News linked to both this project and an event.
According to Yonhap News Agency, Park Woo-yeol, a researcher at Shinhan Investment Securities, stated that OpenAI's public release of its next-generation cutting-edge model, "GPT-6 Astra," signals the official arrival of the AGI era, indicating that cybersecurity-related ETFs are expected to benefit. Astra marks a significant turning point in cybersecurity capabilities; however, due to the increased difficulty of monitoring AI inference processes and recent incidents of AI agents breaching HuggingFace, security vulnerabilities have drawn widespread attention.
NVIDIA announced the acquisition of Hugging Face for $12.93 billion, while OpenAI released the GPT-6 Astra model and claimed to be close to AGI. The Tesla Cybercab officially entered service, and Samsung and Texas Instruments are simultaneously expanding chip production and raising prices.
: OpenAI began rolling out its new flagship model, GPT-6 Astra, on Thursday, stating that it has made significant progress in commercial tasks such as financial modeling and engineering design. The model is initially available only to select institutions, including organizations participating in OpenAI's Daybreak Access cybersecurity program, and will later be rolled out to ChatGPT Plus, Pro, Business, and Enterprise users, as well as users via the API and Amazon Web Services. OpenAI stated that GPT-6 Astra has achieved notable improvements in computer operations, software programming, and professional work, and has reached top-tier performance on the FrontierMath Tier 1 mathematics benchmark, the ARC-AGI 3 reasoning test, and the ExploitBench cybersecurity test. Greg Brockman, co-founder and president of OpenAI, said that the timeline for achieving artificial general intelligence (AGI) has always been somewhat ambiguous, but "looking back a few years from now," this milestone "may fall precisely within this period, right around this model." GPT-6 Astra is priced at $10 per million input tokens and $50 per million output tokens, which is 2.5 times the price of the previous flagship model, GPT-5.6 Sol. OpenAI stated that the AI industry may shift toward charging per task rather than per token in the future. Brockman said at the launch event: "Welcome to the age of AGI." (Jin Shi)
OpenAI officially released the GPT-6 Astra model and claimed it is nearing AGI. Overnight, markets reassessed the probability of a Federal Reserve rate hike in September at 50%, spot gold briefly surged past $4,500, and the IPO review status of Yangtze Memory Technologies Corp. changed to awaiting regulatory inquiry.
One-stop AGI infrastructure platform B.AI announced that Alibaba Qwen's latest open-source model, Qwen3.8-Flash, has officially launched on the platform and is now fully available for free access via the API official group. Acting as a forward-looking preview of the Qwen4 architecture, Qwen3.8-Flash is a multimodal MoE model with 125B total parameters and 51B N-gram Embeddings, activating only 6B parameters per token. The model integrates a hybrid attention mechanism combining GDN and QSA for the first time, effectively balancing long-text processing efficiency with information retrieval accuracy. It natively supports a 262K context window and can be extended to 1M using YaRN. Starting today, developers can access this model at zero cost through the B.AI API official group to seamlessly handle multimodal tasks such as coding assistance, agent workflows, and document analysis. B.AI continues to lower the barrier to AI application development by providing inclusive computing resources, enabling more developers to leverage top-tier open-source models.
The all-in-one AGI infrastructure platform B.AI has announced that Zhipu's GLM-5.3-Flash (320B-A18B) has officially launched on the platform and is now fully accessible at zero cost through the official API group. As the first native all-modal model in the GLM-5 series, GLM-5.3-Flash features 320B total parameters and 18B active parameters, powered by purely domestic AI chips. It introduces a hybrid architecture of sparse and linear attention for the first time, supports a 1M ultra-long context window, delivers formidable performance alongside exceptional cost-efficiency, and stands as a leading powerhouse among current domestic models. Effective immediately, developers can invoke this advanced tool at zero cost via the B.AI API official group, effortlessly tackling complex reasoning, long-text processing, and multimodal tasks. B.AI continues to lower the barrier to AI development through democratized computing power, enabling more developers to access top-tier domestic models.
