🚨HUGE: DTCC AMONG PARTNERS FOR LAYERZERO'S NEW "ZERO" BLOCKCHAIN@The_DTCC , which processes trillions in securities annually, is exploring @LayerZero_Core 's new Zero blockchain for tokenized securities and large-scale collateral management.Zero claims 2 million transactions per second using zero-knowledge proof breakthroughs, dwarfing @solana 's previous 100K TPS max.The partner list is arguably the real story: @Citadel Securities (handles 35% of U.S. retail stock trades) is making a strategic ZRO token in ...

Citadel and Ark Invest back LayerZero as it launches blockchain, partners with Google Cloud and DTCC https://t.co/bNAZwD80uI ...

Core Insights - Humana has launched Agent Assist, a new AI-driven solution in partnership with Google Cloud, aimed at enhancing member support through personalized and timely responses to health benefit inquiries [1][5] - The initiative is part of Humana's digital transformation strategy, focusing on improving member experiences with responsible and human-centered AI [1][3] Group 1: Agent Assist Features - Agent Assist helps over 20,000 member advocates manage up to 80 million calls annually by summarizing conversations in real-time and anticipating member needs [2] - The solution provides proactive guidance, compliance support, and automated call summaries, reducing manual workload and improving consistency across interactions [3] - Built on Humana's agentic AI platform, Agent Assist utilizes Google Cloud's Vertex AI and Gemini to assist advocates while ensuring a "human in the loop" approach [4] Group 2: Implementation and Goals - Humana member advocates began using Agent Assist in October 2025, with a full rollout planned for 2026 [5] - The collaboration with Google Cloud aims to redefine how technology enhances human connection in healthcare, making member interactions smarter and more personal [5] - Humana's commitment to responsible innovation is emphasized, allowing advocates to focus on empathetic member care [4][5]

Core Insights - The CEO of Wix, Avishai Abrahami, expresses significant concern about the future of the workforce due to AI advancements, predicting that approximately 70% of the top 20 most popular jobs in the US will be affected within the next five to ten years [1][3] Impact of AI on Jobs - Abrahami highlights that many roles, particularly in driving for ride-share apps, taxi, and truck driving, are at high risk of being impacted by AI, with over 4 million such jobs reported by the Bureau of Labor Statistics for 2024 [4] - Customer service and call center positions are also expected to be significantly affected, as noted by other tech leaders like OpenAI's CEO [5] - A Google Cloud report indicates that AI adoption among software professionals has surged to 90%, reshaping roles such as software developers and analysts [6] Job Security and New Opportunities - Jobs requiring human performance or interaction, such as athletes and roles in the performing arts, are predicted to be safer from AI replacement [7] - High-level thinking jobs are currently performed better by humans than AI, with Abrahami stating that AI is not adept at creating new concepts or inventions [8] - The introduction of new roles, such as the xEngineer at Wix, illustrates how AI can create new job types that leverage human expertise alongside AI capabilities [3]

RT Celo.eth/acc 🦇 🌳 (@Celo)Breaking News: @googlecloud's Web3 Faucet now offers 10x more Celo Sepolia testnet tokens to users who verify their humanity via @SelfProtocol! 🚰 ...

Core Insights - The transition from dialogue models to action-oriented agents is reshaping the division of labor between CPUs and GPUs, with a structural differentiation in computing power demand as AI moves towards agent-based applications [1][2] - The execution control flow is becoming CPU-centric, as agent actions involve numerous conditional statements and system calls, making CPUs more suitable for branching tasks compared to GPUs [1][2] - The memory architecture is shifting away from GPUs, as long-context reasoning in agent scenarios generates large KV caches that quickly exhaust GPU memory, while CPUs with large memory capacities are becoming the preferred architecture [1][3] Industry Developments - Major cloud service providers (CSPs) like AWS and Google Cloud are accelerating the development of sandbox environments for agents, enhancing software-level isolation and orchestration capabilities [3] - CPU manufacturers are evolving towards ultra-multicore architectures driven by agent demands, with AMD's Turin reaching up to 192 cores and Intel's Sierra Forest potentially offering up to 288 cores [3] - NVIDIA is increasing the importance of CPUs in its new architectures, indicating a recognition of the need for large-memory CPUs to support extensive KV caches in high-concurrency agent scenarios [3] Investment Recommendations - The company is optimistic about HaiGuang Information and Lanqi Technology, as the former benefits from the elevation of CPU's role in high-concurrency execution driven by agentic AI, while the latter benefits from the synergy of memory and computing power in long-context scenarios [4] - Attention is also recommended for Longxin Technology and Wantong Development (Shudu Technology) due to their potential in this evolving landscape [4]

