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I recently read Dario Amodei’s  latest essay " The Adolescence of Technology". What stayed with me was less a sense of alarm, more a sense of recognition. His central argument is measured and thoughtful: as AI capabilities advance rapidly, human systems are struggling to keep pace. The answer, he suggests, is to exercise restraint at the frontier, where increasingly autonomous and general capabilities scale risk non-linearly, while becoming far more intentional about how AI

You may be one speak away from your next opportunity. Meetings are where careers rise, stall, or go unnoticed. We often treat them as routine, even though they're leadership stages . The way you show up in the meeting — what you say, how you say it, and what others remember — shapes how people perceive your credibility, clarity, and leadership potential. So how do we speak in meetings to create impact? It starts with intention. And a willingness to evolve . My Journey: From S

When it came time to name our company, we knew we didn’t want something ordinary. We wanted a name that carried meaning—capturing both...

A year ago, I found myself in unfamiliar territory: a sudden abundance of free time. It was a strange kind of freedom—liberating in...

After completing the Coursera course  Team Software Engineering with AI , which emphasized collaborative Python development with...

A Practical Guide for Modern Developers Generative AI is rapidly reshaping how we build software—not by replacing developers, but by...

Why meaning—not just process—is the real scalability challenge in enterprise software systems Introduction: When Everything Looks Green Dashboards are green—or sometimes yellow, occasionally red. What those colors mean, however, is far less consistent. Depending on the team, the individual, and the surrounding pressures, a yellow may trigger immediate action—or quietly persist. A red may demand escalation—or be rationalized away. Pipelines are passing. Controls are in place.