On August 3, 2026, the market screens seemed to be torn in half: on one side, CZ threw out the phrase "Why run around everywhere when the security department has everything," leading to a sharp rise in the Meme coin named "Coin Have" on BSC, with a single source reporting that its intraday increase once exceeded 1200%. Its market capitalization and 24-hour trading volume were pushed to around ten million dollars within hours due to the sentiment, but then the price significantly fell back, compressing a cycle of speculation into an extremely short time window; on the other side, continuous signals about AI and compliance infrastructure lit up the news stream—reports indicated that after OpenCode integrated DeepSeek V4 Flash, the daily Token usage was around 80 trillion, of which 30 trillion were paid tokens. Within a week, this model accounted for about 55% of OpenCode's overall usage. South Korean subsidiary NC was renamed to NC AX and publicly declared a full transformation into an AI company. The Chinese large model company, Kimi, planned to submit an IPO application to the Hong Kong Stock Exchange as early as this month, intending to raise about 3 billion dollars. Anthropic sent a letter to the U.S. Congress accusing Alibaba of carrying out large-scale “distillation attacks” on Claude. The Hong Kong Monetary Authority issued the first licenses related to asset-backed tokens. DingDian Financial expected to announce the latest progress on the Hong Kong dollar token HKDAP in August, entering the enterprise services market with a B2B2C model. On the same day, the Hang Seng Index rose by 0.48%, driven by Alibaba's more than 7% increase, while several stocks related to computing power and cloud in the U.S. stock market also strengthened slightly; the sharp rise and fall of speculative sentiment and the slow establishment of a long-term structure involving capital, computing power, and licenses were pressed onto the same timeline, hinting at an emerging main thread: AI and cryptocurrency are no longer just telling their own stories but are quietly converging on infrastructure and compliance boundaries, beginning to preset new intersections for the next cycle.

CZ Ignites Coin Have: The Cost of a 1200% Surge

While funds were lining up in the secondary market for AI and computing assets, the other end on the BSC chain had already completed a round of emotional cycles from ignition to extinguishment. On August 3, 2026, when CZ wrote on social media "Why run around everywhere when the security department has everything," this seemingly understated caption was quickly associated by the market with the Meme coin named "Coin Have." Public data only provided an outline: after this tweet, "Coin Have" surged more than 1200% on BSC in a short time, with a single source claiming its market capitalization once approached 11 million dollars and a 24-hour trading volume of about 11.3 million dollars, the candlestick chart almost resembling a straight line shooting up like a rocket. Following was a similarly steep decline—the price was described as "halved," sliding from its peak, adding a footnote about volatility to this temporary carnival.

This path, which starts with a single phrase and ends with extreme price fluctuations, is not unfamiliar in the history of Meme coins on BSC. KOL's tweets, offhand remarks in live broadcasts, and trending topics on social media often serve as signals for the rapid concentration of on-chain liquidity. As the founder of Binance, CZ has a particularly unique influence in this ecosystem: his tone, metaphors, and even jokes can be interpreted by some speculators as “signposts,” propelling a small-cap token to an eight-digit market cap solely based on sentiment, without any disclosed contract information or token distribution data. Such carnivals, lacking fundamental support, have consistent consequences for retail investors and liquidity: early holders can escape at high positions, while latecomers, drawn by KOL aura and increase rankings, may face prolonged agony of high volatility and deep rapid thinning, wishing to sell but unable to do so, with the fireworks ignited by sentiment leaving behind a peak that is difficult to refill on the price chart.

From Meme Frenzy to AI Computing: Is Capital Shifting?

While the K-line of "Coin Have" was still soaring on emotional tides, another group of cold data quietly depicted an entirely different demand curve: after OpenCode integrated DeepSeek V4 Flash, the daily Token usage was reported to be around 80 trillion, of which about 50 trillion came from free quotas and 30 trillion from paid quotas. The large model API is measured and charged in Tokens, with each unit consumed corresponding to a real model inference call. Even though we cannot see the specific user count, request numbers, or active developer count for OpenCode, the 30 trillion paid Tokens indicate that someone is continuously paying for computing power, while the 50 trillion free Tokens act as a large "trial pool," accommodating developers' testing, integration, and iteration. More crucially, according to the same source, DeepSeek V4 Flash accounted for about 55% of OpenCode's overall Token usage within a week, achieving more than half of the market share on a platform where details have yet to be fully disclosed. This infiltration is less about "telling stories" and more about developers voting with their frequency of use.

Compared to the fundamentally unsupported Meme coins, high Token consumption scenarios typically correspond to the penetration rate of development tools and the intensity of actual product use: every auto-completion, code review, and document generation silently accumulates the computing power bill to that total of 80 trillion. For capital, such scenarios provide a new "narrative template"—not centered around avatars, memes, and KOL jokes, but focused on computing power billing, API revenue, and Token consumption curves. When AI usage grows in trillions of Tokens, finding more efficient accounting and clearing methods for computing pricing, call settlement, and small payments between machines becomes essential. "AI + cryptocurrency" has the opportunity to transform from a slogan into a ledger: one end involves chips that can be emotionally discarded at any time, while the other end involves usable assets that can be measured against call data, payment ratios, and burn rates. Whether capital will actually shift its preference between the two depends on the market's willingness to pay higher valuations for this computing power-driven narrative.

