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5 min read

Why AI is Exploding NOW!

Apr 23, 2023

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AI was first discussed in 1956 at a Dartmouth Conference 70 years old. And the first deep-learning-like algorithms were described in 1965.

So Why is AI Exploding Now?

There are four reasons that are important to understand:

#1. Computational Power: While the power of computation has been doubling every 12 to 24 months for the past 50 years (Moore’s Law), it is just recently (the last 5 years) that there is enough computational power to run today’s deep learning algorithms.

#2. Massive Amount of Labeled Data: Global data has been doubling every two years, and is expected to reach 175 Zettabytes (175 billion-million-megabytes) in 2025. Not only is it a large amount of data, but it is also labeled data, enabling the training of today’s large language models (LLMs).

#3. Demonetized Training Costs: The cost to train these AI systems has plummeted 99.5% in the last five years. That’s extraordinary. 

#4. Massive Investments: In 2021, corporations invested $160 billion in AI. By 2030, the global AI market is projected to be worth $1.6 trillion.

We saw ChatGPT go from 0 to 100 million users in just two months.

Proof of AI Domination: 

Need more evidence of the power of AI? Below are just a few recent developments, what I call “Proof of AI Domination”: 

  • ChatGPT passes the Bar Exam, US Medical License Exam, and Wharton’s MBA Final Exam. For comparison, the US Medical License Exam normally requires four years of medical school and then a few more years of residency to pass. ChatGPT did it in two months.
  • GPT-4, OpenAI’s newest model released last month, then beat us humans by 75% or more on a range of other exams: from the LSAT and the GRE, to the SAT and the AP Math exam.
  • An AI system defeats top doctors in tumor diagnosis competition in China. The AI correctly diagnosed 85% in just 18 minutes, compared to top neurologists who achieved 64% accuracy in 50 minutes. Soon, our best diagnosticians are going to be AIs.
  • DeepMind’s AlphaCode AI outperforms human coders. When pitted against over 5,000 human participants, the AI outperformed 45% of expert programmers.
  • An AI can clone your voice from just 3 seconds of audio. Microsoft’s AI Vall-E can synthesize your voice using only a 3 second audio sample and preserve intonation, emotion, and voice style.
  • The recently released semi-autonomous AI Auto-GPT removes the need for writing prompts altogether. Auto-GPT, which is based on GPT-4, works through goal-setting, with the AI generating and completing tasks once a given goal has been specified—from creating and completing to-do lists, to ordering food and booking flights.
  • AI designs a potential cancer drug in 30 days. Researchers used AlphaFold and the drug discovery platform Pharma.AI to design and synthesize a potential drug to treat hepatocellular carcinoma (HCC), the most common type of primary liver cancer.

And so much more (every day)... it’s breathtaking! 

The CEO of Stability AI Emad Mostaque, who I’ve had on my podcast and on the Abundance360 stage, recently made an extraordinary point.

“Google and Microsoft are going all-in with generative AI as core to their future. There is no ‘we are still early’ here, trillion-dollar companies are shifting their whole strategy and focus.”

-- Emad Mostaque, CEO, Stability AI

And we’re seeing this play out. 

Microsoft invested $10 billion in OpenAI earlier this year and Bing (remember Bing?) is now AI-powered and disrupting online search. Bing now has over 100 million daily active users.

Google has been on red alert for months to defend its search business against Microsoft, OpenAI, and others. The company released its own AI-powered chatbot Bard earlier this year, and just last week made two key announcements. First, Google is creating new AI-powered search tools as part of its project “Magi.” Second, the company is consolidating all of its AI research divisions into Google DeepMind.

Meanwhile, Elon has announced a new AI company called X.ai to rival OpenAI. 

And Stability AI itself just released its suite of open-source large language models (LLMs), ranging from 3 billion to 7 billion parameters.

Why This Matters: 

Alphabet CEO Sundar Pichai has said, “Artificial intelligence could have more profound implications for humanity than electricity or fire.”

I agree. The way I put it, perhaps more bluntly, is: 

By the end of this decade there are going to be two kinds of companies: those that are fully utilizing AI and those that are out of business.”

The choice is yours.

In the coming years, it will be the entrepreneurs, creators, and leaders who work with technology that will have the most impact.

We have an enormous opportunity to use AI for good. 

What will you create? How will YOU uplift humanity?

This blog is the first in a new series about AI. In our next blog on the topic, we'll cover the Ethics of AI.

NOTE: I'm hosting a four-hour Workshop on Generative AI next month as part of my year-round Abundance360 leadership program. If you're interested in participating in the Workshop and learning more about Abundance360, click here.




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I discuss topics just like this on my podcast. Here’s a conversation I recently enjoyed:

A Statement From Peter:

My goal with this newsletter is to inspire leaders to play BIG. If that’s you, thank you for being here. If you know someone who can use this, please share it. Together, we can uplift humanity.

Peter H. Diamandis

Written by Peter H. Diamandis


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