cracauer@
Developer
All this AI craze has a very unfortunate side effect.
For 30 years you could do open source development on a potato PC that some windows user put in the trash. If you really wanted to rebuild the godzillas (chromium, rust, electron) you could spend $1000 on a mainboard/CPU/RAM combo that made it reasonably swift. You were competitive. Somebody sitting inside Google with a ninja macho machine did not have a significant advantage over you.
With LLMs that changes. You either need a monthly subscription to an AI service (and the $20/month option doesn't reach very far), or you need hardware to run an LLM locally. You'd spend about $3500, which gets you either:
That is very much unaffordable for many volunteer developers, especially those who are still students. If your project is popular enough you can beg Anthropic for credits, but only a small minority gets those. Hopefully you have parents with some money who want to push your carreer.
And that doesn't begin to touch on the second problem here, which is that those $1000 mainboard/CPU/RAM combos are gone now, the RAM is no longer included. Thanks to AI companies driving up the prices of RAM, SSDs and HDDs. So right now you cannot afford a chromium master for non-LLM work either.
For 30 years you could do open source development on a potato PC that some windows user put in the trash. If you really wanted to rebuild the godzillas (chromium, rust, electron) you could spend $1000 on a mainboard/CPU/RAM combo that made it reasonably swift. You were competitive. Somebody sitting inside Google with a ninja macho machine did not have a significant advantage over you.
With LLMs that changes. You either need a monthly subscription to an AI service (and the $20/month option doesn't reach very far), or you need hardware to run an LLM locally. You'd spend about $3500, which gets you either:
- An NVidia 5090 (FreeBSD or Linux)
- A Strix Halo AMD Ryzen 395 system with 128 GB (unclear whether FreeBSD will do a Vulkan-backed LLM on here). This purchase also helps with compile times
- A Mac Studio with 128 GB (stuck with macOS). No longer sold by Apple, now you need a more expensive MacBook Pro
That is very much unaffordable for many volunteer developers, especially those who are still students. If your project is popular enough you can beg Anthropic for credits, but only a small minority gets those. Hopefully you have parents with some money who want to push your carreer.
And that doesn't begin to touch on the second problem here, which is that those $1000 mainboard/CPU/RAM combos are gone now, the RAM is no longer included. Thanks to AI companies driving up the prices of RAM, SSDs and HDDs. So right now you cannot afford a chromium master for non-LLM work either.