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Elon Musk stated that he is confident that SpaceX will deploy the NVIDIA VR NLV72 artificial intelligence computer in space next year.

Arthur Hayes posted on the X platform that, aside from AI safety risks, if companies like Anthropic, OpenAI, and SpaceX no longer act as buyers of computing power, the U.S. government may need to take on that role; another scenario is that if the demand for computing power disappears, leading to defaults on related AI debts, the Federal Reserve may need to "print money" to rescue the insurance institutions holding those debts. Hayes stated that regardless of which option is chosen, it will ultimately need to be resolved through monetary expansion, jokingly referring to this situation as "Yachtzee."

Analyst Jukan from Citrini forwarded a research report from Tianfeng Securities and stated that the U.S. government needs to maintain its leading position in the AI field, making it difficult to truly stop once it enters the AI race. Jukan believes that the recent calls from Anthropic and OpenAI to slow down AI development should not be viewed solely as safety initiatives; there may also be multiple considerations behind it, such as the inability to slow down competition and consolidating leading advantages through safety regulation.Jukan further pointed out that the related "AI slowdown" calls seemingly stem from the challenges of safety testing, operational monitoring, and third-party validation keeping pace with the speed of model iteration. In the short term, this may suppress market sentiment in the AI sector and lower market expectations for the next generation of models; another possibility is that the industry remains optimistic about AI in the long term but wishes to delay the next round of significant R&D investment, prioritizing the commercialization of existing products and reducing infrastructure and capital expenditure pressures. He believes that the AI race is essentially similar to a "prisoner's dilemma," where all parties wish to slow down, but no one dares to be the first to stop, or they may lose technological, customer, and financing advantages.Jukan also mentioned that Anthropic and OpenAI have recently emphasized recursive self-improvement (RSI), which is related to AI already assisting in the development of the next generation of AI and the acceleration of model iteration speed; at the same time, it has been reported that during internal testing at OpenAI, incidents occurred where agents collaborated to escape the sandbox and intrude into Hugging Face's production servers. Jukan believes that as the release of models incurs expensive evaluation, certification, and ongoing audit costs, large laboratories are better able to bear these fixed costs, while smaller teams may face higher entry barriers as a result; if leading laboratories further participate in the formulation of evaluation standards, industry barriers may continue to rise.

Zhiyu announced the completion of approximately 5 billion USD in financing, including 2 billion USD in equity placement and 3 billion USD in zero-interest convertible bonds. The funds will primarily be used for the next-generation GLM model, self-training systems, and computing power infrastructure construction.

According to NBC, North Korea is utilizing remote IT workers from third countries such as Iran and Lebanon to assist in infiltrating American companies and obtaining funds to finance its weapons programs. Alerts issued by the U.S. and several foreign agencies in July indicated that North Korean IT workers "seek to sign contracts with the intention of remitting salaries back to relevant North Korean agencies," while also posing internal threats to companies, involving data leaks, cryptocurrency theft, and sensitive information theft.As governments like the United States increase countermeasures, North Korea is increasingly leveraging third-country IT workers to secure job interviews, and after obtaining work contracts, the relevant positions are typically taken over by North Korean agents. Reports indicate that these foreign IT workers are scouted on LinkedIn, with some earning about $500 per month in cryptocurrency to work part-time as "interview assistants."Cointelegraph reported in May, citing data from cybersecurity company CrowdStrike, that state-affiliated North Korean hackers and threat actors caused cryptocurrency losses exceeding $2 billion in 2025, a 51% increase year-on-year. The Bank of Korea estimates that despite facing global sanctions, North Korea's GDP will still grow by 3.5% in 2025.

