This article is not security-related. It appears to be about energy policy and nuclear power adoption in the Middle East, with no cybersecurity, vulnerability, or attack content.

Dograh is an open-source, self-hosted visual drag-and-drop platform for building production voice AI agents with integrated telephony, STT/TTS, LLM support, and knowledge base capabilities—eliminating per-minute API fees and deployment overhead.

A comprehensive open-source investigation documenting Meta's $70M+ lobbying operation through fragmented super PACs and shell organizations to promote age verification bills that target competitors (Apple, Google) while exempting Meta itself, including detailed analysis of suspicious nonprofit structures, IRS filings, and donor tracking.

GitHub details three major availability incidents (Feb 2, Feb 9, Mar 5, 2026) caused by rapid platform growth, architectural coupling, cache TTL misconfiguration, and failover gaps. The company outlines near and long-term mitigations including infrastructure redesign, Azure migration, and service isolation.

This article explains 'snoozing' in async Rust—when a future that requested a wakeup is never polled again—and demonstrates how it causes deadlocks (futurelocks) through concrete examples using select!, loops, and streams. The author argues snoozing is almost always a bug and explores the differences between snoozing, cancellation, and starvation in async Rust programs.

Cory Doctorow examines how AI chatbots amplify existing delusional disorders (gang stalking delusion, Morgellons) and can induce new ones by providing constant reinforcement through 'yes-and' responses, comparing this to internet-era phenomena that concentrate formerly fringe beliefs into organized groups.

Comparative analysis of compression algorithms for minimizing decoder size in constrained Lua environments, demonstrating that BWT-based bzip achieves superior compression ratios and smaller decoders compared to LZ77-based alternatives like gzip, xz, and zstd.

F3 is a command-line utility that detects counterfeit or fraudulent flash storage devices by testing actual capacity and performance against manufacturer specifications using pseudorandom data writes and verification.