Humanity May Reach Singularity Within Just 7 Years

Calendar January 31, 2023 | Posted by admin

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 “event horizon.”

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 to human ones. 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.

On average, it takes a human translator roughly one second to edit each word of another human translator, according to Translated. In 2015, it took professional editors approximately 3.5 seconds per word to check a machine-translated (MT) suggestion — today that number is just 2 seconds. If the trend continues, Translated’s AI will be as good as human-produced translation by the end of the decade (or even sooner).

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Human-level Artificial Intelligence

Calendar May 20, 2022 | Posted by admin

Human-level artificial intelligence is close to finally being achieved, according to a lead researcher at Google’s DeepMind AI division.

Dr Nando de Freitas said “the game is over” in the decades-long quest to realise artificial general intelligence (AGI) after DeepMind unveiled an AI system capable of completing a wide range of complex tasks, from stacking blocks to writing poetry. Described as a “generalist agent”, DeepMind’s new Gato AI needs to just be scaled up in order to create an AI capable of rivalling human intelligence, Dr de Freitas said. Responding to an opinion piece written in The Next Web that claimed “humans will never achieve AGI”, DeepMind’s research director wrote that it was his opinion that such an outcome is an inevitability.

“It’s all about scale now! The Game is Over!” he wrote on Twitter. “It’s all about making these models bigger, safer, compute efficient, faster at sampling, smarter memory, more modalities, innovative data, on/offline… Solving these challenges is what will deliver AGI.”

When asked by machine learning researcher Alex Dimikas how far he believed the Gato AI was from passing a real Turing test – a measure of computer intelligence that requires a human to be unable to distinguish a machine from another human – Dr de Freitas replied: “Far still.”

Leading AI researchers have warned that the advent of AGI could result in an existential catastrophe for humanity, with Oxford University Professor Nick Bostrom speculating that a “superintelligent” system that surpasses biological intelligence could see humans replaced as the dominant life form on Earth.

Source: https://uk.finance.yahoo.com/

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