A searchable, timestamped index of 1,124 AI Engineer talks
Summaries and timestamps for every talk on the AI Engineer YouTube channel.
In plain words
This product provides searchable summaries and timestamps for over 1,100 talks from the AI Engineer YouTube channel. Users can quickly locate specific segments within longer videos using semantic search that understands full sentences rather than just keywords. It is designed for people who want to efficiently find relevant content within lengthy technical talks without watching entire videos. The index currently covers 1,138 talks and continues to grow.
written from the facts on this page · September 2026
From the sources
Find the ten minutes you need in a forty-minute talk. 1138 talks and counting. Searches talks and packs by meaning — full sentences work, not just a keyword. Olive Song presents MiniMax M3 as a model built for agents that need to retain long conversations, tool responses and information from complex environments. M3 has around 400 billion total parameters, 20 billion activated parameters, vision and video understanding, and... Jean-Denis Greze argues that agent-to-agent is a misleading way to frame the problem. The real task is search: before an agent responds or calls a tool, it needs the right information in its context window. The ideal system would give... Benjamin Guo presents Zo…from aietalks.com
Does the same job
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Hi there! When Supabase announced their recent hackathon, I thought it was a good time to build something to learn more about so many of the new AI models and tech out there. From the different techniques of embedding documents to the future RAG. With the rise of short form content with TikTok and Youtube. A lot more knowledge is in videos than ever before. Finding specific answers within millions of videos can be difficult for any one person to go through. So the question is if there is Google that indexes text on website making it easier to find based on the context of on your question,…


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Hello HN Over the New Year's break, I created semanticvideosearch.com. This can search any video based on meaning and context. I would love to get your feedback on it. What should I change and what can be improved? The preprocessed videos can be search very quickly, while the youtube video links take some time (yt videos also have a upper duration limit due to compute issues). I intend to add search based on the frames of the video soon. I would love to know your thoughts on the demo and any suggestions for improvements. Thanks! PS: the inspiration to create this was to get the 2 mins of…
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