Do LLMS think? Of course they do. But thinking =/= intelligence.
Its pretty easy to define what an AI actually would look like:
A human coder sits down and writes an algorithm. In that algorithm, there is no reference to any specific piece of information on ANYTHING (including human words), whether its manually written in code or derived through training a neural net on that information and the code is just a bunch of matrix multiplies.
The algorithm has 2 interfaces - a terminal for a human to interact with, and an api to a tcp socket over which it can communicate to the world wide web.
A human could give this algorithm an instruction, like for example, "Design and build me a flying car and put it in my driveway and do not spend a single cent of my money, and do everything legally".
Provided there are no limits on communication that would result in the algorithm being perma banned of the internet, the algorithm prior to even tackling the task at hand will have to do the following at the least:
- figure out how to properly structure HTTP communication to be able to talk to servers, and essentially build an internal API.
- figure out what the words you typed mean - i.e map them to information collected from the web and
- start running internal simulations to figure out what the best course of action is
- figure out how to deal with ambiguity and ask you questions (like "how far do you want to fly"), and figure out how to deal with dead ends.
- start executing actions with preplanned risk (figuring out what risk is in the process) and learn from mistakes.
And that's just the short start.
But the key factor is that this same process that it uses to figure basic functionality is the same process (at least on the lowest level) that it would use to start designing a flying car once it has all the information it needs to "understand" the task.
And there isn't anything even remotely close on the horizon with any of the current AI research that indicates that we have any idea what that process looks like. The only claims that we can make is that its definitely recursive, not fully forward like LLMs, and its essentially a search algorithm. But what its searching and what the guidance metric is for search direction is the mystery.
Do LLMS think? Of course they do. But thinking =/= intelligence.
Its pretty easy to define what an AI actually would look like:
A human coder sits down and writes an algorithm. In that algorithm, there is no reference to any specific piece of information on ANYTHING (including human words), whether its manually written in code or derived through training a neural net on that information and the code is just a bunch of matrix multiplies.
The algorithm has 2 interfaces - a terminal for a human to interact with, and an api to a tcp socket over which it can communicate to the world wide web.
A human could give this algorithm an instruction, like for example, "Design and build me a flying car and put it in my driveway and do not spend a single cent of my money, and do everything legally".
Provided there are no limits on communication that would result in the algorithm being perma banned of the internet, the algorithm prior to even tackling the task at hand will have to do the following at the least:
- figure out how to properly structure HTTP communication to be able to talk to servers, and essentially build an internal API.
- figure out what the words you typed mean - i.e map them to information collected from the web and
- start running internal simulations to figure out what the best course of action is
- figure out how to deal with ambiguity and ask you questions (like "how far do you want to fly"), and figure out how to deal with dead ends.
- start executing actions with preplanned risk (figuring out what risk is in the process) and learn from mistakes.
And that's just the short start.
But the key factor is that this same process that it uses to figure basic functionality is the same process (at least on the lowest level) that it would use to start designing a flying car once it has all the information it needs to "understand" the task.
And there isn't anything even remotely close on the horizon with any of the current AI research that indicates that we have any idea what that process looks like. The only claims that we can make is that its definitely recursive, not fully forward like LLMs, and its essentially a search algorithm. But what its searching and what the guidance metric is for search direction is the mystery.