In a way he’s right, but it depends! If you take even a common example like Chat GPT or the native object detection used in iPhone cameras, you’d see that there’s a lot of cool stuff already enabled by our current way of building these tools. The limitation right now, I think, is reacting to new information or scenarios which a model isn’t trained on, which is where all the current systems break. Humans do well in new scenarios based on their cognitive flexibility, and at least I am unaware of a good framework for instilling cognitive flexibility in machines.
In a way he’s right, but it depends! If you take even a common example like Chat GPT or the native object detection used in iPhone cameras, you’d see that there’s a lot of cool stuff already enabled by our current way of building these tools. The limitation right now, I think, is reacting to new information or scenarios which a model isn’t trained on, which is where all the current systems break. Humans do well in new scenarios based on their cognitive flexibility, and at least I am unaware of a good framework for instilling cognitive flexibility in machines.