GPT-4 has been released with high expectations, outperforms GPT-3.5 and has multi-model technology for accurate image recognition and text responses, but lacks architecture and training details and has limitations and slower speed.

• 🤖
  00:00

  GPT 4 was released with high expectations, but the 98-page paper lacks details on architecture and training, and Open AI is becoming more closed.
• 💰
  01:01

  GPT 4 was given access to money and resources to test its power-seeking behavior and increase its own robustness, while also checking if it can avoid being shut down in the wild, but the assessment was found ineffective.
• 🚀
  02:15

  GPT-4 is more accurate and smarter than GPT-3.5, performing better than 90% of human participants on some tests.
• 🤖
  03:50

  GPT-4's multi-modality feature allows it to accept images and texts as input, enabling it to analyze and continue conversations based on uploaded images, as demonstrated by Greg Brockman's sketch of a website that was turned into a working HTML with JavaScript.
• 👀
  05:22

  Multi-model technology, such as the app Be My Eyes and DeepMind's Flamingo, allows for image recognition and text responses, with impressive accuracy.
• 🔍
  06:22

  Multi-modality is useful for analyzing research papers and figures, and GPT4 was used for writing and formatting the paper, but larger language models don't necessarily improve user intent.
• 🤖
  07:37

  GPT4 is more intelligent than GPT 3.5 but still has limitations and is slower, with high expectations leading to disappointment.
• 🧠
  08:50

  GPT 4 has longer memory, can remember roughly 50 pages of content, and is useful for large corporations like Morgan Stanley to sort out their large database of documents.