Google's John Mueller found only SEO tools were requesting markdown on his test sites. Here's what that means for your AI search strategy.
Google's John Mueller found only SEO tools were requesting markdown on his test sites. Here's what that means for your AI search strategy.
When multiple AI agents pass data between systems to run campaigns, PII and proprietary data can slip through. Four safeguards that close the gap.
OpenClaw 2.0 adds shared cloud sessions, role-based permissions, a redesigned browser UI, and sandboxed execution. Here is what changed and what enterprises still need to configure manually.
A research framework pairs Gemini 2.5 Flash with Monte Carlo Tree Search to generate production-ready code, reporting a 92% success rate on complex logical prompts versus standard zero-shot models.
A controlled study of 1,116 AI-built web apps finds that a single boot probe eliminates most launch failures at 35% of a full shell's token cost. Here is what that means for your agent setup.
A Stackademic post examines Mike Taylor's Every teardown of a fully automated consulting project, and why $62 is the number worth paying attention to.
OpenClaw is an open-source agent runtime that gives an AI model persistent access to your files, scripts, and APIs. Here is what to know about locking it down.
Pillar Security researcher Dan Lisichkin found a now-patched flaw in Google Gemini CLI that let a GitHub prompt injection reach Editor-level access on an internal Google Cloud project.
Ahrefs built a Letaido pipeline that researches, outlines, drafts, and fact-checks a near-publish-ready article in 6 to 12 minutes. They still don't mass-produce.
Researchers have shown that malicious GitHub repos and poisoned project instructions can turn AI coding agents into malware delivery systems. Here is what to watch for.
A Russian-speaking ransomware group called Aur0ra used SpaceX's Cursor AI coding tool to break into at least seven companies between April and May 2026.
Claude Opus 5 leads SWE-bench Verified at 96%, yet real-world agent deployments expose lucky passes, prompt misreads, and change hygiene failures. Here is what the numbers miss.