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The Rise and Fall of the AI Bubble
The Rise and Fall of the AI Bubble
Since ChatGPT rapidly surpassed the record of user growth, artificial intelligence is almost omnipresent in the modern metropolis collectivity. Its arrival has brought a wide gradient of expectations ranging from simple problem solving to the complete automation of our societies.
But I believe that, while AI has amazing capabilities, it is far from revolutionizing the world and achieving the full automation expected by the general public in the short term.
The market is saturated with AI startups
If you’ve been doom scrolling on social media, you’ll know that influencers keep talking about new AI tools that are going to revolutionize the world, just like they said cryptocurrencies would, from voice cloners, image and video creators, data analytics, just to name a few. There are too many AI companies! It’s all AI!
The AI company trend
In this AI fever, entrepreneurs are becoming even more elitist, by which I mean that all those business ideas that don’t use AI are ipso facto discarded. “To use AI” has been added to the checklist of any company that wants to go to market and this, to me, is what creates this AI bubble.
Investors’ greed and consumers’ ignorance are guilty of The AI bubble
It is enough for a company to use AI to grant it with an unknown magic that makes it irresistible to the general public, and also to investors. And this because a simple reason: as a society we do not understand how AI works internally, we do not understand the statistics behind it and we endow it with the mysticism of magic. Consumers, usually businesses, expect AI to reduce (or eliminate) the costs of hiring people and investors expect to make the investment of a lifetime.
AI fever and capital investment
As I said, investors don’t want to be left out of this party and are so eager to hit the jackpot and become the new Zuckerberg of artificial intelligence that they open their wallets without thinking every time they hear the word “AI” in the same sentence as “disruptive.”
But, in my opinion, this is all just a bunch of companies and entrepreneurs acting on the above, just as creators of Devin, the supposed replacement for programmers , and the creators of Rabbit R1 are probably doing.
The market is trying to make a quick and easy buck from the suddenly growing interest of tech laymen in something as abstract, and with such esoteric characteristics, as AI.
Many of the AI solutions are just plain ChatGPT wrappers
In addition to this, most people involved in the financial side of AI don’t understand that not much has really changed in the coding world, most solutions just use ChatGPT on the backend, along with a visually appealing interface to present themselves as the next unicorn and look for easy money from investors.
It’s not that using chatGPT for your company is wrong, but if an app is just a GPT wrapper, the risk of becoming a commodity is high, are we going to have thousands of different apps that solve the same problem and are just chatGPT wrappers?
And not that the above is wrong, but I would prefer that all the possibilities that AI has to offer be explored, that we train neural networks to automate every tedious aspect of society and free humans from the paradigm of performing repetitive 9-5 tasks or maybe to improve human’s health via drug design . I want more investment in AI, but one that “adds value,” not just seeks to profit as quick as possible.
Companies are running out of Data to train LLM
I stumbled upon this video the other day, and I agree with this fine gentleman: Companies are running out of data, it was never about computing power, it’s all about curated and reliable datasets to train AI.
The greed that feeds the use of AI is going to flood the internet with a myriad of AI articles, that are going to be used to feed, and afterwards be regurgitated by the AI, over and over again as in the human centipede movie.
The tragic end of the AI Bubble and the New Normal
Having said the above, it seems that I believe that all this about AI is nothing more than smoke and mirrors, but that’s far from the truth, I believe that AI is going to stay and it has potential for a social revolution but, at least in the short term, it will be exclusive to a very small group of companies, among which I highlight openAI, Google, Microsoft and the usual players.
Machines don’t learn. What a typical “learning machine” does, is finding a mathematical formula, which, when applied to a collection of inputs (called “training data”), produces the desired outputs. This mathematical formula also generates the correct outputs for most other inputs (distinct from the training data) on the condition that those inputs come from the same or a similar statistical distribution as the one the training data was drawn from. - Andriy Burkov
In my opinion, AI is the ultimate autocomplete tool, be it text, images or video, nothing else. So far AGI is a milestone that remains distant in the future.
Don’t get me wrong, there is an AI bubble, and the bubble will burst and only those companies with the potential to change the game forever will remain. Tools like Sora, Midjourney, ChatGPT, Eleven Labs or Watson.
It is up to them to decide the pace at which this transition will take place despite what the market is trying to shove down your throat.
My prediction regarding the AI bubble, is that all other companies that don’t have their own unique neural networks or some intellectual property to protect them, are going to cannibalize and commoditize themselves, crashing the market in the process, and that, when the AI bubble bursts, a lot of people are going to lose money in the process.