Everyone keeps debating whether bigger general models will w

Everyone keeps debating whether bigger general models will win, but the more practical question is whether broad intelligence is even the right architecture for real-world work.
@OpenLedger  is making a more interesting bet: not “more AI,” but specialized AI infrastructure where domain-specific models can be built, refined, and deployed with transparent coordination instead of black-box abstraction.
General intelligence sounds powerful.
Specialized intelligence sounds useful.
If AI infrastructure shifts toward purpose-built systems instead of endlessly scaling generic models, value creation may move with it.
Does AI’s future belong to giant universal models or narrower systems that solve specific problems better?

🔘 Universal AI
🔘 Specialized AI
@OpenLedger #OpenLedger 

Universal AI

Specialized AI

3 Stunde(n) übrig

.css-1iqe90x{box-sizing:border-box;margin:0;min-width:0;color:#EAECEF;}Everyone keeps debating whether bigger general models will win, but the more practical question is whether broad intelligence is even the right architecture for real-world work.

Everyone keeps debating whether bigger general models will win, but the more practical question is whether broad intelligence is even the right architecture for real-world work.