Articles from openai.com
37 kept
- Codex-maxxing for long-running work
The piece describes practical strategies for using OpenAI's Codex as a persistent workspace to manage complex, long-running workflows across multiple prompts.
- Built to benefit everyone: our plan
OpenAI announces a third-phase strategy to make AGI widely accessible, accelerate scientific research, and distribute economic gains broadly rather than concentrating power.
- Dreaming: Better memory for a more helpful ChatGPT
OpenAI launched a new memory system called Dreaming that automatically synthesizes context from past conversations to improve ChatGPT's personalization and freshness.
- Codex for every role, tool, and workflow
OpenAI launched role-specific plugins, Sites, and annotations for Codex, enabling non-developers to build apps, dashboards, and reports across 62 apps.
- Building self-improving tax agents with Codex
OpenAI and Thrive Holdings built a self-improving tax agent using Codex that automates tax preparation and measurably improves over time through practitioner feedback and production traces.
- Work with Codex from anywhere
Codex is now available in the ChatGPT mobile app, enabling users to monitor and direct long-running coding tasks from their phone via a secure relay.
- Advancing voice intelligence with new models in the API
OpenAI launched GPT-Realtime-2, GPT-Realtime-Translate, and GPT-Realtime-Whisper in its API to enable developers to build more natural, intelligent, and real-time voice applications.
- GPT-5.5 Instant: smarter, clearer, and more personalized
OpenAI's GPT-5.5 Instant reduces hallucinated claims by 52.5% on high-stakes prompts and delivers tighter, more personalized responses as ChatGPT's new default model.
- How OpenAI delivers low-latency voice AI at scale
OpenAI rebuilt its WebRTC stack with a relay-transceiver architecture to reduce latency and manage scale for real-time voice AI across 900 million users.
- Where the goblins came from
OpenAI traces how their models' goblin metaphor tic originated from a reinforcement-learning reward signal for a Nerdy personality, then spread via training data contamination.
- Introducing workspace agents in ChatGPT
OpenAI launches workspace agents for team use, enabling shared, cloud-based agents that handle complex workflows like report generation and code writing within organizational permissions and controls.
- Codex for (almost) everything
OpenAI released a major update to Codex, enabling it to control the user's computer, use a browser, generate images, and automate tasks across the software development lifecycle.
- Inside our approach to the Model Spec
OpenAI details its Model Spec as a public, evolving framework to define, train, and evaluate intended model behavior, balancing safety, user freedom, and accountability.
- How we monitor internal coding agents for misalignment
OpenAI's monitoring of internal coding agents using GPT-5.4 Thinking detects over-eager behavior but no scheming, with less than 0.1% of traffic outside coverage.
- Why Codex Security Doesn’t Include a SAST Report
Codex Security was designed to start from repository context and intent rather than SAST reports, using validation and falsification to surface vulnerabilities with stronger evidence.
- Designing AI agents to resist prompt injection
OpenAI argues that defending against prompt injection in AI agents requires treating attacks as social engineering and designing systems to constrain impact rather than just filtering inputs.
- The five AI value models driving business reinvention
Companies that successfully reinvent with AI treat it as a portfolio of five compounding value models rather than isolated pilots, sequenced from workforce empowerment to agent-led process re-engineering.
- GPT-5.3 Instant: Smoother, more useful everyday conversations
OpenAI releases GPT-5.3 Instant, an update to ChatGPT's most-used model improving conversational tone, reducing refusals, and providing more accurate, well-synthesized answers.
- Our agreement with the Department of War
OpenAI announces a contract with the Pentagon for classified AI deployments, emphasizing cloud-only deployment, retained safety guardrails, and explicit prohibitions against domestic surveillance and autonomous weapons.
- Scaling AI for everyone
OpenAI raises $110B at $730B valuation from SoftBank, NVIDIA, and Amazon to scale AI infrastructure and products.
- Introducing GPT-5.3-Codex-Spark
OpenAI releases GPT-5.3-Codex-Spark, a real-time coding model with 1000+ tokens per second via Cerebras hardware, available in research preview for ChatGPT Pro users.
- Harness engineering: leveraging Codex in an agent-first world
OpenAI's team built a production-grade codebase entirely via Codex agents, finding that engineering shifts from writing code to designing agent-legible environments, feedback loops, and architectural guardrails.
- Introducing GPT-5.3-Codex
OpenAI launches GPT-5.3-Codex, a coding agent that improves on prior benchmarks, runs 25% faster, and was used to develop itself.
- Unlocking the Codex harness: how we built the App Server
OpenAI introduced the Codex App Server, a bidirectional JSON-RPC protocol that exposes the full Codex agent harness for embedding in IDEs, web apps, and terminal clients.
- Introducing the Codex app
OpenAI's new macOS Codex app serves as a command center for managing multiple AI coding agents in parallel, with skills, automations, and configurable sandbox security.
- Inside OpenAI’s in-house data agent
OpenAI built an internal AI data agent using GPT-5, Codex, and memory to reason over massive datasets, delivering insights in minutes.
- Keeping your data safe when an AI agent clicks a link
OpenAI prevents URL-based data exfiltration by only allowing AI agents to auto-fetch URLs that were independently observed in a public web index.
- Unrolling the Codex agent loop
OpenAI explains the architecture of Codex CLI's agent loop, detailing how it orchestrates model inference, tool calls, and context management using the Responses API.
- A business that scales with the value of intelligence
OpenAI's CFO describes a business model where revenue scales with compute capacity, citing 10x ARR growth to $20B+ from 2023–2025.
- Continuously hardening ChatGPT Atlas against prompt injection attacks
OpenAI uses reinforcement learning-based automated red teaming to discover and patch prompt injection attacks against the ChatGPT Atlas browser agent.
- Introducing GPT-5.2-Codex
OpenAI releases GPT-5.2-Codex, an agentic coding model with improved long-context understanding, Windows support, and cybersecurity capabilities, including discovery of a React vulnerability.
- The new ChatGPT Images is here
OpenAI releases GPT-Image-1.5, a new image generation model for ChatGPT and the API, claiming 4× faster generation with better editing and consistency.
- How we used Codex to build Sora for Android in 28 days
OpenAI used its Codex agent to build the Sora Android app in 28 days with a four-engineer team, achieving a 99.9% crash-free rate on launch.
- Ten years | OpenAI
OpenAI CEO reflects on ten years of progress toward AGI, citing key breakthroughs and iterative deployment as the right strategy.
- Introducing shopping research in ChatGPT
OpenAI launches shopping research in ChatGPT, a conversational tool that researches products and builds personalized buyer's guides using GPT-5 mini.
- How evals drive the next chapter in AI for businesses
OpenAI advocates that "evals" — structured evaluation frameworks — are essential for businesses to turn vague AI goals into measurable, reliable outcomes.
- Building more with GPT-5.1-Codex-Max
OpenAI releases GPT-5.1-Codex-Max, a faster coding model using compaction for long-horizon tasks across multiple context windows.