July 15, 2026
Code, Cash, and Comment Chaos
Must actively fund open source AI [pdf]
Open AI for all? Commenters are split between public good and taxpayer revolt
TLDR: The essay says open AI needs real funding now, arguing that shared software once built the modern internet and could do the same for artificial intelligence. Commenters were deeply split: some want public money spent on basic social needs instead, while others say open projects need cash incentives or they’ll lose to big companies.
A veteran tech voice is sounding the alarm: the same way open software helped build today’s internet, open AI could shape the future—if it doesn’t get locked away first. In the essay, he recalls being talked into the open-source worldview by Richard Stallman, the famously intense champion of “software freedom,” and argues that today’s biggest AI systems are repeating the old mistake of hiding the good stuff behind corporate walls. His warning is simple: if the smartest tools stay secret, fewer people can learn from them, improve them, or keep the field honest.
But the comments? Absolute popcorn material. One camp basically said, “Cool speech, but maybe fund childcare, healthcare, and school lunches before throwing public money at a technology people already distrust.” That take landed like a chair toss in the middle of the thread. Another group was more pragmatic than romantic: open projects are nice, they argued, but goodwill doesn’t beat payroll, and paid commercial teams will almost always outrun hobbyists.
Then came the policy nerds with a game-show twist: why not offer cash prizes for anyone who can build strong open AI that runs on smaller machines? Others pushed back on the essay’s core metaphor, saying closed products can still teach the world through research papers and shared ideas—you don’t always need to see every line under the hood. Even the title got its own mini side quest, with one commenter dropping an alternate link like the thread’s unpaid hall monitor. In other words: same old internet story—big ideals, bigger skepticism, and commenters ready to litigate every last dollar.
Key Points
- •The article recounts how the author shifted from supporting proprietary software to endorsing open source after extended debates with Richard Stallman at the MIT AI Lab.
- •The piece credits the free software movement and later open source with producing foundational technologies including GCC and GNU/Linux.
- •It states that open source prevailed over earlier security objections because transparency enabled broad review and faster problem fixing.
- •The article argues open software also served as a training ground for generations of engineers by exposing how systems are built.
- •It warns that frontier AI models are becoming increasingly closed even though AI methods are still developing and open alternatives remain limited.