You are ignoring ALL of the of the positive applications of AI from several decades of development, and only focusing on the negative aspects of generative AI.
Here is a non-exhaustive list of some applications:
In healthcare as a tool for earlier detection and prevention of certain diseases
For anomaly detection in intrusion detection system, protecting web servers
Disaster relief for identifying the affected areas and aiding in planning the rescue effort
Fall detection in e.g. phones and smartwatches that can alert medical services, especially useful for the elderly.
Various forecasting applications that can help plan e.g. production to reduce waste.
Etc…
There have even been a lot of good applications of generative AI, e.g. in production, especially for construction, where a generative AI can the functionally same product but with less material, while still maintaining the strength. This reduces cost of manufacturing, and also the environmental impact due to the reduced material usage.
Does AI have its problems? Sure. Is generative AI being misused and abused? Definitely. But just because some applications are useless it doesn’t mean that the whole field is.
A hammer can be used to murder someone, that does not mean that all hammers are murder weapons.
He’s already given you 5 examples of positive impact. You’re just moving the goalposts now.
I’m happy to bash morons who abuse generative AIs in bad applications and I can acknowledge that LLM-fuelled misinformation is a problem, but don’t lump “all AI” together and then deny the very obvious positive impact other applications have had (e.g. in healthcare).
generative AI is the only “AI”. everything that came before that was a thought experiment based on the human perception of a neural network. it’d be like calling a first draft a finished book.
You clearly don’t know much about the field. Generative AI is the new thing that people are going crazy over, and yes it is pretty cool. But it’s built on research into other types of AI-- classifiers being a big one-- that still exist in their own distinct form and are not simply a draft of ChatGPT. In fact, I believe classification is one of the most immediately useful tasks that you can train an AI for. You were given several examples of this in an earlier comment.
Fundamentally, AI is a way to process fuzzy data. It’s an alternative to traditional algorithms, where you need a hard answer with a fairly high confidence but have no concrete rules for determining the answer. It analyzes patterns and predicts what the answer will be. For patterns that have fuzzy inputs but answers that are relatively unambiguous, this allows us to tackle an entire class of computational problems which were previously impossible. To summarize, and at risk of sounding buzzwordy, it lets computers think more like humans. And no, for the record, it has nothing to do with crypto.
Nobody here will give you peer-reviewed articles because it’s clear that your position is overconfident for your subject knowledge, so the likelihood a valid response will change your mind is very small, so it’s not worth the effort. That includes me, sorry. I can explain in more detail how non-generative AI works if you’d like to know more.
You are ignoring ALL of the of the positive applications of AI from several decades of development, and only focusing on the negative aspects of generative AI.
Here is a non-exhaustive list of some applications:
There have even been a lot of good applications of generative AI, e.g. in production, especially for construction, where a generative AI can the functionally same product but with less material, while still maintaining the strength. This reduces cost of manufacturing, and also the environmental impact due to the reduced material usage.
Does AI have its problems? Sure. Is generative AI being misused and abused? Definitely. But just because some applications are useless it doesn’t mean that the whole field is.
A hammer can be used to murder someone, that does not mean that all hammers are murder weapons.
Imaginary and unproven cases without any apparent “intelligence”.
Seriously… Fall detection? It’s like 3 lines of code… Disaster relief? Show me any actual evidence of “AI” being used…
These are not imaginary uses cases. Are you generally critical of technology?
deleted by creator
He’s already given you 5 examples of positive impact. You’re just moving the goalposts now.
I’m happy to bash morons who abuse generative AIs in bad applications and I can acknowledge that LLM-fuelled misinformation is a problem, but don’t lump “all AI” together and then deny the very obvious positive impact other applications have had (e.g. in healthcare).
deleted by creator
You clearly don’t know much about the field. Generative AI is the new thing that people are going crazy over, and yes it is pretty cool. But it’s built on research into other types of AI-- classifiers being a big one-- that still exist in their own distinct form and are not simply a draft of ChatGPT. In fact, I believe classification is one of the most immediately useful tasks that you can train an AI for. You were given several examples of this in an earlier comment.
Fundamentally, AI is a way to process fuzzy data. It’s an alternative to traditional algorithms, where you need a hard answer with a fairly high confidence but have no concrete rules for determining the answer. It analyzes patterns and predicts what the answer will be. For patterns that have fuzzy inputs but answers that are relatively unambiguous, this allows us to tackle an entire class of computational problems which were previously impossible. To summarize, and at risk of sounding buzzwordy, it lets computers think more like humans. And no, for the record, it has nothing to do with crypto.
Nobody here will give you peer-reviewed articles because it’s clear that your position is overconfident for your subject knowledge, so the likelihood a valid response will change your mind is very small, so it’s not worth the effort. That includes me, sorry. I can explain in more detail how non-generative AI works if you’d like to know more.
deleted by creator