How AI use erodes skills in the subject AI is being used to assist in. This is a 100% occurrence, and has been demonstrated across all industries from software developers to radiologists. Most experience a 10-20% erosion in their skill set within the first 12 months of AI use, but others in the study groups have seen up to a 40% erosion in their skill sets.
How AI use shuts down critical thinking, and makes users more stupid. This is a 100% occurrence, and has been clearly demonstrated by MRI scans of the prefrontal cortex while users are actively using AI.
How AI use makes the user slower. This is the only user point that is not 100%, as only less than 2% of the most senior and skilled users show a slight increase in work completed… after more than 12 months of using AI. Projections have been made on the other 98%, and over 90% of them will never work faster with AI than without it, regardless of training or experience.
The gratuitous hallucinations, which are only increasing in scope and severity with every AI generation. It arises entirely from the constraints the AI are rewarded with - providing no answer is weighted just as negatively as a wrong answer - and anywhere from 60-80% of all responses are hallucinatory or incorrect in some fashion, depending on the current model.
In prior generations, any industry with such performance would be laughed clear out of the boardroom.
But because capitalism is desperately seeking a solution to what they perceive as a problem - how to obtain labour without having to pay said labour - AI is being adopted hand-over-fist.
After all, the underlying purpose of AI is to allow wealth to access skill while removing from the skilled the ability to access wealth.
My aunt is into tech like me. She dived head first into the AI in the middle of the hype instead of during IoT era when machine learning (the foundation of GPT models) was part of a larger SDK for building smaller tasks. Now she won’t stop pushing it onto my mom like a salesman by saying she should do this and that with ChatGPT or whatever, and it’s so freakin’ annoying.
Luckily, I’ve told my mom straight up to not buy into it.
All this you listed is the reason why we are fucked if we keep depending more and more on “this” AI and don’t get a revolution in the AI field to replace the current one with AGI. Because in ten years we risk losing a big chunk of expertise and if we don’t have an AI that can really replace the current one with something that can actually replace experts then there will huge infrastructure problems across multiple industries.
To me it is four things in particular:
In prior generations, any industry with such performance would be laughed clear out of the boardroom.
But because capitalism is desperately seeking a solution to what they perceive as a problem - how to obtain labour without having to pay said labour - AI is being adopted hand-over-fist.
After all, the underlying purpose of AI is to allow wealth to access skill while removing from the skilled the ability to access wealth.
Ugh… Minor rant.
My aunt is into tech like me. She dived head first into the AI in the middle of the hype instead of during IoT era when machine learning (the foundation of GPT models) was part of a larger SDK for building smaller tasks. Now she won’t stop pushing it onto my mom like a salesman by saying she should do this and that with ChatGPT or whatever, and it’s so freakin’ annoying.
Luckily, I’ve told my mom straight up to not buy into it.
Huh. Never noticed the MLM parallels of the current AI hype so much before. Literally levenschtein distance of one, should’ve spotted it.
Do you have references for these claims? I believe you, but I’d like to know more.
All this you listed is the reason why we are fucked if we keep depending more and more on “this” AI and don’t get a revolution in the AI field to replace the current one with AGI. Because in ten years we risk losing a big chunk of expertise and if we don’t have an AI that can really replace the current one with something that can actually replace experts then there will huge infrastructure problems across multiple industries.