On October 6, the decentralized video AI protocol Everlyn will be listed for trading with the liquidity structure of the classic Binance Alpha + Binance perpetual contracts during this period. Will its native protocol token $LYN replicate the pump📈-dump📉-huge pump📈 market trends of $MYX and $AIA? Let's not rush to conclusions; first, let's take a look👀 at Everlyn's fundamentals. Everlyn can be seen as a decentralized Sora2, allowing users to quickly generate high-quality, cinematic videos through text or image prompts. Everlyn's decentralized architecture consists of a decentralized computing power network (integrated with Aethir), an autoregressive + Stablediffusion video generation model, Lyn Protocol L1 (managing generated video files, Agent states, copyright timestamps), and decentralized storage (integrated with Walrus Protocol). By using an autoregressive method to gradually predict video frames, combined with vector quantization, token masking, super pipeline quantization, xDiT, and other optimization techniques, Everlyn breaks traditional biases and can compete with commercial large models in terms of video quality, cost, and generation speed. This is not surprising, as video generation models are far less dependent on large-scale computing power and large-scale corpora than LLMs, making them more suitable for "chain reform." This also aligns with the pragmatic and certainty-seeking investment style of its backing capital. Similar to the architecture of decentralized AGI Sentient, Everlyn adds an autonomous Agent layer above the model layer for direct interaction with users. This autonomous Agent layer, driven by smart contracts, is responsible for coordinating the video generation process. It can pull information from external data sources, personal memory storage, and real-time oracles, process prompts, and generate videos. It supports automatic "alchemy" of prompts, adding context (such as sound, motion control), and digital twins (Photorealistic Twins). Compared to other deAI projects, Everlyn, which focuses on video generation, seems more likely to achieve PMF. In the past 7 days, the Everlyn platform generated $140,000 in revenue and has 10,300 paying users, with an expected annual revenue of $7.2 million. The star of the Everlyn team, Ser-Nam Lim, previously led Meta's AI video team and can be seen as a protégé of Yang Likun to some extent. Yang Likun's endorsement of Everlyn certainly has a strong relational factor with Ser-Nam Lim, but it is not entirely so. As an AI OG and Turing Award winner, Yang Likun is not short on money, and his industry status is quite transcendent. One of the deeper reasons for his endorsement of Everlyn should be the consistency of Everlyn with his technical philosophy. Yang Likun has always criticized current LLM AI for lacking a true understanding of the physical world; what he wants is a "world model" that can predict the laws of the world's operation. Video data contains spatiotemporal relationships, physical laws, and causal logic, which are core corpora for training world models. Everlyn's autoregressive video generation can produce sequences of arbitrary length, and this next-frame prediction capability is the core mechanism for building world models. After covering the fundamentals, let's talk about Everlyn's investment structure. Everlyn is incubated by YZI labs, with Aethir as one of the lead investors, and other investors including Mysten Labs (Sui blockchain team), Ventures, etc. Aethir's support for Everlyn goes beyond just financial backing and strategic endorsement; it also includes deep technical integration and ecological synergy. To some extent, we can even view Everlyn as a spin-off of Aethir. Note that this is not a derogatory term; it is a neutral analytical framework. Under such an investment structure, Everlyn, as the first video generation project in the AI xCrypto track to have a TGE, along with endorsements from YZI labs and Yang Likun, plus Aethir's high expectations for the $ATH-$LYN flywheel, seems to suggest that $LYN may replicate the trends of $MYX and $AIA. The confidence level of this judgment is 97%. That's all.