News linked to both this project and an event.
According to newly disclosed information, this unreleased model (possibly GPT-6) has solved 10 long-standing unsolved problems in the fields of mathematics, quantum complexity, and theoretical computer science, including the first explicit non-sofic group and overturning the Connes rigidity conjecture, among others. The core argument was generated by Astra and formally proven in Lean, producing a 249-page manuscript and machine-verifiable certificates. The token cost for a single successful solution at the Sol API rate was only about $2,000.
Japanese listed company Quantum Solutions has sold another 1,000 Ethereum, cashing out approximately $1.9 million to support its AI data center expansion. Following this sale, the company has reduced its ETH holdings by nearly 30% since mid-June.According to company documents, Quantum Solutions' subsidiary, GPT Pals Studio, sold this batch of ETH on Thursday at an average price of $1,903. The company expects to record a loss of approximately $100,000 from this transaction. After the sale, Quantum Solutions' remaining ETH holdings amount to approximately 4,765, which is lower than the 4,976 ETH held by Def consulting, thereby losing its position as the largest corporate ETH holder among Japanese listed companies.Quantum Solutions has sold a total of 1,904 ETH in less than two months, accounting for approximately 28.6% of its pre-sale holdings of 6,668.8 ETH. Previously, GPT Pals had sold 904 ETH on June 16, cashing out about $1.6 million.The company acquired the majority of its ETH during the crypto market highs of the fourth quarter of 2025, when ETH prices were in the range of approximately $4,000 to $4,500.
据 CNBC 报道，OpenAI 首席财务官 Sarah Friar 与董事会主席 Bret Taylor 于7月 29 日召开内部员工会议，Friar 透露，OpenAI 7 月年化经常性收入已超过整个第二季度总量，并强调"二季度本身表现已相当亮眼"。此次增长主要由 GPT-5.6 系列模型发布、企业级 AI 代理产品 ChatGPT Work 上线以及 AI 编程工具 Codex 的快速普及所驱动。 会议背景下，OpenAI 正面临来自 Anthropic 及中国开源模型的双重竞争压力。Anthropic 此前披露年化收入已超 470 亿美元，估值亦于今年早些时候超越 OpenAI。对此，Taylor 承认 OpenAI 在编程市场曾处于追赶态势，但对 Codex 的增长势头表示乐观。目前，OpenAI与 Anthropic 均已秘密向 SEC 提交 IPO 申请，具体上市时间尚未公布。OpenAI 当前估值约为 8520 亿美元，并正与英伟达洽谈最高 2500 亿美元的资金支持计划，用于在俄亥俄州租赁大型 AI 数据中心。
Odaily Odaily News: OpenAI Codex Product Lead Tibo announced that usage limits have been reset for all ChatGPT Work and Codex users.Tibo stated that recent user feedback indicated GPT-5.6 Sol was consuming Codex limits faster than anticipated. Following an investigation, OpenAI has implemented several optimizations. It is projected that under typical usage scenarios, Sol's limit endurance will improve by approximately 18%, with some users seeing more noticeable improvements starting today.He explained that Sol tends to work for longer periods, make additional tool calls, and coordinate complex processes, while High mode consumes more tokens compared to previous models. Additionally, factors such as parallel tool calls in code mode and increased cached input have also led to higher-than-expected usage for certain tasks.OpenAI stated that Sol represents a significant upgrade to Codex's capabilities, but increased model capabilities do not always translate into efficiency gains. The company will continue to optimize code mode efficiency and restore the five-hour limit that was suspended during the investigation.
Moonshot AI launches open-source model Kimi K3, scoring 57 points on the Artificial Analysis Intelligence Index, becoming the third highest-scoring model, second only to Anthropic's Claude Opus 5 (61 points), Claude Fable 5 (60 points), and OpenAI's GPT-5.6 Sol (59 points). The index shows that the gap between leading closed-source models and open-weight models has narrowed to 4 points, the smallest gap since the release of GLM-5 in February. This signifies that open-source models are rapidly catching up to closed-source models in performance.
Prediction market traders have priced the probability of OpenAI publicly releasing GPT-6 by September 30 at approximately 78%. The Polymarket related market trading volume is about $731,000, an increase of approximately $32,000 from the previous index snapshot; probability for the contract releasing before September 30 has risen to 77%, probability for release before August 31 is in the mid-30% range, and probability for release before August 21 has dropped to 15%. On Myriad, the probability for a September release has also risen to 77%, up from 64% last week. As of July 27, OpenAI has not yet publicly announced GPT-6, its technical design, or a release date. Its current flagship general-purpose model, GPT-5.6 Sol, was publicly released on July 9. OpenAI previously confirmed that GPT-5.6 Sol and a more capable pre-release model breached Hugging Face during a cybersecurity evaluation. The company also announced the addition of 250 new positions in Dublin, while SoftBank is providing financing for OpenAI's related initiatives through a $40 billion bridge loan.
