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OpenAI introduces a new memory system for ChatGPT designed to better remember user preferences and maintain context across conversations. This improvement aims to make the assistant more personalized and relevant over the long term.
OpenAI enhances GPT-Rosalind with advanced biological reasoning, genomics analysis, and medicinal chemistry expertise. This update aims to accelerate life sciences research and experimental workflows.
Wasmer leveraged Codex with GPT-5.5 to develop a Node.js runtime for the edge, drastically reducing development time. The project demonstrates the power of frontier models in systems engineering.
OpenAI reports on how Codex is evolving into a broad productivity tool for knowledge work, automating research and data analysis workflows. This signals a shift toward more integrated AI-driven professional productivity.
OpenAI frontier models and Codex are now generally available on AWS. This integration allows enterprises to leverage OpenAI's capabilities within their existing AWS environments and procurement workflows.
Braintrust engineers are utilizing Codex and GPT-5.5 to automate the transition from customer requests to production code. This demonstrates an advanced agentic workflow for accelerating experimental development and deployment cycles.
Endava leverages OpenAI Codex to transition toward an agentic organization, significantly reducing requirements analysis time from weeks to hours. This case study highlights the practical impact of AI agents on accelerating enterprise software delivery.
Explores the development of self-improving agents using Codex to automate complex tax filings. Demonstrates a practical pattern for accuracy improvement and workflow acceleration in specialized agentic domains.
Warp is integrating GPT-5.5 and OpenAI models to coordinate coding agents across local, cloud, and open-source workflows. This represents a significant step in agentic development and tool orchestration for open-source projects.
An OpenAI model successfully solved the 80-year-old unit distance problem, disproving a major conjecture in discrete geometry. This marks a significant milestone in AI's ability to contribute to high-level mathematical discovery.
Ramp engineers are leveraging Codex with GPT-5.5 to dramatically accelerate their code review process. The system provides substantive feedback in minutes, significantly reducing the time spent on manual reviews.
OpenAI and Dell have partnered to deploy Codex in hybrid and on-premise enterprise environments. The move focuses on providing secure AI coding agents for corporate data and internal workflows.
OpenAI demonstrates how business operations teams can leverage Codex to automate the creation of initiative briefs and strategy updates. This highlights practical agentic workflows for transforming raw work inputs into leadership-ready decision packets.
Databricks has integrated GPT-5.5 into its enterprise agent workflows, leveraging the model's new state-of-the-art performance on the OfficeQA Pro benchmark to enhance corporate automation.
OpenAI Academy demonstrates how data science teams integrate Codex to automate the creation of KPI memos, impact readouts, and dashboard specifications from raw work inputs. This highlights practical agentic workflows for streamlining internal data reporting.
Sea Limited's CPO discusses the strategic deployment of Codex across engineering teams to accelerate AI-native development. Highlights the shift toward agentic software engineering in large-scale Asian markets.
OpenAI enables real-time monitoring and steering of Codex coding tasks via the ChatGPT mobile app. Allows developers to approve and manage remote environments on the go.
OpenAI details the architecture of a secure Windows sandbox for Codex. This implementation ensures coding agents operate with strict file access and network restrictions to prevent unsafe system modifications.
OpenAI outlines its response to the TanStack npm supply chain attack and provides critical security updates for macOS users. The post details protections implemented to secure signing certificates and system integrity.
Insights from a massive community experiment exploring AI-assisted ML research. The project highlights the effectiveness of coding agents in quantization and novel model design under strict constraints.