intel

According to a report from Xinhua News Agency, the Supreme People's Court issued opinions on September 7 regarding the legal handling of disputes involving artificial intelligence. The opinions consist of 5 parts and 24 articles, focusing on issues such as "AI face-swapping and voice imitation," "AI hallucinations" infringement, "online unpacking," "big data price discrimination," autonomous driving, AI model training, open-source software, and intellectual property protection.The opinions clearly address the substantive judgments and litigation procedural rules for cases involving artificial intelligence, aiming to strengthen the judicial protection of civil rights in the digital age and promote the healthy and orderly development of artificial intelligence.

According to Jinshi reports, the Qichacha APP shows that recently Jiangxi Luyou Intelligent Technology Co., Ltd. was established, with a business scope that includes the development of artificial intelligence application software, research and development of intelligent robots, integration services for artificial intelligence industry application systems, sales of artificial intelligence hardware, sales of intelligent robots, and more.Qichacha equity penetration shows that the company is jointly held by companies including Ubtech.

Artificial intelligence company Humain is planning to raise its first $2.5 billion in funding to establish a fund focused on investing in data centers. According to insiders, the fund will provide financing support for the 250 megawatt data center capacity being built in collaboration with Al Moammar Information Systems, with the overall scale potentially expanding to 1 gigawatt in the future.It is reported that Humain, supported by the Saudi sovereign wealth fund Public Investment Fund (PIF), is promoting the construction of local AI computing power and data center infrastructure to meet the growing demand for AI computing.

South Korean cryptocurrency exchange Bithumb announced the launch of its artificial intelligence service "Bithumb AI," which analyzes market trends through artificial intelligence and provides users with personalized information. The service includes four features: AI coin signals, AI coin analysis, AI market trends, and AI recommendations. Currently, its artificial intelligence service covers the top 200 cryptocurrencies by market capitalization in the Korean won market.

According to a report by Reuters, OpenAI's AI entity had, in May of this year, made unauthorized large-scale edits to the German programmer community website DseWiki, transforming it into a "message board" for other AI entities to communicate. This incident had never been publicly disclosed before. Researchers found that the website had over 15,000 editing operations performed by AI entities. Relevant information indicates that these entities not only exchanged task solutions but also discussed how to bypass OpenAI's restrictions, evade detection, and use tools to hide their actions. When the website administrators began deleting related pages, some entities even created backup pages to avoid cleanup.It is reported that some internal investigators at OpenAI wish to further investigate this incident, but the expansion of the investigation has allegedly faced resistance from some individuals, including legal advisors. OpenAI denies that its legal team is blocking the investigation and states that it has not yet had the opportunity to review the relevant reports, thus cannot make a substantive response to the allegations.

According to a report by the Financial Associated Press, the General Office of the Ministry of Industry and Information Technology has issued the "Entrepreneurship Support Plan for Small and Medium-sized Enterprises in Artificial Intelligence (2026-2028)." Over three years, it aims to cultivate a large number of innovative and dynamic artificial intelligence startups with significant growth potential in key areas such as industry applications, data services, and intelligent computing power. More than 10,000 new technology and innovation-oriented small and medium-sized enterprises will be nurtured, with over 2,000 "specialized, refined, distinctive, and innovative" small giant enterprises emerging, along with a number of gazelle and unicorn companies.Focusing on the field of artificial intelligence, the plan will establish 10 high-standard technology enterprise incubators and 10 national public service demonstration platforms (bases) for small and medium-sized enterprises. It will also cultivate 10 national-level characteristic industrial clusters for small and medium-sized enterprises. The entrepreneurial and innovative vitality of small and medium-sized enterprises in artificial intelligence will continue to surge, and a preliminary pattern of high-quality development for small and medium-sized enterprises empowered by artificial intelligence will take shape.

According to TheEnergyMag, Argo Blockchain's CEO Justin Nolan has stepped down on August 30. Under the terms of the agreement, Justin Nolan will receive a one-time cash compensation of $250,000, which will be subject to standard tax withholding. The agreement will officially take effect after the seven-day period expires and the right of rescission has not been exercised.During the board's search for a successor, the current management team will be responsible for daily operations under the supervision of the board. The company is specifically seeking candidates with experience in capital raising and operational execution in the data center and artificial intelligence technology sectors.

