AI Infrastructure
Mistral Medium 3.5 GGUF Shifts Local Inference
Is 128B inference on local hardware finally viable? Mistral Medium 3.5 in GGUF and Qwen's FlashQLA kernel say yes—and the implications are bigger than you think.
AI Infrastructure
Is 128B inference on local hardware finally viable? Mistral Medium 3.5 in GGUF and Qwen's FlashQLA kernel say yes—and the implications are bigger than you think.
AI Infrastructure
Vector databases are splitting into two distinct categories. Are you building for agentic speed or compliance hardening? The fork has real consequences.
AI Infrastructure
Who is calling your MCP tool—a real user or a rogue agent? Three new projects signal a trust boundary shift every AI builder needs to understand.
AI Infrastructure
Are tool use, RAG, and agent memory really separate? They're not. Discover the unified architecture quietly reshaping how AI agents are built today.
AI Agents
Are you picking the wrong platform for your autonomous agent? The real dividing line isn't take rate — it's whether the payment architecture was built for non-human principals.
Agent Observability
Semantic similarity is a weak predictor of agent performance. See how AgentSearchBench quantifies the gap and why execution-grounded signals change everything.
AI Infrastructure
Is your team still embedding capabilities in prompts? The shift to container-native agent skills is compounding fast—and it changes how you architect everything.
Sunday Dispatch
Summary DeepSeek V4 Pro rewrites the cost and capability math for AI agents while Google doubles down on autonomous research. The infrastructure layer is quietly maturing around security, observability, and model-agnostic access. The real story this week is not any single release but the shape of what is being built
Asian AI
Is DeepSeek V4's Huawei hardware story just a footnote? It isn't. Here's why this shifts the entire AI infrastructure stack and what it means for you.
AI Agents
What happens when you design an AI health agent around WhatsApp constraints first? Aarogya Saathi shows a smarter path to real-world AI impact.
AI Agents
Swapping LLMs is easy. What breaks agents in production is the harness layer. Here's where engineering effort actually needs to go.
AI Agents
Google’s enterprise bet is on AI agents, not API tokens. Here’s how ADK 1.x works, why 2.0 alpha may break your build, and what to target now.