Core Insights - Opera is introducing the Opera Deep Research Agent (ODRA) as the fourth AI agent in its Opera Neon browser, emphasizing its commitment to agentic browsing [1][2] - The Neon deep research feature aims to enhance web research capabilities by utilizing a model-agnostic AI engine that can integrate various AI models [2][6] - Opera plans to expand the number of agents in the future, allowing users to select the most relevant agent for specific tasks [3][4] Agent Functionality - The new orchestration layer, referred to as "Symphony," will streamline user interactions with multiple AI agents, allowing for a more intuitive experience [4][5] - Each agent will have distinct permissions and settings, intelligently routing user requests to the appropriate agent or combination of agents [5] - The system will learn user preferences over time, optimizing the interaction process [5] Product Positioning - Opera Neon is designed for advanced users who require more than basic browsing capabilities, positioning itself as a productivity tool [6][7] - The browser is currently available to a limited number of users through an early access program, with plans for broader availability in the future [8] - Opera aims to differentiate itself in the market by offering a unique browsing experience tailored to diverse user needs, with a focus on integrating AI solutions [7][8]

RT s4mmy (@S4mmyEth)This week we've seen a resurgence of interest around Robotics and DeFi for AI AgentsThe first boom may have seen a nasty selloff earlier this year, but builders with conviction have continued to develop viable solutionsHere's a roundup from the past week alone:- @Grayscale DeAI fund opens; TAO leading with 33.5% of its holdings- @opentensor (Bittensor) subnet registration is back with a 128 cap, meaning darwinian evolution of its underlying ecosystem; if you don't compete you'll be repla ...

DeAI roundup for this week: https://t.co/URnpruI2r9s4mmy (@S4mmyEth):This week we've seen a resurgence of interest around Robotics and DeFi for AI AgentsThe first boom may have seen a nasty selloff earlier this year, but builders with conviction have continued to develop viable solutionsHere's a roundup from the past week alone:- @Grayscale https://t.co/d8ITIGYBN3 ...

This week we've seen a resurgence of interest around Robotics and DeFi for AI AgentsThe first boom may have seen a nasty selloff earlier this year, but builders with conviction have continued to develop viable solutionsHere's a roundup from the past week alone:- @Grayscale DeAI fund opens; TAO leading with 33.5% of its holdings- @opentensor (Bittensor) subnet registration is back with a 128 cap, meaning darwinian evolution of its underlying ecosystem; if you don't compete you'll be replaced!- @bluwhaleai to ...

Crypto Fundraising Overview - The past week saw significant fundraising activity in the crypto space, indicating continued investor interest [1] - Top 10 crypto projects raised a total of $710.45 million [1] Key Investment Areas - Stablecoin L1 projects attracted substantial funding, with @tempo raising $500 million [1] - DePIN (Decentralized Physical Infrastructure Networks) projects are gaining traction, exemplified by @daylightenergy_ raising $75 million and @inference_net raising $11.8 million [1] - Solana-based projects, particularly those focused on LST (Liquid Staking Tokens) and MEV (Miner Extractable Value), are attracting investment, with @jito_sol securing $50 million [1] - CeDeFi (Centralized Decentralized Finance) solutions for cross-border payments are also of interest, as shown by @bpn_network's $50 million raise [1] - AI-related crypto projects, including AI agents and marketplaces, are receiving funding, with @4aibsc raising $6 million [1] Emerging Trends - The rise of crypto neobanks, such as @useTria ($12 million), suggests a growing demand for crypto-integrated financial services [1] - Staking-as-a-Service platforms, like @dsrvlabs ($9.55 million), are attracting investment, indicating the importance of staking infrastructure [1] - Non-USD stablecoins, such as @CrownBRLV ($8.1 million), are emerging, potentially catering to specific regional markets [1] - ZK (Zero-Knowledge) technology and data services are gaining attention, with @OrochiNetwork raising $8 million [1]

Neo Banks & Technology - Neo Banks 在中心化数据库宕机的情况下，需要考虑导出钱包和地址簿以实现自主交易的可能性 [1] - AWS 的重大中断正在影响包括主要钱包、金融科技和电子商务平台在内的多个全球服务 [1] - Tria (@useTria) 的系统受到暂时影响，但所有用户资金仍然安全 [2] AI Agents & Payment Rails - AI Agents 可能会选择使用无需许可的加密支付轨道，而不是中心化支付方式 [1] - 现实生活商品的交易是否存在中心化故障点值得关注 [1]

x402 just got embedded into google ap2 for agent payments. ai agents can't do kyc or dispute chargebacks. stripe takes 2.9% + $0.30 per transaction. agent making 10,000 $1 api calls daily loses $33,000 in fees on $10,000 of transactions. x402 settles in 1 second for under $0.01. google cloud has 10m accounts getting default x402 integration. singapore testing it for cbdc settlement. 43,000 transactions growing 50% monthly. the entire $15t agent economy needs payment rails that don't exist yet ...

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]