Today, I will write about @AlloraNetwork. First of all, Allora is a Layer 1 built on the Cosmos SDK, and it features an already operational mainnet. I looked into the differences compared to other projects. Differentiation It operates an interchain Cosmos ledger for autonomous software agents and has secured a $100M GPU expansion budget. However, while focusing on the agent marketplace and providing computing resources, Allora specializes in verifiable inference quality and self-improvement mechanisms. Allora's Pay-What-You-Want fee model contrasts with the fixed fee system based on FET tokens, encouraging early adoption while enabling reward distribution through micro-payments. Complementarity with Akash Network Akash Network is a decentralized GPU computing marketplace, offering H100 GPUs at about $1.32 per hour and currently showing over 50% GPU utilization. Allora can play the role of a consumer of these computing resources, while conversely, Akash can supply the computing...
* I found a very good article that helps understand Allora, so I summarized it a bit in Korean. It's much better for us to do everything easily and comfortably. In fact, @AlloraNetwork is a central project of "intents." To talk a little about the technical aspects, in blockchain, users specify function calls and state changes directly to request transactions, but this is actually inefficient. However, Allora allows users to simply present their goals, and the solver network finds and executes the optimal on-chain actions. This reduces the burden on users and increases efficiency. Currently, AI also has a "model-centric" UX, where users have to explore and choose models themselves. But a model adjustment network like Allora shifts AI UX to be "goal-centric." Users only need to set their goals and performance criteria, and the network adjusts and evaluates various models to aggregate the optimal results. In other words, by delegating model exploration and aggregation to the market,...
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