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Except, pigeons do have a mechanism (as do worms) that may confer intelligence.
by slashdave 2y ago
Except, pigeons do have a mechanism (as do worms) that may confer intelligence.
- Kuinox 2y agoYou avoided the questions as a whole. LLMs theorically can emulate any functions, so the mechanism is also here. If I understand correctly, you are saying that worms are smarter than LLMs ?
- slashdave 2y agoIntelligence is not a mathematical function
- Kuinox 2y agoWhat part of intelligence cannot be computed ? What part of the worm brain cannot be simulated ?
- stevenhuang 2y agoYeah at this point the guy is either trolling or very confused. It's some crazy stuff framing your personal opinion on a controversial subject like that as if it's an established fact when the subject itself is under active studied and hardly "solved".
- slashdave 2y agoThere are some big issues with the ML community today. One is brazen assumptions. If the subject is under study, why write your title and abstract in such a fashion that you assume that LLMs can "understand". That is the source of my original (fairly mild) objection. If the problem isn't "solved", why assume it is?
- stevenhuang 2y ago> Can Large Language Models Understand Symbolic Graphics Programs? The title is framed as a question. And even throughout the study, the authors are careful to refer to this apparent reasoning ability with the appropriate qualifiers. > To understand symbolic programs, LLMs may need to possess the ability to imagine how the corresponding graphics content would look without directly accessing the rendered visual content > We find that this task distinguishes existing LLMs and models considered good at reasoning perform better In short no such assumption is made. You are so overwhelmed by your personal biases you're not even comprehending what you're reading.
- slashdave 2y agoYou make an excellent point.
- slashdave 2y agoComputation cannot be reduce to a mere function. A NN is not a Turing device.
- Kuinox 2y agoA single invocation of an NN isn't turing complete, but as soon as you loop it, it is. https://en.wikipedia.org/wiki/Universal_approximation_theorem https://en.wikipedia.org/wiki/Universal_approximation_theore...
- slashdave 2y agoYeah, exactly. A network of NN functions is a model for AGI. My point is that to say that a NN can approximate a mathematical function is correct. But to now equate such a function to a generalized procedure (like a simulation of a brain) is a mistake.
- Kuinox 2y ago> But to now equate such a function to a generalized procedure You never said that. Are you saying only a brain can understand?