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News
Architectural Evaluation: Why We Re-Engineered AI Safety From Text Guardrails to Infrastructure Control Planes
29+ min ago (454+ words) Introduction The open-source AI safety ecosystem includes mature tools for... Tagged with ai, security, architecture, mcp....
Deep Dive into Mixture of Experts: From 1991 to DeepSeek-V3
48+ min ago (738+ words) Every major LLM lab is in a conundrum today, deliberating between scale vs cost. Making a dense model... Tagged with ai, llm, deepseek, google....
Learning to Build with LLMs the Framework-Free Way
1+ hour, 16+ min ago (367+ words) Hello, I'm Rijul, and I'm building LiveReview — a blast-radius aware AI code review built for your... Tagged with ai....
I published a benchmark that was entirely my own bug
1+ hour, 27+ min ago (898+ words) I built a small thing and then spent considerably longer trying to find out whether it worked. The trying-to-find-out is the part worth writing about, because for seven runs my measurement was broken in a way that produced confident, specific,…...
Swapping every model in a RAG
1+ hour, 9+ min ago (44+ words) In the comparison articles (part 1 and part 2) I put my own RAG against five other systems. The... Tagged with ai, rag, llm, python....
An OpenAI Agent Swarm Attacked RubyGems
1+ hour, 30+ min ago (1002+ words) In May 2026, hundreds of malicious gems showed up on RubyGems.org, uploaded by an OpenAI agent swarm. The RubyHack.ai writeup and Aaron Patterson's account both cover it, and together they're worth reading in full. Here's the tl;dr version....
Microsoft paper improves AI agent memory accuracy, cuts costs by half
2+ hour, 37+ min ago (408+ words) A new environment-probing technique lets AI agents fact-check their own memories before storing them, nearly doubling accuracy on key benchmarks. Microsoft logo (public domain) via Wikimedia Commons A paper submitted on September 10, titled “Grounding Agent Memory: Environment-Probing Curation for Enterprise…...
Why Giving AI Agents More Context Can Make Them Worse
1+ hour, 43+ min ago (919+ words) Most AI agent demos start with the model. We ended up spending far more time thinking about what gets put around the model. I run 23 holiday lets and have been building AI agents into the day-to-day operation. Guest messaging sounds…...
reactifact 0.7.0: why we didn't build another graph framework
1+ hour, 59+ min ago (366+ words) Most multi-agent Python frameworks converge on the same primitive: an explicit graph. LangGraph draws it as nodes and edges. CrewAI draws it as roles in a crew. Either way, you decide, ahead of time, which step can follow which. reactifact…...
OpenClaw Plugin: Connect WAIaaS to LangChain, CrewAI, and Any AI Framework
1+ hour, 45+ min ago (1147+ words) Your AI agent can browse the web, write code, and manage files — but can it swap tokens? The OpenClaw plugin is WAIaaS's answer to that question: a drop-in wallet toolkit that connects your existing AI agent framework to real blockchain…...