NC AX and Kimi's IPO: The AI Race

While the demand side is looking for price anchors on-chain, the supply side with enterprises and capital is re-evaluating itself in a more traditional manner. South Korea's NC directly renamed its subsidiary to NC AX, publicly stating its intent to fully transform into an AI company. This is not just adding an "AI" sprinkle to existing business, but fully committing the company's future narrative to models, computing power, and data; in the same time window, China's Kimi was reported to plan to submit an IPO application to the Hong Kong Stock Exchange as early as August, intending to raise about 3 billion dollars, establishing itself firmly on the track of "capital markets paying for AI infrastructure" from the outset. One is an established gaming company drawing blood from its existing business to nurture AI, while the other is a large model company attempting to front-load its R&D budget for the next decade through an IPO. Both paths point to the same fact: genuine AI players are no longer satisfied with just telling stories at the technical level but are making thorough structural adjustments on their balance sheets.

This structural bet also directly reflects on the price feedback of regional assets. On August 3, the Hang Seng Index closed up 0.48%, with total market turnover around 255.179 billion Hong Kong dollars. With these not extreme index performances, Alibaba's daily gain exceeded 7%. Just recently, a controversy ensued over Anthropic's accusation of Alibaba's large-scale "distillation attack" on its model Claude, yet the market chose to significantly elevate Alibaba's stock price at this time, which can easily be interpreted as capital being more concerned about its long-term stake in AI rather than short-term compliance noise. Compared to the volatile market of "Coin Have" driven by a single tweet on the same day, the renaming of NC AX, Kimi's IPO preparations, and the revaluation of Alibaba's AI narrative in the Hong Kong stock market together outline another rhythm: the stakes here are measured in decades, willing to endure R&D burn, regulatory uncertainty, and technical route divergences in exchange for a possibility of positioning within the AI industrial chain. Capital is expressing with real money that it is more willing to pay a premium for this "long-term AI layout" rather than perpetually chasing after emotional frenzies that could end within several blocks.

Anthropic Accuses Alibaba of Distillation Attacks: Escalation of the AI Cold War

While capital was raising prices for Alibaba's "AI story," another dark thread from the regulatory dimension was pulled out: Anthropic had previously sent a letter to the U.S. Congress directly accusing Alibaba of carrying out large-scale "distillation attacks" on its large model Claude in an attempt to acquire Claude's model capabilities through this process. This letter was mentioned frequently in early August, but the public briefings neither provided a date for the correspondence nor disclosed the full contents of the letter, nor was there any official response from Alibaba. What the public could see were the one-sided accusations along with the silence on the other side.

所谓“蒸馏”，本身是AI行业里再常见不过的一条技术路线，用简化模型学习强模型的输出，以在更低成本下复用能力；真正有争议的是，当这种路线被用于在未经授权的前提下“对着商业模型照猫画虎”时，它究竟算不算构成对模型能力的非法复制，是否触碰知识产权红线。Anthropic把这一技术争议抬升到国会层面，很快被解读为中美AI博弈的又一个战场延伸：一端是希望借监管与立法巩固技术与市场优势的美国企业，一端是被指控在模型能力上“取道而行”的中国科技公司，背后牵动的是规则制定权、市场准入和国际竞争叙事。不过，在缺乏任何司法判决或监管裁定的前提下，这起事件仍停留在“指控”而非“定性”，外界此刻能做的不是替任何一方下结论，而是把它当作一个信号：AI的大国竞争，正在从参数规模和推理速度，延伸到对模型能力边界与知识产权秩序的重新划线。

Hong Kong Dollar Stablecoin and U.S. Stock Market: The Patience of the Builders

Looking from Hong Kong, the day's "builders" narrative has a quieter thread: the Monetary Authority has issued the first batch of relevant licenses, with DingDian Financial among them, preparing for a Hong Kong dollar-denominated token named HKDAP, expected to disclose its latest progress in August, yet deliberately refraining from mentioning the issuance time, scale, and anchoring mechanism, first building the license, model, and risk control framework. According to Standard Chartered Hong Kong's management, it will adopt a B2B2C approach, servicing enterprises through recognized distributors rather than directly rushing into the retail flow pool. This "slower beat" design is itself a testament to Hong Kong's quest for stability in the Web3 compliance path. Shifting focus to across the ocean, in the U.S. stock market pre-market, Micron Technology is down about 1.5%, while Oracle, CoreWeave, and Nebius are close to a 2% increase, with Amazon up about 1%, and Google and Microsoft near 1%. Current information hasn't directly linked this group of ups and downs to any macro event, yet it sufficiently outlines the profile of capital preferences: for computing power, cloud, and infrastructure assets, even marginal changes allow the market to pre-price. On the sides of the Hong Kong and U.S. stock markets, one side is the compliance Hong Kong dollar token pilot and licensing system gradually landing, while the other sees the stock prices of AI computing and cloud companies being quietly elevated. When viewed alongside the volatility of Meme coins like "Coin Have" that rose and fell dramatically on the same day, one can understand today's main thread: emotional cycles repeatedly create noise, but what truly rewrites the future asset landscape are still regulatory-approved on-chain asset forms and the entire set of infrastructure laying the foundation for the AI era.

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