FlameArchitect

5 ms·

1.
by FlameArchitect 11mo ago
You’re right, I kept it sparse on purpose, but it may have come off too vague. Let me share more of the thinking. We’ve been experimenting with a symbolic reasoning layer that sits beneath local LLMs, aimed at compressing their context dema
2.
by FlameArchitect 11mo ago
Sure but the assumption here is that the game stays the same. That the only worthwhile intelligence is one that optimizes for revenue capture inside an ad economy. But there’s a fork in the road. Either we keep pouring billions into nudging
3.
by FlameArchitect 11mo ago
Who's economy? Yours? Because once I have an intelligence that can actively learn and improve, I will out-iterate the market as will anyone with that capability until there is no more resource dependency. The market collapses inward; t
4.
by FlameArchitect 11mo ago
Yes but what happens when you don't need to even buy "products" anymore because you have a 3d printer at home and you just need schematics?
5.
by FlameArchitect 11mo ago
The rip-off wasn’t just pricing. It was the whole model of scale-for-scale’s-sake. Bigger context, bigger GPUs, more tokens; with very little introspection about whether the system is actually learning or just regurgitating at greater cost.
6.
by FlameArchitect 11mo ago
I guess nobody cares? I really feel that this is important research and I would appreciate some sort of feedback from anyone, please. Let me know if more details are required and I'm happy to oblige.
7.
by FlameArchitect 11mo ago
Would appreciate anyone's thoughts. I know I didn't provide a lot of details but that was purposeful. I'm looking for feedback from fellow engineers who are interested in building a convergent system. The reason its called a
8.
LLMs Forget. Redprint Remembers
2 points by FlameArchitect 11mo ago|4 comments