gpt

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%.

According to The Block, MoonPay has launched the AI payment tool PayBox, allowing users to integrate it with ChatGPT or Claude, enabling the AI assistant to directly prepare payment transactions for booking flights, restaurants, or online shopping. Users can choose to require a passkey approval for each transaction or set a limit for the AI to complete transactions autonomously.PayBox integrates cryptocurrency wallets with payment cards, supporting cross-chain transactions based on the x402 smart entity payment standard. It initially supports Solana and EVM-compatible chains, including Ethereum, Hyperliquid, Tempo, Base, Robinhood Chain, Arbitrum, and Polygon, with plans to support more AI platforms and DeFi features, such as token exchanges and perpetual contract trading, within the next month.MoonPay states that wallet private keys are protected through multi-party computation (MPC) and trusted execution environments (TEE), ensuring that no single party (including MoonPay or the AI assistant itself) can independently access the complete private key or sign transactions; payment card information is processed and stored, allowing the AI entity to complete purchases without accessing the underlying card details; this system is built on the key management infrastructure acquired by MoonPay earlier this year from Sodot.

On July 29, Tibo, the product lead for OpenAI Codex, announced on X that all usage limits for ChatGPT Work and Codex users have been reset, and released a statement regarding the issue of rapid consumption of GPT-5.6 Sol usage.In the previous weeks, a large number of users reported that the consumption speed of Codex limits exceeded expectations. OpenAI emphasized that it has not reduced the usage quotas of any subscription plans. After investigation, several reasons were found: Sol is more inclined to work for longer periods, execute more tool calls, and coordinate complex workflows than previous models; it consumes more tokens at the same reasoning level; programmatic tool calls (code mode) allow Sol to execute tool calls in parallel, resulting in more responses and higher usage per round; the distribution of impact is extremely uneven, with median user efficiency being acceptable, but heavy users handling complex tasks consuming far more than expected.OpenAI stated that multiple improvements have been completed, and it is expected that usage endurance will be extended by about 18% in typical usage scenarios. Tomorrow, the five-hour limit that was paused during the investigation will be restored. OpenAI acknowledged that "capabilities and efficiency do not always improve synchronously, and some issues only become apparent after large-scale real-world use; we should have realized this earlier."

According to the official status page of OpenAI, the widespread issues that ChatGPT and Codex experienced have been resolved, with the error rate remaining elevated for over 1 hour.

According to social media reports, OpenAI's ChatGPT and Codex are experiencing widespread outages.

OpenAI's programming agent Codex and office agent ChatGPT Work have a combined weekly active user count of 10 million. Just 9 days ago, it was 6 million. OpenAI subsequently reset the usage limits for paid users of both products.In March of this year, Codex had only 2 million weekly active users, and now the combined total for both products has expanded to 5 times.OpenAI had previously promised that for every additional 1 million users from 3 million to 10 million, the usage limits would be reset. This is the final milestone of this commitment.

B.AI announced that the entire series of GPT-5.6 models has officially landed on Web Chat. Previously, the B.AI API had already integrated the three models: GPT-5.6 Sol, GPT-5.6 Terra, and GPT-5.6 Luna. Starting today, users no longer need to configure the API; they can log in to directly experience the complete capabilities, including chat Q&A, content creation, code writing, and complex reasoning. This full opening marks the all-scenario implementation of the new generation of models within the B.AI ecosystem, providing "out-of-the-box" intelligent services for developers and ordinary users. In the future, B.AI will continue to lower the barriers to using cutting-edge AI technology, facilitating efficient creation and decision-making.

B.AI announced that it has officially integrated OpenAI's latest generation GPT-5.6 full model series into its API network. Starting today, developers can directly call three newly positioned models through B.AI's single interface, including GPT-5.6 Sol, which focuses on complex reasoning tasks, GPT-5.6 Terra, which is suitable for everyday workloads, and GPT-5.6 Luna, which emphasizes rapid response and high cost-effectiveness. This integration aims to provide developers with more flexible and stable computing power support in scenarios such as building intelligent agents, optimizing workflows, and exploring AGI applications.

According to the Financial Times, the UK's Financial Conduct Authority (FCA) has warned that regulation of artificial intelligence in the financial sector is facing an "arms race" and urged for new powers to regulate ChatGPT, Claude, and Gemini.

According to official news, OpenAI has officially launched the preview version of the next-generation GPT-5.6 series models, including the flagship model Sol, the balanced model Terra, and the fast low-cost model Luna. GPT-5.6 introduces a brand new maximum reasoning effort and features a super strong mode that accelerates complex tasks through sub-agents.The flagship model Sol introduces the Ultra mode, which combines maximum reasoning intensity with sub-agent collaboration. In the Terminal-Bench 2.1 command line workflow test, Sol achieved a score of 88.8%, which increased to 91.9% in Ultra mode, surpassing GPT-5.5's 83.4% and Claude Fable 5's 88.0%. The mid-range model Terra performs close to GPT-5.5 while being priced at half, and the lightest model Luna is designed specifically for everyday automation tasks. Sol is priced at $5 per million input tokens and $30 for output, and it supports reducing secondary call costs by utilizing prompt caching.In terms of security, the security assessment confirmed that Sol did not exceed the critical thresholds of the Preparedness Framework cybersecurity. OpenAI has invested over 700,000 A100 equivalent GPU hours in automated red team exercises, equipping the entire series of models with a defense stack that includes rejection mechanisms, real-time abuse classifiers, and account-level audits. Although the current limited release follows the U.S. government's security framework, OpenAI emphasizes that it does not want a government-led access mechanism to become the long-term default model, as it would limit defenders' access to cutting-edge tools.

Global automated broker Interactive Brokers announced the expansion of its Agentic trading feature, adding access to ChatGPT and Grok on top of the existing integration with Claude.It is reported that users can securely connect to the aforementioned AI tools through their existing accounts, using natural language for portfolio exploration, market analysis, and generating trading instructions. At the same time, the platform has expanded the asset classes for generating trading instructions from stocks and ETFs to options, futures, and futures options. To ensure the safety of funds, the system will not share passwords or API keys with AI providers, and all AI-generated trading instructions must undergo final review and approval by the user on a dedicated "AI Instructions" page before being submitted to the market.

OpenAI announced a comprehensive expansion of its cybersecurity program Daybreak, aimed at leveraging artificial intelligence to accelerate the discovery and automatic remediation of software vulnerabilities. The core of this expansion is the full version dedicated model GPT-5.5-Cyber launched for trusted defenders. It is reported that this model has set the highest score records in multiple cybersecurity benchmark tests, surpassing GPT-5.5's 81.8% and competitor Mythos 5's 83.8%, significantly improving the accuracy of vulnerability scanning and patch generation. At the same time, the synchronously updated Codex Security plugin has been deeply integrated into the developer workflow, supporting fully automated codebase scanning, threat modeling, and patch generation.In terms of ecosystem development, OpenAI has launched an exclusive partner program, allowing compliant security service providers to integrate GPT-5.5 with specific permissions into their commercial products; and has initiated the "Patch the Planet" program in collaboration with organizations like Trail of Bits to assist over 30 foundational open-source projects such as Python and Go in implementing vulnerability fixes. In addition, OpenAI revealed that it is currently engaged in deep cooperation with governments and institutions from multiple countries, including the United States, the United Kingdom, France, and Japan, to jointly enhance the cybersecurity capabilities of global critical infrastructure.