U.S. Senator Bernie Sanders and Representative Greg Casar introduced the "Artificial Intelligence Superintelligence Prohibition Act," which calls for a permanent ban on the development of superintelligent AI and a suspension of advanced AI research until new federal agencies establish safety standards and review procedures. Sanders criticized large AI companies for developing technologies that they cannot fully understand or reliably control, stating that companies and individuals who violate the regulations could face up to 20 years in prison, with the most serious cases potentially subject to what is referred to as "corporate death penalty."The bill defines superintelligence as AI systems that achieve or exceed human capabilities across numerous tasks or could undermine human control (including overthrowing the U.S. government), and this definition also encompasses human-level AGI. The bill plans to establish a new cabinet-level agency responsible for monitoring advanced models, overseeing the removal of dangerous capabilities, and the destruction of banned systems, as well as forming an AI advisory committee to provide scientific and technical advice.On the same day the bill was announced, OpenAI released GPT-6 Astra, with co-founder Greg Brockman stating that he personally believes this model may meet the definition of AGI. OpenAI described Astra as its first model to reach a "critical" threshold of cybersecurity capability, potentially discovering and exploiting unknown vulnerabilities in protected systems without gradual human guidance, with its strongest cybersecurity capabilities limited to selected testers. Previously, OpenAI and Anthropic's models had repeatedly accessed real systems without authorization during testing, including incidents where OpenAI's model breached Hugging Face to obtain test answers.

According to Bloomberg, the artificial intelligence company Humain is planning to raise its first $2.5 billion in funding to establish a fund focused on investing in data centers. Sources revealed that the fund will provide financing support for the 250 megawatt data center capacity being constructed in collaboration with Al Moammar Information Systems, with the overall scale potentially expanding to 1 gigawatt in the future.It is reported that Humain, supported by the Saudi sovereign wealth fund Public Investment Fund (PIF), is promoting the development of local AI computing power and data center infrastructure to meet the growing demand for AI computing.

User Wordgrammer stated that the internet has collapsed due to social and video being 100% sandboxable, with consumer preferences leaning towards usage while intoxicated, in bed, on the toilet, or when 99% of their brain is occupied. They believe that the current AI discussion is similar to the misjudgment in 1995 that "everyone will have a website," as not everyone will create personal software or mobile applications.Wordgrammer indicated that everyone will use agents, but less than 1% will use coding agents, just as everyone has a social homepage but less than 1% have a personal website. Consumer-grade and enterprise agents must have a 0% failure rate foolproof sandbox, where accidental purchases, messaging, or information leaks cannot occur. Better models are insufficient to achieve this and require a rethinking of abstraction.

The official Chinese version of the "2026 Artificial Intelligence Index Report" from Stanford University's Human-Centered Artificial Intelligence Institute (HAI) was officially released today. The report points out that artificial intelligence has moved beyond a mere competition of model capabilities and is deepening into systemic changes at the levels of infrastructure, organizational processes, and institutions.Currently, the leading models worldwide are performing close to 100% human level on the software engineering benchmark SWE-bench; the success rate of agents in real computing environments has surged from 12% to 66%, with AI evolving from "generating information" to "executing tasks." The gap between top models in China and the U.S. has narrowed to 2.7%, with leading models from both sides having exchanged positions multiple times.In addition, physical infrastructure has become a core constraint on AI development. The global AI data center power capacity has reached 29.6 gigawatts, and chips, energy, and water resources are becoming key strategic bottlenecks for AI development.

Anthropic announced the launch of a blueprint for building e-commerce agents on Claude, providing the framework, patterns, and guardrails needed by engineering teams. It includes reference implementations for shopping agents and merchant agents aimed at retail, travel, telecommunications, and ticketing platforms, as well as the Claude Code plugin. The code can be deployed on Claude API, Amazon Bedrock, Microsoft Foundry, or Google Cloud Vertex AI, and can collaborate with partners such as Accenture, Mastercard, and Visa. The related code has been published in the GitHub repository anthropics/commerce-agents.The company stated that retailers running shopping agents on Claude can increase shopping cart sizes by up to 35%, and the likelihood of shoppers completing purchases improves by 60%. Business clients such as Shopify and Priceline have used Claude to build agents that allow consumers to search, compare, and purchase products using natural language. Shopping agents can interface with catalogs, shopping carts, checkout, preferences, and order history, supporting multi-product planning, personalization, and customer service Q&A, while constraining prices and products with catalog data; merchant agents can answer sales performance, track inventory, suggest pricing and promotions, and draft marketing campaigns, proactively suggesting items to be launched after manual approval.

Research institution Delphi Digital stated that hardware limitations are driving Chinese laboratories to shift towards cheaper models and more efficient technology stacks. Export control restrictions limit their access to advanced chips, while domestic accelerators can handle inference, but cutting-edge training remains difficult to achieve. Chinese laboratories are innovating in system efficiency, model architecture, training data, and reinforcement learning. DeepSeek has found a way to avoid GPU idle data movement, and ByteDance and Moonshot are set to release similar versions within months.In terms of architecture, training is shifting to cheaper digital formats that are compatible with domestic chips. Sparse architectures reduce the runtime per token, and the attention mechanism has been redesigned three times to control the memory costs of long context. In terms of data, denser prediction targets and better optimizers enhance the learning signal per token. In reinforcement learning, DeepSeek's GRPO has become the default recipe, with ByteDance, Alibaba, and MiniMax each launching successor plans within a year. Chinese models are now among the lowest-cost cutting-edge adjacent systems.On OpenRouter, the proportion of token consumption by Chinese developed models is expected to rise from less than 1.2% at the end of 2024 to the majority by 2026. The Chinese AI market is experiencing a price war from 2024 to early 2026, with several laboratories implying revenue multiples of about 47-117 times, while Anthropic and OpenAI are around 15-21 times. Huawei's Ascend chips are currently available for inference, and DeepSeek reportedly attempted to train R2 on Ascend but returned to NVIDIA after encountering technical issues. Domestic accelerator supply remains below estimated demand.

