You’re wandering into one of the great questions of our age: what is intelligence? I don’t have a great answer. All I know is that gpt-4 can REASON, and does so better than the average human.
It’s gpt-4 self-aware? Yes. To an extent. It knows what it is, and can use that information in its reasoning. It knows it’s an LLM, but not which model.
Can it make judgement calls? Yes. Better than the average human.
Understand meaning? Absolutely. To a jaw-dropping extent.
Accuracy and correctness… Depends on the type of question.
What you need to understand is that gpt-4 isn’t a whole brain. Think of it as if we have managed to reproduce the language center of the brain. I believe this is mechanism for higher reasoning in the human brain.
But just as in humans with right-brain injuries, the language center is disconnected from reality at times.
So, when you think about gpt-4 as the most important, difficult to solve part of the brain, you start to understand that with some minimal supporting infrastructure, you now have something very similar to a complete brain.
You can use vector databases to give it long-term memory, and any kind of data retrieval used to augment it’s prompts improved accuracy and reduces hallucinations almost entirely.
With my very mediocre programming skills, I managed to build a system that is curious, has a long-term memory, and do a wide variety of tasks, enough to easily replace an entire customer service, tech support team, sales team, and marketing team.
That’s just ME, and working with the gpt-4 that’s available to the public with a bunch of guardrails on it. Today.
Imagine a less-restricted system, with infrastructure built by an experienced enterprise coding team, and with just one more generation of LLM improvement? That could wipe out half the white collar workforce.
If LLM improvement was only geometric, and not even exponential (as it clearly is), in 10 years these things will be smarter AND MORE CREATIVE than all humans.
The truth is that we’re going to be there in 5 years.