OpenAI
OpenAI is an AI organization whose stated mission is to ensure that artificial general intelligence benefits all of humanity.
OpenAI Graduates Codex Goal Mode for Long-Running Coding Tasks
OpenAI says Codex’s goal mode is now a persistent workflow for assigning the agent a concrete software milestone and letting it work until the stated completion criteria are met, even over hours or days. The feature, available in the Codex app, IDE extension and CLI, turns a `/goal` prompt into the task definition Codex uses to judge when it is done. OpenAI argues the mode is best suited to work with observable endpoints, while still allowing users to steer, inspect, pause, resume or revise the goal as the run progresses.
OpenAI Adds Team Sharing for Custom Codex Plugins
OpenAI says Codex plugins can now be shared across a workspace rather than remaining local to one user’s machine. The update lets creators distribute custom plugins to invited users or anyone in the workspace with a link, gives recipients a “Shared with you” area in the plugin directory, and adds direct share URLs for curated plugin pages. The company’s case is that recurring team workflows such as onboarding, pull-request preparation, and Slack triage can be packaged as Codex plugins and reused by teammates from inside the app.
GPT-5.5 Improves Fact Extraction From Messy Clinical Conversations
Matt Sanders of Abridge argues that GPT-5.5 improves clinical note generation by extracting more relevant facts from provider-patient conversations, rather than merely producing smoother summaries. His case is that medical encounters rarely unfold in order: patients and clinicians return to issues, add detail later, and leave key facts scattered across the visit. Abridge says better first-pass fact extraction in those messy conversations can produce more complete notes and reduce documentation burden for providers.
General-Purpose AI Finds Better Construction for Planar Unit Distance Problem
OpenAI says a general-purpose reasoning model has found a new family of constructions for the planar unit distance problem, a combinatorial geometry question posed by Paul Erdős in 1946. The result challenges a decades-old expectation that roughly square-grid arrangements were essentially best possible, and mathematicians including Timothy Gowers and Mark Sellke describe it as a clear case of AI producing a breakthrough on a prominent open problem. OpenAI frames the result as evidence that AI can accelerate research by exploring long, delicate chains of reasoning, while leaving problem choice and interpretation to human experts.
ChatGPT for Excel Adds Audit Trails to Finance Workbook Reviews
A demo of ChatGPT for Excel shows how finance teams could review a CFO performance workbook before it reaches leadership. The case it makes is constrained: ChatGPT inspects the model in Excel, flags tie-out breaks, stale source data and variance issues, applies only mechanical cleanup, and creates workbook tabs for the issue log, fixes, remaining risks and owner questions. The source presents the tool less as a substitute for financial judgment than as a way to put a documented audit trail and readiness verdict inside the file itself.
Codex Is Moving From Code Generation to Delegated Knowledge Work
Codex is moving from a coding assistant toward an agent for delegated knowledge work, according to Thibault Sottiaux, OpenAI’s head of Codex. In an OpenAI Forum conversation with Chris Nicholson of OpenAI Global Affairs, Sottiaux argues that as models have become more reliable and better connected to workplace context, Codex is being used to research, organize information, create files and presentations, coordinate across tools, and run background tasks. That shift, he says, makes delegation, trust and access controls central as agents act across files, communications tools and company systems.
Images 2.0 Moves Image Generation From Novelty to Workflow Tool
OpenAI product lead Adele Li and researcher Kenji Hata argue that Images 2.0 marks a shift from novelty image generation to a working visual layer inside ChatGPT. In a podcast discussion with Andrew Mayne, they point to 1.5bn images generated weekly, sharper text rendering, stronger photorealism, broader aspect ratios and more consistent characters as evidence that the model is moving into education, internal communication, marketing assets, software mockups and other practical creative work.
GPT-Realtime-2 Turns Voice Agents Into Tool-Using Reasoning Systems
OpenAI’s Build Hour on GPT-Realtime-2 presented the new realtime voice release as a shift from conversational voice interfaces toward tool-using, stateful agents. Teri Yu and Erika Kettleson argued that GPT-realtime-2’s larger context window, stronger instruction following, parallel tool calling and controllable speech behavior let developers build voice systems that can operate apps, reason across workflows and know when not to speak. Sierra’s Ken Murphy and Soham Ray added that production voice agents still depend on the surrounding system: guardrails, tuned turn-taking, tracing, redaction, evaluations and customer-specific workflows.
Codex Can Now Operate Local Mac Apps Without Taking Over
OpenAI’s Ari Weinstein argues that computer use turns Codex from a coding agent into a system that can operate local Mac applications by seeing interfaces, clicking, typing and continuing work in the background. In a demonstration with Romain Huet, Weinstein presents the feature as distinct from a full-desktop takeover: Codex uses a separate cursor, combines screenshots with macOS accessibility data, and requires app-by-app permission before it can see or type into local software.
Endava Treats Codex as a Lifecycle Agent, Not a Coding Assistant
Endava executives Joe Dunleavy and Mike Krolnik argue that Codex is changing software delivery less by speeding up individual coding than by shifting teams toward supervising generated work across the lifecycle. Dunleavy says small teams can deliver more value in compressed time as their role moves from producing code to overseeing Codex’s output. Krolnik says the tool also helps senior architects turn intent into usable artifacts and enables junior staff to produce more mature work, extending Codex’s role into planning, documentation, diagrams, and client-facing explanation.
Codex Can Now Work Inside Users’ Live Chrome Sessions
OpenAI’s Dominik Kundel presents Codex’s new Chrome extension for macOS and Windows as a way for the agent to work inside a user’s actual browser session, including logged-in apps, open tabs, cookies, and local context. He argues that plugins remain the faster route for structured tasks, but Chrome access matters when the work depends on a live web app, an existing browser state, or actions such as filling forms, uploading files, and coordinating work across multiple tabs without taking over the user’s browser.
OpenAI Splits Audio API Into Translation, Transcription, and Voice-Agent Models
OpenAI is presenting three new API audio models as infrastructure for voice applications that can translate, transcribe, reason and act in real time. Romain Huet’s demonstration centered on GPT-Realtime-Translate, which keeps pace with multilingual speech, and GPT-Realtime-2, a voice-agent model that can follow turn-taking instructions, use business context and call tools while explaining its work. GPT-Realtime-Whisper completes the set as a streaming speech-to-text model for live transcription.
Multipath Reliable Connection Keeps Massive GPU Training Clusters in Sync
OpenAI’s Mark Handley and Greg Steinbrecher argue that frontier AI training has outgrown conventional data-center networking because synchronized GPU clusters are constrained by their worst congestion or failure, not average throughput. They present Multipath Reliable Connection, developed with major hardware and cloud partners, as OpenAI’s answer: a protocol that spreads traffic across many paths, detects loss quickly, routes around failures from the endpoints, and is being pushed as an open standard for the wider industry.
Codex Turns Sales Meeting Prep Into a Cross-App Workflow
A Codex sales-prep walkthrough argues that sellers can use one conversation thread to assemble customer-meeting context across Google Calendar, Salesforce, Google Drive, Slack, Gmail, and a pipeline dashboard. Using an Acme Corporation expansion review as the example, the source shows Codex identifying the relevant opportunity and risks, creating a meeting brief, drafting internal and customer follow-up, updating Salesforce next steps, and filtering the pipeline view. Its central claim is that Codex reduces the manual work of preparing for a sales meeting by carrying context and actions across the systems sellers already use.