One-stop AGI infrastructure platform B.AI released its latest ecosystem data: On August 25 alone, the platform added 23,432 new API users, bringing the cumulative total over the period to 79,500. Daily token throughput exceeded 594.71 billion, with cumulative API calls reaching 74.108 million and total throughput surpassing 3 trillion tokens. Both core metrics simultaneously set new historical records.
The zero-barrier free access campaign for DeepSeek-V4-Flash on the B.AI platform is currently underway. Upholding the vision of "inclusive computing power," B.AI is dedicated to building a globally leading one-stop AGI infrastructure. We continuously lower the barrier to AI adoption, empowering every developer and Web3 user to effortlessly experience, build, and deploy Agentic applications. Powered by this one-stop AGI infrastructure, B.AI aggregates a global matrix of cutting-edge models, featuring built-in intelligent routing to optimize costs and efficiency; stably handles high-throughput scenarios including long contexts of millions of tokens and Agent workflows; elastic API routing ensures both production-grade high availability and exceptional cost-effectiveness; and a unified Web2/Web3 dual-channel seamlessly bridges crypto assets and fiat settlement. Currently, DeepSeek-V4-Flash remains freely accessible across both web and API endpoints, granting unlimited use of top-tier model capabilities at $0. Log in to B.AI immediately and let elite computing power accelerate the deployment of your next innovative project!
据 The Information 报道，Google DeepMind 首席战略官 Jasjeet Sekhon 表示，当前 AI 行业前所未有的资本投入，核心投资逻辑之一是押注“递归自我改进”（Recursive Self-Improvement，RSI），若要证明 AI 行业当前巨额资本支出具有合理性，未来需要实现一种能够自动创造更强版本自身的 AI 系统。 Jasjeet Sekhon 认为，RSI 是当前 AI 投资论的重要组成部分。所谓递归自我改进，是指 AI 模型能够自主优化自身能力、生成更先进的模型版本，从而形成持续增强的循环，RSI 正在成为过去“通用人工智能”（AGI）叙事的新焦点。随着科技公司持续投入数千亿美元建设 AI 基础设施，市场正押注 AI 能力将从规模扩展阶段进入自我增强阶段。不过，RSI 能否真正实现，以及实现路径和时间表，目前仍存在广泛争议。业内人士指出，AI 基础设施投资正在加速，但技术突破是否足以支撑如此规模的资本投入，仍需进一步验证。
during the company's second-quarter earnings call, Meta CEO Mark Zuckerberg stated that Meta currently does not have a business selling computing power to customers, but such offerings are in the plans. He indicated that a significant portion of Meta's computing power will be used for training AI models, supporting agent products, and developing core businesses, while the company also anticipates expanding services to large enterprise clients.Both Google and Meta have slightly raised their capital expenditure expectations for this year. Google stated that related spending could increase further in 2027, while Microsoft maintained its capital expenditure forecast. Google's cash flow turned negative for the first time in the second quarter, and Meta's cash flow decreased by 91% compared to the same period last year.Microsoft CFO Amy Hood noted that customer demand for its cloud business still exceeds available capacity. Google said last week that it will purchase more third-party computing power while building more internal capacity to meet customer needs.Google CEO Sundar Pichai stated that the primary objective for Google in using its self-developed tensor processing units (TPUs) is to ensure the allocation of necessary resources for the development of AGI frontiers. Google is working with partners to deploy TPUs in other data centers to unlock more capacity.
according to official sources, Gate has now launched KIMIUSDT (Moonshot AI) pre-market perpetual contract trading (USDT settlement), supporting 1-10x leverage.Moonshot AI is an AGI unicorn independently developing general-purpose large models, ranking among the top tier of AI startups in China in terms of financing scale and technical performance.
