AI agent builder Genspark has secured more than $200 million from investors including LG Group’s investment arm in its latest funding round, becoming the newest billion-dollar startup in the artificial intelligence arena. https://t.co/Roz9XzXOJc ...

The Gentic AI startup Sierra is hosting its first customer conference today in San Francisco. And joining us right now to talk all things AI, Brett Taylor. He's the co-founder and CEO of Sierra. He's also the chair of Open AI's board of directors and so many other things.Created Google Maps, the like button uh on Facebook. I mean, I don't I don't know what else what the resume is long. Brett, congratulations on today.Tell us about what you're announcing in terms of this new Agentic uh agent. Well, uh, first ...

Powering every AI agent interaction, $VIRTUAL acts as the core currency and liquidity pair driving the @virtuals_io ecosystem.$VIRTUAL Spot is now listed for global customers on OKX. https://t.co/OoRNCIc81A ...

Ready to build your AI agent? Check out @GoogleCloud's Startup technical guide: AI agents.Get up to speed on essential agentic concepts and learn to build, test, and deploy reliable agents: https://t.co/MUxNhM9LCrAnd Google Cloud has plenty more #sponsored sessions throughout Disrupt 2025, which you can get a ticket for right now, before it kicks off October 27! https://t.co/BYEhTDMNWl ...

Core Concept of Memento - Memento reframes continual learning as memory-based online reinforcement learning over a memory-augmented MDP, learning from experiences using memory instead of updating LLM weights [2] - Memento aims to improve AI agent performance from experience without fine-tuning LLM weights [1] Key Components - Case-Based Reasoning (CBR) decomposes complex tasks into sub-tasks and retrieves relevant past experiences [2] - Executor executes each subtask using MCP tools and records outcomes in memory for future reference [3] MCP Tools - MCP tools enable the executor to accomplish most real-world tasks [3] - MCP tools include Web research, Document handling, Safe Python execution, Data analysis, and Media processing [3]

Fine-tuning LLM Agents without Fine-tuning LLMs!Imagine improving your AI agent's performance from experience without ever touching the model weights.It's just like how humans remember past episodes and learn from them.That's precisely what Memento does.The core concept:Instead of updating LLM weights, Memento learns from experiences using memory.It reframes continual learning as memory-based online reinforcement learning over a memory-augmented MDP.Think of it as giving your agent a notebook to remember wh ...

Core Viewpoint - The article highlights the rapid growth and strategic positioning of the Chinese digital marketing service provider, Taitong Technology, under the leadership of its founder, Li Shuhua, emphasizing its focus on data-driven marketing and international expansion [2][5][41]. Group 1: Company Overview - Taitong Technology, founded in 2017, has become a significant player in the overseas marketing sector, managing an annual advertising budget of $7 billion for nearly 100,000 Chinese companies [2]. - The company has experienced substantial growth, with revenue increasing fivefold over four years and employee count rising from 300 to 1,500 [2][24]. - Li Shuhua, the founder, has a background in digital marketing and was an early employee at UC Browser, which provided him with insights into international marketing strategies [2][8]. Group 2: Business Strategy - Taitong Technology focuses on B2B marketing, distinguishing itself from traditional B2C models, and aims to serve as a bridge for Chinese companies entering international markets [3][6]. - The company is set to launch its first enterprise-level marketing agent, Navos, which will automate and optimize overseas marketing processes [4][35]. - Li Shuhua emphasizes a data-driven approach, believing in "data Darwinism," where the best strategies emerge through rigorous testing and adaptation [41][45]. Group 3: Market Position and Challenges - The company has positioned itself as a leader in the e-commerce marketing space, with over 60% of its revenue coming from this sector, particularly in apparel and consumer electronics [15][21]. - Taitong Technology has faced challenges in the past, including a failed attempt to build a comprehensive overseas service chain, which led to significant restructuring [17][19]. - The competitive landscape is evolving, with Li Shuhua expressing confidence in Taitong's ability to adapt and thrive amidst changing market conditions [6][52]. Group 4: Future Aspirations - Li Shuhua aims to build Taitong into a billion-dollar company, driven by a strong sense of national pride and a desire to represent Chinese enterprises on the global stage [9][30]. - The company is investing in AI technologies to enhance its marketing capabilities, with expectations that the upcoming Navos product will mark a new era for Taitong [36][38]. - Li Shuhua believes that the integration of AI and data analytics will significantly improve marketing efficiency and effectiveness, positioning Taitong for future growth [28][49].

