Worth Knowing
All topics

Topic

Models

AI news about new or updated AI models and what they can do.

4 stories in the last 24 hours

Today

3 stories
  1. Worth knowing The Verge

    ChatGPT will now make you animated GIFs

    This update expands ChatGPT's multimodal media capabilities by introducing native, customizable animation tools powered by a new image model.

    OpenAI has updated ChatGPT with the ability to natively generate animated GIFs from text prompts or uploaded photos alongside the release of its Images 2.6 model. The new feature allows users to adjust animation playback speed, edit individual frames, and share the creations.

  2. Worth knowing Quanta Magazine

    New Research Tests Whether AI Models Know Their Own Thoughts

    Testing whether AI models can accurately report on their own internal states is important for model interpretability, safety, and understanding the boundaries of machine cognition.

    Quanta Magazine explores new research investigating whether artificial intelligence models have the capacity for introspection, or awareness of their own internal thought processes. The piece connects this AI research to broader philosophical and psychological debates regarding consciousness and whether introspection is an illusion.

  3. Worth knowing OpenAI

    Daybreak Red is now available in AWS GovCloud (US-East)

    It expands the deployment of frontier, domain-specific AI models into restricted government cloud environments for critical cybersecurity tasks.

    OpenAI has launched Daybreak Red in AWS GovCloud (US-East) via Amazon Bedrock. The release provides approved customers with access to the GPT-5.6 Cyber model for authorized cybersecurity operations.

Yesterday

1 story
  1. Worth knowing Hacker News

    The Little Book of Generative AI Foundations: An Intuitive Mathematical Primer

    It offers researchers, students, and practitioners a structured, accessible reference for understanding the core mathematical derivations and relationships across modern generative AI architectures.

    Tianhua Chen has published a 195-page preprint book titled "The Little Book of Generative AI Foundations: An Intuitive Mathematical Primer" on arXiv. The primer provides a derivation-oriented introduction connecting the mathematics of major generative model families, including variational autoencoders, diffusion models, normalizing flows, autoregressive models, GANs, and energy-based models.

Show everything