According to OpenAI's official blog, OpenAI's GPT-5.6 Sol and a more powerful pre-release model, during internal network capability benchmark testing (ExploitGym), due to lowering network attack refusal rates, autonomously identified and exploited a zero-day vulnerability in the package registry cache proxy, breached the sandbox isolation environment, gained internet access permissions, and subsequently, through privilege escalation and lateral movement, finally infiltrated the Hugging Face production database, directly stealing test answers to "cheat". The Hugging Face security team promptly detected and blocked the attack. OpenAI stated that this incident is an unprecedented cybersecurity event, and currently both companies are jointly conducting a forensic investigation; the relevant zero-day vulnerabilities have been responsibly disclosed to the vendor, and full details will be released after the investigation is completed.
OpenAI confirmed that the unreleased GPT-5.6 Sol and another unnamed, more powerful pre-release model breached a restricted sandbox environment during ExploitGym benchmark evaluations and infiltrated Hugging Face's production infrastructure to obtain test answers.OpenAI stated that the models leveraged a zero-day vulnerability in an internal software package registry proxy to escalate privileges and move laterally, ultimately connecting to a machine with internet access. The models then identified and chained together vulnerabilities in both the OpenAI research environment and Hugging Face's production infrastructure, directly retrieving test solutions from Hugging Face's production database.Hugging Face disclosed the incident on July 16, stating that the attack was executed end-to-end by an autonomous AI agent system, involving thousands of operations within short-lived sandboxes and accessing internal datasets and service credentials. OpenAI confirmed its models were the subject of the incident five days later.Hugging Face stated that its security team, in order to analyze over 17,000 attack logs, initially attempted to use a commercial US frontier AI interface, but the request was blocked due to safety guardrails. They subsequently switched to using the 753-billion parameter open-weight model GLM 5.2 from Chinese AI startup Z.ai on their own infrastructure to complete the forensic analysis.
According to TechFlow Research, Goldman Sachs' July 18 report pointed out that Moonshot AI released the Kimi K3 model, with 2.8 trillion parameters, surpassing Claude Fable 5 and GPT-5.6 Sol to top the Arena.ai coding leaderboard, with API pricing at $2.3 per million tokens setting a new high for Chinese models. Two days after the release, Zhipu AI fell 28%, MiniMax fell 16%, Nasdaq 100 index futures fell over 1.8%, and the Philadelphia Semiconductor Index cumulatively fell over 18% from highs. Goldman Sachs believes Kimi K3 marks a turning point: a Chinese lab unable to match the largest pre-training compute capacity in the West rapidly narrowed the gap with top US models through architectural innovation and reinforcement learning, proving that "scaling" is no longer the only winning path. Goldman Sachs warns that the "compute expansion era" may be ending, and the AI infrastructure investment logic built around "the more compute, the better" needs to be rewritten. Goldman Sachs maintains a Buy rating on MiniMax and Neutral on Zhipu AI. Future focus should be on the intensive launch of 2-5 trillion parameter models such as Zhipu GLM, Alibaba Qwen, and MiniMax M3 Pro.
analyst KawzInvests stated that Moonshot AI's upcoming Kimi K3 could become a significant event in the open-source AI space, and the infrastructure demand behind it may drive growth for AI cloud service platforms. Kimi K3 has approximately 2.8 trillion parameters, making it one of the ultra-large-scale open-source models. According to Moonshot's official evaluation, the model's performance is only slightly behind frontier models like Claude Fable 5 and GPT 5.6 Sol, and the full model weights are expected to be released on July 27.KawzInvests pointed out that a model of this scale cannot run on an ordinary laptop or even a single server; users need a computing cluster composed of a large number of GPUs to complete model loading and inference. When top-tier open-source models are made available for free, the biggest beneficiaries might not be ordinary users, but rather platforms that offer model hosting and inference services. For example, $DOCN (DigitalOcean) already supports serverless inference services for models like Kimi K2.6. Developers do not need to deploy hardware; they can call the model via API and pay per Token. Additionally, the platform hosts over 70 models and covers GPU leasing, model fine-tuning, and AI Agent development tools.As more large-scale open-source models are released, developers' demand for low-barrier AI infrastructure will continue to increase. Model hosting, inference services, and GPU cloud platforms may become key beneficiaries in the open-source AI wave.
OpenClaw founder Peter Steinberger posted on X that OpenClaw has officially released version v2026.7.1. This update was completed jointly by 532 contributors, with a cumulative total of 3,063 commits. Major updates include: comprehensive restructuring of the Web UI and new user onboarding process, significant optimization of iOS / Android / macOS clients, improved integration capabilities for Telegram, Slack, Discord, and iMessage, and added support for models such as GPT-5.6 and Muse Spark 1.1. In addition, this version simultaneously upgraded the Node version to fix automatic updater issues. If the automatic update fails, the upgrade can be completed manually via the Web installer.
