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Gate launches AI potential stock feature, pioneering a new model for intelligent stock selection before market opening

According to official news, Gate has launched the AI Potential Stocks feature. This feature will scan market volume and price anomalies, major events, industry news, and related news clues through AI before each trading day, helping users quickly understand the main themes that the market may focus on that day, the relevant reasons, and the subsequent transmission direction. The AI Potential Stocks feature is the first to introduce AI research capabilities and supply chain analysis into the cryptocurrency industry market research scenario, upgrading the AI-driven pre-market investment research experience. This feature will focus on markets such as US stocks, Hong Kong stocks, and Korean stocks, selecting 2-3 stock clues that have capital verification, news support, and may not have been fully noticed yet. The content will revolve around three dimensions: "what to pay attention to, why to pay attention, and how the impact extends," helping users efficiently complete pre-market information screening.AI Potential Stocks focuses on market theme rotation, volume and price anomalies, and major news signals, helping users understand the logic behind changes in market focus rather than simply displaying popular stocks. In addition, Gate will continue to improve its push notification capabilities around AI Potential Stocks, forming a mechanism for timely pre-market summaries, major event reminders, and personalized attention updates. The AI Potential Stocks feature is now supported on Gate App v8.31.0 and above; users can access this feature through the bottom navigation bar [TradFi] - [Stocks] list; web users can enter through the market page or directly visit the feature page to use it. In the future, Gate will continuously deepen the construction of AI research capabilities, improve the AI-driven investment research analysis system, and continuously optimize event version content, major event reminders, and personalized summaries around AI Potential Stocks, gradually forming a mechanism for information delivery that combines pre-market summaries, event reminders, and user attention updates, providing users with more timely and clear market references.
10 hours ago

Jensen Huang announced at the shareholder meeting that the era of intelligent agents has arrived, with full-scale production of the exclusive Vera CPU

According to Wall Street News, NVIDIA CEO Jensen Huang announced at the annual shareholder meeting that the era of AI agents has officially arrived. He redefined the new type of data center as an "AI factory" specifically for producing tokens, and revealed that the new Vera CPU and Vera Rubin platform, designed to meet the ultra-low latency demands of agents, have fully entered mass production. Huang emphasized that as AI creates substantial economic value, the demand for computing power is showing an accelerating expansion trend, and its core software ecosystem CUDA is gradually transforming into a toolbox dedicated to agents.Regarding market access and compliance, Huang revealed that the U.S. government has now approved the export of H200 chips to Chinese customers, but this business has yet to generate any revenue, and there remains uncertainty regarding actual importation. At the same time, he rarely issued a public warning about the risks of chip smuggling, clearly stating that NVIDIA will not provide any hardware or software support and repair services for restricted smuggled products, and bluntly said that relying on smuggling to piece together advanced AI data centers is a "dead end." Additionally, he reiterated the long-term commitment to capital returns, planning to return over 50% of free cash flow to shareholders.

The AI and intelligent driving track continues to be active, with Gate NVIDIA (NVDAX) and Tesla (TSLAX) contracts performing first in the world

With the growing demand for AI computing power and the continuous development of the intelligent driving industry, technology leaders such as Nvidia and Tesla continue to attract market attention. According to Gate market data, Nvidia (NVDAX) is currently priced at $205.86; Tesla (TSLAX) is currently priced at $392.22. CoinGlass data shows that the NVDAX contract position on the Gate platform has reached $3.35 million, with a 24-hour trading volume of $4.13 million, both ranking first in the world; the TSLAX contract position on the Gate platform has reached $3.87 million, with a 24-hour trading volume of $2.91 million, also ranking first in the world. Relevant data indicates that AI computing power and intelligent driving-related assets remain an important focus for market funds.In addition, the new public course section of Gate Live will launch its first stock series on June 10 at 16:00 (UTC+8) titled "How to Participate in the US Stock Market with USDT." This public course will share insights on Gate's stock products, coverage of stocks and ETF assets, and core highlights of the products. Leveraging Gate's unified account system, users can achieve one-stop management and allocation of digital assets and global securities assets on the same platform, further enhancing cross-market investment efficiency.

first_img Xiao Feng: Digital currency is the blood of the intelligent economy, and the existing banking payment system cannot support AI micro-payments

ChainCatcher reported live that HashKey Group Chairman Xiao Feng shared a keynote speech titled "Innovation of Economic Models for Intelligent Agents—The Fusion Revolution of AI Tokens, Blockchain Tokens, and Fully Homomorphic Encryption" at this year's 2026 Hong Kong Web3 Carnival. He pointed out that the two major business characteristics of blockchain technology are trustlessness and permissionlessness, but public transparency leads to data exposure, making it difficult for compliant institutions like banks to directly go on-chain. With fully homomorphic encryption chips expected to be launched in the second half of this year, achieving performance of about 1000 transactions per second, privacy computing technology is about to reach commercial thresholds.He proposed that the fusion of AI Tokens, blockchain Tokens, zero-knowledge proofs, and fully homomorphic encryption technology is the ultimate form of the intelligent agent economy. He used hospitals as an example: medical data, after being fully homomorphically encrypted, becomes Tokens, and anyone can call the data for computation through the blockchain in a permissionless manner, but cannot access personal privacy information, thus turning hospitals into "Token factories." Individuals can also put their encrypted health check data on-chain, issuing demands to global insurance companies, which can calculate and provide personalized optimal insurance plans in an encrypted state using their actuarial models, eliminating the need for insurance brokers and intermediaries.He specifically corrected a common misunderstanding: AI Tokens are not the currency unit of the intelligent agent economy, but rather the means of production, encompassing everything from electricity, chip computing power, to large models, algorithms, and applications, depicting the production process of intelligent agents. The currency of the intelligent agent economy must be programmable, divisible, and capable of real-time settlement, because when AI Agents call APIs, they may only need a few cents each time, and the costs of existing banking payment systems cannot support such small payments. Digital currency is the "blood" of the intelligent agent economy, and a brand new financial service system designed for machines rather than humans will definitely emerge in the future.
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