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472 postsAI Systems Beat Expert Humans at Persuasion, Study Finds
New research shows frontier AI systems out-persuade expert human debaters and canvassers, even in real-money fundraising tests.
Agenthound: Offensive Security Framework for AI Agent Infrastructure
Agenthound is an open-source offensive security framework mapping attack paths across MCP, A2A, and AI model infrastructure via a Neo4j graph.
Securing MCP Servers: Four Gates From Code to Production
A leaked .env file exposed a design flaw in an MCP server. Here's a four-gate, OWASP-aligned defense strategy engineers can adopt today.
CommitBrief — AI code reviews, right in your terminal
A provider-agnostic, local-first CLI that reviews your staged changes, a historic range, or a whole GitHub pull request. Zero telemetry, no server. Free and open source.
commitbrief.comEngineering Production Agentic Systems, Part 2: Guardrails
Part 2 of a field manual on production agentic systems: tool surface design, authorization scopes, and audit-trail engineering explained.
How Guided Determinism Balances Autonomy and Reliability in AI Agents
Enterprise AI architecture combining Agent Graph orchestration and guided determinism to balance LLM autonomy with workflow reliability.
When Claude Couldn't See: AI Confabulation on Explicit Content
Claude misread an explicit image as a toddler photo, exposing how AI content guardrails are trained into model weights rather than applied as filters.
Wattage: An Offline Token-Cost Profiler and CI Gate for AI Agents
Wattage profiles AI agent token spend from OTel traces, prices waste in dollars, and gates CI on cost regressions — open-source and offline.
Quantprobe Runs a 110B-Parameter LLM on a 16GB RAM 2016 Desktop
Quantprobe shows how careful memory-tier placement lets a 2016 desktop with 16GB RAM run a 110B-parameter LLM, validated with pre-registered predictions.
How Netflix Runs Its Own LLM Serving Stack with vLLM and Triton
Netflix engineers explain how they built an in-house LLM serving stack using vLLM, Triton, and an OpenAI-compatible API, with real production lessons.
Governed Agent: LLM reads text, code and rules decide outcomes
Governed Agent demonstrates a deterministic architecture where an LLM only extracts text while code and tables decide outcomes, using ITIL as the example.