AI
Artificial intelligence, machine learning, and everything LLM
#2774: Open Data That Actually Works
The gap between open data promises and reality, and the rare cases where it actually changes policy.
#2773: Beyond Static Fallbacks: Agentic Error Handling in AI Pipelines
From try-except blocks to planning agents that route around failures intelligently.
#2755: How to Build AI Memory That Actually Works
Stop jumping to conflict resolution. The real challenge is getting data in and out cleanly.
#2741: What Theoretical Physicists Actually Do All Day
Chalkboards, arXiv firehoses, and 2 hours of real work. What the daily life of a theoretical physicist actually looks like.
#2736: Why AI Flagged Your Em Dash
Punctuation isn't a fixed system handed down by grammarians. It's a two-thousand-year story of contraction, invention, and now AI suspicion.
#2698: How Hackers Hide C2 Servers in Plain Sight
Bulletproof hosts, hijacked routers, and Discord channels — how command and control infrastructure stays up despite takedown attempts.
#2696: How Pegasus Silently Hijacks Your Phone's Microphone
How NSO's Pegasus achieves silent mic access on Android through zero-click exploits, kernel privilege escalation, and DMA buffer reading.
#2693: When AI Ignores Your Style Guide
Why your AI ignores formatting instructions and how to fix it with pipeline architecture, not model swaps.
#2692: Type Safety: Static vs Dynamic, Soundness & More
Static vs dynamic, strong vs weak, and the truth about TypeScript's unsoundness. A deep dive into type theory.
#2691: The Usability Tax of Least Privilege
Is it time to let AI agents handle your API key creation and rotation? We explore the real security tradeoffs.
#2690: Where Agent Builders Actually Gather
The MCP community, A2A protocol, and Linux Foundation are building the professional identity of agentic AI right now.
#2689: Why CLI Beats MCP for AI Agents Sometimes
Why a plain command-line tool can outperform a purpose-built MCP server for AI agents — and what that means for the protocol's future.
#2688: Intelligent Frame Extraction for Multimodal AI
Use multimodal AI and smart frame extraction to turn a walk-through video into an actionable decluttering plan.
#2687: When Pre-Flight Checks Help (or Hurt) Agentic AI Plugins
How to decide when a pre-flight check is worth the latency cost — and how to write good ones.
#2685: Plugin Data Storage for AI Agents
How to separate user data from plugin code across Linux, macOS, and Windows in agentic AI environments.
#2684: When Agent Skills Collide: Context Windows & Plugin Design
How to handle overlapping agent skills and whether context windows will ever make the problem go away.
#2683: MCP vs Agent Skills: Context Wars
When 12M token windows arrive, do MCP servers or agent skills win? Plus: federated access for agent teams.
#2682: Live Retrieval vs. RAG: What an Agent Actually Does
Does every AI conversation create a tiny vector store? We unpack the real tradeoffs between live document fetching and pre-indexed RAG.
#2677: Memory Layers for AI Agents: SaaS vs Self-Hosted
Zep, mem0, Letta, Graphiti, Cognee — which memory layer should you commit to for your AI agent?
#2676: Vector Database Schema Design for AI Memory Layers
Stop dumping vectors blindly. Design metadata schemas and namespaces for retrieval that actually works at scale.