The AI bubbles appears to be suddenly bursting after so much enthusiasm and billions of dollars in investment. The technology companies that were most heavily involved in the market crash next Monday, all of whom are deeply invested in AI, were the majority. The biggest fool was the famous chip business Nvidia, which, according to author Chis Taylor, “lost a trillion dollars of assessment, 30 % of the full, since its 2024 higher.
Taylor then goes on to explain the causes of this decline: increased buzz from AI experts like Sam Altman, stress from users who are now offended by products containing artificial intelligence, and anxious investors like Goldman Sachs who want a quicker return on their investment. But, like most balloons, AI businesses overpromised and underdelivered, causing the industry to appropriate itself.
Unfortunately, it does n’t end there. AI technologies appears to be working against a wall. As many people have pointed out, the AI data servers consume a lot of energy, putting a lot of pressure on electric grids. They furthermore require extremely massive amounts of money ( running in the billions of dollars ) and constant cash — for research, ChatGPT is estimated to cost OpenAI$ 700, 000 a day to perform.
Worse however, Taylor explains that Artificial programs” have run out of things to teach on, and the more they are trained on’ the net,’ the more the internet contains a body of work written by AI — degrading the item in question. A Large Language Model ( LLM) like ChatGPT could review the large volume of online human-made content and use that knowledge to create a unique essay that would adhere to the needs of its users. But now, there is so much AI-generated content online that any essay that the LLM produces will become increasingly derivative, defective, and incomprehensible. Garbage in, garbage out.
A profound collective misunderstood AI is at the root of all these issues. The issue is so obvious that it’s difficult to ignore, especially for Silicon Valley’s high-IQ geniuses: artificial intelligence is not human intelligence. Technologists have talked about AI too frequently as though it’s a synthetic brain that mimics the functions of human brains. As such, they describe computers learning, communicating, and performing administrative tasks as though they were conscious workers.
And, if one listens to Techno-Optimists like Marc Andreessen and Amjad Massad, AI can even do the work of life coaches and teachers. Andreessen predicted that” Every child will have an AI tutor that is infinitely patient, infinitely compassionate, infinitely knowledgeable, infinitely helpful. Every step of each child’s development will be monitored by the AI tutor, helping them use the machine-generated version of infinite love to reach their full potential. ” Both AI and humans understand one another and one another in a far greater way than humans understand them.
The misconception that human minds are just organic computers with deficient programming is a part of this misguided personalizing of AI. The soul is frequently reduced to bits of data that can be uploaded or downloaded. Without a loading bar hovering above their heads, Andreessen imagines students quietly learning from their robot instructors, much like a computer installs a new application.
Many people assumed that AI would take over most white-collar positions and eventually take over most organizations because of these flawed analogies. After all, why would someone have fallible mortals in charge of everything when there could be an infinitely wise and knowledgeable AI overlord in charge? The real challenge was, in the opinion of experts, dealing with the displaced, unemployed masses who would unavoidably become obsolete and ensuring that the robot overlords continue to treat people with kindness. The only real difference between the pessimist and the optimist was in this regard, where one believed that AI would create a utopia and the other believed that it would accomplish the opposite.
Of course, neither of these possibilities are true because AI does n’t have the capacity to replace people, and it never did. It is a powerful tool at best, but it has more in common with a spell- and grammar-check application or a search engine than it does with even the most illiterate, most uncreative person.
This is why using artificial intelligence to generate income has been so unsuccessful. Employers believed they could invest in AI to perform their employees ‘ tasks more effectively for less money. However, the inputs and accompanying training required complete even the most basic tasks is overwhelming. Most managers would be better off telling their employees what to do and putting their faith in their ability to do it than learning how to program complex operations on a robot. It also makes for a happier workplace.
The same applies to the current loneliness epidemic by using AI to combat it. Perhaps a few ten persuaded souls wo n’t mind having an AI companion around, but this will only serve to feed the worst parts of those who are trying to form meaningful relationships. It reinforces the anti-social behaviors that cause loneliness in the first place rather than serving as practice for real interaction. The lonely user indulges in delusions and cultivates extreme narcissism rather than making sacrifices and developing empathy.
Ironically, AI’s greatest benefit is demonstrating how special and irreplaceable people are. Therefore, whether it can increase human potential by becoming a useful tool or by becoming an expensive burden will determine its financial and cultural success.
