OpenAI has published a comprehensive research overview outlining its approach to artificial general intelligence through multiple model families and capabilities.

The company's research spans four core areas: GPT models for general intelligence, o series for advanced reasoning, visual generation including DALL-E and Sora, and audio processing technologies.

GPT series advances toward AGI

OpenAI's latest GPT announcements include GPT-5.5, described as "a new class of intelligence for real work" released in April 2025. The company also introduced GPT-5.4 in March as its "most capable and efficient frontier model for professional work."

GPT-5.3 Instant launched in March 2025, focusing on "smoother, more useful everyday conversations" according to the research overview.

Reasoning models tackle complex problems

The o series represents OpenAI's push into advanced reasoning capabilities. The company released o3 and o4-mini in April 2025, billing them as "our smartest and most capable models to date with full tool access."

OpenAI o3-mini launched in January 2025 as a cost-effective reasoning model, while the original o1 model introduced "learning to reason with LLMs" in September 2024.

Multimodal capabilities expand

Visual generation advances include ChatGPT Images 2.0, launched in April 2025 as "a state-of-the-art model that makes precise, immediately usable visuals." Sora 2, released in September 2025, offers "physically accurate, realistic, and controllable" video generation with synchronized dialogue and sound effects.

Audio research has produced next-generation models for voice agents, released in March 2025, alongside the established Whisper speech recognition system.

"Safely aligning powerful AI systems is one of the most important unsolved problems for our mission," said Josh Achiam, researcher at OpenAI. "Techniques like learning from human feedback are helping us get closer."

OpenAI is actively hiring across research roles, including positions in performance engineering, cyber safety, and synthetic reinforcement learning, signaling continued expansion of its research capabilities.