OpenAI just rolled out a free preview of ChatGPT's Advanced Voice mode to all users, powered by its cheaper GPT-4o mini model. It mimics the natural flow and tone of the flagship version, though audio time is capped by daily limits that alert you with 3 minutes left.
Hinge just rolled out an AI-powered feature called Prompt Feedback to save singles from cliché profile answers. Powered by OpenAI’s GPT-4o mini, it evaluates your prompt responses across three levels—from "Go a Little Deeper" to "Great Answer"—and suggests specific details to add instead of ghostwriting for you. Why it matters: Daters are fatigued by shallow swipe culture, and gentle AI nudges might bring back authentic conversations.
Former Twitter engineers just rolled out Particle, an AI newsreader that breaks down complex stories without stealing publisher traffic. The app offers multi-angle perspectives, an in-story chatbot, and prominent source links to send readers back to the original outlets. It's now free on iOS.
OpenAI just launched Predicted Outputs, a new API capability that slashes latency for gpt-4o and gpt-4o-mini by letting you feed in a reference string. It is tailored for partial rewrites—like updating docs, iterating on prior chat answers, or refactoring code inside an existing file.
OpenAI just revealed that ChatGPT reached 200 million weekly active users, doubling its user base from last fall. The surge was driven by new models like GPT-4o and bringing Plus features to free users, while 92% of Fortune 500 companies now use OpenAI's tools.
OpenAI just launched fine-tuning for GPT-4o across all paid developer tiers, giving teams a way to tailor its flagship model with as few as a dozen custom examples. Training costs $25 per million tokens, but organizations get 1M free training tokens daily through September 23.
OpenAI just launched GPT-4o mini, a powerful small model priced at 15 cents per million input tokens. It scores 82% on MMLU and outperforms rivals like Gemini Flash and Claude Haiku in math and coding tasks. Why it matters: Frontier-level intelligence just became dramatically cheaper to chain, parallelize, and scale.
