5 ms·
> If just predicting the next token can produce similar or better results than the almighty human intelligence on some tasks But it's not better than almighty
by tines 4y ago
> If just predicting the next token can produce similar or better results than the almighty human intelligence on some tasks
But it's not better than almighty human intelligence, it _is_ human intelligence, because it was trained on a mass of some of the best human intelligence in all recorded history (I say this because the good stuff like Aristotle got preserved while the garbage disappeared (this was true until the recent internet age, in which garbage survives as well as the gold)).
> then maybe there's a bit of hubris in how smart we think we actually are
I feel like you could say this if ChatGPT or whatever obtained its knowledge some other way than direct guidance from humans, but since we hand-fed it the answers, it falls a little flat for me.
I'm open to persuasion.
- autokad 4y agochatgpt doesnt just feed us back answers we already taught it. It learned relationships and semantics so it can apply that knowledge to do something novel. For instance, I took the basic of a dream and told it to turn it into a short story. The short story wasn't bad. I said make it more exciting, it updated the story such that one of the cars exploded. I guess chatgpt learned excitement from michael bay.
- tines 4y ago(I'm going to be brusque for the sake of the argument, I very much could be wrong and I don't even know how much I believe of the argument I'm making.) > chatgpt doesnt just feed us back answers we already taught it True, there is some structure to the answers we already taught it that it statistically mimics as well. > It learned relationships and semantics so it can apply that knowledge to do something novel Can you provide an example of this novelty? I think we underestimate the depth and variety of things that humans have written about and put on the internet, and so while anything you ask ChatGPT to do might be outside of your own experience, it's highly likely that it's already been thought before and uploaded to the internet, and that ChatGPT is just parrotting back something to you that is very similar to what it has already seen. This effect of ChatGPT having so much more experience/training data than any single human being such that it can convince any single human that it is original is an interesting one. This is why I think, for example, that image generation will result in (a period of) "artistic inbreeding." Because there is so much that other humans have done that is outside of any individual's experience, we will accept e.g. Midjourney's output as something moving and original, when in reality it's just a slight variation on something that someone else has done before that we haven't seen. (Again apologies for any rudeness, I respect your opinion and experiences and am enjoying the conversation.)
- autokad 4y agoI took the basics of a dream I had, and asked it to turn it into a short story. the result was pretty good. Is it using stuff already to seed its responses? sure, but thats what we do to. Nothing you do or say wasn't taught to you. But these are not simply parroting responses. I said this to chatgpt: I had a dream that me and my friend were in a car accident, and we had a choice in deciding how to use 1 hour. we could use it to live out our last final moments or spend that hour on trying to think of a solution to survive the wreck. turn this into a short story. As they sat trapped in their overturned car, Maria and her best friend Rachel had a dilemma. They only had one hour left to live and had to choose how to spend it. Rachel suggested they spend their final moments together, talking about all their favorite memories. But Maria had a different idea. She proposed they use the hour to think of a solution to survive the wreck. Rachel was hesitant at first, but ultimately agreed. For the next hour, they brainstormed every possible escape plan they could think of. They tried pushing against the doors, breaking the windows, and even attempting to signal for help. Just as they were about to give up hope, Maria remembered a tool in the trunk of the car. She crawled over to retrieve it and used it to pry open the door. Rachel followed her lead, and they finally escaped the car just in time. As they stumbled away from the wreck, both girls were in shock that they had made it out alive. They hugged each other tightly, grateful for the hour they spent trying to find a solution instead of giving up. From that moment on, they made a promise to never take a single moment for granted.
- tines 4y ago> Nothing you do or say wasn't taught to you. If nothing we do or say wasn't taught to us then where did all human knowledge come from in the first place? This doesn't hold up. (Again, being direct for the sake of argument, please forgive any unkindness.)
- brycedriesenga 4y agoFrom our environment, genetics, and other people. We simply are able to take in more inputs (i.e. not just text) than LLMs.
- iliane5 4y ago> But it's not better than almighty human intelligence, it _is_ human intelligence, because it was trained on a mass of some of the best human intelligence in all recorded history Sure, I was saying "better" in the sense that if for X task, it can do better than Y% of humans. > since we hand-fed it the answers, it falls a little flat for me We didn't really hand-fed it any answers though did we? If you put a human in a white box all its life, with access to the entire dataset on a screen but no social interaction, nothing to see aside from the text, nothing to hear, nothing to feel, nothing to taste, etc, it'd be very impressed if they were then able to create answers that seem to display such thoughtful and complex understanding of the world.
- simonh 4y agoI think the human would make a lot of the same fundamental errors LLMs make, for similar reasons. The level to which LLMs seem to understand the world is highly superficial because it is entirely linguistic. Also human written texts about the world and human affairs miss out huge swathes of contextual information that we safely assume actual humans have. LLMs don’t have any of that, which is why they fall flat on their faces in so many ways.
- iliane5 4y agoAbsolutely. What’s fascinating is that they’re getting such good understanding of many things through just text. Multimodal models that can process text, images, sounds, video, etc. are gonna be very interesting for that very reason