Why Computers Can’t Think Like We Do
Book Review: The Myth of Artificial Intelligence: Why Computers Can’t Think Like We Do
The book âThe Myth of Artificial Intelligence: Why Computers Can’t Think Like We Doâ is written by Erik J. Larson. It was released on April 30, 2021. Leading AI researcher and tech entrepreneur debunks the idea that super intelligence is just a few clicks away, claiming it’s not just wrong, but it’s it also actively stifles innovation and distorts our ability to take the critical next step. AI, according to futurists, will soon exceed the capabilities of the brightest 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 this road could go.
Erik J. Larson, tech entrepreneur and pioneering researcher at the forefront of natural language processing, takes us on a tour of the AI ââlandscape to illustrate how far we’ve come and what it will take to get there. Artificial intelligence has been equated with human intelligence by AI advocates since Alan Turing. It is a huge blunder. Inductive reasoning is used by AI to anticipate outcomes by analyzing sets of data. Humans, on the other hand, do not correlate data sets; instead, we make assumptions based on context and experience. Based on what we know about the world, the human intellect is a web of better guesses. We have no idea how to program the rapture, which is a type of intuitive thinking. Yet it is the heart of common sense. This is why Alexa cannot grasp your question and the AI ââcan only take us so far.
The AI ââhype, according to Larson, is both bad science and bad for science. Exploring the unknowns, rather than overselling current techniques, is what a culture of creation thrives on. Inductive AI will continue to develop for specific tasks, but if we are to make real progress, we must first learn to appreciate the only real intellect that we have access to.
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