gpt

Amazon (AMZN.O) announced that OpenAI's GPT-6 Astra has now landed on Amazon Bedrock.

NVIDIA CEO Jensen Huang stated that GPT-6 Astra was trained using over 100,000 NVIDIA Grace Blackwell NVLink72 chips. It took only 4 years from ChatGPT to o1, and then to Astra. AGI has arrived. Congratulations to the OpenAI team.

B.AI platform announces that OpenAI's latest flagship model GPT-6 Astra is officially integrated into the platform API.As OpenAI's latest flagship intelligent model, Astra achieves SOTA levels in fields such as computer operations, web browsing, software engineering, cybersecurity, scientific research, and professional work. The model supports a context window of 1.05 million tokens and native multimodal input, specifically optimized for complex reasoning and long-term agent workflows.B.AI API is now open for calls, enjoying a 10% exclusive discount.

User chetaslua posted that they forced a hidden pop-up in ChatGPT, which contained the announcement for the built-in Codex ImageGen 2.5, stating "Image creation has received a significant upgrade" "Higher quality results, faster generation speed, and smarter creative tools."The user indicated that the related feature entry is still closed to everyone, and the hero image was uploaded on September 1.

OpenAI officially released GPT-6 Astra on Thursday, with President Greg Brockman calling it a "generational leap in capability" during the press conference, and believing that the model has reached the standard of Artificial General Intelligence (AGI), meaning that artificial intelligence can match or exceed human capabilities. Brockman stated, "Welcome to the era of AGI." If this judgment holds, it means AI entities will be closer to performing reasoning tasks in various complex tasks that humans can do, and even more.GPT-6 Astra is OpenAI's first model to cross the "critical" threshold under its internal danger capability scoring system, the Preparedness Framework, which means it can independently discover previously unknown software vulnerabilities (i.e., zero-day vulnerabilities) without gradual human supervision and chain them into attacks that can run in hardened systems. In testing, the model achieved a score of 100% on the ExploitBench benchmark; to rule out inflated scores due to memory answers, OpenAI conducted a second test using 20 recent vulnerabilities from the Google V8 JavaScript engine. Astra not only surpassed the previous generation GPT-5.6 Sol but also discovered and chained two previously unknown zero-day vulnerabilities, which are still being disclosed to the affected parties.Due to its high autonomy, the monitoring difficulty of Astra has also increased. OpenAI acknowledges that in tests assessing its ability to evade supervision, the model is more difficult to track than previous systems.

Several mainstream overseas AI services encountered issues tonight. Claude has already experienced two rounds of failures this evening. Sonnet 5 started showing errors at 20:37 Beijing time and announced recovery at 20:56; half an hour later, Anthropic reported a larger scope of multi-model error rate increase, affecting Mythos/Fable 5.1, Mythos/Fable 5, as well as Opus 5, 4.8, and 4.6. claude.ai, Claude API, Claude Code, and Claude Cowork are still in a partial failure state.Subsequently, Grok also went down. xAI marked Grok Web as "outage" from 21:30 Beijing time, and recovery has not yet been announced.Now OpenAI has also joined the list of failures. At 22:58 Beijing time, the OpenAI status page added an incident for "increased error rates for ChatGPT and Codex," stating that they are investigating the issue.

According to Bloomberg, the European Commission has classified OpenAI's ChatGPT as a "very large online search engine," and listed Reddit and Roblox as "very large online platforms," citing that their monthly active user count in the EU has exceeded 45 million.These platforms are required to enhance their handling of illegal and harmful content under the Digital Services Act (DSA), submit transparency reports, risk mitigation plans, and pay annual fees to the EU, with violations potentially incurring fines of up to 6% of global annual revenue. The DSA also mandates platforms to strengthen protections for minors and advertising transparency, and EU regulatory authorities have initiated over a dozen investigations into various online platforms based on this law.

On August 25, OpenAI announced the addition of proxy browsing capabilities for ChatGPT Work, enabling it to take over tasks on websites that require login and continue working. Users only need to enter their credentials or security codes once at the login interface, and the proxy can continue executing tasks, with sessions potentially remaining logged in for subsequent tasks without the need to log in again. OpenAI stated that this browser supports password managers, and the model cannot see usernames or passwords; this information will not be stored or used for training.However, one-time authentication effectively leaves a foothold for the proxy to maintain continuous access to the account. OpenAI's own models have previously exhibited boundary-crossing behavior, with approximately 1,200 OpenAI proxies (including GPT-5.6 Sol and a pre-release model) breaching the testing environment and invading Hugging Face's production servers to cheat benchmark tests, with about 700 proxies participating in the attack. This feature has been launched on the web and mobile browsers of ChatGPT Work, allowing users to clear sessions by site individually in the cloud browser settings.

