There's always a new developer that can create a new app based on that. I'm sure someone will create something similar soon.

I've learnt a few bits of programming but could never find the plug or socket to connect it all.

> The reason we won't have access to this is

I think it's more about people don't have a place to create a room dedicated to medical procedures?

Yeah, perhaps, but eventually you'll be at cusp of that massive progression (in relative terms) where it isn't overstated or overestimated.

It might still be years away to reach the level of impact which OP described, but eventually it'll only be months away.

Lol, not months but weeks? ;-))

>Based on Arnold's response of "Great," it can be inferred that he is likely happy or excited about the new addition to his life. Wearing the shirt that says "I love dogs" every time he sees Emily suggests that he may have a positive affinity for dogs, which would likely contribute to his enthusiasm about the adoption. However, without more information or context, it's difficult to determine Arnold's exact feelings towards the dog with certainty. It's possible that he might be surprised or even overwhelmed by the news, but his brief response of "Great" suggests that he is, at the very least, accepting of the new addition to his life.

I used different names when I re-wrote the story.

Both and got pretty much the same response re-phrased.

Asked Chat-GPT about the "theory of mind" which it answered it has as it is critical to understanding writing.

chatGPT doesn't understand a thing it tells you right now, nor can it 'code in multiple languages'. It can however fake it very well. Give me an example of truly novel code that chatGPT wrote that is not some preprogrammed examples strung together in what seems like a unique way to you. I've tried quite a bit recently to test its limits with simple yet novel requests, and it stubs its toe or falls over nearly every time, basically returning a template, failing to answer the question correctly, or just dying in the middle of the response when given a detailed prompt, etc. It doesn't know 'how to code' other than basically slapping together code snippets from its training data, just like I can do by searching in google and copy pasting code from the top results from SO etc. There are still wrong answers at times.. proving it really doesn't know anything. Just because there appears to be some randomness to the answers it gives doesn't necessarily make it 'intelligence'. The LLM is not AGI that would be needed to actually learn and know how to program. It uses supervised learning (human curated), then reward based learning (also curated), then a self-generated PPO model (still based on human-trained reward models) to help reinforce the reward system with succinct policies. Its a very fancy chatbot, and fools a lot of people very well! We will have AGI eventually, its true, but this is not it yet and while it may seem pedantic because this is so exciting to many, there IS a difference.

I am curious how a deep learning system, while learning to perform prediction and classifation is any different than our own brains. It seems increasingly evident that while the goals used to guide training are different but the mechanisms of learning effectively the same. Of course there are differences in mechanism and complexity but what this last year is teaching us is the artificial deep learning systems work to do the same type of modeling we undergo when learning. Messy at first but definitely capable of learning and sophistication down the line. Linguists argue for genetically wired language rules but really this isn't needed - the system will figure out what it needs and create them like the good blank slates they are.

There are a lot of ChatGPT misconceptions going around. For example that it just blindly memorizes patterns. It is a deep learning system (very deep) that, if it helps with classification and prediction, ends up creating rather complex and functional models of how things work. These actually perform computation of a pretty sophisticated nature (any function can be modeled by a neural network). And this does include creativity and reasoning as the inputs flow into and through the system. Creativity as a phenomena might need a fitness function which scores creative solutions higher (be nice to model that one so the AI can score itself) and of course will take awhile to get down but not outside the capabilities of these types of systems.

Anyways, just wanted to chime in as this has been on my mind. I am still on the fence whether I believe any of this. The last point is that people criticize ChatGPT for giving incorrect answers but it is human nature to 'approximate' knowledge and thus incredibly messy. Partially why it takes so long.