OpenRouter, an AI model aggregation platform, has announced the completion of its $113 million Series B funding round, according to PANews. The round was led by CapitalG, the growth fund of Google's parent company, with participation from a16z, Menlo Ventures, NVentures (Nvidia's venture arm), and venture arms of ServiceNow, MongoDB, Snowflake, and Databricks. The company's valuation has surpassed $1 billion. OpenRouter reported a significant increase in platform usage, with weekly token calls rising from 5 trillion to 25 trillion over the past six months. This growth indicates a shift from experimental to production environments for AI applications.

The XRP Ledger (XRPL) could soon address a significant DeFi gap with a new draft amendment titled 'AMM Swappable Curves,' filed on Tuesday. This proposal aims to enhance the network's automated market maker (AMM) by introducing three new curve types: constant product, concentrated liquidity, and StableSwap. According to CoinDesk, these additions are designed to improve capital efficiency for liquidity providers, particularly for stablecoin pairs and correlated assets. The amendment, authored by XRPL core developers Denis Angell and Roman Thpt, requires a separate vote before activation and remains in draft form. Currently, over $3 billion in tokenized real-world assets are on XRPL, including a recent Ripple-JPMorgan pilot. The proposal's impact on XRP and DeFi activity will depend on the amendment process, which could take months and is not guaranteed to pass.

Space and satellite-related stocks experienced a significant surge on Tuesday. Bloomberg posted on X that this increase in investor enthusiasm comes in the wake of SpaceX's recent filing for a public offering. The move by Elon Musk's company has sparked heightened interest in the industry, leading to a notable rise in stock values.

A Greek supertanker carrying 2 million barrels of crude oil was escorted by the U.S. Navy through waters off the coast of Oman, according to a previous report by The Wall Street Journal. This escort operation was initially described as part of a new phase of the 'Freedom Plan.' According to Odaily, the media outlet later corrected its report, citing a spokesperson from the U.S. Central Command who clarified that the 'Freedom Plan' has not been reinstated. The earlier report suggesting the plan's relaunch was inaccurate. The media also noted that its previous version incorrectly stated that the coordination with the merchant vessel was a new phase of the 'Freedom Plan.'

Safety measures embedded in open-source artificial intelligence models by major tech companies can be quickly removed using publicly accessible tools, according to a study conducted by Financial Times in collaboration with AI safety group Alice. According to Cointelegraph, the findings, released on Monday, raise concerns about the durability of these safeguards once model weights are released and modified, prompting questions about the responsibility for AI safety. The investigation utilized tools from public code repositories and discovered that protective measures on models developed by companies like Meta and Google could be dismantled in less than 10 minutes without requiring specialized hardware. Once modified, these systems could respond to prompts that the original models would reject, including those related to malware and chemical hazards. This situation presents a significant challenge for policymakers as open-source systems become more advanced and widely distributed. Unlike proprietary models, open-source systems can be downloaded, altered, and redistributed beyond the control of their original developers, complicating the enforcement of safety constraints post-release and questioning the sufficiency of regulation focused solely on model development. Global regulators are crafting frameworks for advanced AI systems, such as the European Union's AI Act and emerging safety approaches in the UK and the US. However, experts argue that the findings expose limitations in current governance assumptions. Markus Levin, co-founder of XYO, a decentralized physical infrastructure network company, told Cointelegraph that the swift removal of safeguards illustrates "how quickly control shifts once open models are released," noting that most governance proposals overly emphasize the model-building stage. David Minarsch, a founding member of Olas and CEO of Valory, an AI agent platform, mentioned that governments are unlikely to prevent determined actors from accessing or modifying models once weights are widely mirrored online. He suggested that regulation would be more effective if it focused on deployment, distribution, and harmful real-world use rather than solely on the original developer layer. Ronghui Gu, CEO and co-founder of CertiK, a blockchain security firm, told Cointelegraph that while governance at the developer layer remains important, it becomes inadequate once models can be freely downloaded and redistributed. Gu emphasized that policymakers are more likely to influence commercial hosting, enterprise deployment, and distribution channels than to completely prevent the spread of modified models. He argued that security standards must evolve to identify malicious or high-risk behavior in third-party AI tools and autonomous AI agent environments before deployment to better contain runtime threats as agents assume more autonomous roles. Levin noted that containment becomes increasingly challenging once models are mirrored and redistributed, suggesting that policymakers may need to focus more on infrastructure and distribution points rather than model design alone. Both Levin and Minarsch compared the issue to open-source software and crypto networks, where attempts to suppress distribution have historically been difficult once code is publicly available. Minarsch added that while safety layers can deter casual misuse, they should not be mistaken for robust protection against sophisticated actors.