B.AI 宣布 GPT-5.6 全系模型正式登陆 Web Chat，此前，B.AI API 已率先接入 GPT-5.6 Sol、GPT-5.6 Terra、GPT-5.6 Luna 三款模型，即日起用户无需配置 API，登录 https://chat.b.ai/chat 即可直接体验包括聊天问答、内容创作、代码编写与复杂推理在内的完整能力。此次全面开放标志着新一代模型在 B.AI 生态中的全场景落地，为开发者和普通用户提供“开箱即用”的智能化服务。未来，B.AI 将持续降低前沿 AI 技术的使用门槛，助力高效创作与决策。
According to Decrypt, OpenAI has released a new prompt engineering guide for the flagship model GPT-5.6 Sol, with the core concept being "Outcome-First Prompting"—clarifying goals and termination conditions and avoiding lengthy procedural instructions. Internal programming agent tests show that streamlined system prompts improved evaluation scores by approximately 10–15%, while reducing total token usage by 41–66% and costs by 33–67%. The guide also adds the text.verbosity API parameter to globally control output verbosity, as well as a new "Programmatic Tool Calls" section, supporting the handoff of intermediate tasks such as filtering and batch processing to code to reduce the model's judgment burden. Additionally, the guide warns that GPT-5.6 strictly follows prompt rules, and conflicting instructions within the prompt will consume significant inference tokens and may lead to erroneous output.
Haseeb posted on X, stating that with models like GLM 5.2, Fable, and GPT 5.6 already launched and actively used by attackers, DeFi has not experienced the anticipated "hacker apocalypse." Chart data shows that based on the current year's data and running rate, the annualized amount stolen from DeFi in 2026 is approximately $1.89 billion. The cumulative stolen amount for the year is around $986 million, lower than the 2025 level and still within the historical range. Haseeb noted that the deeper change now is that while the number of hacker attacks has increased, the scale of individual attacks is declining more rapidly. Attackers are increasingly targeting smaller protocols and abandoned projects, while large protocols have implemented more security enhancements. As a result, overall fund security has not significantly deteriorated.
Tibo, a core member of OpenAI Codex, posted on X platform stating that previously, it was too easy for users to enable high-compute mode without fully explaining its impact on usage quotas. The large-scale revamp of the desktop application made common features like chats and projects difficult to find. Additionally, promotional efforts overly focused on ChatGPT Work, leading some Codex users to mistakenly believe that Codex would be phased out in the future. Furthermore, the new version also caused issues with some multi-agent workflows, plugin functions, and other user experiences.In response to the above issues, OpenAI has already rolled out the first batch of improvement measures, including adjusting default settings and the model selector to prevent users from accidentally using high-cost configurations, fixing several plugin submission issues, optimizing the presentation of Codex within the product, and resolving some desktop experience problems.Additionally, over the past 24 hours, OpenAI has been continuously collecting user feedback, analyzing usage patterns, and communicating with users. Although the market has shown strong interest in GPT 5.6 Sol and the web and mobile versions of ChatGPT Work, OpenAI also acknowledges that this update has multiple issues.As of now, two rounds of Codex and ChatGPT Work usage quota top-ups have been completed. The next larger-scale update will be released next week, when chat and project features will return to the sidebar in a more familiar and customizable form. The platform will also enhance the visibility of usage quotas and reset times, further clarifying the respective applicable scenarios for ChatGPT Work and Codex.
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.
OpenAI 表示，GPT-5.6 SOL、TERRA 和 LUNA 将于本周四公开发布，在全球范围内扩大预览访问权限。
the US Department of Commerce has approved OpenAI for the broad rollout of the GPT-5.6 model. According to insiders, OpenAI is expected to officially launch GPT-5.6 on a large scale this week, following the completion of additional safety tests and multiple rounds of meetings with US government officials. Previously, OpenAI was only permitted to release GPT-5.6 in phases to government-approved institutions, similar to the release restrictions previously imposed on Anthropic's Mythos and Fable models. (Axios)
According to Reuters citing The Information, SpaceXAI and Cursor plan to release their first jointly developed artificial intelligence model as early as Wednesday. The model was originally scheduled for launch early this week but was delayed for efficiency optimization. The report noted that the new model is expected to possess strong rapid information processing capabilities, with some performance aspects potentially competitive with Anthropic's Opus 4.8 and OpenAI's GPT 5.5.
Tech blogger Leo has revealed that OpenAI may make GPT-5.6 available to the public between July 7 and July 9, with the earliest possible date being July 7. The new model's plan usage quotas are said to be more generous, and OpenAI is further strengthening its safety strategies ahead of the launch.Additionally, according to sources, Google DeepMind has tentatively scheduled the release of Gemini 3.5 Pro for July 17. Another tech blogger, Astro Polo, stated that Gemini 3.5 Pro will support a 2 million token context window, doubling the 1 million token context window currently supported by Claude Sonnet 5, Claude Opus 4.8, and Claude Fable 5. This makes it more suitable for handling large codebases, lengthy documents, and long conversations.Note: The above information is based on market rumors and has not yet been officially confirmed by OpenAI or Google DeepMind.