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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 Gate market data, U.S. stocks opened with the Dow Jones Industrial Average rising over 1%, the S&P 500 index up 0.8%, and the Nasdaq up 0.8%. Oracle rose over 7%, with its first-quarter revenue and profit exceeding expectations, Intel rose over 1%, and SK Hynix rose 1.5%.

4D Labs announced that it has received investment from YZi Labs through the EASY Residency Season 2. The project aims to build a real-world embodied data layer for physical artificial intelligence, transforming real interactions into embodied data that can be used for training, supporting the expansion of artificial intelligence from language capabilities to action capabilities.

Ripple announced the introduction of the GSmart AI intelligence in its corporate treasury platform Ripple Treasury, used for monitoring corporate cash, risks, and forecasts, and providing action recommendations to finance teams. Ripple Treasury is the GTreasury platform that the company acquired for $1 billion last October.These intelligences can cover processes such as liquidity, forecasting, and reconciliation, recommending responses and citing relevant company policies when issues are identified, but all operations must be approved by a human before execution. Ripple stated that financial calculations are completed by deterministic software, and AI is only used to interpret policies, identify patterns, and explain recommendations to reduce the risk of errors.GSmart was launched before Ripple's acquisition of GTreasury, going live in June 2025. This update expands it to more treasury workflows and introduces a policy layer called Knowledge Studio and an Ask GSmart assistant for querying corporate financial data. Ripple claims that 60% of qualified clients have enabled the Risk Insights feature, and 44% use Forecast Insights. The platform now supports the simultaneous management of traditional and digital assets.

Piper Sandler initiated coverage on Intel with a neutral rating and a target price of $110; gave Qualcomm a neutral rating with a target price of $190; and assigned an overweight rating to NVIDIA with a target price of $300.

NVIDIA collaborates with Palantir to bring sovereign artificial intelligence into the supply chain.

The founder and CEO of the Hong Kong-listed company Mech-Mind, Shao Tianlan, posted on social media, questioning some embodied intelligence companies that create false and unsustainable revenue through data collection centers and related transactions with local governments, investors, and suppliers to promote their listings. Mech-Mind mainly provides products such as robotic 3D vision and AI software, applied in industrial manufacturing, logistics, and other scenarios. He referred to these companies as "gathering-type" embodied intelligence companies, mentioning that they include some well-known and highly valued companies from Beijing and Shanghai that have appeared on the Spring Festival Gala, and criticized this practice as illegal, unethical, and unwise.Shao Tianlan stated that generating revenue in this way could harm investors and place an increasingly heavy growth burden on the companies. After achieving such revenue this year, they would need to continue to do so next year and do even more, potentially falling into a vortex of continuous fraud and bleeding. He specifically named Galaxy Universal in the comments section and inquired whether there was support from Beijing city leaders for the company's listing.

The Financial Intelligence Unit of India (FIU-IND) issued non-compliance notices to 15 offshore virtual digital asset service providers under Article 13 of the Anti-Money Laundering Act, including Weex, Blofin, Rezorex, Bitunix, DigiFinex, Toobit, XT.com, Latoken, WOO X, Pionex, ChangeNow, SimpleSwap, Fixedfloat, WhiteBIT, and Guardarian. These platforms are accused of providing services to Indian users without registering with FIU-IND.Since March 2023, India has included cryptocurrency platforms in the same anti-money laundering regulatory framework as banks, requiring any platform serving Indian customers, regardless of whether they have an office in India, to complete registration and fulfill user verification, record-keeping, and suspicious transaction reporting obligations. FIU-IND also warned the public that cryptocurrency products and NFTs are unregulated and carry extremely high risks, and related trading losses may not be eligible for regulatory relief.This action comes amid reports of Indian users converting stablecoins like USDT into gift cards through platforms in Sweden, Germany, and Singapore to purchase groceries, fuel, and gold in India. Previously, FIU-IND had issued notices to nine major offshore exchanges, including Binance, Kraken, and KuCoin, in December 2023, after which Binance completed its registration and paid a fine of 1.882 billion rupees.

According to a report by ZDNet Korea on the 9th, Samsung Electro-Mechanics and LG Innotek are advancing into the Intel EMIB-T packaging substrate supply chain, with related product development and testing already underway. EMIB connects chips with small silicon bridges, which Intel previously used mainly for its own chips; the improved EMIB-T is expanding external sales. The next-generation AI accelerator TPU that Google plans to launch in the second half of next year will be the first to use EMIB-T. EMIB-T inserts silicon vias for power transmission within the silicon bridge.Insiders say that Samsung Electro-Mechanics has developed EMIB substrate samples over the years and is currently advancing EMIB-T supply based on the 2.1D packaging substrate concept. Recently, LG Innotek delivered EMIB-T packaging substrates to SK Hynix for sample testing, and both parties are installing HBM on the substrate to evaluate product characteristics.Currently, EMIB-T packaging substrates are supplied by Japan's Ibiden, Shinkawa Electric, Taiwan's Xinxing Electronics, and Austria's AT&S. Ibiden has decided to utilize idle factories to construct a dedicated production line for Intel's EMIB-T substrates, with an investment scale of about 20 trillion Korean won, and it is reported that they have already received advance payments from Google, Amazon, Intel, and others.

