慢雾：Grok Build CLI在数据上传和权限管理方面存在多处安全风险
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xAI releases Voice Agent Builder, a voice intelligence platform: enabling the creation of human-like voice agents without coding.
BlockBeats reported on July 1st that xAI launched its new product, Voice Agent Builder. This no-code platform, based on Grok Voice, allows developers and operators to quickly build human-like conversational voice agents. It is now available for use, priced at $0.05 per minute. This tool targets users who want to directly deploy production-grade voice AI applications, lowering the technical barrier to building a voice system from scratch. The official statement indicates that the platform integrates complete capabilities including telephone system access, knowledge retrieval, tool invocation, content security control, and observability. It also supports integration with existing phone numbers, APIs, and MCPs from external systems. Compared to traditional voice technologies that require separate calls to speech-to-text, large language models, and text-to-speech services, leading to increased latency and costs, Voice Agent Builder achieves a unified voice processing workflow through deep coupling with the Grok model, reducing latency, minimizing points of failure, and improving overall performance. Click the original link below to join the Beating · Lark AI news channel for 24/7 monitoring of global AI hotspots and news.
U.S. Representative Maxine Waters has called for the withdrawal of a proposal that would allow 401(k) holders to invest in digital assets.
PANews reported on June 27th that, according to Coindesk, U.S. House Democratic Representative Maxine Waters submitted an 11-page comment to the U.S. Department of Labor, requesting the withdrawal of a proposal that would allow 401(k) retirement plans to invest in alternative assets, including private equity, private credit, real estate, commodities, and digital assets. Waters stated, "The Department of Labor's endorsement of digital assets as suitable for the retirement savings of ordinary Americans is contradictory, while the Securities and Exchange Commission (SEC) is still building investor protection mechanisms designed to ensure the safety of ordinary investors investing in these assets. The risk is not limited to the volatility of individual tokens (although volatility is indeed high), but reflects a general deterioration in the entire digital asset ecosystem, with a significant decline in trading activity, developer engagement, and user engagement."
Asset management giant Vanguard is hiring its first head of digital assets to evaluate strategies including tokenization and stablecoins.
PANews reported on July 8th that, according to Bitcoin Magazine, Vanguard, the world's second-largest asset manager (with approximately $12 trillion in assets under management), has created its first-ever Head of Digital Assets position, responsible for developing the company's long-term crypto and blockchain strategy. This role will evaluate areas such as tokenization, stablecoins, digital wallets, custody, and blockchain settlement, and determine whether Vanguard should build its own capabilities, partner with external entities, or postpone entry into certain markets. The position will involve developing multi-year roadmaps and designing governance and risk frameworks. Vanguard stated that this hiring does not indicate an upcoming launch of crypto products and that it currently has no plans to issue its own crypto investment vehicles.
Vanguard Group publicly advertised for a head of digital assets, having explicitly stated that crypto assets were inconsistent with its long-term investment philosophy.
According to Mars Finance, Vanguard Group is hiring a Head of Digital Assets for its Personal Wealth business. The job requirements include over 10 years of relevant experience, a deep understanding of digital assets (tokenization, stablecoins, custody, settlement, etc.), and innovation and risk management capabilities in a regulatory environment. This position will be responsible for developing Vanguard's strategy, roadmap, and implementation in the digital asset space, including assessing digital asset capabilities, product development, operating models, and cross-functional collaboration with product, technology, operations, risk, legal, and compliance departments. It will also require representing Vanguard in external communications with industry players, regulators, and clients. It is understood that Vanguard began allowing brokerage clients to trade crypto ETFs and mutual funds last December, but the company has explicitly stated that it has no plans to launch its own crypto investment products, believing that digital assets are still inconsistent with its long-term investment philosophy.
Asset management giant Vanguard Group is hiring a head of digital assets to drive the encryption and tokenization of its personal wealth management business.
PANews reported on July 7 that asset management giant Vanguard Group is hiring a "Head of Digital Assets, Personal Wealth" to develop and execute the overall digital asset strategy and multi-year roadmap for the personal wealth sector, covering product design, operating models, risk and compliance frameworks. This position will lead the evaluation and development of digital asset products and services for self-investment, investment advisory, and high-net-worth clients, including access models, pricing, custody/wallets, settlement and reporting processes, and coordinating cross-departmental implementation across technology, operations, legal, and compliance departments.
Opinion: Open source models account for only 10% of enterprise large-scale model spending, but mature production environments will be dominated by open source models.
According to Beating's monitoring, while public opinion often touts that open-source large models are dominating everything, enterprise spending data presents the opposite picture. Jesse Zhang, co-founder and CEO of Decagon, an enterprise-level AI customer service platform, points out that the share of open-source models in total enterprise spending has now dropped to 11%. This decline stems from the fact that most enterprises' AI applications are still in the early, undefined exploratory stage, thus defaulting to reliance on closed-source models. However, he emphasizes that once application scenarios mature, open-source models will take over production environments with their advantages of extremely low latency and deep fine-tuning. In Decagon's own production environment, 90% of calls have already switched to open-source weighted models. The core driver of this transformation is interaction speed and customization capabilities, not cost savings. In customer service scenarios, a single conversation that takes 8 seconds to finish will completely destroy the product experience. Since leading closed-source labs do not allow fine-tuning of flagship models, and small closed-source models cannot be deeply customized, small-sized open-source models, through fine-tuning for specific tasks, have become the only option to support high-frequency real-time interactions. The future of enterprise AI will see a division of labor: leading closed-source labs will continue to dominate the exploration and discovery of new fields, while open-source weighted models will increasingly take over the actual production of mature businesses. Because model fine-tuning requires extremely high levels of data and talent, the migration from closed-source to open-source will be a slow process lasting several years, during which both will experience sustained growth.