Today we launched a preview of OpenAI o1—the first in a new series of AI models.
Because o1 can reason about our safety rules in context, it can apply them more effectively.
We've rigorously tested and evaluated o1-preview, and our Preparedness Framework identified it as safe to release because it doesn't facilitate increased risks beyond what's already possible with existing resources. https://t.co/W28M7u40QG
We're releasing a preview of OpenAI o1—a new series of AI models designed to spend more time thinking before they respond.
These models can reason through complex tasks and solve harder problems than previous models in science, coding, and math. https://t.co/peKzzKX1bu
excited to announce Structured Outputs -- our newest feature in the api. model outputs will now reliably follow your exact json schemas, matching the parameters and types accurately.
schema reliability is now 100% with this feature enabled, up from 86% on our past gpt-4o model
Today we’re rolling out advanced Voice Mode in ChatGPT to small group of Plus users, all Plus users in fall. Richer and more natural real-time conversations make the technology less rigid — we’ve found it more collaborative and helpful and think you will as well.
We’ve developed Rule-Based Rewards (RBRs) to align AI behavior safely without needing extensive human data collection, making our systems safer and more reliable for everyday use. https://t.co/54IgGtwKdv
Our new mini model is significantly pushing the cost-intelligence frontier, and I can't wait to see all the new applications that it will enable! https://t.co/akHF9kM5nE
Launching GPT-4o mini: the most intelligent and cost-efficient small model yet!
Smarter and cheaper than GPT-3.5 Turbo, it’s ideal for function calling, large contexts, real-time interactions—and has vision capabilities. Can’t wait to see what you build!
https://t.co/Bv8Lt4bXVe
1/ Excited to share our new paper: "Prover-Verifier Games Improve Legibility of LLM Outputs"! We explore how to make large language model (LLM) outputs easier to check and thereby more legible. 🧵
Excited to share our new work “Prover-Verifier Games improve legibility of language model outputs”! We trained strong language models to produce text that is more checkable by weak language models, and found that this also made it more legible to humans. https://t.co/jSIaurZboL