Singularity Here S When Humanity Will Reach It New Data Shows
And the impending singularity may spell our end even sooner. Here’s what you’ll learn when you read this story: Based on the U.N.’s projections, our world population could grow to around 8.5 billion in 2030 and up to 9.7 billion in 2050. Then, the peak happens at 10.4 billion during the 2080s, and the decline starts around 2100. Hell, that forecast may even be a bit on the high side, according to a University of Washington study funded by the Gates Foundation. The point is, with the world’s population passing 8 billion late last year, the global population peak is drawing rapidly closer.
But so, too, is singularity—the concept of artificial intelligence exceeding beyond human control and rapidly transforming society. (One trend shows we’ll reach singularity in just 5 years.) Will singularity throw an entirely different wrinkle into the population peak? Artificial intelligence may not have gone full Skynet on us—yet—but an eye-popping recent benchmark suggests the world may be much closer than we thought to the tipping point where AI stops imitating us and... That’s the crux of one of Pop Mech’s most viral recent stories, “Humanity May Reach the Singularity Within Just 5 Years, Trend Shows.” Based on one Italian company’s surprising metric, the singularity—the theoretical moment... Pop Mech readers have predictably reacted to that bone-chilling headline, but what does the claim actually mean? Watch editors Andrew Daniels and John Gilpatrick bat around the concept of the singularity, discuss why language translation is being used as a proxy for human-level intelligence, and unpack how a stat called “Time...
Before you panic, Andrew and John also talk about why this milestone doesn’t have to be terrifying. If AI learns to master the quirks of human language, it could seriously help how we talk to each other around the world. Watch the full episode above now, and find more installments of “The Astounding Pop Mech Show” on PopularMechanics.com. It is possible that the singularity, when machines become smarter than humans, is not far off. While earlier predictions said AGI would arrive by 2060, new progress in LLMs has made the timeline much shorter. AIMultiple, a tech research group, has found that some prominent AI experts now think the singularity could appear in as little as six months.
The study analyzed over 8,500 predictions made by scientists, entrepreneurs, and members of the AI community and found a clear gap. Although many researchers believe AGI will arrive by 2040, entrepreneurs are now more confident and predict it could happen as early as 2030. According to Anthropic’s CEO, humanity might achieve AGI before the year 2025 is over. The rapid increase in computing power is a major reason for this optimism. Because of Moore’s Law, which predicts a doubling of computing power every 18 months, LLMs are getting closer to thinking like humans. Even if the current hardware reaches its limit, experts think quantum computing could keep AI moving forward.
However, some people are not convinced by the hype. Some argue that the current definition of AGI does not capture the full range of human intelligence, which includes abilities like interpersonal and existential intelligence that machines have not yet developed. Yann LeCun, an AI pioneer, suggests that AGI should be called “advanced machine intelligence” because real human-level understanding could be much more complicated. Although the exact moment is not known, it is certain that humanity is about to experience a major change. No matter if AGI comes in six months or sixty years, it will have a huge effect on science, society, and civilization. The report points out that these systems can help with discoveries, but they are not the main reason for them.
The singularity, if it happens, could be a gradual change, not a sudden burst of intelligence. By one major metric, artificial general intelligence is much closer than you think. In the world of artificial intelligence, the idea of “singularity” looms large. This slippery concept describes the moment AI exceeds beyond human control and rapidly transforms society. The tricky thing about AI singularity (and why it borrows terminology from black hole physics) is that it’s enormously difficult to predict where it begins and nearly impossible to know what’s beyond this technological... However, some AI researchers are on the hunt for signs of reaching singularity measured by AI progress approaching the skills and ability comparable to a human.
One such metric, defined by Translated, a Rome-based translation company, is an AI’s ability to translate speech at the accuracy of a human. Language is one of the most difficult AI challenges, but a computer that could close that gap could theoretically show signs of Artificial General Intelligence (AGI). “That’s because language is the most natural thing for humans,” Translated CEO Marco Trombetti said at a conference in Orlando, Florida, in December. “Nonetheless, the data Translated collected clearly shows that machines are not that far from closing the gap.” The company tracked its AI’s performance from 2014 to 2022 using a metric called “Time to Edit,” or TTE, which calculates the time it takes for professional human editors to fix AI-generated translations compared... Over that 8-year period and analyzing over 2 billion post-edits, Translated’s AI showed a slow, but undeniable improvement as it slowly closed the gap toward human-level translation quality.
The world is awash in predictions of when the singularity will occur or when artificial general intelligence (AGI) will arrive. Ssome experts predict it will never happen, while others are marking their calendars for 2026. A new macro analysis of surveys over the past 15 years shows where scientists and industry experts stand on the question and how their predictions have changed over time, especially after the arrival of... Although predictions vary across a span of almost a half-century, most agree than AGI will arrive before the end of the 21st century. Since the arrival of the large language models (LLMs) that have now seeped into seemingly every nook and cranny of our digital lives, scientists, experts, industry leaders, and pretty much everyone else have some... Some researchers who’ve studied the emergence of machine intelligence think that the singularity—the theoretical point where machine surpasses man in intelligence—could occur within decades.
