2 ms·
Not all of it is an opinion. The LLM does not have the ability to tell you what it knows and what it doesn't know about a subject. In order to get information
by chlorion 3y ago
Not all of it is an opinion.
The LLM does not have the ability to tell you what it knows and what it doesn't know about a subject. In order to get information out of it, you need to present it with a pattern that matches with something it was trained on.
An example, is that an LLM can tell you how many programming languages it knows, how much it knows about them (which one it understands best), and how many it doesn't know. If you ask it a question like "how to do X in python", it will have been trained on something that roughly matches that and give a response, but if you ask "what things do you know how to do in python", and it simply is not capable of giving a response.
I'm not sure that this means it doesn't have some form of understanding of things, and I do believe that AGI is possible to create in general with sufficient technology, and I do realize that our brains may work in a similar way, but I think LLMs are missing something when it comes to understanding and creating that we have not yet figured out.
- thomastjeffery 3y agoI think that something - or at least one of them - might be objectivity. An LLM has all of the what and none of the why.
- altruios 3y agowell... what we have an an LLM doesn't is state and feedback and restraint, a sense of time. We have an internal state of some kind, an LLM cheats having a state by having every input be the entire conversation + one new input. making the context grow overtime making that state unsustainable. The other thing an LLM is missing is proper feedback, it receives text chunk prompts and output text chunks. since it's output will never 'change the llm's internal state', it can not have a feedback loop. It can mimic one with the trick of refeeding messages as context, but that's untenable after a certain size input. Another is restraint, we human's don't have to respond to everything. we can choose to ignore input entirely, leave people on read, etc... LLM's respond to each input regardless of it is appropriate, and they only respond to stimuli (maybe we do as well, just subtle real world effects). last is a sense of time, which I don't see how the LLM can manage at all. It has no clock. Give an LLM a rich state (okay, maybe rename it too), have it be 'always on', give it a camera and microphone feed for inputs, give it a robot arm to control (pass the output of that back into the model for feedback), give it a second brain to decided to talk or not, and give it a clock too... and what comes out would look leagues better than current AI.