In April 2026 the private LLM Mythos, said to spot dozens of 0‑days, sparked fears that powerful AI tools could be locked behind paywalls. The author, a lifelong coder, argues that the shift toward expensive, GPU‑bound models threatens the open‑source spirit that once democratized programming for developers worldwide and hobbyists alike everywhere in all today.

The writer recalls starting with QBasic on a dusty MS‑DOS machine, learning PHP on a cracked XP box, and eventually mastering GCC on a Pentium II. Back then, compilers like Watcom C/C++ cost around $1000, and AT&T Unix source ran for $10 000—prices that kept most hobbyists out of the loop for development in that era today.

Today, running an LLM locally demands GPUs and RAM that most developers lack. Closed‑weight models force users to switch providers and pay per use, while free plans become throttled. The author warns that if tooling costs rise, the inclusive culture that drove open‑source will erode, leaving only well‑funded teams for software development today everywhere again.

The piece closes with a stark reminder: as AI‑first workflows creep into every stack, the same barriers that once kept large firms ahead may return to the era of proprietary tools. If the industry cannot keep costs low, millions of budding programmers risk being left behind forever for future innovation in technology worldwide today again.