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Announcing GPT-4o: A New Era in Human-Computer Interaction

Introduction to GPT-4o

We are excited to introduce GPT-4o, our new flagship model designed to revolutionize human-computer interaction. GPT-4o, where "o" stands for "omni," represents a significant advancement in our technology, integrating reasoning across audio, vision, and text in real time. This model can handle a variety of input types, including text, audio, images, and video, and it can generate outputs in text, audio, and images.

Key Features of GPT-4o

Real-Time Response and Multimodal Input/Output

GPT-4o boasts impressive capabilities, such as:

• Response Speed: It can respond to audio inputs in as little as 232 milliseconds, with an average response time of 320 milliseconds, mirroring human conversational speed.
• Multimodal Interactions: Unlike previous models, GPT-4o accepts and generates any combination of text, audio, image, and video inputs and outputs.
• Performance: It matches GPT-4 Turbo's performance in English text and code, significantly improving non-English language processing, while also being faster and 50% cheaper in the API.
• Enhanced Understanding: The model excels in vision and audio understanding, surpassing existing models in these domains.

Evolution from Previous Models

Improvements Over Voice Mode

Prior to GPT-4o, our Voice Mode involved a multi-step process with separate models handling transcription, text processing, and audio output, resulting in latencies of 2.8 seconds (GPT-3.5) and 5.4 seconds (GPT-4) on average. This setup had limitations, such as:

• Information Loss: The main intelligence model couldn't observe tone, multiple speakers, or background noises directly, nor could it output nuanced audio expressions like laughter or singing.

Unified Model Architecture

With GPT-4o, we have developed a single, end-to-end model that processes text, vision, and audio inputs and outputs through the same neural network. This integration allows for more natural and efficient interactions, leveraging the model's full capabilities.

Model Safety and Limitations

Built-In Safety Mechanisms

GPT-4o incorporates advanced safety features across all modalities, including:

• Data Filtering: Techniques for filtering training data to avoid harmful content.
• Behavior Refinement: Post-training methods to refine the model’s responses.
• Guardrails for Voice Outputs: New systems to ensure safe and appropriate audio outputs.

Comprehensive Evaluations

We have rigorously evaluated GPT-4o according to our Preparedness Framework and voluntary commitments. The model's risk assessments in areas such as cybersecurity, CBRN (Chemical, Biological, Radiological, and Nuclear), persuasion, and autonomy do not exceed Medium risk levels. These evaluations involved:

• Automated and Human Testing: Extensive testing during the model training process, including pre- and post-safety-mitigation assessments.
• Custom Fine-Tuning: Tailored prompts to better understand the model's capabilities.

External Red Teaming

GPT-4o has been subjected to extensive external red teaming by over 70 experts in fields like social psychology, bias, fairness, and misinformation. Their insights have been crucial in identifying and mitigating risks associated with the model's new modalities.

Managing Novel Risks and Limitations

Controlled Rollout of Audio Modalities

Recognizing the unique risks associated with audio modalities, we are initially releasing text and image inputs and text outputs. Over the coming weeks and months, we will:

• Develop Technical Infrastructure: Enhance the infrastructure necessary for safe audio outputs.
• Ensure Usability: Improve usability through post-training adjustments.
• Implement Safety Measures: Release audio outputs with preset voices adhering to existing safety policies.

Ongoing Risk Mitigation

As we continue to explore GPT-4o's capabilities, we will address new risks as they arise. Detailed information about the full range of GPT-4o’s modalities will be provided in an upcoming system card.

Observed Limitations

During testing, several limitations were identified across all modalities. These insights will guide our future developments to enhance the model's performance and safety.

Conclusion

GPT-4o marks a significant milestone in the evolution of human-computer interaction, offering unprecedented real-time, multimodal capabilities. While we are excited about its potential, we remain committed to ensuring its safe and responsible deployment. Stay tuned for more updates as we continue to refine and expand the capabilities of GPT-4o.