jueves, 20 de abril de 2023
A.I. ARE MACHINES FINALLY TAKING OVER FROM US ? CECILY
ZANNY BEDOES is editor in chief of the prestigious ECONOMIST MAGAZINE
SHE SAID THIS IN HER LATEST ISSUE
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APRIL 20TH 2023
The Economist this week
Highlights from the latest issue
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Zanny Minton Beddoes
Editor-in-chief
I am fascinated and awed by the new generative AI models popping up everywhere. But I have struggled with how to think about them. Should we be excited or anxious about this fast-moving technology—or both? The abilities of “large language models”—of the sort that power ChatGPT, a chatbot made by OpenAI—seem to have surprised everyone, including their creators. One recently passed the American Uniform Bar Examination, a fearsome test of lawyers' skills, in the 90th percentile. Our aim with this week’s issue was to help make sense of it all. In a special, expanded Science and Technology section, our writers explain how large, creative AI models work, the ways they could go wrong and what capabilities they might gain next. They’ve done a superb job of describing complex concepts in a clear and accessible way, including with interactive diagrams in digital versions of the articles. In an accompanying essay we look to history—from the printing press to computer browsers—to understand how this technology might change the world. Our leader pages, meanwhile, weigh the risks and opportunities of AI.
If you are a subscriber and enjoy this week’s deep-dive into artificial intelligence, you can sign up to our weekly Simply Science newsletter.
The machines have not taken over entirely this week, however. I also recommend our deeply reported article on why conflicts are lasting longer. The escalating crisis in Sudan is shocking. Sadly, our analysis shows that it is part of a broader trend.
Editor’s picks
Must-reads this week
Technology and society
How to worry wisely about artificial intelligence Read in browser
APRIL 20TH 2023
The Economist this week
Highlights from the latest issue
________________________________________
________________________________________
Zanny Minton Beddoes
Editor-in-chief
I am fascinated and awed by the new generative AI models popping up everywhere. But I have struggled with how to think about them. Should we be excited or anxious about this fast-moving technology—or both? The abilities of “large language models”—of the sort that power ChatGPT, a chatbot made by OpenAI—seem to have surprised everyone, including their creators. One recently passed the American Uniform Bar Examination, a fearsome test of lawyers' skills, in the 90th percentile. Our aim with this week’s issue was to help make sense of it all. In a special, expanded Science and Technology section, our writers explain how large, creative AI models work, the ways they could go wrong and what capabilities they might gain next. They’ve done a superb job of describing complex concepts in a clear and accessible way, including with interactive diagrams in digital versions of the articles. In an accompanying essay we look to history—from the printing press to computer browsers—to understand how this technology might change the world. Our leader pages, meanwhile, weigh the risks and opportunities of AI.
If you are a subscriber and enjoy this week’s deep-dive into artificial intelligence, you can sign up to our weekly Simply Science newsletter.
The machines have not taken over entirely this week, however. I also recommend our deeply reported article on why conflicts are lasting longer. The escalating crisis in Sudan is shocking. Sadly, our analysis shows that it is part of a broader trend.
Editor’s picks
Must-reads this week
Technology and society
How to worry wisely about artificial intelligence
Rapid progress in AI is arousing fear as well as excitement. How worried should you be?
________________________________________
Related
How AI could change computing, culture and the course of history
Large language models’ ability to generate text also lets them plan and reason
How generative AI models work
How generative models could go wrong
Forgotten conflicts
The world’s deadliest war last year wasn’t in Ukraine
Sudan is not a one-off. There’s a disturbing resurgence in civil wars
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The art of interpretation
How to explain the puzzle of the world economy
Welcome to the Mona Lisa effect
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The too-big four
Why EY and its rivals may eventually break up, after all
The commercial logic for splitting up the big four is only getting stronger
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The car industry
Everything about carmaking is changing at once
The industry must reinvent itself to keep pace, says Simon Wright
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Related
Special report: The car industry
Bagehot
If English nationalism is on the rise, no one has told the English
The rise of English identity is largely myth
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Economist Films
AI safety
How to stop artificial intelligence going rogue
Researchers are increasingly worried about existential risks
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The A-Z of economics
Our word of the week
Fiscal drag
A way in which inflation can boost tax revenues. In most tax systems, workers must earn a certain amount before they pay income tax, or pay it a higher rate. If those allowances are not uprated every year in line with inflation, workers end up paying more in tax in real terms when their wages rise. Read about how Britain’s tax take is getting bigger, but the country’s tax system is deeply flawed.
• Find more definitions in our A-Z of economics
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Rapid progress in AI is arousing fear as well as excitement. How worried should you be?
________________________________________
Related
How AI could change computing, culture and the course of history
Large language models’ ability to generate text also lets them plan and reason
How generative AI models work
How generative models could go wrong
Forgotten conflicts
The world’s deadliest war last year wasn’t in Ukraine
Sudan is not a one-off. There’s a disturbing resurgence in civil wars
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