Red-eyed killer robots…
A desolate landscape in ruins…
A dystopian world living in fear of our AI overlords.
That’s a synopsis of our worst fears when it comes to AI, or artificial intelligence.
Much more common, however, is the simple fear of losing our jobs.
You see, AI can automate tasks previously done by humans. And do it in a more efficient and cost-effective way as well.
That’s why for 65% of U.S. adults, AI taking jobs from their industry is a concern, according to a Morning Consult poll.
It’s probably how an accountant felt in the ‘70s.
Businesses were embracing a new technology, the computer.
Pretty quickly the industry went from calculators and paper to computers and spreadsheets.
And by the ‘80s, you could essentially replace your entire accounting department with a piece of software.
So it’s logical an accountant would have feared for their job at the time.
And at the very least, with such advances in technology, you’d expect there to be less accountants going forward.
But ironically, the opposite happened.
It’s called the Jevons paradox.
That’s when technological progress increases the efficiency with which a resource is used. But the falling cost of use increases its demand, thus increasing, rather than reducing, resource use.
So you’d think with a machine that can do the work of 10 people, you’d end up with less people.
But since the machine makes the work cheaper and more efficient, you find ways to do more of it. An accountant, for example, could expand into inventory management.
And then it opens the doors to new businesses only possible because of the new technology as well.
So the technology that you thought could replace you and your work actually ends up creating even more work.
Just check the Federal Reserve’s economic data for the accounting profession. The number of jobs in the field has only gone up for decades now.
So we shouldn’t be fearing AI. Instead, we should be looking for ways to profit.
The AI Problem
Unless you’ve been living under a rock, you know ChatGPT has taken the world by storm… putting AI in the limelight.
ChatGPT is a chatbot, or in technical terms, a large language model. It draws on a huge body of textual data to provide you with human-like answers.
Its dataset, for example, includes over 300 billion words from the web, books, and Wikipedia.
Besides answering your questions, ChatGPT can do a host of other tasks. It can create computer code, craft a website, design a marketing plan, or write a poem.
And it’s done amazing things like pass the U.S. Bar exam, U.S. medical licensing exams, and Wharton’s MBA exam.
But ChatGPT has a dirty little secret…
Not enough power!
And that’s per Sam Altman, CEO of OpenAI, the company behind ChatGPT. He noted the shortage of graphics processing units (GPUs) in reports from behind-closed-doors meetings.
According to these reports, the shortage of GPUs led to low computing power for ChatGPT. The result being ChatGPT didn’t process as much info as it wanted.
Its memory is limited, so it may find it difficult to handle certain questions. And it may not complete more tedious tasks due to low computing power.
Here’s the thing: It took 10,000 GPUs just to train ChatGPT, per estimates. And some had it as high as 20,000.
But that’s only for training, not even inference. (Inference in AI refers to the process of reasoning and making decisions based on available information or data.)
And further, OpenAI is projected to need north of 30,000 GPUs for the commercialization of ChatGPT.
Of course, OpenAI is using the best GPU available for AI today, Nvidia’s A100.
Now, it’s difficult to get exact information on the number of these GPUs available today. But according to the State of AI Report Compute Index, there are only roughly 80,000 running today.
And for further context, consider the thought experiment of computer researchers Dylan Patel and Afzal Ahmad from the firm SemiAnalysis.
Their experiment asked, “What if Google deployed ChatGPT into every search? How many GPUs would you need?”
The answer is, over 4 million.
With the work AI is already creating, and the new work it’ll create in the future, it’s clear GPUs will be in short supply.
The question is, how to we profit from this AI problem?
This Project Has 100x More Upside Than Nvidia
It’s very simple: AI can’t survive without GPUs.
In fact, some call GPUs “the new oil.”
With the dramatic rise of ChatGPT, there’s now a substantial shortage of GPUs. And it’s not a problem that can be easily solved.
Amazon, Microsoft, and Google are already starting to place restrictions on GPU availability to their customers.
Some GPU customers have noted there are now wait times extending for several months. And chipmakers are urgently trying to ramp up supply.
But we’ve found a solution that can help solve the problem today.
For the past few months, engineers from Google and Microsoft have been working on a little-known crypto project that Daily editor Teeka Tiwari believes will revolutionize the AI industry.
And he found a way for you to get in on the ground floor of this project for just $1.
According to our research, this project has at least 100x more upside potential than popular AI stocks like Nvidia.
That’s why Teeka held his special strategy session, The #1 Coin for the AI Boom, a few days ago.
You can click here to watch a replay of the event.
AI coins are combining the two biggest technologies of this century: blockchain and AI.
This is the hottest new trend in the crypto world, and it’s still just a tiny, little niche of the crypto market.
Since this is a brand-new trend, many of these cryptos still trade for pocket change. So it doesn’t take much to send them skyrocketing.
For example, earlier this year, a coin called Artificial Liquid Intelligence jumped as high as 839%… Another one called SingularityNet rallied 1,108%… And SelfKey soared even higher… an incredible 5,077%.
So make sure to watch Teeka’s special strategy session if you haven’t already done so and get the details on his No. 1 AI coin. We believe it’ll be the solution to AI’s biggest problem.
Regards,
Greg Wilson
Analyst, Palm Beach Daily