Ideas Weave Every Narrative with AI.
You fed gigabytes of data to an AI, and it generated a flawless 50-page report. Leadership still said it lacked insight. The problem isn’t your AI model—it’s your garbage data infrastructure. If your sales team tracks leads in WeChat, no algorithm can save your business analysis.
LLMs sound brilliant at engineering but have zero spatial reasoning. The more fluent the suggestion, the more dangerous. The fix isn’t a better world model—it’s forcing the AI to output executable geometry (OpenSCAD, build123d) and rendering it for external validation. Stop trusting the words; start testing the shapes.
AI’s superhuman abilities are a mirage: they only work where the scoreboard is cheap to build. The real bottleneck is the cost of verification, not intelligence. Every dazzling demo hides the expensive, messy reality of high-stakes tasks.
LLMs don’t predict the future — they amplify the cultural biases, sci-fi tropes, and historical patterns embedded in their training data. Every forecast is a mirror of our collective imagination, not an objective look ahead. The real value of asking an AI about tomorrow is uncovering the assumptions we hold today.