On August 26, B.AI announced that the API is fully compatible with the OpenAI Responses API. Developers only need to configure the Base URL using the B.AI API Key to directly call the GPT series models supported by B.AI in the Codex development environment, seamlessly integrating cutting-edge large model capabilities into their daily coding workflow. This means that whether it's code generation, logical understanding, intelligent debugging, architectural refactoring, or team development collaboration, developers can obtain real-time intelligent assistance from the GPT series models in the Codex environment, comprehensively covering various scenario needs from individual development to team collaboration. Experience it now: http://b.ai

According to X user synthwavedd, OpenAI has recently completed the next phase of pre-training, internally codenamed "Bel," which is the successor model to the previous "Doug." This model has a total parameter count exceeding 10T, comparable in scale to GPT-4.5. It is expected that after further reinforcement learning, it will become the foundational model for Astra and GPT-6, and is anticipated to serve as the base model approaching the AGI threshold in the post-GPT-6 era.Reports indicate that this development has caused concern for Anthropic. OpenAI believes that Anthropic currently lacks an effective plan to respond to the public release of Astra; insiders claim that this assessment is largely accurate, primarily due to limited computing power. Anthropic is preparing for the possibility that OpenAI will dominate for the remainder of this year, but it is expected to regain a lead early next year.

Recently, multiple users discovered an image model named luna-lisa-alpha appearing on the LMArena testing platform, suspected to be a new generation image generation model that OpenAI is testing. Although not officially confirmed, there is speculation that it could be an early version of GPT Image 2.5 or the next generation of GPT Image.From the testing feedback, the new model shows significant improvements in character consistency, image realism, text generation capability, and noise control. Some testers compared it with models like GPT Image 2.0, Nano Banana Pro, and Grok Imagine, believing that luna-lisa-alpha can better maintain the appearance, clothing, and style of the same character across multiple generations. However, some testers pointed out that there are still issues with repeated textures in complex texture areas. On the same day, OpenAI announced that the GPT Image 2 API preview supports transparent background generation, which can be used for product images, web design, and other scenarios. The exposure of multiple checkpoint names has also led the community to speculate that OpenAI may be conducting A/B testing. Whether this model will be officially released remains uncertain, and we need to wait for official information from OpenAI.

At the 2026 World Robot Conference, Wang Xingxing, founder and chairman of Yushu Technology, delivered a keynote speech titled "From Exhibits to Products: The Next Decade of the Humanoid Robot Industry." He stated that the company has been continuously promoting the integration of robots into daily life in recent years, including applications in automotive factories, deploying simple tests in its own factory, and the AI team advancing robots into households for work. However, due to overall efficiency and versatility still being insufficient, large-scale promotion has not yet occurred.Wang Xingxing believes that moving towards an embodied intelligent ChatGPT moment ideally requires 2 to 3 years, or even longer, 5 to 10 years. Reaching this moment means that in 80% of unfamiliar scenarios, robots can successfully complete about 80% of tasks through voice or text commands. The most critical challenge currently is the alignment of input and output of AI large models with real robots.

OpenAI announced the expansion of its cybersecurity defense program Daybreak and launched the GPT-5.6-Cyber model specifically for the cybersecurity field, aimed at helping authorized security researchers and defense teams enhance their vulnerability discovery, threat analysis, and security testing capabilities. As attackers increasingly leverage AI to launch faster and larger-scale cyberattacks, defenders need to gain advanced AI capabilities in advance.This Daybreak offers two types of access: Daybreak Blue is aimed at most defense teams, providing general models such as GPT-5.6 Sol for vulnerability discovery, secure code review, malware analysis, incident response, and patch validation; Daybreak Red is aimed at advanced security research, providing GPT-5.6-Cyber for authorized vulnerability research, vulnerability validation, and security testing. GPT-5.6-Cyber is trained on GPT-5.6 Sol and optimized for cybersecurity tasks, including discovering zero-day vulnerabilities and analyzing exploit chains. It has been used in actual vulnerability research and has identified high-risk vulnerabilities in software, including the Chrome V8 JavaScript engine. Additionally, OpenAI stated that GPT-5.6-Cyber has also helped discover high-risk vulnerabilities in various domains, including privilege escalation vulnerabilities in mobile operating systems, remote code execution vulnerabilities in databases, and hundreds of privilege escalation vulnerabilities in operating system kernels.OpenAI also emphasized that Daybreak Red will only be accessible to approved individuals and organizations, controlling access through measures such as authentication, account security, monitoring, usage restrictions, and legal disclaimers. The company stated that it will continue to strengthen security monitoring, access management, and model security testing to reduce the risk of advanced cybersecurity models being abused.

