Archive

Explore why artificial intelligence predominantly uses static neuron activations instead of more biologically accurate dynamic neurons. This analysis delves into the computational challenges, training instability, and practical trade-offs driving AI's architectural choices.

Explore fascinating technologies and products that were abandoned before their time, from groundbreaking operating systems to visionary web platforms, and learn why their potential was never fully realized.

Explore the core reasons why most people aren't interested in open-source software and effective strategies for wider adoption, focusing on user benefits over ideology. Learn how to promote FOSS by highlighting practical advantages like privacy, cost savings, and superior user experience.

Discover the core principles that make content truly appreciated and widely shared. Learn how authenticity, clarity, depth, and audience focus can elevate your creations.

Discover a gripping personal account from Ukraine where an act of concern for a detained relative led to blame, alongside a fascinating discussion on using AI for authentic storytelling. Explore the challenges of trust, morality, and transparent communication in difficult times.

Explore the fundamental question: if major diseases like cancer were cured, would you prioritize maximizing your lifespan through strict habits, or focus on the enjoyment and quality of your life?

Explore top resources and hands-on approaches to building your own toy Large Language Model from scratch, gaining deep insights into its fundamental components like tokenization and attention.

Are your LED bulbs failing too soon? Discover why robust failure statistics are missing from the consumer market, leading to a frustrating "market for lemons" for lighting.

Despite soaring claims of 10x to 1000x productivity boosts in software development from advanced AI, real-world evidence remains scarce. Explore why many are skeptical of 'PhD-level' AI and how economic structures might impact actual productivity gains.

Explore whether mathematical algorithms represent "leaky abstractions" compared to software engineering practices. This analysis delves into the definition of abstraction across disciplines.