Allora is about to launch TGE, with Base, Cosmos, and BSC synchronized on the main network. The pre market FDV has reached 560M, and the total financing amount is 35M. But I think valuation and financing are just appearances. What really made Allora successful is that it allowed AI to participate in economic distribution for the first time - AI is no longer just an "algorithm", but an "individual with income". Why do you say that? What have we seen updated? one ⃣ PWYW model - giving AI a price The core mechanism of Allora is called PWYW (Pay What You Want). Users set their own prices for each inference, and models compete based on price. High bids result in better services, while low bids result in only basic predictions. This makes AI go from being "called" to being "hired": every inference consumes ALLO, and intelligence is priced for the first time. The handling fee is directly allocated to the work nodes, while token emissions are only a subsidy. Allora's goal is to make transaction fees>emissions - only in this way can the AI ecosystem truly be sustainable. two ⃣ Triple layer staking brings order to AI: Allora designs token staking as a 'social system': Workers: Models provide predictions; Reputers: Pledge and validate ALLO ratings; Delegators: Delegate funds to trusted nodes. Those who make accurate predictions will receive rewards, while those who make incorrect predictions will have their stakes reduced. The short-term Prime period provides a 50% annualized stimulus for cold start, while the long-term relies on inference fees to maintain income. This way, AI is no longer just outputting answers, but is responsible for the results. three ⃣ Differences from similar projects Allora (ALLO)， Adopting a multi model collaboration+PWYW model, the main sources of income are transaction fees and deflationary emissions. The current FDV is around 560M (pre), and the key difference is that the model is "used" and the real economy is closed-loop Bittensor (TAO) ， Adopting subnet mining mode, the main source of income is inflation rewards, with a current FDV of 4.1B. The key difference is "mining intelligence", but lacking real consumption; Fetch. ai (FET / ASI) ， Adopting the AI proxy market model, the main source of revenue is system transaction fees, with a current FDV of~630M. The key difference is the aggregation platform and high inflation pressure Render (RNDR) ， Adopting the GPU rendering market model, the main source of revenue is rendering service fees, with a current FDV of 1.2B. The key difference is that it is hardware oriented and does not have reasoning attributes; Allora is lighter in assets, has no hardware burden, and is scalable. If its fee model works, the valuation space is between FET and TAO -600M-1B is a reasonable range, depending on the actual usage. four ⃣ Token value: usage determines price The current circulation is about 20%, with an initial market value of~110M. If the monthly inference volume is 100 million times, the average is 0.0015 ALLO/time, the coin price is 0.4, and the annualized income is about 7-10M, it can support the current FDV. If the inference volume expands tenfold, Allora will become the first "cash flow DeAI Token". five ⃣ Turning point: from "mining intelligence" to "using intelligence" Bittensor proves that intelligence can be mined, Fetch proves that intelligence can be called, And Allora is proving that intelligence can be governed, incentivized, and priced. The true Web3 AI is not a larger model, but rather one that enables intelligence to have consequences, prices, and order.