codex

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.

On-chain analyst Specter issued a community alert on the X platform, indicating that the BNB Chain ecosystem project CodexField may have fraud and Rug Pull risks. The project has raised over $85 million with official support from BNB Chain.Specter tracked and found that the project wallet began transferring 17.3 million USDT from Tron to Ethereum, then exchanged it for DAI through Bitget Swap and transferred it to Polygon. Currently, $6.5 million has been transferred, while $10.8 million is still pending. The project operates two domain names and four subdomains for user deposits, and Blocksec MetaSuites has labeled the deposit contract as "Fake CodexField," but on-chain evidence shows that the contract is controlled by the project team. The flow of project funds is abnormal, as they are deposited into centralized exchanges through multiple chains and intermediary wallets, with just two Tron wallets having deposited over $3.4 million into exchanges. Specter calls on Binance founder Zhao Changpeng and BNB Chain to pay attention to this matter and possibly initiate an investigation.

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.

Samsung Electronics announced the deployment of ChatGPT Enterprise and Codex to all its employees in South Korea and employees in the global Device Experience (DX) department. This collaboration is one of OpenAI's largest enterprise-level deployments to date.It is reported that Samsung Electronics plans to widely apply these AI tools in core business areas such as software development, product research and development, marketing, and manufacturing, covering both technical and non-technical positions, to enhance employee productivity and problem-solving capabilities. This deployment also marks the expansion of Samsung's partnership with OpenAI from the early stage of AI infrastructure (advanced memory semiconductor supply) to the enterprise-wide AI office application level.

Slow Fog's Yuxian stated on platform X that incidents of search engine poisoning involving fake Codex, Claude Code, and others have recently surged. It mentioned that it has previously warned multiple times about Google search results and its own services like Google Sites being exploited by black and gray market poisoning, but Google has not taken action against such obvious poisoning methods.

The OpenAI official status page shows that OpenAI is investigating multiple service outages, with the Codex 5.5 engine experiencing a high error rate, particularly affecting free users. All Codex users have also seen an increase in latency for gpt 5.5.In addition, the Realtime API's SIP/WebRTC process has experienced interruptions, which has been officially marked as "under investigation," and the related issues have persisted for several hours. The official website notes that the impact of the outage varies depending on subscription level and the models and features used.

Thibault Sottiaux, the head of OpenAI Codex, announced that the usage limits for Codex across all plans have been reset to align with the newly launched plugin system and to encourage users to experience it.The first batch of integrated plugins includes commonly used developer tools such as Slack, Figma, Notion, and Gmail, allowing users to utilize Codex capabilities in more application scenarios.

According to WSJ, OpenAI plans to merge ChatGPT, Codex, and its browser into a single desktop "super app" aimed at simplifying the user experience.

OpenClaw founder Peter SteinBerger posted on the X platform, stating that the team is considering how to make the OpenClaw plugin system more powerful while keeping the core system more streamlined, and plans to add support for the Claude Code and OpenAI Codex plugin packages.He revealed that the next OpenClaw version update is expected to be released this Sunday, and the new version will allow users to ask questions at any time while the AI Agent is performing tasks. Meanwhile, Peter SteinBerger disclosed that the automated task filtering system developed for X is performing well, running every five minutes to automatically identify and clean up spam, marketing replies, and other content, thereby enhancing the effective interaction experience.

OpenAI today released the GPT-5.3-Codex-Spark research preview, a streamlined version of GPT-5.3-Codex, and the first model designed specifically for real-time coding, supporting targeted editing, reshaping logic, or optimizing interfaces, with immediate result visibility.Codex-Spark has been optimized to run on ultra-low latency hardware, achieving near-instantaneous responses—delivering over 1000 tokens per second while still handling actual coding tasks.

OpenAI today announced the launch of GPT-5.2-Codex, based on GPT-5.2. OpenAI co-founder Sam Altman stated that it has been specifically trained for agent coding and end-user applications, and OpenAI employees have achieved great success using it.Additionally, OpenAI is reportedly planning to raise up to $10 billion at a valuation of $830 billion.

ChainCatcher news, Ethereum co-founder Vitalik Buterin stated that low-cost stablecoin transactions remain one of the most important sources of large-scale value in the current cryptocurrency landscape.He also mentioned his delight at Codex joining the Ethereum L2 ecosystem and acknowledged that the project has valued the synergy with Ethereum L1 since its launch.

ChainCatcher message, according to the tracking data from the Web3 asset data platform RootData, in the past 7 days, the stablecoin payment company Codex has been the project with the most new followers among X (Twitter) Top personalities. New influential figures following this project include well-known KOL 0xSun (@0xSunNFT), airdrop blogger Hebi (@hebi555), and famous yield farmer Fengmi (@KuiGas).

ChainCatcher message, OpenAI officially announced that the Codex feature has now landed on the ChatGPT iOS app. Users can initiate tasks, view code differences, request changes, and push PRs on their mobile devices, with support for real-time activity display on the lock screen. Before using it, you need to complete the Codex setup on the web version, and then you can use it in the mobile app.

ChainCatcher news, according to Jinshi reports, OpenAI has launched a brand new cloud-based code agent------Codex on its official website. Codex can automatically perform various tasks for developers, such as writing functional code, answering questions about codebases, fixing bugs, and proposing pull request reviews, with each task running in its own cloud sandbox environment while being able to preload the user's codebase.It is reported that Codex is powered by the Codex-1 model, which is a fine-tuned version of OpenAI-o3 specifically optimized for software engineering. Through reinforcement learning, it has been trained on real-world coding tasks in various environments, and the generated code can align with the programmer's coding style and pull request preferences, strictly adhering to instructions.