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Zhao Changpeng: AI cannot solve the inflation problem, Bitcoin has unique value storage properties

Binance founder CZ recently posted on social media that artificial intelligence (AI) and Bitcoin (BTC) serve different functions; AI drives productivity improvements, while Bitcoin is used to combat inflation and protect wealth. CZ stated, "AI is great, but it cannot protect you from the effects of inflation; Bitcoin can."CZ believes that the market often views AI and Bitcoin as two major hot investment themes, but their natures are fundamentally different. AI is a technology that enhances business efficiency and economic productivity, while Bitcoin is a digital asset with a fixed supply. He pointed out that the AI industry is rapidly developing, with global companies continuously investing billions of dollars in AI software, data centers, chips, and other infrastructure, driving transformations in various sectors such as healthcare, finance, and manufacturing. However, AI companies can issue more shares and raise funds for expansion, and their investment value still depends on business performance and market competition. In contrast, Bitcoin has a total fixed supply of 21 million coins, and holders possess a non-dilutable scarce asset. CZ believes this characteristic gives Bitcoin long-term value storage properties, providing protection when the purchasing power of fiat currency declines due to inflation.CZ has also previously stated that the AI boom may attract some funds that would have originally flowed into the Bitcoin market. As AI companies like OpenAI and Anthropic gain more capital attention, some investors may sell other assets to allocate to AI-related investments. However, CZ believes that AI and Bitcoin are not in competition; rather, they should be viewed as complementary assets: AI drives technological advancement and productivity improvements, while Bitcoin offers a way to store value that is unaffected by supply expansion.

GPUS treasury surpasses 1,000 BTC, Metaplanet issues $137 million in new shares to sprint towards year-end goals

According to BBX data, yesterday the global US stock market and companies listed on the Tokyo Stock Exchange made significant moves in the accumulation of digital asset reserves. The latest updates from two core companies are as follows:GPUS core treasury breaks the 1,000 mark: Artificial intelligence data center company Hyperscale Data, Inc. (NYSE American: $GPUS) officially announced that the number of bitcoins held in its treasury has officially exceeded 1,000. Management stated that the company will continue to closely align with market conditions and existing capital allocation opportunities, supported by its core data center business, to continuously manage and expand its bitcoin reserve scale.Metaplanet raises $137 million through targeted private placement: Metaplanet Inc. (TSE: $3350) announced that it will issue new shares to specific institutional investors through the Third-Party Allotment mechanism under Japanese securities law, aiming to raise approximately $137 million (equivalent to 21.4 billion yen), with all funds to be used for purchasing bitcoin. The company accumulated 2,823 BTC in Q2 this year, and as of June 30, its total holdings have reached 43,000 BTC (valued at approximately $2.67 billion). Based on the current market price of about $62,000 per coin, this lightning private placement is expected to add approximately 2,210 BTC to its reserves, helping it strive towards its ultimate goal of 100,000 BTC by the end of the year.

Kingsoft Cloud accelerates GPU computing power construction, securing a budget of 10 billion from Xiaomi and a long-term contract worth billions from Alibaba

According to reports from Jiemian News, Kingsoft Cloud will accelerate the construction of GPU computing clusters in the second half of the year to meet the explosive growth in computing power demand from major clients. Among them, Xiaomi's demand for Kingsoft Cloud's GPU computing power has upgraded from a ten-thousand-card cluster, with the related budget significantly increasing from nearly 4 billion yuan to over 10 billion yuan. In addition, Alibaba's large model team has signed a 5-year computing power leasing contract with Kingsoft Cloud, involving more than 3,000 eight-card GPU servers. Based on the contracted price, the annualized revenue after full delivery will exceed 4 billion yuan.To meet the surging customer demand, Kingsoft Cloud's capital expenditure plan for 2026 has been raised to 15 billion yuan, with an annual revenue target of 12.5 billion to 13.5 billion yuan. It is reported that due to tight upstream supply, Kingsoft Cloud is currently only accepting long-term contracts from clients for 3 to 5 years, and some orders are facing delivery delays. Due to concerns about the risk of impairment of high-level card assets, Kingsoft Cloud is currently pausing aggressive hardware expansion, anticipating that the prices of computing hardware may reach a turning point for decline in the third quarter of this year.

