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I didn't say it's not a probabilistic word generator. I'll quote more of what I wrote: >There are clearly different angles of interpreting what these models ar
by kilgnad 4y ago
I didn't say it's not a probabilistic word generator. I'll quote more of what I wrote:
>There are clearly different angles of interpreting what these models are actually doing but people are stubbornly refusing to believe it's anything more then just statistical word jumbles.
So CLEARLY because I said there are different angles of interpretation I'm implying that from one of these angles we can interpret it as a statistical word generator.
I mean from one perspective you and I are both statistical word generators too.
- vore 4y agoI mean, that is the fundamental architecture of the model and how it's explicitly designed: given an input embedding and output embedding, the model is trained over a massive corpus of text to optimize the probability for generating the next token in the sequence. Any other interpretation is secondary to that, no matter how impressive the results are.
- kilgnad 4y agoThere is no rule that implies the explicit design dominates the emergent effect. Evolutionary biology strives to make us logical creatures to fulfill the singular goal of passing on genetic material. Your sentience and your humanity is a side effect of this singular goal. So what dominates the description of who YOU are? Human or vessel for genetic material? I'll say that YOU are human and therefore more then just a vessel for ferreting your genetic material into the future... just like how I'll go with the fact that LLMs are more then just statistical word generators.
- vore 4y agoThey really aren't more than just statistical word generators because we can and do build what are exactly statistical word generators and get the behavior of ChatGPT (because that is what ChatGPT is). For what it's worth, this isn't a knock on ChatGPT, but more just how amazing how far you can get with straightforward concepts.
- dnaddie 4y agoExcept the paper in the OPs comment literally talks about how these LLM's are building actual models of the real world. No need to be worried about knocking chatGPT. I have no pride invested in the thing. But I do think that people who view it solely as statistical word generators are biased.
- westoncb 4y agoIt's also a specific choice of label though, and one which in the context of current discourse favors a particular side. It's like insisting on calling anything physical "atom collections". Yes, we get it, it's true (under a certain interpretation)—but it's clearly pointless to say except as an attempt at devaluing through reduction. (And it takes a particular stance on what it means to "be" something: to say it's literally the truth that anything physical is "just atoms" isn't the only way of looking at it.) There were things we could've called "statistical word generators" decades ago; insisting on using a term directed at that level of generality implies a belief that nothing significant has happened since. Printing press? Just atoms. Cars? Just atoms. Computers? Just atoms.
- funcantor 4y agoI think its because it's sort of gone in the opposite way that science usually goes. Science traditionally been the process of physical phenomena that we don't understand => falsifiable theory that helps describe that phenomena. Meanwhile, we started at stuff like the perceptron. The starting point was that we knew everything about that equation/classifier. Now we have a thing that we built from the ground up, and we don't fully grasp how it all comes together.
- kqr 4y ago> insisting on using a term directed at that level of generality implies a belief that nothing significant has happened since. Printing press? Just atoms. Cars? Just atoms. Computers? Just atoms. It's very context-dependent but I don't read this as dismissive reduction, I read it as a statement of the incredible generalisability of atoms under the current laws of physics.
- bhawks 4y ago> Evolutionary biology strives to make us logical creatures to fulfill the singular goal of passing on genetic material. Your sentience and your humanity is a side effect of this singular goal. Evolutionary biology is the study of processes that have created widely diverse forms of life on earth through common ancestry. This is actually strictly at odds with the statement that the goal of life is to pass on genetic material (which has changed monumentally over time). Different forms of life have wildly different reproduction strategies with many different dimensions. Logic has practically no impact on an organism's ability to reproduce (it seems limited to a small subset of the animal kingdom - every one else is doing fine without it). Evolutionary biology has no goals - it's just our observations of how and when (not why) life on earth has changed over time and through the lens of biodiversity. Tl/Dr: there is no scientific answer about what the goals of life are - heck the definition of life itself is a fun debate. It is a difficult argument to make that a path to general intelligence or consciousness runs thru predicting the next word in a sentence. Generally most people 'believe' it rather than put forth experimental hypothesis let alone attempt to test it. Until someone does it seems more likely that we're simply uncovering interesting statistical structures underpinning written languages. It's cool that they exist, but frankly it's not surprising that they would.
