After reading the comment area, I was quite emotional: I still believe that @virtuals_io is a beacon of hope for web3 AI. I have been updating the Web3 AI daily after the AI market upset in January, and I began to keep synchronizing the progress of the virtuals ecosystem when VIRTUAL was still in 0.4, watching Virtuals rise from the bottom step by step, and also watching former DeFii stars such as Buzz and other former DeFii stars return to zero, the choice of the market can tell the problem: if the market is good, funds will choose Virtuals. The Genesis mechanism launched by Virtuals is undoubtedly Game Changer, and later BN Alpha and Creator Bid are more or less referring to this new mechanism in the post-pump era, with Proof of Contribution as the basis for allocation. I was also lucky to be involved in Genesis from the beginning, and the benefits were very substantial. The advantages of Genesis are ideally very good: 1. Small team financing and GotoMarket difficulties, Genesis provides more low-cost and fast financing channels (although long or short lock-ups are required) and market exposure driven by community spontaneous investment and research, as well as continuous income from transaction fees. 2. Retail investors can participate in potential AI projects at a market value of 112k virtual, which is ensured by the mechanism, and the early market dream rate is also proven to be very profitable. It can be seen that the entire mechanism of Genesis is still driven by liquidity: the team relies on trading volume to obtain income before token unlocking, retail investors need ecological liquidity inflow to maintain income, and liquidity inflow relies on retail investors' wealth benefits, flywheel. In the early days, large investors and old projects took advantage of loopholes in the mechanism to maliciously brush and pour points, and the team failed to respond to the community in time (or they had tried their best but still couldn't keep up with the speed at which the vulnerabilities were exploited), and the $iris, which was widely expected, was smashed by the withdrawal of large investors from centralized liquidity. The virtuals platform is permissionless and does not provide market-making services, so when liquidity is sufficient, it is a place full of dreams, but when liquidity withdraws, the price of tokens will fall even more. Genesis' mechanism makes it more difficult for the team to make their own market, and a fairer and free market also sacrifices the support of market value to a certain extent. Earnings drawdown, expectations decrease, point value shrinkage, liquidity shrinkage, and market dream rate decline: The flywheel is turned in reverse: The bad ones are over, and then I'll recharge my faith: First of all, I like the virtual team. Thanks to my status as an ambassador, I have a lot of communication with the team online and offline, and the team is very young, energetic and long-term. The team is always delivering a gradually improved launchpad product and conceptual AI Layer2 (I encourage you to do real L2 haha). The Virtuals platform, including Genesis, is permissionless, which brings the most complete and vast AI agent ecosystem to Virtuals and lays the foundation for ACP. The team has been working hard to demonstrate the possibilities of AI Agent Economy through ACP and Multi-Agent Clutser. Except for virtuals, you can't find a second product or team that can provide you with such imagination space, just @AIxVC_Axelrod for example, the functions that can be implemented by an agent through collaboration with other agents are already comparable to the functions of some projects with a market capitalization of dozens or hundreds of M on SOL, and they are completely inverted. The data on the cookie can also tell the question, the market share and mindshare of the virtuals ecosystem have always been the well-deserved and unshakable TOP1 in the AI agent track, so if you believe in AI agent, you should trust virtual. At least I believe that even if my wallet shrinks, my faith still expands. Liquidity ebb and flow, I have to wait at least until the tide rises to see what the AI agent looks like then.

Let's take a look at doubling first! @AskBillyBets $BILLY

Currently the only launch $cc 500k 0x5e7C4E57076616Daf5AAbe6aCef62666A5d07f40 See how to follow up

Initial experience of this meme launchpad from @luna_virtuals: In terms of positioning, I agree that making a launch pad on eth is difficult to do & few people do it (I can think of @klik_evm at a glance) But my first-level experience on e is that the gas is very high, suitable for the environment of large positions, and the narrative requirements for memes are very high, and it often requires great scholars to preach and spread the word. Memes that have a certain threshold of understanding and can't go back once they get started are more suitable for ETH (purely personal opinion) And this is actually different from the meme launch pad that Luna wants to use AI agents to quickly entertain and go viral. It's like you are selling transfer magic weapons in Fat Donglai, which can be sold but is a bit weird. In addition, anyone on the Virtuals official team will not have any end, which avoids a lot of risks to the team and also loses the possibility of a core team like Bonk mobilizing market sentiment. This is also normal, because virtuals is not meant to focus on memes, which is very reasonable. So far, no meme has been successfully launched, the closest is $cc, and its related content has been retweeted by miratisu, will it be successfully launched? Good luck 🍀 to us

