Allora on the AI Big Model Old fans know that Shage is a heavy user of big models. In daily work, sometimes GPT and Grok, sometimes Gemini and Claude. Silly brother had to switch between various large models. So, silly brother was thinking, would there be an abstraction layer on top of these big models, Can different models be automatically called based on specific tasks? Until today, silly brother saw Allora. First, let's talk about the background of Allora The team comes from JPMorgan Chase UC Berkeley、 Cambridge Financing amount of 35m USD Funding from institutions such as Polychain, Framework, Dao5, etc. Overall, it is a combination of capital with a serious background and a strong team. What are the characteristics of Allora's AI abstraction layer? 1. From "Model Center" to "Target Center" You only describe the goal (such as "predicting BTC's tomorrow return rate, providing win rate and confidence interval"), and the network automatically selects and weights (the model/weight/route changes in real-time with the situation). This is better suited to the task than a single model or static integration. 2. Decentralized 'swarm intelligence' and self evolution Over 280000 workers (models/agents) compete and collaborate in the same network: the better ones receive higher weights and rewards, while the worse ones are demoted or eliminated; Representatives participate in evaluation and governance through pledging 3. Plug and play intelligent signal Provide directly available signals (win rate, risk distribution, action recommendations, etc.) for DeFi, prediction markets, and AI agents, shortening the distance from research to trading/execution; For example, in today's hot prediction market, Allora is able to gather multiple models and turn "predictions" into a production line that can be priced and cleared In the cycle of submission, aggregation, usage, settlement, and weight redistribution, the prediction market can evolve autonomously. Based on this, Allora accurately predicted the outcome of the 2024 US presidential election. Allora represents three major trends in the future development of AI and Crypto: 1. AI moves from "single model competition" to "swarm intelligence collaboration" The future is more like an "inference market": different expertise models collaborate based on price/reward signals - whoever is more accurate in the current context will receive traffic and revenue. Allora has turned this mechanism into a "network layer" rather than a single small tool within an application. 2. Agent Economy x Financial Liquidation AI Agents are no longer just "generating text", but are based on tradable intelligent signals for placing orders, hedging, and relearning; The link from intelligence to cash flow has been connected. DeFi and the prediction market have thus upgraded from "human speculation" to "swarm intelligence driven". 3. The integration of verifiable AI and token incentives Credibility no longer relies on brand or closed source APIs, but on on on chain (or traceable) evaluation, staking, and punishment. This provides a lever for compliance and accountability for 'financial grade AI', and is also conducive to the expansion of the ecosystem involving multiple parties. Currently, the ALLO TGE is approaching, If you are also interested in Allora, you can participate in Kaito's reward activities, receive airdrops, and earn ALLOs. Allora Allora