Zhao Changpeng: Binance's Greek MiCA license application was close to approval but was forced to withdraw due to external factors

According to The Block, Binance founder Zhao Changpeng stated that the MiCA license application submitted by Binance in Greece fully complied with regulatory requirements and was close to approval before being withdrawn, but ultimately the process was interrupted due to "external political factors."In an interview, Zhao Changpeng mentioned that several countries within the EU had expressed interest in the license, and there was even a certain degree of "competitive pursuit," but the regulatory progress was ultimately affected by non-regulatory factors, forcing the application to be withdrawn. Binance officially withdrew its application in Greece last week and stated that it would turn to other EU member states to continue pursuing MiCA authorization.In response to market rumors regarding his connections with high-level EU politicians, Zhao Changpeng stated that he had not seen any verifiable documents and only saw similar claims online, which he did not confirm. Zhao Changpeng also pointed out that the EU MiCA transition period will officially end on July 1, at which time platforms that have not obtained licenses must cease related services. Regulatory agencies in various countries have made it clear that they will not postpone enforcement, and they evaluate this outcome as a "lose-lose situation," using the regulatory processes in Japan and Singapore as examples to emphasize that compliance processes often require a longer period.Additionally, when discussing Strategy's STRC preferred stock product, Zhao Changpeng stated that its structure is "too complex" and expressed difficulty in fully understanding its mechanism, but emphasized that he does not comment on the credibility of its founder Michael Saylor, considering him a "staunch supporter of Bitcoin."

Zhao Changpeng: The correction in the cryptocurrency market is influenced by the diversion of funds to AI, geopolitical situations, and cyclical factors

According to CoinDesk, Binance founder Zhao Changpeng stated that the significant decline in the crypto market in the first half of 2026 does not have a single cause. Geopolitical tensions, investors shifting funds to AI, and the typical four-year cycle of crypto may collectively lead to the continued decline of Bitcoin and other crypto assets. Bitcoin reached a historical high of over $126,000 last October and has since fallen by about 50%. At the beginning of this year, Bitcoin opened near $89,000, briefly rose to just above $96,000, and then dropped to around $60,000.In the long term, the crypto industry will continue to develop, and the demand for fintech will increase as the number of transactions continues to rise, so they are not concerned about the industry itself or short-term price fluctuations. They stated that emerging industries like AI are absorbing "hot money" from the crypto sector, but in the long run, this could be a positive factor. When discussing prediction markets, Zhao Changpeng mentioned that the rapid growth of prediction markets as tools for price discovery and liquidity is a good thing for the public.Regarding regulation, Zhao Changpeng stated that separate bills like the U.S. Clarity Act are important but more tactical matters that will not determine the long-term growth of the crypto industry. He hopes the Clarity Act can pass and believes that if U.S. legislation is delayed, other countries may take the lead in advancing rule-making.Zhao Changpeng also mentioned that if the U.S. Democratic Party regains control of at least one chamber of Congress after the midterm elections, there may be a review of Trump's support for the crypto industry and his pardons for crypto executives. Zhao Changpeng stated he "has nothing to hide" and is willing to cooperate if relevant parties seek information. When discussing political influence, Zhao Changpeng said he tries to stay away from U.S. politics but believes that any anti-crypto individuals may now lose a significant number of votes.

OpenAI has launched the next generation GPT-5.6 series models, currently available only to trusted partners using Codex and the API

According to official news, OpenAI has officially launched the preview version of the next-generation GPT-5.6 series models, including the flagship model Sol, the balanced model Terra, and the fast low-cost model Luna. GPT-5.6 introduces a brand new maximum reasoning effort and features a super strong mode that accelerates complex tasks through sub-agents.The flagship model Sol introduces the Ultra mode, which combines maximum reasoning intensity with sub-agent collaboration. In the Terminal-Bench 2.1 command line workflow test, Sol achieved a score of 88.8%, which increased to 91.9% in Ultra mode, surpassing GPT-5.5's 83.4% and Claude Fable 5's 88.0%. The mid-range model Terra performs close to GPT-5.5 while being priced at half, and the lightest model Luna is designed specifically for everyday automation tasks. Sol is priced at $5 per million input tokens and $30 for output, and it supports reducing secondary call costs by utilizing prompt caching.In terms of security, the security assessment confirmed that Sol did not exceed the critical thresholds of the Preparedness Framework cybersecurity. OpenAI has invested over 700,000 A100 equivalent GPU hours in automated red team exercises, equipping the entire series of models with a defense stack that includes rejection mechanisms, real-time abuse classifiers, and account-level audits. Although the current limited release follows the U.S. government's security framework, OpenAI emphasizes that it does not want a government-led access mechanism to become the long-term default model, as it would limit defenders' access to cutting-edge tools.
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