There's no moat to any of this shit, and they have to try to do something about that.
There's no moat to any of this shit, and they have to try to do something about that. Everybody involved is deeply, deeply, in debt. Watching these things work make it easy to figure out what they're doing. The clock is ticking. People pretending that normal people can't afford to do AI at home, in private, are making the argument that cars are too expensive for normal people to own. Pretty sure right now if you spend $25K, you would be able (if there were no technical hurdles) to set up a private rig that would satisfy your family's need for LLM assistance for the foreseeable future. That's a budget-priced car, and the price is only going to go down (i.e. that rig will become more powerful over time.) If all of those people donated some of their cycles and bandwidth to a networked training grid, the models would stay current. The "open source" infrastructure for that is lacking, but not for long. These companies own nothing that couldn't be implemented by a specialist after another specialist explained it to them over a phone call. And due to the nature of LLMs, they can't even use copyrights and patents as weapons. The only options are secrecy and government protection. And secrecy is only a delaying tactic.
Posted by pessimizer on Jul 14, 2026, 2:54 PM
Tags
Related issues
- Yeah, the plan is far too expensive for what it provides.
- Crashed demand after one of the big AI labs (probably Anthropic because they focus way too hard on expensive frontier models) become inso...
- /dev/random is much too expensive for this.
- Yeah, this always bugged me.
- A year ago, I had the opinion that it'd be too expensive for developers to support offline mode, peer to peer, or community servers after...
- The weird thing about this product is that its biggest competitor is "an old ipad." I feel like most of their target customer base alread...
Raise real-world problems, find people facing the same issue, and discuss solutions.2,000 issues0 comments
pricing (Other)
Yeah, the plan is far too expensive for what it provides.
NewCrashed demand after one of the big AI labs (probably Anthropic because they focus way too hard on expensive frontier models) become inso...
New/dev/random is much too expensive for this.
Yeah, this always bugged me.
A year ago, I had the opinion that it'd be too expensive for developers to support offline mode, peer to peer, or community servers after...
The weird thing about this product is that its biggest competitor is "an old ipad." I feel like most of their target customer base alread...
There's a talk from Travis Kalanick recently on a podcast about this.
>nobody ever bought German cars for their low prices, except the Beetle Huh?
There's no moat to any of this shit, and they have to try to do something about that.
There's no moat to any of this shit, and they have to try to do something about that. Everybody involved is deeply, deeply, in debt. Watching these things work make it easy to figure out what they're doing. The clock is ticking. People pretending that normal people can't afford to do AI at home, in private, are making the argument that cars are too expensive for normal people to own. Pretty sure right now if you spend $25K, you would be able (if there were no technical hurdles) to set up a private rig that would satisfy your family's need for LLM assistance for the foreseeable future. That's a budget-priced car, and the price is only going to go down (i.e. that rig will become more powerful over time.) If all of those people donated some of their cycles and bandwidth to a networked training grid, the models would stay current. The "open source" infrastructure for that is lacking, but not for long. These companies own nothing that couldn't be implemented by a specialist after another specialist explained it to them over a phone call. And due to the nature of LLMs, they can't even use copyrights and patents as weapons. The only options are secrecy and government protection. And secrecy is only a delaying tactic.
Comments (0)
No comments yet. Start the discussion.