@bekkaboo@girlcock.club Linux itself is heavily using AI models. Therefore, every Linux distribution moving to recent kernel versions is heavily built on top of using AI models. Creating a Linux distribution not heavily using it would require a hard fork of the Linux kernel and many other projects.
It's unclear what would be accomplished by banning AI for a tiny portion of the code while continuing to use Linux, AOSP, Chromium and hundreds of other projects heavily using it. We'd still be benefiting from it.
GrapheneOS is currently defending its use of AI coding tools on Mastodon against complaints by various accounts claiming to be users.
We do not understand where you’re coming from or why you’re so incredibly angry with us. It’s not justified and does not make sense.
Like every other recent bubble, the output is not monolithic and uniform. Like all before it, all the stupid/silly/wasteful use cases will dry up, and something will remain, but nothing like what we see at the apex of the hype cycle.
See the dot-com and crypto bubbles for the most directly applicable examples. Both yielded useful technological advancements still in use today, but those are only a fraction of a speck of a ghost of the use cases being touted at their peak.
People don’t really understand this yet. There are LLMs that can do useful work running locally on 5 year old laptops (ok, only if it’s a Macbook Pro, but still). Qwen on consumer hardware isn’t close to Claude Code using cloud models, but it can do real work and this is the floor, the absolute minimum of AI we will have going forward. No matter what happens to the industry and the bubble, it will not go away. With any other outcome other than a total collapse of the bubble, AI will be more powerful than that.
People still seem to think AI is a fad that will go away. I don’t see this happening (for code) at all. Not ever
Like every other recent bubble, the output is not monolithic and uniform. Like all before it, all the stupid/silly/wasteful use cases will dry up, and something will remain, but nothing like what we see at the apex of the hype cycle.
See the dot-com and crypto bubbles for the most directly applicable examples. Both yielded useful technological advancements still in use today, but those are only a fraction of a speck of a ghost of the use cases being touted at their peak.
People don’t really understand this yet. There are LLMs that can do useful work running locally on 5 year old laptops (ok, only if it’s a Macbook Pro, but still). Qwen on consumer hardware isn’t close to Claude Code using cloud models, but it can do real work and this is the floor, the absolute minimum of AI we will have going forward. No matter what happens to the industry and the bubble, it will not go away. With any other outcome other than a total collapse of the bubble, AI will be more powerful than that.