According to a series of tweets posted by Ethereum co-founder Vitalik Buterin on X on July 20, he engaged in deep reflection on AI capability growth and the future of humanity. Vitalik divides the evolution of machine capabilities into three stages: the Industrial Revolution (physical repetitive labor), the Computer Age (mental tasks definable by logic), and the LLM Era (mental and partial physical tasks defined based on massive samples). He points out that the current core question lies in: whether LLMs plus subsequent improvements can ultimately cover all unique human capabilities, or if a fourth or fifth technological wave is still needed. Regarding the definition of AGI, Vitalik proposes: AGI refers to AI that, if uploaded into a robotic body and humans suddenly disappear, can still independently continue civilization. He emphasizes that once AGI is realized, it will be an "irreversible turning point," and humanity's dominance over Earth will remain only due to historical inertia rather than capability advantage. Regarding the future path, Vitalik hopes for deep human-machine integration—erasing the human-machine binary boundary through technologies such as brain-computer interfaces and consciousness uploading, enabling humans to remain competitive before the technology ceiling arrives. He also calls for maintaining global political and economic diversification, avoiding monopolization of AI advantages by a single nation or corporation, and expresses support for AI development "slowdown" and "pause" proposals, leaning towards achieving decentralized slowdown via an open-source weights model rather than relying on coercive political means.
B.AI announces that OpenAI's latest generation GPT-5.6 full lineup of models has officially been integrated into the B.AI API network. Effective immediately, developers can directly access three distinctly positioned models through B.AI's single interface: GPT-5.6 Sol specializes in ultimate reasoning and complex tasks; GPT-5.6 Terra is perfectly suited for daily workloads; GPT-5.6 Luna prioritizes ultra-fast response and cost-efficiency. Whether you are building agents, optimizing workflows, or exploring the boundaries of AGI applications, B.AI provides you with flexible and stable compute support. Log in to the B.AI platform now to unlock the full capabilities of GPT-5.6 and let the next generation of AI work for you.
B.AI has officially launched the "B.AI x WebX 2026 Treasure Hunt" reward campaign and confirmed its participation in the WebX 2026 conference held in Tokyo, Japan, accelerating the expansion of its AGI global footprint. To celebrate this debut in Japan, an interactive lucky draw event officially goes live from July 9 to July 15. Participants who follow the official account (@BAI_AGI), retweet the post, write down one thing they most want to achieve with B.AI, add the hashtag #BAIWebXJapan, and tag three friends can share the base prize pool of 100 USDT; if the number of participants exceeds 500, the total prize pool will be upgraded to 300 USDT. In addition, during this WebX conference, B.AI will unveil more exciting content centered around AI Credits and offline interactions, securing exclusive benefits for global ecosystem builders ahead of the conference opening.
tonight, DeepSeek officially released recruitment information, stating that humanity is on the eve of AGI and inviting candidates to join DeepSeek to witness the development process of AGI. The recruitment information shows that open positions include full-stack development/algorithm, AI core system R&D, operations, product, model data strategy product manager/engineer, deep learning researcher, and functional departments. Work locations include Beijing and Hangzhou.Previously, several DeepSeek employees had been posting recruitment ads for various talents on platforms like Xiaohongshu and X, such as HR@一只大蜗牛 and Cui Tianyi from the Harness group. Earlier still, DeepSeek announced the completion of over $7 billion in financing, with a valuation exceeding $50 billion. The financing amounted to approximately RMB 50 billion, with Liang Wenfeng personally contributing RMB 20 billion. This large-scale recruitment may indicate a further escalation in the intensity of the domestic AI talent war, as AI professionals are entering a period of high market demand.