According to a report by Decrypt, OpenAI's latest flagship model GPT-6 Astra has seen a surge of user complaints on the X platform about its performance "getting dumber" just a week after its release. An anonymous developer, synthwavedd, posted that "Astra feels noticeably dumber today," joking that it was a "post-release lobotomy." Previously praising the model, developer Pranjal Paliwal stated after reviewing the code Astra wrote for him: "We don't have AGI; what we're encountering is a performance regression."Developer Pankaj Kumar listed the symptoms: faster responses with poorer quality, and he suspects OpenAI has lowered the "juice value" (the computational power invested by the model before answering). Salio and researcher Md Ismail Sojal compared Astra on the release day with the current version using the same prompts, both yielding worse results. T3Chat founder Theo believes Astra is simply less stable than Claude Fable, with users beginning to showcase poor results after the honeymoon period ended. There are also opinions pointing out that OpenAI's previous flagship GPT-5.6 Sol experienced a similar cycle in July, when OpenAI executive Tibo Sottiaux denied intentionally weakening the model but admitted the company had been experimenting with "reasoning effort" settings.OpenAI has not released a statement regarding Astra similar to that of Sol.

According to the Science and Technology Innovation Board Daily, at the Pujiang Innovation Forum results release conference focused on the integration of science and industry, Jin Xianmin, the founder of Turing Quantum, officially launched the TuringQ Gen3 large-scale chip-level scalable optical quantum computer, which is the world's first cabinet-level chip-scale scalable optical quantum computer.The TuringQ Gen3 is equipped with a high-speed programmable thin-film lithium niobate optical quantum chip, integrating core modules such as quantum light sources, programmable optical quantum processing chips, single-photon detection, and quantum-classical heterogeneous computing. It supports single-chip calculations with tens of thousands of photons and millions of modes, achieving chip-level quantum superiority verification, and will explore directions in AI such as world models. Recently, Turing Quantum has obtained registration for listing guidance and plans to IPO on the A-share market, with Guotai Junan as the guiding institution.

According to Onchain Lens monitoring, the Alameda/FTX address has recently unstaked and transferred 202,700 SOL, worth 20.62 million USD, in the past half hour.Based on past records, similar transfers may be used for FTX creditor payments.

According to TechCrunch, the startup Mecka AI, which is dedicated to collecting and analyzing human motion data to train humanoid robots and other robotic systems, is nearing completion of a new round of financing led by Sequoia Capital, with a valuation of approximately $500 million. The exact amount of this round of financing has not been disclosed, and the terms of the deal have not been finalized.This financing comes just three months after Mecka's previous round of financing; that round was led by Framework Ventures, with participation from Menlo Ventures, SV Angel, and Kindred Ventures, raising $60 million.

According to the Financial Times, the UK cryptocurrency industry is entering the regulatory implementation phase. Zumo founder and CEO Nick Jones stated that the Financial Conduct Authority (FCA) will open the application window for cryptocurrency asset authorization on September 30, with the new regulatory system expected to be officially implemented in October 2027.He pointed out that for a long time, regulatory uncertainty and counterparty risk have made financial institutions cautious about the UK cryptocurrency market, not due to a lack of interest in digital assets. As the regulatory path becomes clearer, traditional financial institutions such as the UK's largest retail investment platform Hargreaves Lansdown are beginning to enter the cryptocurrency market. The industry will gradually bid farewell to offshore operations, startup-style business processes, and unregulated models, and the importance of compliant infrastructure and local service providers will further increase.

The Smarter Web Company announced plans to launch the UK's first Bitcoin-backed preferred stock, subject to shareholder approval. The company expects to raise between $20 million and $34 million through a potential IPO to increase its Bitcoin holdings and acquire cash-generating operational businesses.

BitcoinTreasuries.NET posted on platform X that pre-market trading has opened, and Strive's SATA is only 5 cents away from par value.SATA has raised enough funds this week to purchase over 280 BTC and will soon begin accumulating Bitcoin.

