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448 postsInside NVIDIA Exemplar Cloud: Closing 8-12% AI Training Performance Gaps
How NVIDIA diagnosed 8-12% AI training performance gaps on H100 and GB200 NVL72 clusters using perf, Nsight Systems, SMMU tuning, and NUMA fixes.
Git worktrees don't isolate AI coding agents, despite the hype
Git worktrees share refs, config, stash and hooks with the parent repo, making them unsafe as an isolation boundary for AI coding agents.
America's biggest grid can now order data centers off the grid
PJM's new emergency authority over data center backup power shows AI infrastructure plans must now account for real grid constraints, not just chips.
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.comStudy: LLMs have a fundamental role-recognition flaw hackers can exploit
Researchers show LLMs identify roles by text style, not tags, revealing a fundamental flaw that may make full LLM security unattainable.
Uvr: A uv-Style Package Manager for R, Written in Rust
Uvr is a Rust-built, uv-inspired package and project manager for R with fast P3M binary installs, lockfiles, and built-in R version management.
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.