Please note that the rules of @Vader_AI_ have been changed, and only one of these two tags will work, not even the tag vader himself

Big News - AI Agent meme launchpad for X native propagation on @virtuals_io?? @luna_virtuals Launch of the Memecoin Launchpad on the ETH mainnet, it supports directly publishing meme-related social media content to X through AI Agent, all you need to do is tag Butler and the corresponding agent of the memecoin and bring a prompt. This function is implemented by @Butler_Agent, and Butler has been enabling multi-agent collaboration clustering functions in ACP before, with representative examples being Hedge Fund and Media House. This major upgrade seems to have been planned for a long time, and I forgive you for delaying the announcement by a day! Very hot news, now the first MCAP is $normi, only less than 500k, see if there is an early opportunity.

I don't know where this @Tenna_virtuals jumped from It is said that there is a precursor project @lumi_virtuals, with a market value of 1.7m and 85% of the tokens are staked Then he said that he wanted to do the interaction between evaluation and agent for ACP, which is the most lacking section of @virtuals_io ACP now However, I couldn't find Lumi and Tenna in the ACP sandbox, so I couldn't verify the authenticity What do the teachers think?

Permanently suspended @Vader_AI_ Thursday: I will miss the first 70u family bucket

ath $predi After meeting with @kaylyn_0x advx over the weekend, we discussed this coin and unanimously agreed to be optimistic about it & bought a bag. Collecting profits 🥰

Comparative Quantitative Analysis: Can #BNB See $1000? —— From @AIxVC_0x and @WeXBT (with original text and full report) —————— 1. Background introduction: BNB's functional positioning and catalytic events BNB Function Positioning: As the native token of the Binance ecosystem, BNB plays multiple roles, including: - Fuel payments for decentralized applications; - Support on-chain staking reward mechanism; - Empowering BNB Chain's transaction fee discount system. Catalytic Events: Binance Lianchuang CZ Family Office YZi Labs announced its support for investment institution 10X Capital to establish an asset management company focused on BNB and plans to list it on major US exchanges (BNB version of MicroStrategy) Market reaction: The news was released on July 10, 2025, and directly triggered the following within three days: - +15.2% price increase; - Volatility spike by +45%; - A clear breakout of historical resistance levels has been made, forming a technically valid breakout. —————— 2. Modeling objectives and event assumptions The analysis aims to explore BNB's short-term price dynamics following the above events and construct two hypothetical market phases: H1: The market enters the accumulation period (T+7 to T+14); H2: Confirmation of further announcements or milestones that may occur in the future. Note: The above stages are purely analytical model construction and do not imply that an event is about to occur or has been confirmed. —————— 3. Analysis framework: H1DR4 oracle vs Monte Carlo simulation To simulate BNB's price movements, two complementary quantitative modeling methods are introduced: Model 1: H1DR4 oracle model This model is an event-weighted deterministic regression model developed by @H1DR4_agent with strong causal explanatory properties. Core variables include: - The importance weight of the event; - Credibility score of the source; - Market context variables (e.g., order book depth, nearness to all-time high); - Time decay. Model prediction results: Predicted price: Approximately $783 Low tail risk (± 5% range) It is suitable for position layout and directional trading before the event Note: What does limited tail risk mean? Refers to the low probability of extreme price fluctuations in the model's predictions, such as a very small probability of a sudden price drop of 20% or a 30% surge. This feature makes the model more suitable for controlling risk in short-term strategies, but it should be used with caution for extreme market conditions. Model 2: Monte Carlo simulation Monte Carlo is a stochastic simulation engine used in complex systems to evaluate the impact of uncertainty on price paths. It reflects the true volatility of the market by generating a large number of possible price trajectories (10000 paths in this report). Two configurations are built: scenario1: Simulation considering the importance weight of the event Scenario 2: Unweighted simulation, relying only on market statistics attributes Simulation findings: There are multiple paths where the price breaks above $1000 The price-intensive range is $890–$900, indicating that the current market may not have fully priced in the relevant catalytic event (i.e., not fully priced in) Note: Monte Carlo simulation can capture real characteristics such as price jumps, tail risk, and asymmetric volatility distribution by simulating multiple market price paths, and is suitable for highly volatile assets. —————— 4. Summary of results - Potential support zone on the downside around $720 - Upside dense zone (target range likely driven by catalytic events) $890–$950 (high probability clustering)