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OpenAI supports the EU Code of Practice on AI content transparency, advancing provenance standards and tools to help people understand AI-generated content.
Supporting Europe’s work in ensuring a trustworthy AI ecosystem Read More »
Access OpenAI models and Codex through Oracle Cloud, using existing commitments to build and deploy AI with enterprise security and governance.
Access OpenAI models and Codex through your Oracle cloud commitment Read More »
A new report from OpenAI details PRC-linked influence operations using AI to target U.S. tech debates, data center narratives, tariffs, and false claims about ChatGPT.
PRC-linked influence operations are targeting AI debates in the US Read More »
The demo to Production Death Valley If you’ve worked on an AI feature, you know the feeling. You start building something that you are excited about, set launch timelines. The model spits out a perfect response, the prototype works magically, and everybody in the room is mentally calculating how big this product will be when
The PM’s Playbook for Shipping AI Features That Actually Work in Production Read More »
See how LSEG uses OpenAI to scale trusted AI across its global business, accelerating insights, shrinking release cycles, and empowering 4,000 employees.
From data to decisions: how LSEG is scaling trusted AI Read More »
How engineers at Nextdoor use Codex with GPT-5.5 to investigate hard-to-reproduce issues, build across platforms, and focus on product outcomes.
How engineers at Nextdoor use Codex to build without limits Read More »
On June 1, GitHub Copilot’s usage-based billing became active for all Copilot plans, and developers reacted quickly and loudly. A Pro plan still costs $10, but it now comes with a monthly pool of AI credits. Those credits are priced at a penny each, and they’re consumed according to the model used and the tokens
The Subsidy Ended: What Tool-Using Agents Actually Cost Read More »
The following article originally appeared on Addy Osmani’s blog and is being reposted here with the author’s permission. A long-running AI agent can keep making progress over hours, days, or weeks. It can do this across many context windows and sandboxes, recover from failure, leave structured artifacts behind, and resume where it left off. For
OpenAI confirms a confidential S-1 submission to the SEC and has not yet determined timing for further action.
The following article originally appeared on Paolo Perrone’s The AI Engineer Substack and is being reposted here with the author’s permission. Your team picks LangGraph for a customer support chatbot. Three weeks in, you’ve got 14 nodes in a state graph, a custom checkpointer writing to Redis, and retry logic for tool calls that fail
