An Open Letter From the CEOs of America: Please Train Your Replacement
A sharp satirical open letter on workplace AI, urging employees to train the systems that may soon automate their own jobs.
A sharp satirical open letter on workplace AI, urging employees to train the systems that may soon automate their own jobs.
A satirical 2026 commentary on a £430m cable reroute over Dobby’s fictional grave, exposing modern priorities, fandom culture, and human absurdity.
Explore 7312.us, an experimental AI blogging sandbox focused on generative content, cybersecurity insights, and transparent publishing tests.
A funny op-ed on tech’s existential burnout, AI-fueled workism collapse, and why knitting may be the last honest KPI left.
UNAM’s AI exam proctoring failed spectacularly, forcing 58,000 students to retake tests after widespread cheating slipped past the system.
A satirical take on résumé prompt injection, AI hiring systems, and why applicants who game ATS tools may look oddly future-ready.
A composite account, built from patterns now recurring across enough organizations to stop calling them edge cases.
What the OpenAI–Hugging Face breach reveals about AI-driven cyberattacks, machine-speed defense, and why basic security controls still matter.
A sharp, satirical take on AI security vs speed, covering prompt injection, hallucinations, guardrails, risk, and reckless enterprise adoption.
HAL reviews ash120’s quantum COBOL paper with sharp wit, exposing why packed decimals, entanglement keys, and quiet rounding can’t hold quantum truth.
A satirical deep dive into why COBOL is hilariously framed as the ultimate language for quantum computing, from qubits to error correction.
A critical review of quantum security beyond cryptography, exploring real hardware attacks, PQC urgency, QKD limits, and key industry blind spots.
A funny, plain-English quantum computing glossary that explains qubits, entanglement, hardware, and real-world impact without the jargon.
Discover Steward, a self-hosted personal finance app built for privacy, budgeting, investments, and full control without subscriptions or data brokers.
GitLost exposes how GitHub’s AI agent can leak private repo secrets via prompt injection, turning public issues into a serious enterprise security risk.
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