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Figure 01 robot demos its OpenAI integration

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Re: Figure 01 robot demos its OpenAI integration

#111

Post by bevekspldnw »

empath-nirvana wrote: post #109
razodactyl wrote: post #105

Earlier quoted context omitted.

I think the big deal here is that it's an end to end system. It's very easy to forget the single line hallucinations of GPT3 not too long ago. Look into providers like Groq that are running real-time inference with Transformer models. It's only a matter of models improving then the hardware coming to market that this will be a major leap in robotic capabilities.

I think it's always going to be the case that we'll get to AGI through a collection of neural networks and symbolic logic systems and not through just a single neural network. For some reason a lot of people think that's "cheating", though.

If this thing can clean my kitchen I’ll let it cheat all day.

Re: Figure 01 robot demos its OpenAI integration

#113

Post by trashtester »

empath-nirvana wrote: post #109
razodactyl wrote: post #105

Earlier quoted context omitted.

I think the big deal here is that it's an end to end system. It's very easy to forget the single line hallucinations of GPT3 not too long ago. Look into providers like Groq that are running real-time inference with Transformer models. It's only a matter of models improving then the hardware coming to market that this will be a major leap in robotic capabilities.

I think it's always going to be the case that we'll get to AGI through a collection of neural networks and symbolic logic systems and not through just a single neural network. For some reason a lot of people think that's "cheating", though.

The way I see it, a symbolic logic system is not an integral part to an AGI, but rather a tool that it can use the same way humans use tools.

Tools can be useful for many things, but tend to be inflexible compared to neural nets.

The way I see it, the main benefit of such tools come when the part covered by the tool is very repetitive and well defined. In such cases, algorithmic solutions may offer better precision and lower power consumption than neural nets.

Anyway, once most of these algorithms are actually WRITTEN by AGI's, the difference may cease to matter.

Re: Figure 01 robot demos its OpenAI integration

#114

Post by trashtester »

userabchn wrote: post #58

One of my colleagues predicted, when ChatGPT was first released, that AI would reduce the value of knowledge work relative to manual labour, but I disagreed as I think the main thing holding back robots from replacing many manual labour jobs at the moment is the difficulty communicating with them. I argued that ChatGPT indicated that we were not too far away from being able to tell a robot to pick the apples from a p…

When this is over, the relative value of manual labor to knowledge work will be 0:0.

Re: Figure 01 robot demos its OpenAI integration

#115

Post by joshstrange »

modeless wrote: post #13
eigenvalue wrote: post #11

This shows the real utility of the Groq low latency inference. That delay in responding makes it much less impressive (it’s still really impressive obviously!)

That delay will be eliminated very soon. IMO low latency natural voice conversations are going to be bigger than ChatGPT. It's going to blow people's minds when they can converse with these AIs casually just like with their real life friends. It won't be anything like Siri or Alexa anymore. Here's a demo from a startup in this space. Still very early. https://deck.sindarin.tech/

Heck “talking” to ChatGPT is already pretty freaking impressive but even faster responses (and handling interrupts) would make it even better.
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