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OpenAI added pay-as-you-go pricing for Codex on ChatGPT Business and Enterprise plans, removing the need for a fixed seat commitment to get started. Teams can now scale Codex usage up or down without upfront contracts. A meaningful change for teams that want to pilot Codex without a large spend commitment.
OpenAI announced a $122 billion funding round to expand frontier AI globally, invest in next-generation compute infrastructure, and meet growing demand for ChatGPT, Codex, and enterprise AI products. One of the largest private funding rounds in history, signalling continued massive investment in AI at the frontier.
OpenAI explains how their Model Spec works as a public framework governing model behaviour — balancing safety, user freedom, and accountability as AI systems become more capable and agentic. The post covers how the spec is written, how it influences training, and how it evolves. Important reading for developers and researchers thinking about AI alignment and model governance.
OpenAI launched a Safety Bug Bounty program specifically targeting AI abuse and safety risks — including agentic vulnerabilities, prompt injection, and data exfiltration in AI systems. Unlike traditional security bounties, this one focuses on AI-specific attack surfaces. Relevant for developers thinking about hardening their own agent systems.
OpenAI released prompt-based teen safety policies for developers via the gpt-oss-safeguard model, providing a programmatic way to moderate age-specific risks in AI products. Developers building consumer-facing apps can integrate these policies directly rather than building their own content moderation layer.
ChatGPT launched richer shopping and product discovery powered by the Agentic Commerce Protocol — enabling product comparisons, merchant integrations, and visual browsing directly in chat. A new surface for developers and merchants to integrate into the ChatGPT ecosystem via the commerce protocol.
OpenAI is acquiring Astral — the team behind Ruff (the fast Python linter) and uv (the fast Python package manager) — to accelerate Codex and the next generation of Python developer tools. Astral's tools are already widely used across the Python ecosystem, making this a significant move for AI-assisted Python development.
OpenAI launched GPT-5.4 mini and nano — smaller, faster variants of GPT-5.4 optimised for coding, tool use, multimodal reasoning, and high-volume API and sub-agent workloads. Mini targets tasks needing strong reasoning at lower cost; nano is designed for speed-critical pipelines. Important additions to the model lineup for developers choosing the right model for cost/performance tradeoffs.
OpenAI explains why Codex Security takes a fundamentally different approach to code security than traditional SAST tools — using AI-driven constraint reasoning to find real vulnerabilities rather than generating noisy false-positive reports. The post digs into the technical rationale and what this means for developers integrating security checks into AI coding workflows.
OpenAI outlines the architectural patterns used to defend ChatGPT agents against prompt injection and social engineering — constraining risky actions, separating trusted from untrusted content, and protecting sensitive data in agent workflows. Directly applicable to any developer building agents that process external content.
OpenAI engineering post on how they built an agent runtime using the Responses API, hosted shell tool, and containers — giving agents persistent file access, tool execution, and state across runs. Covers the architecture decisions behind making the Responses API a full agent execution environment rather than just a stateless inference endpoint.
OpenAI introduces IH-Challenge — a training approach that teaches models to correctly prioritise instructions from trusted sources over injected or untrusted ones. Improves resistance to prompt injection and makes models more steerable by operators. Research with direct implications for building safer agentic systems.
OpenAI is acquiring Promptfoo — an AI security platform that helps enterprises identify and fix vulnerabilities in AI systems during development. The acquisition follows Astral and signals OpenAI's push to own the full developer security stack for AI applications, not just the models.
OpenAI launched Codex Security — an AI-powered application security agent that analyses full project context to detect, validate, and auto-patch complex vulnerabilities with fewer false positives than traditional SAST tools. Now in research preview, it targets the security review step in AI-assisted development workflows.
OpenAI launched GPT-5.4 — their most capable and efficient frontier model to date, with state-of-the-art coding, computer use, tool search, and a 1M-token context window. Optimised for professional work and high-complexity tasks, GPT-5.4 replaces earlier models as the primary choice for demanding agent and coding workloads via the API.
OpenAI researchers found that reasoning models find it difficult to manipulate or suppress their own chain-of-thought reasoning — which is actually a safety feature, not a bug. The CoT-Control study shows that model reasoning remains largely monitorable even under adversarial pressure. Important finding for anyone building safety evaluations or monitoring systems for reasoning agents.
OpenAI launched ChatGPT for Excel, integrating GPT-5.4-powered assistance and new financial data connectors to speed modeling and analysis for regulated finance workflows. For developers and analysts, this provides programmatic natural-language formulas, data-cleaning helpers, and secure connectors that reduce manual spreadsheet work and lower integration overhead.
OpenAI authors extend single-minus amplitude techniques to gravitons and report results derived with assistance from GPT-5.2 Pro, advancing theoretical tools for quantum gravity calculations. This is notable for researchers using symbolic and model-aided derivations — it shows LLMs aiding nontrivial analytic work and verifies a new technical result in amplitude theory.
