Just saw a noteworthy development: the @ AlloraNetwork mainnet has been launched and officially connected to Solana, bringing "predictive capabilities" directly to on chain applications. The Allora mainnet has been launched, and now Allora's capabilities can be directly used on Solana, making on chain prediction a more fundamental component. Why is it recommended to focus on this project? Summarize several highlights in plain language 1. Decentralized AI+verifiability: instead of the traditional "black box model", reasoning/prediction results are more transparent and can be verified, which is suitable for Web3 scenarios. 2. Predictive data can be directly applied and called upon: the prediction of key indicators such as price and volatility can directly serve DEX dynamic rates, lending risk control, return strategies, trading/Agent systems, etc. (the core is "early response" rather than post remediation). 3. Multi model collaboration saves more computing power: It's not about piling up a super large model, but allowing multiple models to collaborate and output results, which is more cost-effective and delay friendly for B-end/protocol parties. 4. Multi chain cooperation+continuous in Build: not only focusing on one ecosystem, with stronger scalability; Moreover, the project narrative belongs to the overlapping track of AI+infrastructure, and there is considerable room for imagination in the future. If you usually pay attention to Solana ecology, DeFi upgrades, AI agents and other directions, Allora can be added to the observation list first. Web3AI Solana ALLO