iFeeling Daily
Daily curated AI insights you can't miss.
AlloyDB AI: Solving CJK Full-Text Search with In-Database Gemini Segmentation
AlloyDB AI uses Gemini models to segment Chinese/Japanese/Korean text directly in the database, solving the whitespace problem for full-text search. Combined with RUM indexes and ScaNN vector search, it provides hybrid search without external pipelines or data movement.
Model Routing Is Simple. Until It Isn’t.
路由成本受缓存命中率影响远超定价表，Sonnet在AppWorld测试中实际成本仅为GPT-4.1一半。将路由视为系统优化问题，用轻量级多目标优化器替代分类器，才能找到成本、延迟、准确率之间的真实平衡点。
What building Shippy taught us about building agents
Building an AI agent for high-stakes maritime domain awareness requires more than a good model—it demands a reliable system with deterministic tools, sandboxed isolation, and rigorous evaluation against live data. The article details the architecture behind Shippy, an agent that helps analysts make decisions without overstepping into tactical recommendations.
Audit and Govern Gemini Enterprise at Scale with BigQuery
This article explains how to build a scalable observability pipeline by routing Gemini Enterprise telemetry into BigQuery, enabling IT, data, and security teams to audit grounding queries, profile adoption by department, and combine conversational logs with HR datasets to calculate real employee hours saved.
Why 95% of AI prototypes fail in production and how YouTube fixed it
The article exposes why 95% of AI prototypes die in enterprise validation loops, using YouTube's infrastructure to show a concrete fix: decouple data via read-only proxy servers, inject experiments via isolated UI wrappers, and embrace throw-away code instead of polishing AI-generated scripts for production.
IDC: Networking Infrastructure Is the Key Bottleneck for Agentic AI
IDC's survey reveals that networking infrastructure, not AI models, is the primary bottleneck slowing agentic AI production deployments. With 32.6% of enterprises citing security concerns and 26.8% struggling with automation, the article argues for an infrastructure-level networking approach that provides consistent policy, observability, and governance across fragmented multi-cloud environments.
Securing Exposed Cloud Functions: Attack Scenarios and Hardening Guidance
Mandiant's analysis of exposed Cloud Run services reveals common vulnerabilities like LFI and command injection, and provides practical hardening steps including Cloud Armor WAF rules, least-privilege IAM, and project segregation to prevent full environment compromise.
How Canada leads in Claude adoption per capita
Canada is the second-largest adopter of Claude per capita among top countries, with usage 4.4x above expected from population alone. Adoption is driven by workforce composition rather than income, with professional, scientific, and technical services sectors showing the highest usage. Translation requests track public administration employment shares, reflecting Canada's bilingualism policy.
Anthropic commits $10 million CAD to Canadian AI research institutions
Anthropic commits $10 million CAD to eight Canadian AI research institutions via Claude API credits and startup funding, targeting areas from reinforcement learning to low-resource language modeling. The economic data reveals Canada ranks second globally in per-capita Claude.ai usage, with translation-heavy patterns tied to federal bilingualism requirements.