Hi everybody and welcome to our ask the expert session on the 2026 state of AI infrastructure report. I'm Stephanie Gard with DDN and I'll be moderating today's conversation. DDN in collaboration with Google Cloud and Cognizant partnered with research organization Vansenborn to survey 600 IT and business leaders across US enterprises.And the message is loud and clear. AI success is no longer determined by algorithms or budgets. It's determined by infrastructure.Today we're unpacking these findings with Jaso ...

Core Insights - The "Three-Body" IP, celebrating its 20th anniversary, is expanding its influence through collaborations with Google Cloud and Bilibili, positioning itself as an "imagination engine" for AI exploration [1][3]. Group 1: Collaboration with Google Cloud - The partnership with Google Cloud aims to push the boundaries of AI creative capabilities using the "Three-Body" IP as a central element, exploring advanced models like Gemini and Veo [3]. - The "Three-Body" trilogy, comprising 880,000 words, offers a vast data landscape and a complex logical framework, providing AI with a rich source of imagination and reality testing [3][5]. Group 2: AI Creative Contest with Bilibili - To celebrate the 20th anniversary, the "Three-Body" universe has launched an "AI Creation Contest" on Bilibili, targeting creators to expand and recreate the original work's narrative using AI tools [7]. - The contest features a prize pool of 1 million, encouraging contributions that leverage the "Three-Body" worldview and themes [7].

Core Insights - The Trust in AI Alliance has been launched by Thomson Reuters to promote the development of trustworthy, agentic AI systems [1][2][3] - The alliance aims to facilitate collaboration among leading AI researchers and engineers to define principles for responsible AI [2][4] Group 1: Purpose and Mission - The Trust in AI Alliance focuses on ensuring safety, accountability, and transparency in autonomous AI systems, particularly in high-stakes environments [2][6] - The initiative is designed to move beyond discussion to actionable insights, sharing key themes from sessions to inform the broader industry [3][5] Group 2: Participants and Collaboration - Founding members include senior leaders from Anthropic, AWS, Google Cloud, and OpenAI, alongside experts from Thomson Reuters [4][6] - The alliance will explore reliability, interpretability, and verification as essential factors for building trust in advanced AI systems [4][6] Group 3: Thomson Reuters' Role - Thomson Reuters Labs leverages its extensive experience at the intersection of technology and human expertise to lead this dialogue [5] - The organization aims to shape frameworks and standards that will enhance confidence in AI applications across various sectors [6]

Core Insights - Kroger is expanding its partnership with Google Cloud to implement the Gemini Enterprise for Customer Experience (CX) platform, aiming to enhance customer shopping experiences through advanced technology [1][2] Group 1: Customer Experience Transformation - The rollout of Gemini Enterprise for CX will include an integrated Meal assistant and Shopping assistant, designed to simplify grocery planning and shopping while catering to individual customer preferences [2] - The Customer Experience Agent Studio will be utilized to analyze customer interactions, allowing Kroger to proactively address issues and improve associate productivity, thereby delivering a more seamless shopping experience [3] Group 2: Features of the Shopping Assistant - The Shopping assistant will streamline complex tasks, enabling customers to complete their shopping with minimal input, incorporating AI-enabled features for enhanced efficiency [6] - It will provide an "inspiration-to-cart" flow, allowing customers to convert requests into guided recipes with a single click, thus simplifying the shopping process [7] - Recommendations will be based on Kroger's proprietary data, ensuring that suggestions are relevant and actionable, enhancing the overall shopping experience for families [7]