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first_img The funding gap for Bitcoin mining companies is about 50 billion USD, and the borrowing costs for IREN and others are diverging

According to the Miner Weekly briefing published by BlocksBridge Consulting, Bitcoin mining companies expanding into the fields of artificial intelligence and high-performance computing are facing significantly different borrowing costs, with lenders increasingly scrutinizing large data center projects. The briefing points out that securing large AI clients is only part of the challenge; mining companies also need to raise billions of dollars to purchase computing power equipment, build data centers, and ensure the power infrastructure required for contract fulfillment. BlocksBridge indicates that large lending institutions have become more selective about data center loans, with decisions increasingly depending on client qualifications, contract terms, and project completion paths.The transition from Bitcoin mining to AI infrastructure by IREN reflects the differences in financing costs: the company secured $3.65 billion in GPU financing in June at a blended interest rate of 6%; in August, it completed another $2.4 billion financing with a fixed interest rate of 9%. The two agreements correspond to different projects and are not directly comparable, but they show that even within the same company, borrowing costs can vary significantly. Financing arrangements may also incur costs beyond interest; in another transaction involving Cipher Digital, Google guaranteed a $1.4 billion lease obligation in exchange for warrants representing a 5.4% equity stake in Cipher, with exercising the warrants potentially diluting existing shareholder equity.The rise in financing demand highlights the overall challenges mining companies face in entering the AI market. Data from VanEck shows that during the peak of the Bitcoin bull market in October last year, mining company debt surged by approximately 500% compared to the second quarter of 2024.

Gate held a VIP exclusive reception for the F1 Singapore Grand Prix, witnessing Verstappen's pole position victory alongside guests

From October 9 to 11, Gate, as the official sponsor and long-term partner of the F1 Red Bull Racing Team, hosted a VIP exclusive hospitality event during the 2026 F1 Singapore Grand Prix, inviting dozens of global VIP clients, core partners, and special guests to experience the unique charm of top-level motorsport. During the event, Red Bull Racing driver Max Verstappen started from pole position and ultimately won the race, achieving Pole to Win, while invited guests witnessed this exciting moment and shared in the joy of victory.This VIP hospitality event combined race viewing, premium reception, and exclusive brand experiences, providing invited guests with F1 Paddock Club luxury box viewing and brand interaction experiences. The Gate brand logo appeared in several key locations, including the rear wing, front wing, driver helmets, and race suits of the Red Bull Racing cars, showcasing the depth of the collaboration between the two parties. Previously, Gate had invited Red Bull Racing drivers Max Verstappen and Isack Hadjar to participate in a driver meet-and-greet and exclusive handprint ceremony during the TOKEN2049 event in Singapore, and hosted VIP private events to further enrich the forms of collaboration.From the TOKEN2049 international industry event to the F1 Singapore Grand Prix, Gate deeply integrates global top-tier event resources with high-end customer experiences, deepening its strategic cooperation and global partnership with the Red Bull Racing Team, expanding brand international influence, and promoting the integration of Web3 with mainstream culture.

first_img Karpathy: The cognitive gap in LLM capabilities is widening

Artificial intelligence researcher, OpenAI co-founder, and former Tesla AI director Andrej Karpathy stated on X that the gap in public understanding of the capabilities of large language models is widening, evolving from two groups talking past each other to a steeper funnel. He reiterated related posts from April and provided a layered estimate based on exposure.Karpathy noted that approximately 6 billion people (about 75% of the global population) have had little to no exposure to large language models; around 1 to 2 billion people (about 20%) only occasionally use free versions of ChatGPT-like products, often viewing them as better search or writing aids, with many non-technical individuals and professionals outside of mathematics and coding considering their utility limited. About 20 million people (0.2%) use cutting-edge models professionally in mathematics and coding, witnessing complex projects that previously took weeks or months being completed by agents under prompts, including building, copying, translating applications, and decompiling applications from binary. He mentioned that less than a year ago, he was still manually writing code word by word.Karpathy also stated that around 5,000 people (about 0.00006%) have internal access to cutting-edge systems. The previews seen externally involve thousands of agents collaborating for weeks on large software projects, cybersecurity, scientific discoveries, and mathematical frontiers, with human reviews starting to lag behind; for instance, events related to OpenAI and Hugging Face are still being sorted out months later, and mathematicians may spend a long time studying 722 cutting-edge mathematical manuscripts. He believes that this funnel is driven by the scale of problems and time spans, the prominence of capabilities in digitizable and verifiable fields, and the differences between free, paid, and internal access.

first_img Hyperliquid confirmed that its headquarters is located in Singapore, and the MAS stated that it is not within the regulatory jurisdiction

Hyperliquid Labs confirmed to the Financial Times that its registered headquarters is located in Singapore, but the Monetary Authority of Singapore (MAS) stated that due to Hyperliquid's decentralized nature, it does not consider the platform to fall under its regulatory jurisdiction. MAS indicated that it is not aware of Hyperliquid being regulated in any major jurisdiction.Hyperliquid stated that it is currently in an unregulated status, has never claimed to have obtained permission or authorization from MAS, and is willing to engage in constructive cooperation with regulatory authorities. According to FT, a team of about 11 people led by co-founder Jeff Yan has relocated to Singapore in 2024, and company documents along with recent recruitment information also indicate that it has an office in Singapore.Previously, on June 26, MAS had listed Hyperliquid on its investor warning list, which is used to alert the public about entities that may be mistakenly believed to be licensed or regulated by MAS. Hyperliquid responded at that time that being listed does not constitute a ban, enforcement action, or determination of misconduct, and described itself as an unlicensed infrastructure. Singapore will require local companies providing digital token services only to overseas clients to obtain a license starting from June 30, 2025, and MAS stated that such licenses will only be issued in very limited circumstances.
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