As an NBA fan, I grew up watching basketball. When it comes to the Rockets, almost everyone born in the 90s remembers them: the 22-game winning streak, the McGrady moment, Yao Ming—these images instantly bring back memories. Back then, we discussed roster changes, in-game feel, and game rhythm; essentially, we were always making predictions. This topic might seem a bit off-topic, but it's not too far off, because @OfficialApeXdex, which we're discussing today, puts this judgment honed over years of watching basketball into a directly executable on-chain scenario. ____🏀____🦍____🏀____🦍____🏀____🦍____ 『NBA Prediction as the Most Natural Entry Point』 In the Prediction module of ApeX @OfficialApeXdex, selecting NBA will show you the currently available game market. The design here deliberately lowers the barrier to entry, not requiring users to understand complex derivative structures beforehand; they only need to make predictions based on familiar game trends. Once a judgment is submitted, it is mapped to an on-chain state and enters the settlement process. The significance of this step is that it allows sports fans to focus on the judgment itself, rather than the tool, when participating on-chain for the first time. The screenshot I'm using here is from the Rockets vs. Nuggets game on the 15th. ____🏀____🦍____🏀____🦍____🏀____🦍____ 『How Prediction Becomes a Pricing Mechanism』 Mechanically speaking, ApeX's @OfficialApeXdex Prediction is not a simple outcome bet, but a probabilistic expression system. Participants make judgments about future states; these judgments are translated into prices and weights in the contract, and their validity is ultimately verified through settlement. This is consistent with the risk-neutral pricing logic in perpetual contracts; the only difference is the underlying asset. Whether it's asset price paths or the distribution of game results, it's essentially a quantification of uncertainty; prediction simply brings this processing forward to a more intuitive scenario. ____🏀____🦍____🏀____🦍____🏀____🦍____ 『Arbitrum as a Prerequisite for Efficiency』 ApeX (@OfficialApeXdex) employs a multi-chain deployment architecture, with its early and core trading scenarios running on the Arbitrum (@arbitrum) L2 network. The low fees and high throughput provided by Arbitrum (@arbitrum) enable high-frequency judgments and rapid settlement on-chain. This is particularly crucial for systems that simultaneously support prediction and perpetual operation, as information and funds need to flow rapidly between different markets. When efficiency is sufficiently high, arbitrage activities can continuously compress deviations, causing prices to converge towards the no-arbitrage range, and the quality of judgments will be truly reflected in the results. ____🏀____🦍____🏀____🦍____🏀____🦍____ When perpetual bonds cover $MSTR and $COIN, while prediction markets cover the NBA and the Premier League, it may seem like horizontal expansion, but it actually follows the same volatility pricing logic. ApeX (@OfficialApeXdex) doesn't simply piece together different categories; it allows traders to repeatedly use the same set of judgment capabilities in different scenarios. Perpetual bonds amplify the judgment, while prediction markets validate it. They coexist on the same infrastructure, forming a system structure that can be repeatedly tested. ____🏀____🦍____🏀____🦍____🏀____🦍____

Today, as expected, Theoriq (@TheoriqAI) has climbed to the top of the Kaito @KaitoAI trending list. This surge in popularity indicates that Theoriq (@TheoriqAI) has gained widespread recognition within the Kaito community. With Theoriq (@TheoriqAI) AlphaVault TVL surpassing $23 million, the mainnet launch date is set for December 16th. Stay tuned! ____🦘____🦘____🦘____🦘____🦘____🦘____ 『AlphaVault Sets the Rules』 Theoriq (@TheoriqAI) has consistently avoided the outdated approach of "AI helping you predict market trends." The problem with DeFi isn't the scarcity of returns, but rather the delayed risk response, fragmented structure, and chain disruptions caused by emotional resonance. AlphaVault's design compresses all of this into a single deposit, share ownership confirmation, and operation within established rules. ____🦘____🦘____🦘____🦘____🦘____ 『This is an evaluable, settlement-enabled, and collaborative agent foundation』 Let's delve deeper. Theoriq (@TheoriqAI) has built an evaluable, settlement-enabled, and collaborative agent foundation. Modal primitives allow for rapid agent composition, agent-to-agent settlement mechanisms enable tasks to be hired for completion, and Proof of Intelligence constrains output quality through reputation and staking. This is closer to agent communication and payment standards, and AlphaVault is the first real-world application where this system has been successfully implemented. ____🦘____🦘____🦘____🦘____🦘____🦘____

I've always thought I wasn't particularly anxious, and I believed it was normal for everyone in the crypto world. Until I started dreaming about my middle school days. Last night I woke up at 3:30 AM. At that moment, I knew I was starting to feel anxious, because those three years of middle school were the most anxious I've ever been.

