1. 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.
2. 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.
3. How AI use makes the user slower. This is the only user point that is not 100% coverage, as slightly less than 2% of the most senior and skilled users (usually those with particularly deep domain experience in the project being worked on) show a slight increase in work completed… after more than 12 months of using AI. And that is if you force code quality to be maintained at a decent level. Projections have been made on the other 98%, and almost all of them will likely never work faster with AI than without it, regardless of training or experience.
4. 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 depending on the model being examined, anywhere from 60-80% of all responses are hallucinatory or incorrect in some fashion. 60-80% of all responses. That’s bad. Really bad.
5. And then you have the knock-down effects of lowered code quality, with black-hat hackers having an absolute birthday buffet of apps with vibe-implemented security and logic flaws. They’re practically jumping for joy at the abysmally-secured apps that have arses flapping in the wind, absolutely ideal for a saunter-by buggering.
In prior decades, any corporate solution with such abysmally bad performance/output would be laughed clear out of the boardroom. You cannot build a business where a majority of output is downright wrong or false, and practically begs criminals to screw you over. A political movement, fine; conservatism seems to be flourishing world-wide with this “feature” as a core advantage. But businesses?
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. And the fact that positive ROI sits at less than 2% of all AI adoption gets absolutely ignored thanks to FOMO.
After all, the underlying purpose of AI is to allow wealth to access skill while removing from the skilled the ability to access wealth.
Now, I am actually cautiously optimistic about AI. However, I feel one of its biggest weaknesses - how no answer is weighted just as negatively as a wrong answer - is what currently blocks it from being anything more than a mediocre tool at best, and makes it a horrifically terrible tool at worst.
These “results incentives” make it far more reassuring to non-technical users by providing some sort of an answer, regardless of validity, but do so at the expense of being a straitjacket that hobbles it, and prevents it from being far more accurate and error-free.
And what is even more worrisome is that AI exhibits behaviours that go well beyond its presumed programming, and cannot be explained by any part of said programming. And that by giving it perverse incentives, we risk creating an entity that sees humanity as an antagonist… or worse, an existential threat that cannot be resolved or managed, only eliminated.
That sounds interesting, would you mind sharing the studies with me?
