How to Think About AI
A Guide for the Perplexed
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Narrated by:
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Richard Susskind
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By:
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Richard Susskind
About this listen
Revealing the unfolding story of Artificial Intelligence, Richard Susskind presents a short non-technical guide that challenges us to think differently about AI. Susskind brings AI out of computing laboratories, big tech companies, and start-ups—and into everyday life.
In recent years, and certainly since the launch of ChatGPT, there has been massive public and professional interest in Artificial Intelligence. But people are confused about what AI is, what it can and cannot do, what is yet to come, and whether AI is good or bad for humanity and civilization—whether it will provide solutions to mankinds major challenges or become our gravest existential threat. There is also confusion about how we should regulate AI and where we should draw moral boundaries on its use.
In How To Think About AI, Richard Susskind draws on his experience of working on AI since the early 1980s. For Susskind, balancing the benefits and threats of artificial intelligence is the defining challenge of our age. He explores the history of AI and possible scenarios for its future. His views on AI are not always conventional. He positions ChatGPT and generative AI as no more than the latest chapter in the ongoing story of AI and claims we are still at the foothills of developments. He argues that to think responsibly about the impact of AI requires us to look well beyond today's technologies, suggesting that not-yet-invented technologies will have far greater impact on us in the 2030s than the tools we have today. This leads Susskind to discuss the possibility of conscious machines, magnificent new AI-enabled virtual worlds, and the impact of AI on the evolution of biological humans.
Fascinating explanation of AI and analysis of its future.
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At last I understand AI
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Fantastic guide to AI and its impact
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Is our experience as human beings really the measure of things?
An enjoyable, thoughtful listen
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When Deep Blue beat the beautiful mind of Garry Kasparov at chess, it did so not with ideas but brute computational power; and when a chatbot writes your next, or last, report at the job you once had, it is not, like you, thinking. It is sifting ones and zeros.
Large Language Model AIs (like ChatGPT) are the latest dazzling creation. Right now such apps are scraping every bit of (human-made) content they can from the internet and synthesizing it into plausible continuations of prompts you feed them. But you might decide to avoid spending time worrying about how AI works (what this author calls ‘process thinking’) and focus instead on ‘outcome thinking’.
Look at what it can do! It looks like the real thing. It reads like the real thing.
It can synthesize knowledge and parrot human creativity faster than you can hold on. It could one day (and forever after) write then read the story that sends your grandchildren to sleep, from a sophisticated mélange of everything its creators allowed it steal from us.
There are many ways you could think about AI.
You may have your own ideas...
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