- kilgnad 4y agoME: What is the goal of a biological organism in the context of evolutionary biology? chatGPT: From an evolutionary biology perspective, the goal of a biological organism is not to achieve any particular objective or purpose, but rather to survive and reproduce successfully. Evolutionary theory suggests that organisms that are better adapted to their environment are more likely to survive and pass on their genes to the next generation, which leads to the evolution of new species over time. Therefore, the ultimate goal of any biological organism, whether it is a single-celled organism or a complex animal, is to survive long enough to reproduce and pass on its genetic material to the next generation. Organisms that are better suited to their environment, that are able to acquire resources more efficiently, and that can avoid predators and other threats are more likely to achieve this goal and contribute to the ongoing process of evolution. ME: What is the physical evidence that suggests to scientists that this is the case? chatGPT: There is a wealth of physical evidence that supports the idea that the ultimate goal of biological organisms is to survive and reproduce. Here are a few examples: Fossil record: The fossil record provides evidence that species have evolved over time, with many species going extinct and new ones emerging. Fossils also reveal adaptations that allowed species to better survive and reproduce in their environments, such as the development of wings in birds and insects or the evolution of specialized teeth and jaws in carnivorous animals. Comparative anatomy: Comparative anatomy allows scientists to study the physical structures of different organisms and identify similarities and differences. These similarities and differences can provide insights into how different species have evolved and adapted to their environments. For example, the similarities in the skeletal structures of mammals suggest that they share a common ancestor, while the differences in the beaks of finches on the Galapagos Islands suggest that they have adapted to different food sources. Genetics: Genetic evidence provides insights into how organisms have evolved and adapted over time. By comparing the genetic sequences of different species, scientists can identify similarities and differences that provide clues to how species are related and how they have evolved. Genetic evidence also reveals the adaptations that have allowed species to survive and reproduce in their environments, such as the evolution of antibiotic resistance in bacteria. Overall, the physical evidence from fields such as paleontology, comparative anatomy, and genetics supports the idea that the ultimate goal of biological organisms is to survive and reproduce successfully, and that this goal has driven the evolution of new species over time.
- pmoriarty 4y ago> Evolutionary biology strives to make us logical creatures to fulfill the singular goal of passing on genetic material. There is no evidence that "evolutionary biology" has any goals whatsoever, nor that it "strives" to do anything. This is an anthropomorphism.
- Rury 4y agoHow is this significant? I mean you can view a moving car as stationary, and reality is the thing that moves around it, or you can view reality as stationary, but the car moves through it. Or you can make analogies between electricity and water. (Frankly, I like viewing neural nets as a numerical method for doing nonlinear multivariate regression, and ChatGPT is nothing but a resulting equation(s) of such). In the end, regardless of how you choose to perceive it, the result is the same, so what's your point? It sounds like you just don't like viewing it as simply "a probabilistic word generator", as that takes the magic out of it. And yeah, it's not magic, but it is quite useful.
- kilgnad 4y agoWell you're just a jumble of electrons and protons interacting with each other. That's a 100% true interpretation is it not? It's also a view that misses the point that you are a molecular intelligence made of DNA that continually mutates and reconstructs it's physical form with generational copies to increase fitness in an ever changing environment. But that viewpoint also misses the point that you're a human with wants, needs, desires and capability of understanding the world around you. All viewpoints are valid. But Depending on the context one viewpoint is more valid then others. For example, in my day to day life do I go around treating everyone as if they're useless jumbles of molecules and atoms? Do I treat them like biological natural selection entities? Or do I treat them like humans? What I'm complaining about is the fact that a lot of people are taking the most simplest viewpoint when looking at these LLMs. They ARE MORE then statistical word generators and it's OBVIOUS this is the case when you talk to it in-depth. Why are people denying the obvious? Why are people choosing not to look at LLMs for what they are? Because of fear. Because of bias.
- Rury 4y agoI still don't see your point behind your first 4 paragraphs. How you decide to treat your fellow humans is up to you. Just as you can decide to view your fellow humans however you want. It's entirely possible to treat them like "humans" while still viewing them as nothing but jumbles of molecules and atoms. So again why does perspective matter here (particularly with ChatGPT being a statistical word generator)? Your last paragraph lacks proof, and is a reflection of how you feel and want to view it - as something more than a statistical word generator. That's fine, but people with graduate level math/statistics education know that math/statistics is capable of doing everything ChatGPT does (and even more). To me, it sounds like you're the fearful one.