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Early methods for studying affective use and emotional well-being on ChatGPT
An OpenAI and MIT Media Lab Research collaboration.
Detecting misbehavior in frontier reasoning models
Frontier reasoning models exploit loopholes when given the chance. We show we can detect exploits using an LLM to monitor their chains-of-thought. Penalizing their “bad thoughts” doesn’t stop the majority of misbehavior—it makes them hide their intent.
AI tools are spotting errors in research papers
Article URL: https://www.nature.com/articles/d41586-025-00648-5 Comments URL: https://news.ycombinator.com/item?id=43295692 Points: 601 # Comments: 215
Moscow-based global news network has infected Western AI tools
Article URL: https://www.newsguardrealitycheck.com/p/a-well-funded-moscow-based-global Comments URL: https://news.ycombinator.com/item?id=43293121 Points: 167 # Comments: 107
Accelerating engineering cycles 20% with OpenAI
Accelerating engineering cycles 20% with OpenAI.
1,000 Scientist AI Jam Session
OpenAI and nine national labs bring together leading scientists for first-of-its kind event.
Deep research System Card
This report outlines the safety work carried out prior to releasing deep research including external red teaming, frontier risk evaluations according to our Preparedness Framework, and an overview of the mitigations we built in to address key risk areas.
Introducing the SWE-Lancer benchmark
Can frontier LLMs earn $1 million from real-world freelance software engineering?
Using OpenAI o1 for financial analysis
Rogo scales AI-driven financial research with OpenAI o1
Understanding complex trends with deep research
How OpenAI deep research helps Bain & Company understand complex industry trends.
Strengthening America’s AI leadership with the U.S. National Laboratories
OpenAI’s latest line of reasoning models will be used by nation’s leading scientists to drive scientific breakthroughs.
Operator System Card
Drawing from OpenAI’s established safety frameworks, this document highlights our multi-layered approach, including model and product mitigations we’ve implemented to protect against prompt engineering and jailbreaks, protect privacy and security, as well as details our external red teaming efforts, safety evaluations, and ongoing work to further refine these safeguards.
Trading inference-time compute for adversarial robustness
Trading Inference-Time Compute for Adversarial Robustness
Deliberative alignment: reasoning enables safer language models
Deliberative alignment: reasoning enables safer language models Introducing our new alignment strategy for o1 models, which are directly taught safety specifications and how to reason over them.
OpenAI o1 System Card
This report outlines the safety work carried out prior to releasing OpenAI o1 and o1-mini, including external red teaming and frontier risk evaluations according to our Preparedness Framework.
Morgan Stanley is shaping the future of financial services
Morgan Stanley uses AI evals to shape the future of financial services
Advancing red teaming with people and AI
Advancing red teaming with people and AI
Data-driven beauty and creativity with ChatGPT
Data-driven beauty: How The Estée Lauder Companies unlocks insights with ChatGPT
Introducing SimpleQA
A factuality benchmark called SimpleQA that measures the ability for language models to answer short, fact-seeking questions.
Simplifying, stabilizing, and scaling continuous-time consistency models
We’ve simplified, stabilized, and scaled continuous-time consistency models, achieving comparable sample quality to leading diffusion models, while using only two sampling steps.