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Comment by lewispollard

8 hours ago

The point is that you don't need an LLM to pilot the thing, even if you want to integrate an LLM interface to take a request in natural language.

An LLM that can't understand the environment properly can't properly reason about which command to give in response to a user's request. Even if the LLM is a very inefficient way to pilot the thing, being able to pilot means the LLM has the reasoning abilities required to also translate a user's request into commands that make sense for the more efficient, lower-level piloting subsystem.

That’s a pretty boring point for what looks like a fun project. Happy to see this project and know I am not the only one thinking about these kinds of applications.

We don't need a lot of things, but new tech should also address what people want, not just needs. I don't know how to pilot drones, nor do I care to learn how to, but I want to do things with drones, does that qualify as a need? Tech is there to do things for us we're too lazy to do.

  • There are two different things:

    1. a drone that you can talk to and fly on its own

    2. a drone where the flying is controlled by an LLM

    (2) is a specific instance of the larger concept of (1).

    You make an argument that 1 should be addressed, which no one is denying in this thread - people are arguing that (2) is a bad way to do (1).

    • You're considering "talking to" a separate thing, I consider it the same as reading street signs or using object recognition. My voice or text input is just one type of input. Can other ML solutions or algorithms detect a tree (same as me telling it there is a tree,yaw to the right), yes, can LLMs detect a tree and determine what course of action to take? also true. Which is better? I don't know, but I won't be quick to dismiss anyone attempting to use LLMs.

  • I don't think you understand what an "LLM" is. They're text generators. We've had autopilot since the 1930s that relies on measurable things... like PID loops, direct sensor input. You don't need the "language model" part to run an autopilot, that's just silly.

    • You see to be talking past him and ignoring what they are actually saying.

      LLMs are a higher level construct than PID loops. With things like autopilot I can give the controller a command like 'Go from A to B', and chain constructs like this to accomplish a task.

      With an LLM I can give the drone/LLM system complex command that I'd never be able to encode to a controller alone. "Fly a grid over my neighborhood, document the location of and take pictures of every flower garden".

      And if an LLM is just a 'text generator' then it's a pretty damned spectacular one as it can take free formed input and turn it into a set of useful commands.

      2 replies →

    • LLMs can do chat-completion, they don't do only chat completion. There are LLMs for image generation, voice generation, video generation and possibly more. The camera of a drone inputs images for the LLM, then it determines what action take based on that. Similar to if you asked ChatGPT "there is a tree in this picture, if you were operating a drone, what action would you take to avoid collision", except the "there is a tree" part is done by the LLMs image recognition, and the sys prompt is "recognize objects and avoid collision", of course I'm simplifying it a lot but it is essentially generating navigational directions under a visual context using image recognition.

    • My confusion maybe? Is this simulator just flying point a to b? Seems like it’s handling collisions while trying to locate the targets and identify them. That seems quite a bit more complex than what you are describing has been solved since the 1930s.

    • "You don't need the "language model" part to run an autopilot, that's just silly."

      I think most of us understood that reproducing what existing autopilot can do was not the goal. My inexpensive DJI quadcopter has an impressive abilities in this area as well. But, I cannot give it a mission in natural language and expect it to execute it. Not even close.