Artificial Intelligence: The Journey To A Thinking Machine

The author of the text is discussing the history and future of artificial intelligence. They ask how we got to our current level of AI development, and where we are headed. They also wonder how close we are to creating a machine that can think like a human.

It was obvious that something had changed when the latest version of generative artificial intelligent dropped in late 2022.

The language model

ChatGPT

Reach 100 Million

In just two months, the application has grown to over a million active monthly users. This is the fastest consumer app growth in history. Goldman Sachs also predicted that AI would add up to 10% in revenue.

Global GDP increases by 7%

Over a period of 10 years, the economy will grow by almost $7 trillion but 300 million jobs will be lost.

Even though AI continues to disrupt all aspects of work and life, it is worth taking a look back.

This visualization was created by Visual Capitalists Chris Dickert & Sabrina Fortin

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We ask ourselves how we got to this point, where we are going and whether we are close to creating a true thinking machine.

Mainstreaming Milestones

Computer scientist, John McCarthy, coined the term "artificial Intelligence".

John McCarthy

In 1955, he proposed a conference. He is often called one of the fathers in AI, along with Alan Turing and Marvin Minsky.

Since then, AI technology has advanced in leaps. In 1997, AI mastered chess and defeated former World Chess Champion Garry Kasparov. Google's AlphaGo defeated South Korean Go champion Lee Sedol 4-1 in 2016. The explanation for the nine-year difference in achievement is due to the

Go

Chess has only 10123 possible combinations.

DALL-E was released in 2021, and ChatGPT-4 arrived in early 2023. This brings us up to date.

What is Artificial Intelligence (AI)?

The Roomba vacuums your condo, but HAL is a different animal.

2001: Space Odyssey

Researchers working in this field have developed the following methods to help overcome this problem.

Classify AI

:

Even though a

false alarm

By a Google software engineer 2022, and a paper published by early

GPT-4 boosters

No one believes that the latest generative AIs are thinking machines. ChatGPT is just an upgraded version of autocomplete, despite its many capabilities.

Do Androids Dream Of Electric Sheeps?

The title of Philip K. Dick’s science fiction classic that was used as the basis for the film.

Blade Runner

Harrison Ford is a blade-runner in the film, a private investigator that uses a Turing Test version to find lifelike androids. How could we know? We're not Harrison Ford, and this isn’t science fiction.

Some people working in the field proposed

various tests

Over the years. Ben Goertzel, a cognitive scientist, thought that an AI would pass if it could enroll in college and complete the coursework. Steve Wozniak (co-founder of Apple) suggested that an AI would pass if it could find a kitchen in a foreign house and make a cup coffee.

Many of these AI systems are able to do something that humans can do effortlessly: generalize and adapt. This is an area where AI has struggled, despite its ability to excel at other tasks.

Can current state-of-the-art AI achieve thinking machines?

It is possible that the current strategy, which has produced incredible results, may have run out of road.

Researchers have developed

There are thousands of benchmarks

To test the performance on AI models of a variety of human tasks from image classification and natural language inference. Stanford University's

AI Index

The median AI score in 2022 is only 4% higher than the current benchmark.

In response, new comprehensive benchmark suites like BIG-Bench, and HELM have started to appear. But will they share the fate of their predecessors, or not? The AI is quickly surpassed but no closer to J.A.R.V.I.S. Could it pass the Wozniak Coffee Test?

Imagine a Smarter World

AIVERSE

The answer may be found in, a company that specializes in next-generation AI.

Recently, the company released

Research

This video shows you how to create an AI that not only can think but also analyze and understand its own 'thought process'. The next part is available.

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