DeepMind’s cofounder: Generative AI is just a phase. What’s next is interactive AI.::DeepMind cofounder Mustafa Suleyman wants to build a chatbot that does a whole lot more than chat. In a recent conversation I had with him, he told me that generative AI is just a phase. What’s next is interactive AI: bots that can carry out tasks you set for them by calling on other software…
You don’t need a scientific genius to deduce that - even I did it! One of the most impressive things for me about ChatGPT has been the ability to “undestand” what you mean, properly communicate with you. For the time being it’s not hooked up to anything but it shouldn’t be too hard to make it translate our natural language requests (which it already “understands”) into software commands. The possibilities are endless.
If only it understood instead of “understood”
Meaning what? It needs Cartesian Dualist qualia floating around between its wires and transistors, or else it’s just a word vending machine? What’s the demonstrable test for understanding vs “understanding”?
I’m not saying I have a definition or way to get there, just that it actually hasn’t demonstrated that it actually understands (through the tasks where it fails)
I still don’t understand what you mean. If you don’t have a criterion for “actually” understanding, how has it demonstrably failed?
I don’t have an exact example for you to test it out so I’ll try to explain in general terms:
Let’s say you give a task to ChatGPT that a human can do easily but ChatGPT fails at it consistently, isn’t that proof that it doesn’t understand.
It might be hard to grasp from this without example, but the problem with any example would be that OpenAI can become aware of a problem and tweak the algorithm to correct just that specific example.
One example I remembered while typing this is how it fails at giving you a list of words which fit a certain criteria like having a specific number of letters. This is not the best example I had come across in the past but it still seems to fail at this one.
Anyway, hopefully you got my point about lack of understanding.
Fair enough but it just seems like a fluffy distinction.
And I don’t think they “tweak the algorithm” so much as generate a load more training data of that one specific task to get it up to spec.
In any case, humans make mistakes on lots of stuff too, so if the criterion for “true” understanding is to make no mistakes then humans cannot be said to understand either.
As I said, my example wasn’t the best one, but you’re right that based on it humans can be judged badly too
Langchain
That’s just a toolbox and in my experience a pretty limited one as well. What OP means is that Gen AI doesn’t connect to your Emails, Photoshop, your IDE, your browser, and what not with text or speech.
Imagine not using your keyboard and mouse anymore, but only using your speech and natural language for everything (not commands, but natural language).
Confidently interfacing with smart glasses would be a game changer for so many things.
computer, make me a sandwich