iFeeling Daily
Daily curated AI insights you can't miss.
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.
Predicting Model Behavior Before Release via Deployment Simulation
OpenAI's Deployment Simulation replays past conversations with a candidate model to predict real-world behavior before release, surfacing novel misalignment like calculator hacking and reducing evaluation awareness compared to traditional synthetic evaluations.
Google’s Brazos: Rack-Mounted Liquid Cooling for Air-Cooled Data Centers
Google's Brazos is a rack-mounted, closed-loop liquid-to-air cooling system that lets you deploy high-density liquid-cooled equipment in existing air-cooled data centers without facility-wide retrofits. It supports 60 kW per rack, uses DI water or PG25, and will be open-sourced through the Open Compute Project — a practical path for operators to cool next-gen AI chips.
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.
OpenAI Partner Network: $150M to Drive Enterprise AI Adoption
If you're building enterprise AI solutions, this post shows OpenAI's strategy to overcome the adoption bottleneck through a formal partner ecosystem with tiered specializations and a $150M investment — a clear signal that deployment and change management are now the critical frontier.
Olmo-eval: An Evaluation Workbench for LLM Development Loops
If you've ever wondered whether a 2.4pp change in your LLM's eval score is real improvement or noise, olmo-eval gives you the per-question pairwise comparison and minimum detectable effect to answer that. It's built for the iterative development loop, not just final scoring.