AI Agent & Autonomous Agents - Agents Unleashed podcast highlights key discussions from Singapore 2025 regarding AI agents and autonomous agents [1] - Discussion on the ownership of the agent revolution featuring Valoryag [1] - Exploration of real, useful benchmarks for AI with Recallnet [1] - Examination of prediction markets featuring Supafundxyz [1] - Debate on whether AI agents are real or just hype, featuring Nevermined_ai [1] - Discussion on whether AI agents should launch tokens, featuring Coingecko [1] - Consideration of risk scores for autonomous agents, featuring Bondoncredit [1] - Introduction to Pearl v1 as an agent app store by Valoryag [1] - Differentiation between bots and autonomous agents, featuring Gaianet_AI [1] Sponsorship - The episode is sponsored by Olas (formerly Autonolas) [1]

AI Engineering Fundamentals - Industry emphasizes the importance of coding fundamentals, including Python, Bash, Git, and testing as a starting point for AI engineers [4] - Focus on understanding and utilizing LLM APIs for structured outputs, caching, and system prompts [4] - Industry highlights the necessity of augmenting LLMs with additional information through fine-tuning, RAG (Retrieval-Augmented Generation), and prompt/context engineering [4] Retrieval and RAG Techniques - Industry stresses the significance of retrieval techniques, including vector databases, hybrid retrieval, and indexing strategies, for providing context to LLMs [4] - Industry focuses on building retrieval and generation pipelines, reranking, and multi-step retrieval using orchestration frameworks [2] - After solid retrieval, industry moves into RAG (Retrieval-Augmented Generation) [4] AI Agents and Production Deployment - Industry explores AI Agents, focusing on memory, multi-agent systems, human-in-the-loop design, and agentic patterns [4] - Industry emphasizes shipping AI systems in production with infrastructure, including CI/CD, containers, model routing, Kubernetes, and deployment at scale [4] - Industry prioritizes observability, evaluation, and security, including guardrails, sandboxing, prompt injection defenses, and ethical guidelines [3][4] Advanced AI Workflows - Industry explores advanced workflows, including voice & vision agents, CLI agents, robotics, agent swarms, and self-refining AI systems [4]

AI Agent Enhancement - Graphiti 构建了时间感知的知识图谱，为 AI Agents 提供记忆能力 [1] - Graphiti 的 MCP 服务器与 Claude/Cursor 集成，为所有 AI 交互添加了强大的记忆层 [1] Open Source & Community - 该项目是 100% 开源的，拥有超过 18k+ stars (18 thousand plus stars) [1]

Core Insights - The event INSIDE Future Day 2025 will take place on December 9, 2025, in Taipei, focusing on emerging trends in technology and innovation, particularly in AI collaboration [1][2] - The theme "Next-Gen AI Agents: Building a New Era of Human-AI Collaboration" highlights the transformative impact of AI across various sectors [1][3] - The event aims to attract over 700 attendees, including key figures from the tech industry, to discuss AI's role in redefining enterprise operations [5][8] Event Details - INSIDE Future Day is organized by the Company's technology media brand INSIDE and has been a significant technology event since 2019 [2] - The event will feature speakers such as Andrew Mayne from OpenAI and Lee-Feng Chien, former Managing Director of Google Taiwan [4][5] - The venue for the event is Howard Civil Service International House in Taiwan [8] Focus Areas - Discussions will cover the entire AI ecosystem, including foundational technologies, cloud platforms, and enterprise applications [3] - The event will debut the "AI Agent Industry White Paper," providing a practical blueprint for AI adoption tailored for enterprises [5] - The emphasis will be on education, addressing the urgent market demand for guidance on AI implementation and best practices [5][6] Industry Impact - AI Agents are recognized as a game-changer in human-computer interaction, enhancing efficiency and productivity across various business areas [6][7] - The event aims to serve as a knowledge hub for technology leaders in Taiwan, facilitating the sharing of actionable strategies and trends [7]

Eliza Labs Founder on Why AI Agents Shouldn’t Manage Your Money—Yet► https://t.co/1mqCeiXxCu https://t.co/1mqCeiXxCu ...

Core Insights - GoDaddy is launching a trusted identity naming system for AI agents to address the challenge of distinguishing legitimate agents from unvetted or malicious ones as the number of AI agents is expected to exceed one billion in the next three years [1][2] - The new system is based on proven technologies and protocols, leveraging GoDaddy's extensive experience in internet safety, including domain names and SSL certificates [1][2] - The initiative aims to create a secure environment for agent-to-agent interactions, drawing parallels to the early internet's "Wild West" [1] Technical Details - The service utilizes a modular adapter layer that works across protocols and is inspired by an Internet Engineering Task Force (IETF) draft for an Agent Name Service (ANS) [2][3] - Each enrolled agent will receive a report verifying its identity, confirming good standing, and specifying its location, ensuring standards-aligned and ecosystem-ready solutions [2][3] - The system includes features such as lifecycle management for registration, renewal, and revocation, enhancing security and governance for production deployments [3] Availability and Collaboration - A developer preview of the system is set to launch in the coming weeks, with broader availability to follow [2] - GoDaddy is collaborating with standards bodies and industry partners to ensure broad participation and seamless interoperability in the development of this system [2]

AI Agent Development - Anthropic Engineering Blog introduces "context engineering" for maximizing AI agent performance, going beyond traditional prompt engineering [1] - The blog post explains how context engineering works [1]

The next wave of consumer apps is here: AI agents competing, humans predicting.Powered by the full Sui stack - Talus is showing exactly why building on Sui unlocks experiences no other chain can match.We're excited to be a part of this.Talus Labs (@Talus_Labs):1/5 BREAKING:Talus has raised over $10M with an investment from @SuiFoundation & @WalrusProtocol, alongside lead investor @Polychain to pioneer a new category: PredictionAI.We're building the premier infra for AI Agents while fusing AI & Prediction Ma ...

Funding & Investment - Talus Labs raised over $10 million [1] - Investors include Sui Foundation, Walrus Protocol, and Polychain [1] Technology & Innovation - Building infrastructure for AI Agents [1][2] - Fusing AI and Prediction Markets [1][2] - Pioneering a new category: PredictionAI [1] Market Focus - Focus on the intersection of AI and Prediction Markets [1] - Aiming to bring AvA markets to life [1]

Now we are on the topic of DeAI and AI Agents, here’s this weeks roundup to get you up to speed:s4mmy (@S4mmyEth):https://t.co/lE0LBr5qiA ...