On the other end of the prediction spectrum, there’s the CEO of Anthropic, who thinks we’re right on the threshold—give it about 12 more months or so. A new analysis poring over “8,590 scientists’, leading entrepreneurs’ and community’s predictions” tries to make sense of all the confusing AI predictions that exist today and tracks changes in those predictions over time. This macro investigation was conducted by a research outfit called AIMultiple, which evaluates new technologies using robust data analysis techniques. Although this survey does look at different AI thresholds (such as artificial general intelligence (AGI) and AI superintelligence), AI industry leaders were overall more bullish on their predictions. Most respondents, however, believed AGI would likely occur within the next half-century. In the world of artificial intelligence, the idea of “singularity” looms large.
This slippery concept describes the moment AI exceeds beyond human control and rapidly transforms society. The tricky thing about AI singularity (and why it borrows terminology from black hole physics) is that it’s enormously difficult to predict where it begins and nearly impossible to know what’s beyond this technological... However, some AI researchers are on the hunt for signs of reaching singularity measured by AI progress approaching the skills and ability comparable to a human. One such metric, defined by Translated, a Rome-based translation company, is an AI’s ability to translate speech at the accuracy of a human. Language is one of the most difficult AI challenges, but a computer that could close that gap could theoretically show signs of Artificial General Intelligence (AGI). “That’s because language is the most natural thing for humans,” Translated CEO Marco Trombetti said at a conference in Orlando, Florida, in December 2022.
“Nonetheless, the data Translated collected clearly shows that machines are not that far from closing the gap.” The company tracked its AI’s performance from 2014 to 2022 using a metric called “Time to Edit,” or TTE, which calculates the time it takes for professional human editors to fix AI-generated translations compared... Over that 8-year period and analyzing over 2 billion post-edits, Translated’s AI showed a slow, but undeniable improvement as it slowly closed the gap toward human-level translation quality. The world is awash in predictions of when the singularity will occur or when artificial general intelligence (AGI) will arrive. Some experts predict it will never happen, while others are marking their calendars for 2026. A new macro analysis of surveys over the past 15 years shows where scientists and industry experts stand on the question and how their predictions have changed over time, especially after the arrival of...
Although predictions vary across a span of almost a half-century, most agree than AGI will arrive before the end of the 21st century. Since the arrival of the large language models (LLMs) that have now seeped into seemingly every nook and cranny of our digital lives, scientists, experts, industry leaders, and pretty much everyone else have some... Some researchers who’ve studied the emergence of machine intelligence think that the singularity—the theoretical point where machine surpasses man in intelligence—could occur within decades. On the other end of the prediction spectrum, there’s the CEO of Anthropic, who thinks we’re right on the threshold—give it about 12 more months or so.
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And The Impending Singularity May Spell Our End Even Sooner.
And the impending singularity may spell our end even sooner. Here’s what you’ll learn when you read this story: Based on the U.N.’s projections, our world population could grow to around 8.5 billion in 2030 and up to 9.7 billion in 2050. Then, the peak happens at 10.4 billion during the 2080s, and the decline starts around 2100. Hell, that forecast may even be a bit on the high side, according to ...
But So, Too, Is Singularity—the Concept Of Artificial Intelligence Exceeding
But so, too, is singularity—the concept of artificial intelligence exceeding beyond human control and rapidly transforming society. (One trend shows we’ll reach singularity in just 5 years.) Will singularity throw an entirely different wrinkle into the population peak? Artificial intelligence may not have gone full Skynet on us—yet—but an eye-popping recent benchmark suggests the world may be much...
Before You Panic, Andrew And John Also Talk About Why
Before you panic, Andrew and John also talk about why this milestone doesn’t have to be terrifying. If AI learns to master the quirks of human language, it could seriously help how we talk to each other around the world. Watch the full episode above now, and find more installments of “The Astounding Pop Mech Show” on PopularMechanics.com. It is possible that the singularity, when machines become s...
The Study Analyzed Over 8,500 Predictions Made By Scientists, Entrepreneurs,
The study analyzed over 8,500 predictions made by scientists, entrepreneurs, and members of the AI community and found a clear gap. Although many researchers believe AGI will arrive by 2040, entrepreneurs are now more confident and predict it could happen as early as 2030. According to Anthropic’s CEO, humanity might achieve AGI before the year 2025 is over. The rapid increase in computing power i...
However, Some People Are Not Convinced By The Hype. Some
However, some people are not convinced by the hype. Some argue that the current definition of AGI does not capture the full range of human intelligence, which includes abilities like interpersonal and existential intelligence that machines have not yet developed. Yann LeCun, an AI pioneer, suggests that AGI should be called “advanced machine intelligence” because real human-level understanding cou...