I know the comic is just making a joke, but in a more designed based focus derived off of sci-fi? To give the simulated consciousness pleasure from achieving whatever goal it was designed to do.
I am against the current “AI” because of the resource cost of usage on a massive scale. We have yet to solve the problem of working together as a species, and we are dumping immense amounts of resources into a faulty product that is not even intelligent. The primary goal currently is to further automate jobs to increase profit margins.
I think the only area where machine learning has made actual accomplishments is in research.
If you use speech recognition or optical character recognition, to grab two examples, you’re using software that generally has involved machine learning. Those are both fields that I’d call successful for quite some years and are applied to areas outside of research.
Thanks for the addition! I added that last bit because I did not want to discount the areas where machine learning has had actual success, but I haven’t dug too deep into it.
![Emergent behavior [Super-Fun-Pak Comix]](https://lemmy.sdf.org/pictrs/image/5a4afab0-9e5a-464c-8abb-0e1b522f9a8f.png){kind=link}
I know the comic is just making a joke, but in a more designed based focus derived off of sci-fi? To give the simulated consciousness pleasure from achieving whatever goal it was designed to do.
I am against the current “AI” because of the resource cost of usage on a massive scale. We have yet to solve the problem of working together as a species, and we are dumping immense amounts of resources into a faulty product that is not even intelligent. The primary goal currently is to further automate jobs to increase profit margins.
I think the only area where machine learning has made actual accomplishments is in research. https://vilmate.com/blog/nobel-prizes-2024-how-ai-transformed-scientific-achievement/
If you use speech recognition or optical character recognition, to grab two examples, you’re using software that generally has involved machine learning. Those are both fields that I’d call successful for quite some years and are applied to areas outside of research.
Thanks for the addition! I added that last bit because I did not want to discount the areas where machine learning has had actual success, but I haven’t dug too deep into it.