数据：GMGN KOL 榜单显示 Jimothy 备受关注，获取多位KOL净流入
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Data: GMGN KOL rankings show that GOON has garnered significant attention, attracting net inflows from multiple KOLs.
According to Mars Finance and GMGN data, the top 5 tokens with the largest net inflows from KOLs in the past 24 hours are as follows: 1.GOON (8QjD....ump): Net inflow of $2,000, a decrease of 69.2% in the past 24 hours, currently trading at $0.0001. 2.ANSEM (9cRC....ump): Net inflow of $1,000, an increase of 2.3% in the past 24 hours, currently trading at $0.1693. 3.chuchu (F1Gi....ump): Net inflow of $996, an increase of 2634.6% in the past 24 hours, currently trading at $0.0001. 4.BOT (DJXF....bot): Net inflow of $917, 24-hour change -89.3%, currently trading at $0.0001. 5.OSCAR (EwD4....ump): Net inflow of $886, 24-hour change 530.4%, currently trading at $0.0001.
Data: GMGN KOL rankings show that Money is receiving significant attention, with multiple KOLs showing net inflows.
According to ChainCatcher and GMGN data, the top 5 tokens with the highest net inflows from KOLs in the past 24 hours are as follows: 1.Money (DhEr....ump): Net inflow of $7,000, a 4487.6% increase in the past 24 hours, currently trading at $0.0003. 2.ZERO (Emcx....ump): Net inflow of $3,000, a -31.8% decrease in the past 24 hours, currently trading at $0.0022. 3.piss (DXXc....kbu): Net inflow of $836, a 1354.2% increase in the past 24 hours, currently trading at $0.0001. 4. のん (J8pJ....ump): Net inflow of $480, up 799.4% in the past 24 hours, currently trading at $0.0001. 5.infinity (91Nz....ump): Net inflow of $409, up 68.9% in the past 24 hours, currently trading at $0.0001.
Each version brings a new meta; ANSEM's market capitalization surpasses that of Trump.
BlockBeats reports on July 7th that the launch of Trump's namesake meme coin, Trump, in January of last year seemed to mark the end of an era. A year and a half later, crypto KOL Ansem appears poised to "make memes great again" single-handedly. According to GMGN data, as of press time, the circulating market capitalization of ANSEM tokens is $417 million, surpassing Trump's $395.8 million. It should be noted that 65% of ANSEM tokens were originally allocated to Ansem himself, but this portion was not locked. Ansem has been continuously using this share for airdrops and community incentives. Therefore, this 65% share is not considered locked. Currently, after several rounds of distribution, Ansem's share has decreased to 58.43%. BlockBeats Note: Meme coin trading is highly volatile, heavily reliant on market sentiment and hype, and lacks real value or use cases. Investors should be aware of the risks.
Data: GMGN Smart Money 24-hour net inflow ranking, ANSEM tops the list.
According to Mars Finance and GMGN data, the top 5 tokens with the largest net inflows of smart money in the past 24 hours are as follows: 1.ANSEM (9cRC....ump): Net inflow of $30,000, down 29.4% in the past 24 hours, currently trading at $0.279. 2.Jotchua (BcHE....ump): Net inflow of $8,000, down 26.2% in the past 24 hours, currently trading at $0.004. 3.TROLL (5UUH....gH2): Net inflow of $5,000, down 15.2% in the past 24 hours, currently trading at $0.0495. 4.Cupsey (6Nwa....ump): Net inflow of $5,000, up 1096.4% in the past 24 hours, currently trading at $0.0069. 5.DADDY (4Cnk....ump): Net inflow of $3,000, down 8.9% in the past 24 hours, currently trading at $0.0156.
More severe than the dot-com bubble: Token consumption plummeted by 20%, and the gap between AI investment and sales growth reached 46%.
