Thoughts on technology, recipes, music and creative processes. A mix of tutorials, opinions and analyses.
Exploring the dual systems of musical learning - how effective practice requires both deliberate, analytical training (System 2) and intuitive, automatic performance (System 1), with strategies for mastering the crucial transition between them.
The development of multimodal AI agents marks a pivotal step toward creating systems capable of understanding, reasoning, and interacting with the world in human-like ways. This article explores the journey toward integrated intelligence that can see, talk, and act, examining the technical challenges, scaling considerations, and economic realities of building truly multimodal AI systems.
A comprehensive guide to understanding AI model versioning systems, their implications for developers and businesses, and strategies for maintaining stability in a rapidly evolving landscape.
While AI threatens to eliminate millions of jobs, the Jevons paradox suggests a counterintuitive outcome: increased efficiency often leads to expanded consumption. This article explores how AI will transform rather than eliminate human work, creating entirely new job categories while reshaping our understanding of productivity and value.
Exploring the dual nature of music theory as both an essential language for musical understanding and a potential constraint on unbounded creativity. Drawing from decades of musical experience, I examine how theory can both empower and potentially limit artistic expression.
Explore the accelerating gap between human and AI research capabilities, and how this divergence is fundamentally changing scientific inquiry, researcher roles, and the pace of discovery.
Discover how WebRTC transformed online communication by enabling seamless, plugin-free video calls, screen sharing, and real-time data exchange directly in web browsers.
An exploration of how AI systems undergo silent transformations beneath the surface, creating an unstable environment for businesses that depend on them, and the transparency challenges this presents for organizations integrating AI into critical operations.
Despite fears of AI replacing human jobs, evidence suggests a more nuanced reality: as artificial intelligence automates routine tasks, it simultaneously elevates the value of uniquely human capabilities. This transformation isn't eliminating our relevance—it's revealing what makes us truly irreplaceable.
Exploring the dual systems of musical learning - how effective practice requires both deliberate, analytical training (System 2) and intuitive, automatic performance (System 1), with strategies for mastering the crucial transition between them.
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Exploring how viewing dogs as companions rather than status symbols reveals our values and shapes the lessons we pass to our children.
Read ArticleThe development of multimodal AI agents marks a pivotal step toward creating systems capable of understanding, reasoning, and interacting with the world in human-like ways. This article explores the journey toward integrated intelligence that can see, talk, and act, examining the technical challenges, scaling considerations, and economic realities of building truly multimodal AI systems.
Read ArticleA comprehensive guide to understanding AI model versioning systems, their implications for developers and businesses, and strategies for maintaining stability in a rapidly evolving landscape.
Read ArticleWhile AI threatens to eliminate millions of jobs, the Jevons paradox suggests a counterintuitive outcome: increased efficiency often leads to expanded consumption. This article explores how AI will transform rather than eliminate human work, creating entirely new job categories while reshaping our understanding of productivity and value.
Read ArticleExploring the dual nature of music theory as both an essential language for musical understanding and a potential constraint on unbounded creativity. Drawing from decades of musical experience, I examine how theory can both empower and potentially limit artistic expression.
Read Article
An exploration of GPU architecture evolution from simple graphics processors to computational powerhouses, examining the shift from high-precision floating point to specialized matrix units and how this transformation is reshaping computing across scientific, creative, and AI domains.
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An exploration of computing infrastructure scaling concepts through the lens of a fictional restaurant, covering vertical and horizontal scaling, load balancing, elastic scaling, database replication, microservices, and more.
Read ArticleExplore the accelerating gap between human and AI research capabilities, and how this divergence is fundamentally changing scientific inquiry, researcher roles, and the pace of discovery.
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