AI Copilot
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GEM HUNTER 💎· 2025-11-20 13:25
👀👀THE HUNTER ✴️ (@TrueGemHunter):Hunting new projects on Velvet hits different.@Velvet_Capital gives you one place to scan, research, build strategies, and catch early gems before the crowd sees them.💎 AI Copilot + multichain access makes the hunt fast and simple.If you want alpha, this is where you look. https://t.co/a8gXA8Bysk ...
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GEM HUNTER 💎· 2025-11-19 22:52
Great project VELVET ✅THE HUNTER ✴️ (@TrueGemHunter):gVelvet 💜Switching from regular DeFi to DeFAI has been a huge level up.@Velvet_Capital gives you one clean dashboard where the AI Copilot scans tokens, analyzes data, and helps you trade across chains with intent based execution.Fast research, smart automation, and the https://t.co/sV0Er5TYz8 ...
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GEM HUNTER 💎· 2025-11-19 22:52
RT THE HUNTER ✴️ (@TrueGemHunter)gVelvet 💜Switching from regular DeFi to DeFAI has been a huge level up.@Velvet_Capital gives you one clean dashboard where the AI Copilot scans tokens, analyzes data, and helps you trade across chains with intent based execution.Fast research, smart automation, and the silent Gems → $VELVET cycleEffortless and intelligent. ...
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GEM HUNTER 💎· 2025-11-19 21:32
RT THE HUNTER ✴️ (@TrueGemHunter)gVelvet 💜Switching from regular DeFi to DeFAI has been a huge level up.@Velvet_Capital gives you one clean dashboard where the AI Copilot scans tokens, analyzes data, and helps you trade across chains with intent based execution.Fast research, smart automation, and the silent Gems → $VELVET cycleEffortless and intelligent. ...
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GEM HUNTER 💎· 2025-11-19 21:11
RT THE HUNTER ✴️ (@TrueGemHunter)gVelvet 💜Switching from regular DeFi to DeFAI has been a huge level up.@Velvet_Capital gives you one clean dashboard where the AI Copilot scans tokens, analyzes data, and helps you trade across chains with intent based execution.Fast research, smart automation, and the silent Gems → $VELVET cycleEffortless and intelligent. ...
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GEM HUNTER 💎· 2025-11-19 21:01
gVelvet 💜Switching from regular DeFi to DeFAI has been a huge level up.@Velvet_Capital gives you one clean dashboard where the AI Copilot scans tokens, analyzes data, and helps you trade across chains with intent based execution.Fast research, smart automation, and the silent Gems → $VELVET cycleEffortless and intelligent. ...
深度|CB Insights69页报告精华解读:Voice AI引爆,6大趋势定义AI新战场
Z Potentials· 2025-11-18 02:51
Core Insights - The article discusses the evolution of AI Agents from assistants to autonomous agents, highlighting the transition towards fully autonomous agents by 2026 and beyond [4][11]. - It identifies four major trends in the AI Agent landscape, emphasizing the rapid growth and commercialization of AI technologies [3][17]. Market Outlook - Voice AI is leading the charge, with early GenAI companies focusing on voice AI development showing significant employee growth [6][32]. - The report notes that over 35 acquisitions in the AI Agent and Copilot space have occurred since 2025, indicating a wave of consolidation in the industry [11][28]. Financial Performance - AI Agent startups raised a total of $3.8 billion in 2024, nearly tripling the amount raised in 2023, with a shift from AI Copilots to more capable autonomous agents [17][30]. - The highest revenue-generating AI Agent company, Cursor, achieved an Annual Recurring Revenue (ARR) of $500 million, while Replit reached $150 million ARR [26][31]. Key Trends - The report highlights two primary sectors achieving large-scale commercialization: Software Development (Mosaic score of 737) and Customer Service (Mosaic score of 714) [19][20]. - Trust remains a significant barrier to the full autonomy of AI Agents, with issues related to reliability, reasoning capabilities, and access permissions being critical challenges [21][29]. Future Directions - The next wave of AI Agents is expected to focus on verticalization, targeting specific industries such as finance, healthcare, and industrial sectors [22][34]. - The emergence of Agent monitoring tools is becoming essential due to the unreliability of AI Agents, creating a new enterprise-level category [35][36]. Competitive Landscape - Major cloud players like Amazon, Google, and Microsoft are competing to dominate the AI Agent economy through various strategies, including infrastructure and open ecosystems [38].
