Earlier quoted context omitted.
Counting letters is such a dull test. LLMs generally have a hard time with this question because letters are tokenized before they receive them, and they have to go through an involved reasoning process to figure it out. It's like asking a color blind person what color the street light is, and declaring him unintelligent because he sometimes gets the answer wrong.
I mean, if you don’t want to include tests that LLMs are, by definition, bad at, why don’t we do the same thing for humans?
AGI is Mathematically Impossible 2: When Entropy Returns
431–437 of 437 posts
Re: AGI is Mathematically Impossible 2: When Entropy Returns
#432Earlier quoted context omitted.
Clearly possible in humans - the statement in the parent I was replying to. I would indeed definitely like to see proof - mathematical or applied - of in silico intelligence
Do you expect silicon to be less capable of the necessary computation than cells?
Re: AGI is Mathematically Impossible 2: When Entropy Returns
#433Re: AGI is Mathematically Impossible 2: When Entropy Returns
#434Earlier quoted context omitted.
Do you expect silicon to be less capable of the necessary computation than cells?
At best, I'm asking for a clear scientific definition of intelligence. At worst I'm questioning its very existence .
The definition of "intelligence" that he works with comes from William James: the ability to achieve the same goal by different means. It's a useful definition, given the remarkable stuff coming out of his lab.
Re: AGI is Mathematically Impossible 2: When Entropy Returns
#435Earlier quoted context omitted.
Truthfully, few people know that right now! They're backfeeding what it's "learning" along the way - whether it's in a smart fashion, we don't know yet.
It’s the whole “MCP” moto right? Basically keep re-feeding in each subsequent prompts the additional requested context?
MCP seems to be the idea to expose literally any data source to AI agents as context. E.g, in work/business context: a database, source code, a kanban board; in private context: your photo library, notes, etc. This is good and makes sense.
As a technical "standard" or "protocol" (as it claims to be), it's a total mess, read more here: https://modelcontextprotocol.io. Though I guess they are inventing it as they go.
Re: AGI is Mathematically Impossible 2: When Entropy Returns
#436Earlier quoted context omitted.
Human minds are fairly free to believe untruths. At least to a certain extent: it's rather hard to _really_ believe things that contradict your lived experience. You can _say_ that you believe them, but you won't behave as if you believe them.
Yeah, that's fair, I phrased that part wrong. The problem with Boltzmann brains is that, by construction, they're going to have incorrect beliefs about almost everything . Like, imagine watching a TV tuned to a dead station and somehow the random background noise looked and sounded like someone telling you the history of the world, and it really was just random noise doing this — that level of being wrong about almos…
Re: AGI is Mathematically Impossible 2: When Entropy Returns
#437Earlier quoted context omitted.
I'm not going to waste my time clicking a second video link but if Gemini can be believed he said "we don't know exactly how they work" which somehow became "We don’t even know how LLMs work. " In your retelling, an exaggeration which rightfully led to pushback. Aside from that I don't know what conversation you think we are having.
Yeah let’s not talk at all. You’re wasting both your own time and my time by responding to me without clicking on my links and trying to understand what I say. Just leave. Don’t bother communicating with me again.