Ideas Weave Every Narrative with AI.
The obsession with longer context windows is a dead end for local AI. The real solution is to treat context as addressable, evictable memory—just like operating systems did decades ago. Learn why paging, locality, and eviction are the forgotten secrets that make small models punch above their weight.
An AI wrote a complete Mac-like OS in real-mode assembly for the IBM XT, proving that low-level systems programming is no longer out of reach for AI. This isn’t a nostalgia trip — it’s a signal that the future of AI lies in the most constrained environments, from embedded systems to legacy hardware.
Compiling a 30-year-old browser on modern Linux isn’t just nostalgia—it’s a forensic investigation into how software assumptions decay. Every patch reveals a forgotten dependency, a 32-bit assumption, a world without SSL. The real output is a map of computing history, not a working browser.
C-Kermit just got its first new release in 15 years at 45 years old. While Silicon Valley chases AI and hype, this ancient toolchain proves that maintenance is the most radical form of resistance. The real story isn’t the update — it’s what it teaches us about progress, commitment, and software that refuses to die.
The Apple Lisa was a commercial disaster, but a new FPGA resurrection reveals it was actually a visionary product whose software and UI innovations directly shaped modern computing. The failure was one of timing, not engineering. This is the story of the most influential computer you’ve never used.
A 13th gen i5 laptop simulates a 1970s 6502 processor at 4.1 Hz. That’s slower than a snail, but it’s the most enlightening computer experience you can have. The gate-level simulation reveals every transistor’s state, turning the black box of modern computing into a transparent window. Slow down to speed up your understanding.
Restoring 1960s vintage computers isn’t just nostalgia—it’s a radical knowledge recovery. Modern abstraction layers have hidden the foundational principles that early engineers built with. By reviving these machines, we uncover forgotten trade-offs and constraint-based thinking that today’s innovation desperately needs. Hands-on restoration teaches what no simulation can: the real physics and logic of computing.
The Apple Lisa was a $10,000 commercial flop. But an open-source FPGA project has resurrected it as a permanent, cycle-accurate digital artifact. This isn’t emulation—it’s hardware preservation that outlasts physical chips. A failed computer finally becomes immortal.
A weekend spent running Windows 2000 on a DEC Alpha through a new emulator fork reveals more than nostalgia. It’s digital archaeology: a chance to touch a forgotten era of computing when the future felt open-ended. Forget the hobbyist label — this project preserves a unique software-hardware dependency that would otherwise be lost to time.