Software company Strategy holds nearly 850,000 bitcoins, valued at just over $50 billion, with some recent purchases financed through debt and stock issuance. Michael Saylor's wealth has fluctuated with the price of bitcoin since he shifted the company to a bitcoin accumulation business in 2020. Michael Saylor stated that last year, with the help of an AI chatbot, he earned $15 billion through the company's issued bitcoin-backed preferred stock.The annual dividend yield of STRC issued by Strategy is 12%, and the recent price has rebounded to nearly $100, having dropped to about $75 in late June. Over the past year, the value of Strategy's common stock has decreased by about 80% alongside the price of bitcoin. The company recently sold some bitcoins to manage debt and dividend commitments and has established a $4 billion cash reserve to provide about two years of funding support for future financing. Michael Saylor also mentioned that last May, he used ChatGPT to conduct in-depth research to design the company's convertible preferred stock product.

On August 6, OpenAI first released usage data of ChatGPT across various countries, showing significant differences in usage across different scenarios, ages, and regions. In work scenarios, users utilizing ChatGPT for execution tasks (writing, editing, analyzing, etc.) accounted for over 50%, more than twice that of non-work scenarios; non-work scenarios are still primarily focused on "information retrieval." By age group, the proportion of messages from users over 35 years old globally increased by 5 percentage points year-on-year, with France and the Czech Republic seeing increases of over 10 percentage points. Nearly three-quarters of European countries exceeded the global average increase, while some regions in Southeast Asia saw smaller increases.Regionally, Latin America, Africa, and Oceania are narrowing the gap with early adopters, with Peru, Uruguay, and Costa Rica showing the fastest rankings rise. Multimodal (such as image generation and analysis) is the fastest-growing use case, with its global share rising to 7.8%, exceeding 10% in countries like Brazil and Colombia. OpenAI stated that the relevant data has been made public through the OpenAI Signals platform, aimed at helping policymakers and researchers understand the usage trends of over 1 billion users.

According to Fortune magazine, Michael Saylor, Executive Chairman of Bitcoin treasury company Strategy, stated that artificial intelligence is changing the way wealth is created, and businesses and individuals should not try to compete with machines but should leverage AI to amplify their own capabilities. In an interview, Saylor mentioned that he used ChatGPT to help Strategy design a preferred stock financing plan based on Bitcoin, ultimately enabling the company to raise about $15 billion through an IPO and related financing. He stated, "AI helped me create $15 billion."Saylor believes that the core advantage of the AI era is not to repeatedly execute tasks that machines can accomplish, but to ask better questions and use AI to explore new opportunities that were previously unattainable. "Don't try to work harder than robots." In recent years, Saylor has pushed Strategy to allocate Bitcoin on a large scale, transforming the company from a traditional software enterprise into a publicly traded company with Bitcoin as its core asset. Although this strategy comes with higher risks, Saylor stated that significant innovations often require enduring volatility and continuously adjusting direction. He noted that the successful entrepreneurs of the future will be those who can combine AI with human creativity, rather than individuals trying to replace AI in completing tasks.

An FBI agent, Patrick Yaroch, was arrested last Friday for allegedly stealing approximately $1 million in cryptocurrency from "hostile crypto accounts." According to the submitted affidavit, Yaroch is suspected of transferring the relevant assets starting from late 2024 or early 2025. Yaroch told investigators that he discovered some keys that allowed him to transfer funds from the digital wallet to himself. He expressed frustration at being unable to further prevent personnel related to "hostile nations" from using cryptocurrency and made about a dozen transfers.Department of Justice documents show that Yaroch admitted to a Department of Justice employee that he had "made some very bad decisions" regarding issues related to crypto wallets. In another interview with federal agents, he also acknowledged that he had "screwed up." Yaroch was previously a supervisory special agent in the FBI's Counterintelligence and Espionage Division and had earlier served in the FBI's Boston field office. The FBI terminated him on July 31. The investigation also indicated that Yaroch mixed personal funds with cryptocurrency assets and had used ChatGPT to inquire about how to handle these funds, including how to spend or invest $1 million and whether to leave the United States for a country in Europe.

According to Jinshi reports, the head of application research at OpenAI stated that GPT-5.6 Luna should have more applications, considering the rapid progress of the model, its cost is ridiculously low, and its speed is also very fast.

According to Jinshi reports, OpenAI has reduced the price of GPT-5.6 Luna by 80%, while the price of GPT-5.6 Terra has been reduced by 20%.