In October 1967, Life Magazine published an article exploring how computers functioned and speculated on the possibility of creating learning machines modeled after the human brain’s complex neural network. It highlighted the brain’s interconnected neurons and feedback loops, contrasting them with the more linear pathways in computers, and noted the immense technical and conceptual challenges in replicating human-like learning in machines. Despite early optimism, the article conveyed skepticism about programming such machines to reason or learn autonomously, emphasizing the vast unknowns in brain function and computer programming of the era.

https://blog.jgc.org/2026/06/the-eerie-interface-of-man-and-machine.html

The 8086’s segmented memory architecture was an innovative solution to extend addressing beyond 64KB using familiar 16-bit registers combined with segment registers, enabling backward compatibility with 8080 code. However, developers preferred treating memory as a flat continuous space rather than true segments, which led to widespread use of normalized pointers and ultimately limited the architecture’s scalability. Intel’s original vision of opaque segment selectors could have sustained the design longer, but the practical demands and shortcuts taken by software broke this ideal, influencing the evolution of x86 memory management.

https://owl.billpg.com/8086-segmented-memory-was-a-good-idea-almost/

Michael Enger reflects on his lifelong passion for computers, starting from his childhood encounter with a 1990s IBM 486 running Windows 3.0, through his immersion in early tech magazines and the pre-Internet era, to his deep engagement with programming and online exploration. He discusses how computers shaped his identity and career amid shifting tech cultures, lamenting the current commercialization and gatekeeping of technology while remaining hopeful about grassroots, decentralized alternatives and his enduring love for computing.

https://michaelenger.com/blog/i-love-the-computer/