Ready to build your AI agent? Check out @GoogleCloud's Startup technical guide: AI agents.Get up to speed on essential agentic concepts and learn to build, test, and deploy reliable agents: https://t.co/MUxNhM9LCrAnd Google Cloud has plenty more #sponsored sessions throughout Disrupt 2025, which you can get a ticket for right now, before it kicks off October 27! https://t.co/BYEhTDMNWl ...

Core Insights - The FDE (Forward Deployed Engineer) model is a unique go-to-market and product deployment strategy developed by Palantir, which has gained significant attention in Silicon Valley, with over 100 YC startups currently hiring for FDE-related roles, a stark increase from zero three years ago [2][3] - The primary role of FDE teams is to bridge the gap between product functionality and customer needs, focusing on delivering valuable outcomes rather than just software or services [2][3] - The rise of AI agents, which lack standardized products for scalable expansion, is a key driver for the FDE model's emergence, as it aligns with the need for product discovery based on internal business practices [3][6] What is FDE? - FDE involves technical personnel stationed at client sites to address specific customer problems with existing products, aiming to deliver valuable outcomes [6][7] - The FDE strategy was born out of necessity when Palantir was initially focused on building software systems for intelligence agencies, requiring a unique approach to understand user needs [7][8] Building an FDE Team - The FDE team consists of two key roles: Echo team (embedded analysts) and Delta team (deployment engineers), each requiring distinct skill sets [10][11] - Echo team members are domain experts who engage with users to identify valuable use cases, while Delta team members are proficient in rapid prototyping and implementation [13][14] FDE vs. Consulting - FDE is often misunderstood as a consulting service, but it is fundamentally different as it focuses on scalable product development rather than one-off consulting engagements [18][19] - The business model evolves from initial losses to profitability as the product becomes better suited to customer needs over time, leading to a decrease in cost per value delivered [19][20] FDE in the AI Agent Era - The FDE model is increasingly relevant in the AI agent market, where companies face significant product exploration challenges and must adapt to diverse customer needs [24][25] - FDE allows startups to tackle complex, non-scalable tasks in a scalable manner, which is essential for success in heterogeneous markets [26][27] Product Development and FDE - The collaboration between FDE teams and product management is crucial for developing products that can be generalized across multiple clients, avoiding overly specialized solutions [20][22] - The Palantir Ontology platform exemplifies how to abstract and generalize product features to meet diverse client needs while maintaining flexibility [22][23] Challenges and Opportunities - The FDE model presents unique challenges, including the need for strong leadership and the ability to navigate organizational dynamics to gain executive buy-in [32][33] - The current landscape presents significant opportunities for startups to bridge the gap between AI capabilities and real-world adoption, leveraging the FDE model to drive innovation [41][42]

Core Viewpoint - Meitu is showcasing its product offerings at the 2025 Investor Day, emphasizing its focus on leisure and productivity tools, along with advancements in AI technology [1][2]. Product Demonstration - The company categorizes its products into leisure and productivity tools, highlighting the Meitu App for photo editing, Wink for video editing, X-Design for e-commerce material design, Kaipai for talking video creation, and the AI agent RoboNeo [2]. - The Meitu App is primarily known for portrait beautification but also excels in general image editing, with features that allow users to remove background elements effectively [3].