Due to the artificial intelligence boom offsetting concerns about the situation in the Middle East, the Japanese stock market rebounded, with the Nikkei 225 index rising by 0.35% and the Topix index increasing by about 0.24%. Nomura Securities strategists stated that the high-density fiber optic agreement between Verizon and Corning boosted market confidence. The strengthening yen is expected to prompt the Bank of Japan to accelerate interest rate hikes, and Sony financial analysts noted that the market may shift towards buying on dips.

Minara officially released the next-generation universal financial intelligence tool Minara Harness, which is now available for download by users worldwide. Minara Harness covers multiple asset markets, allowing for investment research 24/7 and operating automated trading within the scope authorized by users. Users can query financial markets using natural language, generate research reports, develop quantitative strategies, and handle daily tasks such as programming, web searching, and document processing. The platform supports users in selecting their own underlying large models.On the investment research side, Minara Harness can simultaneously call multiple professional AI Agents to analyze the same investment opportunity from perspectives such as fundamentals, valuation, market trends, and potential risks. Users can view the information sources and different judgments of each Agent and decide whether to execute trades based on the research results. Minara Harness also supports writing trading strategies in natural language, automatically generating code, and completing backtesting. Users can also subscribe to other traders' strategies, view strategy codes, historical performance, and real-time operating metrics. Minara also offers an optional decision review mechanism, which can verify past judgments against subsequent market results and assess which experiences can be applied to future research. At the same time, Minara announced the benchmark test results of Harness, which outperformed OpenClaw, Hermes, and Claude Code in multiple tests and demonstrated leading performance in tasks such as financial reporting, web research, and spreadsheets.

Meta Platforms (META.O) announced the launch of Muse AI intelligent entity.

According to Gate market data, Intel (INTC.O) stock price has increased by 10%.

According to Gate market data, U.S. stocks opened with the Dow Jones down 0.7%, the S&P 500 index down 0.1%, and the Nasdaq up 0.08%.Qualcomm (QCOM.O) rose 5% after reaching a multi-generational product collaboration agreement with Amazon (AMZN.O). Intel (INTC.O) rose 6%, with reports that its CPUs will increase in price by another 10%. ASML (ASML.O) rose 3.8%, and TSMC (TSM.N) rose 2.4%, as both parties initiated a collaboration on high numerical aperture EUV photomasks.

According to Fortune, the artificial intelligence startup Sapien has completed a new round of financing, led by Ali Partovi of Neo, with the company's valuation reaching 180 million dollars.

On September 6, local time, U.S. President Trump posted on the social platform Truth Social, stating that he earned "hundreds of billions of dollars" for the United States through stocks and holding various other assets, and he expressed, "I do this for our country, not for myself." The post also mentioned that the only response he received was criticism from the radical left "foolish Democrats."According to a previous report by Reuters, information from the U.S. Office of Government Ethics shows that Trump disclosed personal securities transactions totaling at least $220 million and up to about $750 million in the first three months of 2026. Annual financial documents released by the U.S. Office of Government Ethics indicate that Trump's total income for 2025 was at least $2.2 billion, far exceeding his income of about $622 million in 2024 when he had not returned to the White House.On the same day, Trump also shared an AI-generated image, which appeared to show him trading in the Oval Office, with the screen displaying Intel's stock price rising from $20 to $95. In August of last year, the U.S. federal government invested about $8.9 billion to purchase a 9.9% stake in Intel at a price of $20.47 per share; CNBC reported that on September 4, 2026, the company's stock closed at $95.80. A White House spokesperson stated that all stock transactions under Trump's name are conducted by external financial managers, and Trump and his family have no control over specific trading decisions.

The Ministry of Industry and Information Technology of China released the "14th Five-Year Plan for the Development of the Information and Communication Industry," setting the national intelligent computing power target at 9800 EFLOPS by 2030. According to data from the National Bureau of Statistics, as of the end of July, the national intelligent computing scale was approximately 2450 EFLOPS (FP16), indicating that it needs to expand by about 4 times in the next four years based on this standard.The plan proposes an orderly deployment of intelligent computing clusters with tens of thousands and hundreds of thousands of cards, building inference computing power for different scenarios, and increasing the adaptation of domestic computing power chips. Currently, 52 intelligent computing facilities with more than ten thousand cards have been established nationwide. The Ministry of Industry and Information Technology disclosed that the intelligent computing power scale at the end of June was 2185 EFLOPS, a year-on-year increase of 177%. The plan uses 1590 EFLOPS in 2025 as a benchmark, aiming to reach 9800 EFLOPS by 2030, which is an expansion of about 6.2 times. During the same period, the cumulative investment target for information infrastructure in the information and communication industry is 3.8 trillion yuan, which also includes communication networks and is not all allocated for AI computing power.

Supply chain sources revealed that due to the overall cost surge, Intel's PC CPUs have been gradually increasing in price over the past year, with a tentative additional increase of 10% expected in early October.In the context of a slight decline projected for the PC terminal market in 2027, Intel still chooses to raise CPU prices. Supply chain analysis indicates that if Intel sets low profit margins as an important threshold for product retention, some products will inevitably be forced to exit the market. Once this demand is released, it may provide opportunities for Arm-based operators like MediaTek and Qualcomm to enter, especially in the IPC, edge computing, and IoT markets, where Arm SoCs have advantages in high integration and low power consumption.

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.