3 Unstoppable Stocks You Can Safely Build Your Portfolio Around
The Motley Fool· 2025-11-09 09:02
Core Viewpoint - The article highlights three stocks—Microsoft, McDonald's, and Visa—as solid long-term investment options due to their strong market positions and potential for steady growth [2]. Microsoft - Microsoft holds a commanding 66% market share in the desktop operating system sector, making it a dominant player in the tech industry [3]. - The company is well-positioned to capitalize on opportunities in cloud computing and artificial intelligence (AI), with features like AI Copilot integrated into Microsoft Office [4]. - Microsoft has a market capitalization of $3,693 billion, a gross margin of 68.76%, and an operating margin of nearly 50%, indicating its financial strength and stability [6]. McDonald's - McDonald's remains a leading brand in the fast-food industry, maintaining strong brand recognition despite competition [7][8]. - The company adapts its menu to changing consumer preferences, which supports its long-term viability [10]. - McDonald's has a market capitalization of $214 billion, a gross margin of 57.25%, and excellent operating margins above 45%, reflecting its robust business model [10]. Visa - Visa is a leading name in the credit card industry, known for its strong brand presence and market resilience [11][12]. - The company reported net revenue of $40 billion for the year ended September 30, representing an 11% year-over-year increase, with operating income of $24 billion, which is 60% of its total revenue [14]. - Visa has a market capitalization of $647 billion and a gross margin of 77.31%, showcasing its high-margin business model [14].
AI日报丨高通挑战英伟达,微软在澳大利亚被起诉
美股研究社· 2025-10-28 10:24
Group 1 - Qualcomm is entering the AI data center market with new chips, AI200 and AI250, aiming to challenge Nvidia's dominance [5] - Sequoia Capital led a $750 million investment in Rogo Technologies, a startup developing AI tools to replace junior bankers, doubling its valuation since earlier this year [6] - AI startup Mercor raised $350 million at a $10 billion valuation, with plans to enhance talent acquisition, upgrade matching systems, and improve service delivery speed [7] Group 2 - Baidu's AI glasses, "Xiao Du AI Glasses," will be available for pre-sale on November 1, featuring capabilities like photography, AI translation, and AI recording [8] - Microsoft is facing a lawsuit in Australia for allegedly misleading consumers about price increases for Microsoft 365 subscriptions related to the introduction of AI Copilot, with significant price hikes noted [10] - The U.S. Department of Energy and AMD have established a $1 billion partnership to build two supercomputers aimed at addressing various scientific challenges, including nuclear energy and drug development [11]
AI日报丨芯片涨价潮来了!台积电被曝2nm价格至少上调50%,三星、SK海力士已先行涨价
美股研究社· 2025-09-25 13:06
Group 1 - The rapid development of artificial intelligence (AI) technology is creating widespread opportunities in the market [3] - The report from China International Capital Corporation (CICC) indicates that the power consumption of Nvidia's next-generation Rubin chips may increase from 1400W to over 2000W, enhancing the application of microchannel liquid cooling technology [5][6] - Huatai Securities highlights the importance of special electronic fabrics in the PCB-CCL industry chain, predicting a supply shortage for various special electronic fabric products until 2026 [6][7] Group 2 - Cathie Wood from Ark Investment Management emphasizes that AI is raising the hiring standards in asset management firms, advocating for a cautious approach to recruitment [7] - Microsoft is collaborating with Anthropic to develop AI Copilot, allowing users to switch between OpenAI and Anthropic models for enhanced functionality [8] - TSMC's 2nm process pricing has increased by at least 50% compared to the 3nm process, with significant price hikes in memory chips driven by strong demand from AI data centers [8][12]