Exploring the limits, opportunities, and risks of generative AI through a wild experiment
Meta’s Teen Accounts campaign raises ethical concerns over transparency, influencer lobbying, child safety claims, and uneven protections across markets.
Can AI replace tech CEOs? Explore the ROI, cost savings, turnover risks, and performance data driving the case for AI-led leadership.
AI security echoes open source’s old promises: without real control, isolation, and trust, prompt injection remains a built-in risk.
How encrypted prompt injection can bypass AI safety filters, trigger tool-based decryption, and turn agentic LLMs into quiet data-exfiltration risks.
A sharp take on quality fade, inflation, and wealth inequality—plus why supply-side fixes may matter more than redistribution for everyday Americans.
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 sharp, satirical take on AI security vs speed, covering prompt injection, hallucinations, guardrails, risk, and reckless enterprise adoption.
Why platform data access is essential for real oversight: without timely, usable evidence, social media safety checks become little more than corporate self-reporting.
A satirical deep dive into why COBOL is hilariously framed as the ultimate language for quantum computing, from qubits to error correction.
Balancing child safety, AI accountability, and free expression: how social platforms and xAI can combat exploitation without crushing innovation.
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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