the current year and 2256% over the past two years, primarily by focusing on overlooked companies within the AI and semiconductor supply chains. Operating anonymously, Serenity describes himself as a former Reddit WallStreetBets trader, an AI/semiconductor supply chain analyst, and a former AI research scientist. His core investment strategy, termed the "Chokepoint" theory, involves identifying small, critical bottleneck companies in the AI infrastructure ecosystem—such as those in photonics, substrates, and materials—that are essential yet undervalued. He argues these "invisible champions" become crucial as demand for AI hardware surges, creating significant investment opportunities before large institutions take notice. A frequently cited example is stock AXTI, which he has recommended for over two years and claims has yielded over 10,000% returns. The article notes that while Serenity's free, public posts on X have garnered a large following, his identity and exact portfolio size remain unverified, leading to some skepticism. Critics question if his reported returns are fabricated or if he might be manipulating prices of low-market-cap stocks. Serenity counters that he shares research freely to democratize information, allowing retail investors to benefit before institutional buy-ins, and that percentage returns are more meaningful than disclosing specific dollar amounts. Ultimately, the article presents Serenity as a polarizing figure—either a visionary analyst with a superior research framework or a potentially sophisticated market player. It concludes that the truth of his claims and legacy will only be determined by time.

Odaily星球日报05/26 03:00

The 'Stock Call King' Serenity: 3840% Annual Return, Beating Institutions to the Punch

Odaily星球日报05/26 03:00

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

Investors Frantically Snap Up AI Firms with 'No Profits': A High-Stakes Gamble on 'the Right to Define the Future'

"Investors are pouring billions into Chinese AI startups with no profits, betting on the future of the industry. A state-backed fund is reportedly in talks to lead DeepSeek's funding at a $45B valuation, just weeks after it was valued at $10B. Along with companies like Zhipu AI, MiniMax, and Kimi (backed by Meituan and Alibaba), their combined valuation exceeds $140B. This isn't a typical venture capital play. Investors are paying for 'future definition rights'—a chance to set the standards for the next tech era. Morgan Stanley notes a 6-12 month window for this scarcity premium before more AI companies go public. Despite massive losses, these companies show strong growth. Zhipu AI's API revenue grew 60x, Kimi's annual recurring revenue doubled to $200M in a month, and MiniMax turned its gross margin positive, with over 70% of revenue from overseas. Their valuations vastly exceed profitable firms like iFlytek. Crucially, technical progress underpins this growth. DeepSeek's latest model boasts costs just 1% of a leading competitor's, while Zhipu AI has raised API prices due to high demand. However, gaps with top global models remain. Tech giants like Tencent and Alibaba, investing heavily while describing their own AI efforts as 'leaky boats,' are also investing in these startups as a hedge. Key risks loom: the closing scarcity window, computing power bottlenecks limiting growth, and the sustainability of DeepSeek's cost-advantage model. With state capital now a major player, the success of these companies has become a strategic national concern. The next year will test if their soaring valuations can be justified by future profits."

marsbit05/26 02:06

Investors Frantically Snap Up AI Firms with 'No Profits': A High-Stakes Gamble on 'the Right to Define the Future'

marsbit05/26 02:06

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