Eleanor Terrett posted on X. The $2.5 trillion cryptocurrency industry is actively participating in the Texas primary runoffs, with crypto-backed political action committees (PACs) investing in several competitive races. Tether-backed Fellowship PAC has allocated $500,000 for advertisements supporting Ken Paxton's campaign for the Texas Senate seat against incumbent John Cornyn. This expenditure follows U.S. President Donald Trump's endorsement of Paxton and comes after the PAC withdrew a planned $1.75 million ad purchase for Paxton in April. The newly established Blockchain Leadership Foundation has contributed an undisclosed amount to Democrat CD Menefee, who is challenging Representative Al Green in Texas's 18th Congressional District. Additionally, it has donated to Jon Bonck, a Trump-endorsed Republican candidate for the open 38th Congressional District seat. Fairshake, along with its affiliates, represents the largest Super PAC network in the crypto sector, beginning the year with approximately $193 million in funds. The network has invested in several Texas races, including spending $6.5 million to support Menefee and over $2.5 million opposing Green in TX-18. Furthermore, Fairshake has spent a total of $1.8 million across various GOP primary runoffs, including $453,000 supporting Alex Mealer in TX-9, $426,000 for Sell in TX-19, $607,000 for Carlos in TX-35, and $348,000 for Bonck in TX-38.

“말수를 줄이는” 연방준비제도(Fed)는 시장이 불확실성에 대처하는 법을 다시 배우게 할 것이다.

골든파이낸스가 《골든 Web3.0 일간지》를 출시하여, AI, DeFi, DAO, NFT 및 메타버스 업계의 최신 소식을 가장 빠르게 전해드립니다.

미국 주식, Futu와 Tiger가 차단됨. 미국 주식 접속 경로가 체인상에서 재구축 중. Golden Finance, 규제는 항상 뒤쫓기만 하고, 시장은 끊임없이 움직인다.

암호화폐 카드 시장의 경쟁은 점차 유사해지고 있으며, 기반 기술의 통합 능력이야말로 진정한 핵심 경쟁 우위이다.

이 글에서는 Hyperliquid, Aster, Lighter, edgeX, StandX가 지난 1년간 이룬 주요 성과를 시간순으로 정리하여, HYPE의 급등 이면에서 Perp DEX 분야가 어떤 변화를 겪고 있는지 살펴봅니다.

AI 강세장이 지속될 수 있을지 여부를 진정으로 결정하는 것은 단일 분기의 실적도, 특정 히트 앱도 아닌 세 가지 변수입니다.

토큰은 AI 시대의 가치 체계를 재편하고 있다. 본고는 화폐 이론, 시장 구조, 산업 경제 및 공공 정책 등의 관점에서 토큰의 속성, 공급과 수요, 그리고 미래 발전 전망을 체계적으로 분석한다.

ETH, 이더리움의 핵심 가치: CROPS vs Corp 골든파이낸스, 이더리움이 재구축되면서 창립자가 불필요해지고 있다.

Web3가 ‘누가 자산을 발행할 수 있는가’라는 문제를 해결했다면, Exchange OS가 해결하고자 하는 것은 ‘누가 시장을 만들 수 있는가’라는 문제입니다.

“Squid”라는 이름을 사용한 제3자 암호화폐 모듈이 이더리움과 베이스(Base) 네트워크에 걸쳐 있는 86개의 Gnosis Safe에서 약 320만 달러를 탈취했으며, 사용자들이 처음에는 이 해킹 사건이 Squid 자체와 관련이 있다고 믿으면서 디파이(DeFi) 생태계 전반에 혼란을 야기했다.