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Transparency is important to us, so we want to inform you about a recent security incident at Mixpanel, a data analytics provider that OpenAI used for web analytics on the frontend interface for our API product (platform.openai.com). The incident occurred within Mixpanel’s systems and involved limited analytics data related to your API account. This was not a breach of OpenAI’s systems. No chat, API requests, API usage data, passwords, credentials, API keys, payment details, or government IDs were compromised or exposed. What happened On November 9, 2025, Mixpanel became aware of an attacker that gained unauthorized access to part of their systems and exported a dataset containing limited customer identifiable information and analytics information. Mixpanel notified OpenAI that they were investigating, and on November 25, 2025, they shared the affected dataset with us. What this means for you User profile information associated with use of platform.openai.com may have been included in data exported from Mixpanel. The information that may have been affected was limited to: - Name that was provided to us on the API account  - Email address associated with the API account - Approximate coarse location based on API user browser (city, state, country) - Operating system and browser used to access the API account - Referring websites - Organization or User IDs associated with the API account Our response As part of our security investigation, we removed Mixpanel from our production services, reviewed the affected datasets, and are working closely with Mixpanel and other partners to fully understand the incident and its scope. We are in the process of notifying impacted organizations, admins, and users directly. While we have found no evidence of any effect on systems or data outside Mixpanel’s environment, we continue to monitor closely for any signs of misuse. Trust, security, and privacy are foundational to our products, our organization, and our mission. We are committed to transparency, and are notifying all impacted customers and users. We also hold our partners and vendors accountable for the highest bar for security and privacy of their services. After reviewing this incident, OpenAI has terminated its use of Mixpanel.

If you’re exploring workflow automation, low-code tools, or ways to integrate scattered systems without heavy engineering (like me😃😃), you’ve likely come across n8n. n8n is an open-source automation tool that lets you connect apps, trigger workflows, and process data using a visual editor. n8n version 2 is finally here! Beta scheduled for Dec 8th and Stable scheduled for Dec 15th... What's coming: - Autosave is finally here! - Improved canvas look and feel - Updated sidebar - A few other surprises Catch the full details here. I am looking forward to the new user experience!

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GPT-5.1 in the API, the next model in the GPT-5 series built to balance intelligence and speed across agentic and coding tasks. Here’s what’s new in GPT 5.1: - Adaptive reasoning that adjusts thinking time by task complexity—spending more time on complex tasks and responding faster on simple tasks. - New reasoning_effort = 'none' mode, offers a fast, accurate non-reasoning path for latency sensitive use cases. Defaults to none when unspecified. - Extended prompt caching with retention up to 24 hours to reduce latency for long-running conversations. - Upgrades to coding: more communicative, highly steerable, better code quality, improved frontend UI generation. - New tools: apply_patch (structured diffs) and shell (controlled local CLI). - Pricing: Same pricing and rate limits as GPT-5 Codex Models: We also shipped gpt-5.1-codex and gpt-5.1-codex-mini. Here’s how to think about these models: - gpt-5.1: for everyday coding tasks - gpt-5.1-codex: for complex, long-running agentic coding - gpt-5.1-codex-mini: for cost-efficient edits and changes Next Steps: We recommend you test GPT-5.1 for coding and consider switching from GPT-4.1 to GPT-5.1 on reasoning_effort='none' for fast general-purpose tasks. Start building with GPT-5.1 and the latest examples in our API docs: The OpenAI Team