I know these are figures of speech, but it reminds me that this thing doesn’t do anything, it doesn’t learn anything, it can’t try anything and find out. And yet it uses speech patterns drawn from real humans who can and do all those things.
I know these are figures of speech, but it reminds me that this thing doesn’t do anything, it doesn’t learn anything, it can’t try anything and find out. And yet it uses speech patterns drawn from real humans who can and do all those things.
They seem to be trying to pump up the "humanity" to keep people engaged with it, which really backfires with me.
The most likely explanation is that those patterns were common in the training data the LLM is mimicking.
Not only do these imply that the thing has a personality and preference, but also continuity and a life outside the chat window.
I had to add an explicit instruction not to impersonate a human, it was just too weird for me.
I think it was the Aliens universe where the Soviet megacorp makes the androids blue despite their being basically equivalent to humans
I have a viscerally negative reaction to a machine claiming it has a favorite anything.
Talk to an agent. It definitely learns things. Maybe not the taste of strawberry but about what is really going on in the software you are building with it.
By the very way this technology works they can't learn anything after training. What you think is "learning" it's just a session log written back to the context when you resume the session.
For a LLM learning what you wrote your last session would be update the weights with the new relationships and factual knowledge created in the session. That doesn't happen. The weights are static and fixed after training. There's no online training in the transformer architecture or any variant. If the weights don't update, the network doesn't learn. Period.
Also agentic systems may choose or be instructed to retain some information between sessions in files and/or databases which is also a form of learning.
There are experiments with retaining session information in weights in some form of lora but there's no consensus if it's even desirable. There's a value in being able to start from a clean slate.
In fact, I put a brick on the pedal and it went off and did a thing all by itself. Spooky.