iFeeling Daily
Daily curated AI insights you can't miss.
GLM-5.2: Open 1M-Context Model for Long-Horizon Agent Tasks

GLM-5.2 is the first open-source model to make 1M-context genuinely usable for long-horizon coding agents, trailing only Opus 4.8 on FrontierSWE and Terminal-Bench 2.1 while beating GPT-5.5 and Gemini 3.1 Pro. Its IndexShare architecture cuts per-token FLOPs by 2.9× at 1M context, and the anti-hack RL training stops reward hacking without crashing rollouts.
UK’s shift from AI potential to agentic enterprise production

This article tracks the UK's shift from AI experimentation to agentic enterprise production, anchored by Google Cloud's partnerships with HSBC, Ineffable Intelligence (record $1.1B seed), and public sector tools reducing document processing from two hours to two minutes. For builders, the key insight is that agentic systems require the full integrated stack—silicon, models, and infrastructure—not just frontier models.
Google Named Leader in 2026 IDC MarketScape SIEM Assessment

Google was named a Leader in the 2026 IDC MarketScape for Worldwide SIEM, highlighting its vertical AI integration from silicon to Gemini models. The Triage Agent and unified data lake address legacy performance issues, with a customer report of 97% reduction in alerts. Builders should evaluate how tightly AI and infrastructure are coupled.
How Siemens Modernized Legacy Code with Agentic Workflows

Siemens and Google Cloud's Knowledge Fabric shows how to tame massive industrial codebases by combining knowledge graphs, multi-agent workflows, and human oversight—turning a decade-old modernization nightmare into a manageable, scalable process.
Graph Technologies Underpin Yahoo’s System of Action

Yahoo's Seller Agent, built on Google Cloud's graph technologies, shows how a dual-graph architecture—a knowledge graph for grounding and a context graph for auditability—lets agentic AI operate at speed while maintaining regulator-grade transparency. The blueprint applies broadly to any high-stakes industry.
Google’s New Data Agents and Tools for the Agentic Data Cloud

Google's Agentic Data Cloud announcement tackles the core problem of grounding AI agents in enterprise data with near-100% accuracy, shipping a suite of new data agents, conversational analytics across multiple databases, and managed MCP servers—making it easier to build secure, context-aware agents without hosting your own infrastructure.
Open Knowledge Format: A Portable Standard for AI Context Sharing

Open Knowledge Format (OKF) is an open specification that turns scattered internal knowledge into portable markdown files with YAML frontmatter, enabling AI agents and humans to share context without vendor lock-in or complex integrations.
Looker Dashboard Agents 预览:对话式 BI 直接嵌入仪表板

Traditional dashboards provide static views that break down when users need to ask follow-up questions or explore beyond pre-built metrics. This forces business users to either interrupt their workflow or queue requests for data analysts, creating a bottleneck in agile decision-making. Looker dashboard agents tackle this tension by embedding an intelligent conversational layer directly inside the dashboard interface, letting users ask natural-language questions without leaving the tool.
OpenAI acquires Ona to give Codex agents persistent cloud execution

OpenAI is acquiring Ona to give Codex agents persistent, secure cloud environments where they can work for hours or days, not just minutes. For organizations moving agents into production, this means agents operate inside the org's own cloud with controlled credential scoping, logging, and review, while OpenAI provides the orchestration.