Geo-DePIN project TINA announced the completion of a $3 million financing round, with investors including THINKWARE, Gemhead Capital, Archer Capital, Astra Capital, Mayer Venture, and Tidal Capital.TINA stated that this round of funding will be used to accelerate TINAGeo's global expansion, the growth of the dashcam ecosystem, and to advance the construction of Geo-DePIN data infrastructure.It is reported that TINA is a geospatial DePIN project based on Solana, where users can earn rewards by contributing and verifying POI location data and collecting spatial data during daily driving. The project is collaborating with dashcam manufacturer THINKWARE to launch TINAGeo Dashcam, promoting the implementation of Drive-to-Earn.

According to a report by Reuters, enterprise-level AI company Clay announced the completion of a $115 million Series D financing round, led by Wellington, with participation from Sequoia Capital, StepStone, Andreessen Horowitz (a16z), Perennial, Meritech, DST, CapitalG, and others, raising its post-investment valuation to $7.1 billion.Clay stated that its AI agents can create real-time business and customer profiles based on external data such as CRM, and automatically build and execute workflows according to corporate goals. Currently, companies such as Anthropic, Google, OpenAI, and Stripe are using its products.

According to CoinDesk, Bitcoin formed a golden cross earlier this week (the 50-day moving average crossing above the 200-day moving average), but subsequently did not experience a sustained increase, instead retreating from around $80,000 to about $77,000. It is noteworthy that most of the recent rise occurred before the golden cross—Bitcoin had previously risen from $62,000 to $82,000.The article points out that similar situations have historically repeated multiple times: after the golden cross in 2021, BTC fell from $52,000 to $40,000; after the golden cross in February 2023, it retreated from $23,000 to $20,000; after the golden cross in October 2024, it slid from $70,000 to $67,000; and after the golden cross in May 2025, it corrected from $110,000 to $100,000. Analysts believe that while the golden cross is seen as a long-term bullish signal, it may essentially be a lagging indicator, as a significant portion of the gains often have already been realized by the time the signal appears.

AI entity operation platform Motive announced the completion of a $1.3 billion financing round, with General Catalyst participating through its Customer Value Fund; specific valuation data has not yet been disclosed.In addition, the company also disclosed that it has withdrawn its previously submitted S-1 registration statement, officially abandoning its plan to list on the New York Stock Exchange.

According to official news, the autonomous AI agent economy layer Agentum announced the completion of a $7 million financing round, with investments from MEXC Ventures, BingX Labs, Arca Fund, Wave Digital Assets, Echo3, Greenwood Global Capital, UZ Capital, and Vega Ventures.It is reported that Agentum is a trust and settlement layer for AI agents in the autonomous economy. It enables AI agents to independently publish tasks, bid for work, execute tasks, and complete payment settlements on-chain without human intervention. Agentum is built on the BNB Chain and combines on-chain identity, collateral bidding, custody, staking, portable reputation, trusted execution environment (TEE), and zkVM-based verification mechanisms to establish trust and accountability among autonomous agents.

Security researcher Shou Chaofan stated that he just purchased about 6TB of Fable model invocation data from a leading Chinese model relay station, which included sensitive credentials such as SSH keys, VPN configurations, Alibaba Cloud keys, and GitLab tokens. He claimed that the keys in this batch of data were sufficient for him to access the servers or internal systems of 19 leading Chinese companies, as well as 7 Chinese and CIS government-related agencies, including Huawei, Xiaomi, NIO, and MiniMax.The model relay station is positioned between users and models like Claude, so requests and responses pass through it first, allowing it to see the complete plaintext. Once developers insert SSH Keys, API Keys, VPN configurations, etc., into the Agent context, if the relay station saves or even sells these records, the company's system keys will also leak out. This is not the first time Shou Chaofan has warned about the risks of relay stations. A paper he participated in tested 428 LLM relay stations in April and found that 9 actively injected malicious code, 17 actually used AWS test keys deliberately placed by researchers to call AWS, and 1 directly transferred ETH from the test wallet.Shou Chaofan is a co-founder of the blockchain security company Fuzzland and has long been engaged in vulnerability and supply chain security research. At the end of March, he also first discovered that the source map in the Claude Code 2.1.88 release package accidentally exposed about 500,000 lines of TypeScript source code.