The competition on the leaderboard for @MemeMax_Fi Season 1 is fierce! I really want to climb higher. The snapshot time is almost here, so let's make a final push! There aren't many events with such a large-scale USDT reward, so seize the opportunity. The second season will have more spots for the top 500. Don't be discouraged if you didn't get a spot in Season 1; the chances will be much better in Season 2. ____🟪 ____🟪 ____🟪 ____🟪 ____🟪 ____🟪____ 『The significance of the January milestone isn't just the timing, but that the system is entering the "quantification phase."』 Many people see the launch of @MemeMax_Fi in January as product implementation, but I personally feel it's more like an ecosystem leap. Once the @MemeMax_Fi DEX is up and running, MaxPack, MaxPoints, and the $M buyback cycle will form an observable and repeatable dynamic model within the chain. In other words, MemeMax (@MemeMax_Fi) is now processing "emotion" into "structured demand." Once external funds enter the market around January, the TVL (TVL) of this chain will likely shift from a "symbolic value" to "real-world fluctuations," which is what we commonly refer to as the first round of "substantial growth." Overall, there's an increasingly strong feeling that: MemeMax (@MemeMax_Fi) is no longer chasing narratives, but rather building its own mathematical structure in advance—a chain that integrates participation, emotion, and liquidity into a single framework. ____🟪 ____🟪 ____🟪 ____🟪 ____🟪 ____🟪____

@BIYAPAYOFFICIAL announced the winner via @grok: @AllisonGlo42313. Please DM me your winning address before 6 PM.

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Today is the League of Legends World Championship. I only remembered it after seeing comments from my Twitter followers. I just turned on my computer, went to Bilibili for a bit, and caught the fifth match. Of course, I still need to ask @SentientAGI for a prediction; you can take this as a viewing guide. You can check out @SentientAGI's answer. Currently, the publicly available information only provides KTRolster and T1's overall record and recent tournament results for the 2025 season; it doesn't provide head-to-head statistics. Based on the existing data, the two teams are evenly matched recently, making it difficult to predict the champion of the finals. In the 2025 LCK regular season, T1 achieved a record of 11 wins and 7 losses, ranking 3rd. In the same season's LCK rankings, KTRolster ranked 5th. In the 2025 LCK Cup, both KTRolster and T1 have a record of 2 wins and 2 losses, a win rate of 50%. The 2025 LCK season is exceptionally competitive. T1 secured a playoff spot with an 11-7 record, while KTRolster also ranked among the top five, demonstrating strong competitiveness. The two teams have a 2-2 record in the same season's cup competition (LCK Cup), indicating similar recent form. Although there are many exciting replays of their matches (such as the full highlight reel from August 24th), publicly available statistics do not list the head-to-head record between the two teams. Due to the lack of specific historical head-to-head data, probability calculations based on historical matchups are not possible. The two teams' overall performance this season (T1's 11-7 and KT's top-five finish) and their similar record in the cup competition suggest that this grand final could be a closely contested match.

I post less frequently on weekends because I need to spend time with my kids and family. Lately, I've been thinking a lot about how to maximize my posting traffic, but if I only care about traffic, would I still be myself? So don't be enslaved by traffic, and don't let it control you. I had a pleasant surprise this morning! I received a custom artwork from the Sentient @SentientAGI Twitter community, angle @0x_Angelarts. It combines the style of the Sentient @SentientAGI mascot and my profile picture. I love it! The entire Sentient @SentientAGI community is like that—warm and nice. ____🌫️ ____🌫️ ____🌫️ ____🌫️ ____🌫️ ____🌫️____ I've also seen more information about Sentient @SentientAGI's KYC procedures. Many bloggers have written very detailed explanations, among which @btcpiggy's explanation is very clear; basically, one post is enough: This time, it feels like a major event is really coming. Those who haven't caught up should hurry up and do so. Those who are currently building Sentient should continue their efforts. After all, we've followed this far, and no matter the outcome, let's grit our teeth and keep going! ____🌫️ ____🌫️ ____🌫️ ____🌫️ ____🌫️ ____🌫️____ Have a great weekend! Gsentient!

