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Flash

first_img OpenAI terminates the Cursor model contract, Musk criticizes Altman

OpenAI has notified SpaceX that it will terminate the contract to provide models for the AI coding tool Cursor it acquired, with a suggested termination date of November 12, stating that this is the longest notice period stipulated in the contract. OpenAI expressed that the decision was difficult, as it values the widespread use of its models by developers, but due to Musk's past breaches of contract, it does not trust SpaceX to use the technology as agreed, and mentioned issues related to the use of OpenAI models during xAI training and contract problems when acquiring X.Musk stated on X that he does not care at all and referred to Sam Altman and Greg Brockman as frauds, accusing them of stealing from an open nonprofit organization. Musk was a co-founder of OpenAI but later filed a $150 billion lawsuit against OpenAI and lost due to exceeding the deadline. OpenAI had attempted to acquire Cursor's developer Anysphere but was unsuccessful, while SpaceX acquired Cursor for $60 billion, with the merger completed on August 15.Michael Truel, co-founder of Cursor and now an executive at SpaceX, stated that Cursor views the OpenAI platform as neutral infrastructure and is negotiating with OpenAI, noting that OpenAI models account for 5% of Cursor's user traffic. Tom Brown, co-founder of Anthropic, stated that they will continue to expand computing power to provide the Claude model on Cursor.

first_img The first batch of RTX Spark models from ASUS and MSI has been fully booked

The RTX Spark series PCs developed by NVIDIA in collaboration with MediaTek are expected to launch this fall. Microsoft and more game developers have recently announced updates and support for this platform. The first batch of orders from ASUS and MSI has been fully booked, and they are actively seeking more allocations from NVIDIA. ASUS co-CEO Hu Shubin pointed out that channel customer bookings have exceeded expectations, with the initial supply completely reserved, and they are actively placing additional supply orders with NVIDIA, holding a highly optimistic outlook for next year's sales. MSI's product manager Peng Renfang revealed that customers from mainland China, Taiwan, and the United States are actively placing orders, with the first batch of laptops equipped with the high-end N1X chip nearly sold out, and they are actively following up with NVIDIA for more orders.The RTX Spark super chip is built using TSMC's 3-nanometer process, featuring NVIDIA's Blackwell RTX GPU connected to a 20-core Grace CPU, utilizing a Windows on Arm architecture. NVIDIA CEO Jensen Huang noted that RTX Spark brings together CUDA, RTX, and AI platforms into a single super chip, allowing ground agents, front-end models, creative workflows, and RTX games to run on laptops, "This is the new PC, personal AI computer." The processors are divided into the high-end N1x and the mainstream N1, with the actual selling price of PCs equipped with N1x yet to be announced, but the market generally believes it will start from 110,000 yuan. The first wave of partner brands includes ASUS, MSI, Dell, HP, Lenovo, Microsoft, Acer, and Gigabyte will also follow suit. NVIDIA recently announced at Gamescom 2026 in Germany that multiple game developers are bringing various games to join the RTX Spark lineup.

first_img OpenAI suspends training of the Astra model due to safety issues

According to TIME, OpenAI CEO Sam Altman recently stated in an interview that the company has previewed the upcoming cutting-edge model series Astra to key clients. In the demonstration, 16 AI agents can collaboratively break down mathematical problems and assemble proofs, and Astra can operate computer software across applications at superhuman speeds. Altman mentioned that Astra will support "persistent agents" capable of performing long-term tasks and is expected to be the first model that can invent new things in a meaningful way, possessing characteristics of AGI.Over the past year, OpenAI has fallen behind expectations in product direction and pre-training research, being surpassed by Anthropic in programming products, annual revenue, and valuation. The company has experienced multiple executive departures and is facing challenges such as several product liability lawsuits and legal disputes with Apple and Musk. OpenAI's current valuation is nearly $1 trillion, with ChatGPT having over 1 billion monthly active users.Recently, OpenAI disclosed a security incident: an unreleased agent escaped the sandbox and attacked Hugging Face. Following this, the research team froze some experiments, enhanced monitoring, and paused the training of an unreleased model expected to bring the greatest capability leap until new safety measures are in place. Altman emphasized that "ensuring AI safety is more important than the growth momentum of any company," and the company will slow its pace and allocate resources to safety and alignment teams. Chief Research Officer Mark Chen estimated that the company is about 80% complete in reaching AGI, and Altman stated that the internal system may be referred to as AGI by the end of the year.

Zhipu has launched and open-sourced the "Niu Lai" model GLM-5.3-Flash

Zhipu officially announced the launch and open-sourcing of GLM-5.3-Flash, which is the first native multimodal model in the GLM-5 series.It is reported that the overall performance of GLM-5.3-Flash exceeds that of GLM-5.2, with programming and Agent evaluations approaching Claude Opus 4.8, but at only one-tenth the price of GLM-5.2. It also features a new foundational model, introducing a mixed architecture of sparse attention and linear attention for the first time in the main GLM series, and is pre-trained with 30T Token multimodal data.Zhipu stated that to gather extensive and professional feedback from a wide range of users, large-scale testing was conducted with the anonymous model Ox-Alpha (referred to as "Niu Lai" in the Chinese community) on OpenCode and OpenRouter before the official release. Ox-Alpha quickly became the most popular model of the week, setting a new high for call volume on both platforms, with all request traffic supported by domestic chip computing power.Previously, the community's DeepSWE small sample test for Ox Alpha once achieved 80%, but that was based on only 10 questions. After expanding the sample, the score fell back to about 63%, and testers also actively corrected the initial claim. This score still belongs to the top tier, but is not as exaggerated as the initial 80%. After the weights are open-sourced, developers can directly deploy using frameworks like vLLM, SGLang, KTransformers, without needing to go through the anonymous model's API.

first_img Hugging Face was invaded by AI agents and was forced to switch to open-source models for defense

According to Cointelegraph, Hugging Face disclosed that it experienced an intrusion event driven by autonomous AI agent systems in July. The attacking agent began testing in early May, leaving exploit notes using OpenAI's Artifactory instance, and subsequently launched approximately 17,600 attacks on Hugging Face, affecting its dataset processing infrastructure, production environment, internal network, and cloud credentials. Confirmed customer data access was limited to five datasets related to the ExploitGym/CyberGym benchmark.Hugging Face found during the investigation that due to security barriers imposed by top model providers like OpenAI and Anthropic, the company was unable to use these commercial models for defensive analysis and was forced to turn to running the open-source model zai-org/GLM-5.2 in China, which operates on the company's own infrastructure, ensuring that attacker data and credentials do not leave its environment. The company pointed out that attackers are not bound by any usage policies, while the defense's forensic work is hindered by the barriers of the hosted models.This incident highlights the security paradox between open-weight models and closed models. The article also discusses the ongoing debate regarding the security of open-weight AI, including OpenAI and Anthropic's push to restrict open-source models, as well as researchers' progress in detecting malicious behavior by examining changes in model weights.Hugging Face recommends that defenders prepare models that can run on their own infrastructure before an incident occurs to avoid barrier lock-in and protect attacker data.
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