Categories: FAANG

DALL·E 2 Research Preview Update

Last month, we started previewing DALL·E 2 to a limited number of trusted users to learn about the technology’s capabilities and limitations.

Since then, we’ve been working with our users to actively incorporate the lessons we learn. As of today:

  • Our users have collectively created over 3 million images with DALL·E.
  • We’ve enhanced our safety system, improving the text filters and tuning the automated detection & response system for content policy violations.
  • Less than 0.05% of downloaded or publicly shared images were flagged as potentially violating our content policy. About 30% of those flagged images were confirmed by human reviewers to be policy violations, leading to an account deactivation.
  • As we work to understand and address the biases that DALL·E has inherited from its training data, we’ve asked early users not to share photorealistic generations that include faces and to flag problematic generations. We believe this has been effective in limiting potential harm, and we plan to continue the practice in the current phase.

Learning from real-world use is an important part of our commitment to develop and deploy AI responsibly, so we’re starting to widen access to users who joined our waitlist, slowly but steadily.

We intend to onboard up to 1,000 people every week as we iterate on our safety system and require all users to abide by our content policy. We hope to increase the rate at which we onboard new users as we learn more and gain confidence in our safety system. We’re inspired by what our users have created with DALL·E so far, and excited to see what new users will create.

In the meantime, you can get a preview of these creations on our Instagram account: @openaidalle.

AI Generated Robotic Content

Recent Posts

10 Ways to Use Embeddings for Tabular ML Tasks

Embeddings — vector-based numerical representations of typically unstructured data like text — have been primarily…

4 hours ago

Over-Searching in Search-Augmented Large Language Models

Search-augmented large language models (LLMs) excel at knowledge-intensive tasks by integrating external retrieval. However, they…

4 hours ago

How Omada Health scaled patient care by fine-tuning Llama models on Amazon SageMaker AI

This post is co-written with Sunaina Kavi, AI/ML Product Manager at Omada Health. Omada Health,…

4 hours ago

Anthropic launches Cowork, a Claude Desktop agent that works in your files — no coding required

Anthropic released Cowork on Monday, a new AI agent capability that extends the power of…

5 hours ago

New Proposed Legislation Would Let Self-Driving Cars Operate in New York State

New York governor Kathy Hochul says she will propose a new law allowing limited autonomous…

5 hours ago

From brain scans to alloys: Teaching AI to make sense of complex research data

Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements,…

5 hours ago