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OpenAI: Model Behavior

paper

Author

Rakshith Purushothaman

Credibility Rating

4/5
High(4)

High quality. Established institution or organization with editorial oversight and accountability.

Rating inherited from publication venue: OpenAI

OpenAI's research overview page documenting their major AI development efforts across language models, reasoning systems, and multimodal models, providing transparency into their technical direction and safety-relevant research priorities.

Paper Details

Citations
0
Year
2025

Metadata

homepage

Summary

This is OpenAI's research overview page describing their work toward artificial general intelligence (AGI). The page outlines OpenAI's mission to ensure AGI benefits all of humanity and highlights their major research focus areas: the GPT series (versatile language models for text, images, and reasoning), the o series (advanced reasoning systems using chain-of-thought processes for complex STEM problems), visual models (CLIP, DALL-E, Sora for image and video generation), and audio models (speech recognition and music generation). The page serves as a hub linking to detailed research announcements and technical blogs across these domains.

Cited by 15 pages

Cached Content Preview

HTTP 200Fetched Mar 15, 20268 KB
Research \| OpenAI

Research

# Pioneering research on the path to AGI

We believe our research will eventually lead to artificial general intelligence, a system that can solve human-level problems. Our mission is to ensure that AGI benefits all of humanity.

[View research index](https://openai.com/research/index/) [Learn about safety](https://openai.com/safety/)

![[2.0] Research > Hero > Media Item](https://downloads.ctfassets.net/kftzwdyauwt9/4FnPiaiJdmc3R04H7kGR4N/8b115455fddf2921431f454f65b6ee22/Research_Hero.png?w=3840&q=90&fm=webp)

Focus areas

### We use Deep Learning to leverage large amounts of data and advanced reasoning to train AI systems for task completion.

### GPT

OpenAI’s GPT series models are fast, versatile, and cost-efficient AI systems designed to understand context, generate content, and reason across text, images, and more.

![5.2-Blog-1x1](https://images.ctfassets.net/kftzwdyauwt9/1Tc0kBv3H0HRXf7SsizFfA/1a8b076fa71453ac7e822e30756fc066/5.2-Blog-1x1.png?w=3840&q=90&fm=webp)

[Advanced frontier model for professional work and long-running agents\\
\\
ReleaseDec 11, 20257 min read](https://openai.com/index/introducing-gpt-5-2/)

![""](https://images.ctfassets.net/kftzwdyauwt9/36rrQWIMq8c8RHv5aqwEPx/633ea96e656945ba07aef273d238be1e/5-1_Blog_ArtCard_1x1.png?w=3840&q=90&fm=webp)

[A smarter, more conversational ChatGPT\\
\\
ReleaseNov 12, 20258 min read](https://openai.com/index/gpt-5-1/)

![GPT-5 ResearchBlog ArtCard 1x1](https://images.ctfassets.net/kftzwdyauwt9/71W5KhVHCWpvvYtgtED9gi/c654a6ebee4cd141871c4449c1407af8/GPT-5_ResearchBlog_ArtCard_1x1.png?w=3840&q=90&fm=webp)

[Our smartest, fastest, and most useful model yet, with thinking built in\\
\\
ReleaseAug 7, 202515 min read](https://openai.com/index/introducing-gpt-5/)

### o series

OpenAI’s o series models are advanced reasoning AI systems that use chain-of-thought processes to solve complex STEM problems through logical, step-by-step analysis.

Your browser does not support the video tag.

[Our smartest and most capable models to date with full tool access\\
\\
OpenAI o3 and o4-miniApr 16, 202511 min read](https://openai.com/index/introducing-o3-and-o4-mini/)

![o3-mini > cover image](https://images.ctfassets.net/kftzwdyauwt9/BQXodBZ63FtQq6CGcPQQh/955ea49d3cf09e7ad33129d8a81b4087/o3-mini_1.1.png?w=3840&q=90&fm=webp)

[Pushing the frontier of cost-effective reasoning\\
\\
OpenAI o3-miniJan 31, 20256 min read](https://openai.com/index/openai-o3-mini/)

![OpenAI o1](https://images.ctfassets.net/kftzwdyauwt9/6ERYwPGeSFjSDRzD9ZeSZM/8fc12647977085317692108a4116f2e2/o1_1.1.png?w=3840&q=90&fm=webp)

[Learning to reason with LLMs\\
\\
OpenAI o1Sep 12, 20249 min read](https://openai.com/index/learning-to-reason-with-llms/)

### Visual

Our research on generative modeling for images has led to representation models like CLIP, which makes a map between text and images that an AI can read, and DALL-E, a tool for creating vivid images from text descriptions.

![Sora 2 research 

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