Alan Shimel

Alan reflects on how AI and social media may be dulling our curiosity and critical thinking — and how mindful engagement could spark smarter learning.

Alan breaks down why MIT’s claim that 95% of GenAI pilots fail and Wharton’s report of positive AI ROI can both be true. From pilot pitfalls to scaling success, he explains how enterprise AI is evolving from experiments to transformation.

OpenAI’s rise isn’t just powered by AI models — it’s fueled by a bold financial engine. Alan unpacks the circular deals behind Sam Altman’s multibillion-dollar AI empire, questioning whether it’s financial genius or a high-stakes gamble built on perpetual growth.

Alan explores AI’s ultimate trick-or-treat — from automation’s sweet promises to the dark side of job loss, bias, surveillance, and cybersecurity fears.

Alan explores how SUSE Linux Enterprise Server 16 redefines enterprise Linux by embedding agentic AI directly into the OS, creating an AI-native foundation powered by the Model Context Protocol (MCP) — transforming system administration, boosting resilience and making Linux truly intelligent.

The recent headlines read like an exotic merger of Speed […]

There’s no defying the laws of gravity. I’ve been around […]

AI is in its “prove it” phase — capable of producing valuable work at scale, yet still stigmatized as second-class. Just as assembly lines once redefined automobiles, Alan argues AI will normalize, shedding skepticism and becoming indispensable across code, content, and beyond.

Alan examines the latest wave of AI doomsday headlines — from ChatGPT “passing” the Turing Test to the dead internet theory and AI factory fears. Beyond hype and alarm, he explores the real risks, environmental costs, and why history suggests resilience over apocalypse.

AI’s hidden cost is energy. Data centers already use 4.4% of U.S. electricity, projected to triple by 2028 — raising bills and straining infrastructure.