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Gate Founder and CEO Dr. Han: Gate Money connects assets, funds, and payments, reshaping the new landscape of digital finance

During a live AMA interview hosted by CoinMarketCap, Gate founder and CEO Dr. Han discussed the development direction of digital finance, the product positioning of Gate Money, and the accelerated integration of digital assets with traditional finance.Dr. Han stated, "The future of digital finance lies not only in providing more asset choices but also in connecting assets, funds, and payments, allowing users to manage assets, transfer funds, and meet daily payment needs more conveniently within one ecosystem." Upholding the core concept of "One Gate, Everything Money," Gate Money integrates services such as digital assets, fiat currency, stocks, ETFs, gold, bank accounts, payments, and asset management into a single account, covering scenarios like asset holding, receiving payments, transferring, exchanging, paying, and earning. Users in eligible regions can also open an e-banking account with the same name and use the Gate Card for online and offline consumption with fiat or digital assets, further bridging asset allocation and daily payment scenarios.Regarding the accelerated integration of digital assets and traditional finance, Dr. Han also explored the roles of stablecoins and asset tokenization in cross-border capital flow, on-chain settlement, and financial service innovation. As user demands extend from single transactions to investment management, fund transfers, and daily consumption scenarios, Gate will continue to expand the asset categories, payment methods, and service capabilities of Gate Money, enriching the application of digital assets in diverse financial scenarios and providing users with a more integrated financial service experience.

Interlace, together with ecological partners, has initiated a white paper on stablecoin payment infrastructure, exploring the path from on-chain settlement to real-world payments

The stablecoin infrastructure platform Interlace announced a joint initiative with multiple industry partners, including OSL, AllScale, Stable, Hetu, Cregis, WIDTH, KEM, and KTX, to launch the white paper titled Stablecoin Payment Infrastructure: From On-Chain Settlement to Real-World Payments. As stablecoins evolve from crypto-native financial instruments into global financial infrastructure, stablecoin payment activity is also growing rapidly. In Q1 2026, stablecoin transaction volume exceeded $28 trillion, while stablecoin B2B payments reached $226 billion in 2025, representing a 733% year-over-year increase. However, as stablecoin payments expand into real-world commercial use cases, the industry still lacks a systematic framework for defining the capabilities covered by stablecoin payment infrastructure and how on-chain assets can be connected with real-world commerce. The white paper will focus on this gap, covering key topics such as stablecoin payment infrastructure, end-to-end costs, compliance and risk management, and enterprise-scale adoption. Drawing on industry data, practical experience, and real-world cases, it will further explore the development path of stablecoin payment infrastructure. The full white paper is expected to be officially released within the next 1-2 months.

first_img Grayscale Research Director: Cheaper Proxy AI Will Drive Up Computing Power Demand

Grayscale's Research Director Zach Pandl stated in his column The Stack on October 8 that the rising demand for AI is due to decreasing usage costs and technology's ability to perform tasks more autonomously, thereby increasing the demand for computing power and the physical infrastructure that supports AI. Lower costs can unleash more AI activities, and the low-cost competition of open-source weight models is driving down token prices, making cheaper intelligence economically viable for more applications and automated workflows.The article cites that Anthropic's latest Sonnet model claims to reduce the cost of each task by up to 30%; OpenAI's always-on agent dots, launched on September 29, can work towards user goals around the clock, potentially significantly increasing the demand for computing power. Pandl compares that chatbots primarily answer questions, while agents execute multi-step processes to achieve goals, with tasks like preparing for client meetings potentially consuming 5 to 50 times the tokens of a single chat interaction, and always-on agents may extend processing beyond a single conversation.Pandl cites Goldman Sachs' prediction that by 2030, token consumption could increase 24 times, primarily driven by agents; even with improved efficiency, if usage grows faster, the total demand for computing power may still rise. He points out that digital activities still rely on physical infrastructure that requires time to deliver, such as electricity, data centers, and GPUs, and cheaper AI can coexist with tight computing power supply, mentioning that CoreWeave recently signed new contracts at higher computing power prices. His conclusion is that cheaper intelligence and stronger agents may expand use cases and usage enough to offset efficiency gains, thereby supporting the demand for scarce computing power and benefiting its owners.

Papertrade responds to concerns about price manipulation and protocol vulnerabilities: the relaxed position limit in the early stages of launch is the cause, and parameters have begun to tighten

Papertrade's official response to the allegations of price manipulation and the existence of obvious loopholes in the protocol states: It has never been possible for small orders to have the same priority as large orders. If this were done, the front end would suffer from congestion due to junk trading, and the consequences would be much worse than the existing queuing mechanism.Under these constraints, we have designed the fair launch to be as inclusive as possible.Last night, the attempts to manipulate BTC/ETH on Hyperliquid BBO were not due to flaws in the mechanism that took six months to design. These situations had already been considered; it was only because the position limits were set very loosely in the early stages to cope with congestion that such occurrences were possible. If position limits were set during peak demand for launching, it would only exacerbate the slow experience, and the queuing mechanism itself, due to the uncertainty of opening/closing confirmation times, naturally provides protection against manipulation.As congestion eases, we have begun to tighten position limits on-chain and at the relay level. In such a system, manipulation attacks are always possible— the key is whether the attempt is economically viable. The official goal is to set parameters to a point where it is almost never profitable; even if successful, the tail risk is extremely high, and the expected value is negative.
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