According to Beating's monitoring, the Silicon Data LLM Token consumption index, which tracks users' actual computing power expenditure, has fallen nearly 20% from its May high. This sudden halt in high growth sends a crucial warning to investors: large model vendors may be losing pricing power with cost-sensitive clients, and it has also raised doubts about the ultimate return on investment for the hundreds of billions of dollars in AI capital expenditure. The divide between bulls and bears has intensified. Bears point out that Allianz Research data shows the growth gap between AI investment and sales has reached 46%, exceeding the 32% imbalance seen during the 2001 telecom bubble burst. Bulls counter that while the average token price has plummeted by 90% since 2023, total expenditure has still nearly doubled, meaning the index decline is merely a structural digestion after price cuts stimulated consumption, and the long-term return on investment in the inference phase is far more optimistic than in the training phase. Increased policy regulation is translating into hidden compliance costs for enterprise users. Washington has imposed stronger policy scrutiny on the distribution and cross-border access of cutting-edge models (such as the release review of OpenAI and geopolitical export controls on Anthropic models). Coupled with the EU's Artificial Intelligence Act's stringent compliance requirements for top-tier models, this has placed a heavy policy burden on leading platforms. To mitigate geopolitical and compliance risks, corporate CFOs have a more rational reason to proactively shift their workloads towards lightweight models that are less subject to regulatory constraints. Subtle changes are also emerging in the hardware chip sector. Although orders for top-tier GPUs and high-bandwidth memory (HBM) are booked until 2026, with substantial supply-demand easing not expected until 2028, the market's main procurement focus has shifted from training chips to inference optimization hardware, and the winners are being reshuffled.
The US Independence Day amnesty targets three groups, potentially becoming a new tool for Trump to win over the public.
According to BlockBeats, on July 3rd, the 250th anniversary of American independence, the White House is discussing a proposal to grant a presidential pardon to 250 people. It is understood that "President Trump will be the final decision-maker for all pardons." This news has sparked heated discussions in the community: if the pardon proposal passes, who should be pardoned? Some analysts point out that the 250th anniversary pardon list should emphasize symbolic and public interest dimensions, highlighting the image of "merciful America" or correcting cases considered "weaponized justice." In the actual decision-making process, lobbying, political loyalty, public attention to high-profile cases, and potential economic, diplomatic, and presidential benefits will all be important considerations. Therefore, white-collar/financial criminals; reformed, non-violent criminals; and criminals involved in high-profile/symbolic cases or "politically/policy-related" cases are the three groups most likely to be pardoned. Based on publicly reported cases, applications, prediction markets, and historical discussions, BlockBeats has compiled the following list of individuals involved in highly controversial federal cases: White-collar/Financial Criminals: Former FTX executive Ryan Salame and FTX founder SBF are undoubtedly worthy of serious consideration by Trump. Since his second election, Trump has consistently portrayed himself as a crypto supporter, and given his continued need for substantial crypto community support during his midterm elections, Ryan Salame and SBF are undoubtedly top contenders for the pardon. Other media reports indicate that Jho Low, a key figure in the 1MDB multi-billion dollar misappropriation case, has reached an asset recovery agreement with the U.S. Department of Justice and has therefore been included on the pardon list. Rapper Pras Michel, convicted of lobbying efforts related to the 1MDB scandal, is also under consideration. In addition, businesswoman Elizabeth Holmes, embroiled in the largest tech fraud case in history for founding the blood testing company Theranos, is also a hot topic in the community. Goodly Rehabilitated, Non-violent Offenders: Nicole Daedone was convicted of conspiracy to force labor by a federal court and sentenced to nine years in prison for founding OneTaste. OneTaste reportedly promoted wellness programs such as "orgasm meditation," and was accused of forcing employees (including women) to participate in sexually related labor and "intimate practices" under the guise of "volunteer work," creating a systematic forced labor environment. Nicole Daedone's release was highly anticipated in the market. The reason is that the wellness industry background might be interpreted as a "controversial business model" rather than extreme crime, easily fitting into the "goodly rehabilitated" narrative. Political Prisoners: WikiLeaks founder Julian Assange was charged with violating the Espionage Act for publishing a large number of classified US documents (including Iraq/Afghanistan war logs and diplomatic cables). In 2024, he reached a plea agreement with the US Department of Justice (on a lesser charge) and was released, returning to Australia. Edward S