This article will give you a review of the book "The Myth of Artificial Intelligence: Why Computers Can't Think the Way We Do".

The book "The Myth of Artificial Intelligence: Why Computers Can't Think the Way We Do" is written by Erik J. Larson. It was published on April 30, 2021. A cutting-edge AI researcher and tech entrepreneur debunk the idea that super-intelligence is just a few clicks away, arguing that it's not only false, but it's also actively stifling innovation and distorting our capacity to make the critical next step. AI, according to futurists, will soon surpass the capabilities of even the most brilliant human intellect. Against super-intelligent machines, what hope do humans have? However, we are not yet on the road to creating intelligent machines. In reality, we have no idea where that road could go.

Erik J. Larson, a tech entrepreneur and pioneering research scientist at the forefront of natural language processing, takes us on a tour of the AI landscape to illustrate how far we've come and what it'll take to get there. Artificial intelligence has been equated with human intelligence by AI advocates since Alan Turing. This is a huge blunder. Inductive reasoning is used by AI to anticipate outcomes by crunching data sets. Humans, on the other hand, do not correlate data sets; instead, we make assumptions based on context and experience. Given what we know about the world, human intellect is a network of best guesses. We have no idea how to program abduction, which is a type of intuitive thinking. It is, nevertheless, the core of common sense. That's why Alexa can't grasp your question and AI can only get us so far.

AI hype, according to Larson, is both bad science and bad for science. Exploring unknowns, rather than overselling current techniques, is what a culture of creation thrives on. Inductive AI will continue to develop at specific tasks, but if we want to make genuine progress, we must first learn to appreciate the only actual intellect we have access to our own.