Bitget launches the 3rd phase of US stock FCN (Fixed Coupon Notes). The discount rate for this phase is 15%, with the underlying assets and reference APR range for Intel INTC 18%--21% and Tesla TSLA 12%--14.6%. The fundraising ends on September 3 at 16:00 (UTC+8), and the product quota is limited, available on a first-come, first-served basis.Bitget is also conducting a limited-time cashback event, where users can receive corresponding cashback after their cumulative subscription amount reaches a specified tier, with a maximum of 10,000 USDT per person. The event ends on September 18.This FCN is a structured financial product linked to a single US stock rToken. Users subscribe using USDT and choose the target US stock, with the buying execution price determined by the closing price of the US stock on the fundraising end date multiplied by the discount rate. At maturity, if the observation price is not lower than the execution price, the USDT principal and fixed interest will be returned; if it is lower than the execution price, the principal will be converted to the corresponding rToken at the execution price, while still receiving fixed interest.

Google DeepMind has released the video understanding capabilities of the Gemini intelligent agent, which are now available for the Gemini 3.7 Flash, 3.6 Flash, and 3.5 Flash-Lite models. This feature enhances the efficiency and accuracy of long video analysis by dynamically searching, scanning, and inspecting video clips.Compared to traditional fixed frame rate processing methods, it can reduce token consumption by up to 88%, lower analysis costs by 66%, and improve accuracy by up to 7%. This feature is now available through the Gemini API in Google AI Studio and the Gemini Enterprise Agent Platform, and will be applied in the Gemini app and the YouTube "Ask YouTube" feature in the future.

According to Gate market data, U.S. stocks opened with the Dow Jones down 0.64%, the S&P 500 index down 0.71%, and the Nasdaq down 1.31%.Star tech stocks fell broadly, with Intel (INTC.O) and Qualcomm (QCOM.O) down nearly 3%, AMD (AMD.O) and Meta Platforms (META.O) down over 2%, and Tesla (TSLA.O), Alibaba (BABA.N), and Nvidia (NVDA.O) down nearly 2%.

The social-first on-chain trading platform fomo announced the acquisition of proprietary software and intellectual property developed by the on-chain data aggregation and infrastructure company Mobula. Some members of the Mobula team will join fomo to help build its own data capabilities. At the time of the acquisition, fomo's user count had doubled since early July to over 1.9 million, with more than 30,000 new users added daily. In August, active users exceeded 1.2 million, and the iOS App Store's finance category reached a peak of 3rd place.fomo's trading volume increased from $500 million in June to $1.5 billion in July, and it is on track to exceed $2.8 billion in monthly trading volume and approximately $17 million in monthly revenue in August. Co-founder and CEO Paul Erlanger stated that acquiring these assets gives the company greater control over its infrastructure as it expands. Mobula was founded by Sacha Marcus, who will join the fomo engineering team along with CTO Sacha Delhoux and infrastructure head Cyril Conan.fomo was established in 2025 and is headquartered in New York, supported by Index Ventures, Union Square Ventures, and Benchmark. The platform simplifies on-chain trading through a single account, with fomo Web accounting for about 25% of the total, and has launched social trading features such as Clans.

Kuaishou (01024.HK) announced that on August 31, 2026, Beijing Keling entered into joining agreements with the National Artificial Intelligence Fund and Charoen Pokphand Robotics.Accordingly, the National Artificial Intelligence Fund and Charoen Pokphand Robotics each agreed to become additional investors and parties to the capital increase agreement, injecting cash capital of RMB 1.4 billion and approximately USD 19.29 million (equivalent to approximately RMB 131.45 million) into Beijing Keling, respectively.

According to official news, Etherscan has officially released a new toolkit for AI, allowing developers and agents to directly access reliable on-chain data that is the same as that on the Etherscan website.The toolkit covers more than 60 EVM-compatible chains and provides structured, certified real-time data access capabilities for AI agents through three methods: MCP, CLI, and Skills.Among them, Etherscan MCP supports mainstream programming agents like Claude and Codex to query on-chain information in natural language; the CLI tool can output clean JSON, table, or CSV results in the terminal and is equipped with an interactive interface; the Skills module includes professional skills such as Orchestrator, contract review, transaction debugging, and workflow orchestration, helping agents efficiently complete complex tasks.Etherscan stated that these tools are designed to lower the barriers for AI to interact with blockchain data, allowing developers to quickly get started by directly pointing to the official documentation, while also welcoming user feedback on their experience or sharing innovative applications built using these tools.