The killer app of Gemini Pro 1.5 is using video as an input (simonwillison.net)

Article summary

The article discusses the capabilities of Gemini Pro 1.5, a recent upgrade to Google's Gemini series of AI models, which can process video as input and extract structured content from it. The author experimented with uploading videos of bookshelves and received JSON arrays of book titles and authors in response. The model's ability to analyze video and extract information from it is seen as a powerful feature. The article also touches on the limitations and challenges of using this technology, such as safety filters and potential hallucinations.

Main themes

• AI video analysis
• Gemini Pro 1.5 capabilities
• structured content extraction
• video processing optimizations
• audio input limitations
• potential applications
• accessibility and availability
• training data advantages

What commenters say

• The model processes videos by breaking them down into individual frames, which are then analyzed separately.
• The efficiency of processing videos is likely due to optimizations leveraging video compression.
• The ability to handle video inputs is a significant advantage over other models, such as GPT-4V.
• The lack of support for audio inputs is seen as a limitation of the current implementation.
• The potential applications of this technology are vast, including universal object recognition and sorting.
• The availability and accessibility of the technology are limited, with some users unable to access it due to regional restrictions.
• The use of video content from YouTube as training data may give Google a significant advantage over other companies.
• The model's performance is impressive, but it can still make mistakes and hallucinate incorrect information.