avasan

3 ms·

1. 1.▲
   by avasan 1y ago

   That makes this all the more impressive!! What happens when you get an incorrect interpretation though? That is now in the "previous context bucket". Assuming the user addresses the issue through the LLM layer by talking to throug
2. 2.▲
   by avasan 1y ago

   If you don't start from a clean-slate, does the behavior change drastically? Does the interaction between the LLM layer and the MCP/ROS become more efficient if it already has some context? Would that be something you'd want
3. 3.▲
   by avasan 1y ago

   LLMs sometimes hallucinate while stating one thing and outputting disconnected commands/code on the back end in many superficial/general models (Claude included) - does the MCP try to correct/account for that? Or is user over
4. 4.▲
   by avasan 1y ago

   This looks like very exciting work! I'm curious - how much pre-context did you need to provide Claude to operate the industrial robot? That looks like a very complex environment.
5. 5.▲
   by avasan 1y ago

   Is the visual quality really boosted? It seems to give a very distinctive, almost uncanny-valley look to the video.
6. 6.▲
   by avasan 1y ago

   But the upscaling isn't applied live/on viewing, right? The video being upscaled is still stored on their server and then streamed. How does it reduce storage costs?