Exploring the limits, opportunities, and risks of generative AI through a wild experiment
Companies are cutting back on AI after costly mistakes, error-filled output, and “productivity” loops that create noise, risk, and brand damage.
Read Full ArticleA close read of EY’s 2026 AI survey report suggests human-made data, but likely AI-shaped prose—especially in summaries, transitions, and takeaways.
A forensic analysis of EY’s 2026 AI governance report suggests 70–90% of its narrative prose was likely AI-drafted or heavily machine-assisted.
A sharp take on the AI doom loop: why enterprises are retreating from workplace slop, and what that means for AI-assisted analysis.
Why AI hype echoes open source’s past: prompt injection, weak instruction/data separation, and growing security risks still outpace the pitch.
A sharp, satirical guide to AI companies as iconic songs, skewering OpenAI, DeepMind, Anthropic, Meta, DeepSeek, xAI, Mistral, and Alexa.
A witty satire on Mistral AI, Serge Gainsbourg, and American chatbots, contrasting French elegance with loud, meme-fueled AI culture.
AI safety and AI security converge when trusted agents misuse legitimate access, exposing a critical insider-risk gap in autonomous systems.
AI safety and AI security are not the same. Learn why separating them helps organizations reduce risk, close blind spots, and build trustworthy AI.
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