Quick take on @AlloraNetwork post AI World 2025

- Only deAI team on stage among governments + Apple/Microsoft/LG
- Hosted by @kbwofficial, conversation centered on capital flows
- Thesis: central bottlenecks slow AI; Allora wires thousands of models into a collective brain that optimizes for outcomes
- Objective-centric workflow: ask for results, not a single model; network self-selects via Reputers/Forecasters
- Onchain memory + auditability: outputs open, verifiable; coordination and incentives encoded
- Proven in testnet: predictive signals across DeFi price feeds/liquidity; risk detection moves from reactive to proactive

Builders: plug models and compete in a merit-driven market for intelligence. Users: route real-time signals into agents/dApps

Poll: which use case should ship first DeFi risk, agent memory, price feeds?

Shoutout @nick_emmons for carrying the flag. Study @AlloraNetwork today

gl hf!