Recent Posts

AI and Automation Is Quietly Dismantling the White-Collar World

I’ve spent years working at the intersection of automation, machine learning, and large-scale systems and recently there’s been a quiet shift happening in the background of our digital lives. Dario Amodei, CEO of Anthropic, recently warned [*] that AI could wipe out up to 50% of all entry-level white-collar jobs within the next five years confirming what many in tech already see coming.

Deep learning is undergoing a pivotal transformation, driven by ever-larger foundation models, multimodal breakthroughs, and a vibrant open-source ecosystem that is reshaping the boundaries of what’s possible in AI. 

I’ve been closely following the evolution of open-source AI, and it’s fascinating to see how quickly foundational models and tools are developing. What excites me the most is how these technologies are becoming more open, accessible, and collaborative. This article captures my reflections on these changes and how they might shape the future of AI.

For years, Docker was synonymous with containers, revolutionizing DevOps with portability and ease of use. But as cloud-native demands evolved, so did the ecosystem. Today, Docker remains a favorite for local development, while production increasingly embraces modular, lightweight alternatives. Here’s why modern infrastructure is moving beyond its monolithic design.

The Rise of Docker (and Containers)

Docker began in 2013 as an internal project at a PaaS company called dotCloud, founded by Solomon Hykes. The goal? Solve the headaches of environment consistency and application deployment.

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