gpt-realtime is OpenAI's new speech-to-speech model for production voice agents, delivering low latency and natural, expressive speech. The Realtime API is now GA, adding key features for developers like remote MCP support, image input, and SIP phone calling.
OpenAI developed OWL (OpenAI's Web Layer), a "revolutionary architectural approach" that separates the Chromium browser process from the main Atlas application, creating a more flexible and performant web browsing experience with ChatGPT integration:
Think of it like this: Chromium revolutionized browsers by moving tabs into separate processes. We re taking that idea further by moving Chromium itself out of the main application process and into an isolated service layer.
I don't see a lot of products using the realtime api in building their conversation ai agents. Given that it now has realtime communication support through WebRTC allowing low latency conversations, I expected it to blow up. Are there any limitations of this model like hallucinations and or is it just too expensive for commercial use?
gpt-oss-safeguard is a new family of open-source safety models (120b & 20b) from OpenAI. They use reasoning to classify content based on a custom, developer-provided policy at inference time, providing an explainable chain-of-thought for each decision.
SWE-Lancer is an open-source benchmark from OpenAI, featuring 1,400+ real-world software engineering tasks sourced from Upwork. Test your AI's coding and managerial skills.