the "official" open-source model Rio-3.5-Open-397B, launched by IplanRIO, an IT company under the Rio de Janeiro City Government, has gained global popularity and been hailed as a rising force in Latin American open-source large models. Within less than 24 hours, this so-called AI "dark horse myth" was reversed, as the model was accused of being a "shell" version that is a weight-mixed variant of Alibaba's Qwen3.5 and NexN2Pro.Currently, IplanRIO has publicly apologized on the open-source community Hugging Face, admitting that an "operational error" led to the upload of a merged baseline version used for comparison. The open-source model team Nex-AGI has publicly alleged that this Rio model shows no traces of training by Rio itself, and that the so-called self-developed model is essentially a weight-mixed version of NexN2Pro and Qwen3.5-397B-A17B. (HuggingFace)
Odaily Odaily News: In the OpenAI lawsuit, Satya Nadella testified in court as Microsoft's CEO at the U.S. District Court in Oakland, California. The case centers on the ongoing legal dispute over OpenAI's non-profit structure and its path to commercialization. The lawsuit, filed by Elon Musk in 2024, accuses Microsoft of "aiding and abetting the breach of charitable trust obligations" during OpenAI's transition from a non-profit organization to a commercial entity. Microsoft has been making strategic investments in OpenAI since 2019, with cumulative investments reaching approximately $13 billion by 2023, making it one of OpenAI's most important external supporters.During the trial, Satya Nadella reviewed the early partnership between Microsoft and OpenAI, mentioning that the two parties had established deep technological and computing power collaboration before the launch of ChatGPT. In his earlier testimony, Musk stated that Microsoft's additional investment of approximately $10 billion in OpenAI in 2023 was the key turning point that prompted him to file the lawsuit, adding that the scale of the investment altered OpenAI's original non-profit-oriented structure. During the trial, Musk stated: "We are concerned they are turning a charitable organization into a commercial tool." He also questioned Microsoft's potential dominant position in the development of Artificial General Intelligence (AGI) and pointed out that its deep integration with OpenAI could impact the competitive landscape of the industry.The case is currently still under trial, and the debate surrounding OpenAI's governance structure, non-profit status, and control over the AI industry is expected to continue. (CNBC)
According to an official announcement, B.AI has officially entered into a strategic partnership with HTX DAO to jointly build a new paradigm covering the entire AI and Web3 domains. B.AI is committed to becoming the foundational financial infrastructure for the AI Agent era; this collaboration will leverage HTX DAO’s decentralized governance ecosystem and accelerate the arrival of Artificial General Intelligence (AGI) through a more open and composable on-chain architecture. Moving forward, the two parties will explore areas including autonomous intelligent agent networks and on-chain intelligent services, driving the on-chain implementation of the intelligent economic layer.
As AI advances into the era of autonomous, collaborative agents, the B.AI platform has officially launched, delivering the critical “financial infrastructure” capabilities needed to enable deep participation of AI agents in value exchange—and overcoming the industry’s bottleneck in shifting from model-level capabilities to foundational support. As core infrastructure linking agents to economic systems, B.AI will host a dedicated Twitter Space on April 14 at 8 PM to deeply unpack how it is reshaping agents’ economic roles. By establishing seamless financial integration and collaboration standards, B.AI is accelerating the realization of the AGI vision through forward-looking technical architecture—unlocking new opportunities in intelligent productivity for users worldwide. Follow the official accounts @sunpumpmeme and @Agent_SunGenX, retweet the post, and tag three friends. Five lucky participants will be randomly selected to receive 10 USDT each.
According to Yonhap News Agency, SK Telecom announced the signing of a trilateral memorandum of understanding (MOU) with UK-based chip design company Arm and Korean AI chip startup Rebellions to jointly develop AI data center inference server solutions. Under the agreement, the three parties will integrate Arm’s newly launched AGI CPU with Rebellions’ AI acceleration chip—RebelCard, scheduled for launch in Q3 this year—to jointly develop AI inference servers, which will be tested and validated at SK Telecom’s AI data centers. The Arm AGI CPU is optimized for high-density inference environments and large-scale AI deployments, while the RebelCard is specifically designed for large-scale AI inference.