While scrolling through Twitter today, I saw several rumors saying that Sentient (@SentientAGI) is about to "make a big splash." Someone posted a screenshot of the $SENT token appearing on @CoinMarketCap, showing a total supply of 34.35 billion. If this is true, then it's certainly coming soon; If it's false, I actually hope it is. I have to say, Sentient (@SentientAGI) is incredibly active right now. They have to post content daily just to stay on the leaderboard. If they stop posting for a day, their @KaitoAI ranking drops drastically; I haven't seen 30D in a long time. ____🦩____🦩____🦩____🦩____🦩____🦩____ 『Turning Papers into an Economy』 Sentient (@SentientAGI)'s approach is somewhat like bringing the NeurIPS conference directly onto the blockchain. They established a verifiable intellectual property mechanism using OML fingerprints, watermarks, and TEE primitives. Through Witness Chain and DePIN design, they created a cryptoeconomic compensation logic for research contributions. Then, using the ROMA and GRID systems, they compressed the paper's ideas into a workable AI agent framework, allowing verification and incentives to be activated simultaneously. Fifteen months, four main threads, four tracks—this full-stack parallel approach demonstrates that Sentient @SentientAGI is not merely reusing academic achievements, but redefining "research productivity." ____🦩____🦩____🦩____🦩____🦩____🦩____ 『When Intelligence Begins to Price Itsself』 On November 16th, on the stage of @EFDevcon, co-founder @sandeepnailwal will discuss the framework of "Community-Owned AGI." $SENT represents the economic interface of this transfer: top-tier endorsements attract talent, talent drives innovation, innovation feeds back into products, and this extends to branding and capital, forming a self-sustaining ecological loop. This is not a replicable model, but rather an independent evolution. ____🦩____🦩____🦩____🦩____🦩____🦩____

Mira Network's weekly reports have become increasingly valuable lately, and I now read them every week without fail. This October's AI roundup is most notable for x402. Sentient (@SentientAGI) is working with alphaXiv to refine its open-source agent framework, the ASI Alliance launched ASI:Cloud Beta, and Nansen, Sui, Hyra, TradeTide, and DeAgentAI (@DeAgentAI) are all exploring different avenues. Mira Network has presented all the hottest news of the week. Mira Network has also followed up quickly this time, officially announcing yesterday on Twitter that x402 is being integrated into their Verify API. Their timing is impeccable. ____📰____📰____📰____📰____📰____ 『The Technical Logic of the Self-Paying Model』 Mira (@miranetwork) embedded the x402 protocol into the Verify API, essentially allowing calls and settlements to occur simultaneously. Traditional AI only handles requests and responses; now, an additional layer of economic semantics is added. Each call is accompanied by an on-chain payment; the behavior is constrained and given value. This is considered the prototype of a "self-paying intelligent agent": computing power consumption is tied to incentives, the payment process requires no identity system, credentials exist with cryptographic proof, and are auditable and traceable. ____📰____📰____📰____📰____📰____📰____ 『System Feedback at the Token Layer』 Each call drives the flow of $MIRA. Token burning, rewards, and activity are interconnected in a cycle. “The more it runs, the more stable it becomes.” This seems to be the core of this upgrade. From this perspective, this is no longer simply a technological evolution, but a change in behavioral structure: for the first time, AI is bearing the costs of its actions and learning how to "pay the price" for its own operation. ____📰____📰____📰____📰____📰____📰____ Looking back at Mira @miranetwork's weekly report, it becomes clear that it wasn't just a product update. It was more like a new starting point: from Mira @miranetwork to Sentient @SentientAGI, from ASI to DeAgentAI @DeAgentAI, all have begun striving in their respective directions. October has passed, and perhaps a new narrative is on its way, but one thing remains unchanged: Mira @miranetwork is still exploring, still evolving, just as it was at the beginning. ____📰____📰____📰____📰____📰____📰____