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96 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.
Lockless MPSC FIFO queues speed up io_uring performance
Linux kernel 7.2 replaces io_uring's llist-based task queue with a lockless MPSC queue, cutting reordering overhead and boosting throughput.
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.
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.comGetting Real Prometheus Metrics Out of Nginx via OpenResty
How a team moved from nginx's four-metric stub_status to full Prometheus observability using OpenResty, solving cardinality and gauge/histogram tradeoffs.
Why AT Protocol Traded Local-First for Federated Scale
How AT Protocol replaced local-first p2p design with a federated PDS network to meet Twitter-scale replication demands.
Preventing Context Loss in AI Agents with Two-Document Pattern
Two-document pattern for AI agents: append-only log and editable index. Prevents context loss, corrects errors.
Real-Time Risk Signals for AI Agent Authorization
How SSF, CAEP and RISC feed real-time runtime risk signals into AI agent authorization, enabling automatic session revocation on anomalies.
The Lethal Trifecta Hiding in Your MCP Server, and How to Defuse It
An exploit-free attack on GitHub's MCP server reveals the 'lethal trifecta' risk in agent tooling, and the architectural fix engineers need.
Bullshit Detector: Open Agent Skills That Fact-Check Viral Videos
Open-source agent skills toolkit fact-checks YouTube, TikTok, articles and tweets, producing per-claim verdicts and a 0-10 bullshit score.
Who's Liable When AI and Doctors Share Medical Decisions?
A proposed seven-level framework classifies medical AI by autonomy, automation and scope to close liability gaps in clinical care.