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New Patterns for a Changing World By Hannes Marais “Wonders become routine, and then table stakes.” — Sam Altman Something big has happened—so big, many of us barely noticed. Over the past few years, artificial intelligence has quietly become a major part of how we live and work. We now

By now, most people have heard of tools like ChatGPT or DALL·E—AI systems that can write essays, answer questions, generate images, code, summarize documents, and more. These tools, while impressive, still feel like “helpers,” not decision-makers. They wait for you to tell them what to do. But a

There’s a hum beneath organizations now. A silent acceleration. Not in morale or mood—those still stumble in their old familiar rhythms—but somewhere deeper: in thinking, in speech, in drift. Invisible, except in how leadership suddenly feels… late. Not wrong. Not misinformed. Just out of sync. This isn’

Over the past year, the world has witnessed the emergence of a new breed of large language models designed not just to mimic speaking—but to simulate something deeper: thinking. These so-called Large Reasoning Models (LRMs) arrive outfitted with “chain-of-thought” capabilities: long, deliberative traces of inference, logic, and self-correction. They

I am curious what would happen if we paid attention to the patterns that emerge after the lights go out and the dashboards go dark. What if AI’s silent work—its organizing logic, its invisible routines—became part of our collective memory, not just an overlay or optimization, but

The Wastes don’t scream. They watch. The sun, if it could still be called that, hung like a holed pixel in the yellowed sky. The air shimmered not from heat—but from distortion. Radiation. Scrap interference. Old signal ghosts. Calder Rix sat atop a stuttering hoverbike that wheezed more

There’s a moment in every C-suite career that never makes the quarterly memo. A moment where leadership isn’t about calculated ROI or pristine analytics, but a gut call—quiet, pre-verbal, and usually made in a fog of partial information. Memos will later reconstruct it with metrics, clean it