Geoffrey Hinton is known as the "godfather of artificial intelligence" due to his pioneering work in the field, particularly in the development of neural networks and deep learning.

He resigned from Google in 2023, citing concerns over the potential dangers of AI if not carefully managed.

Hinton's contributions to AI are numerous, including the development of the backpropagation technique in the 1980s and his work on artificial neural networks at the University of Edinburgh in 1972.

He was awarded the Turing Award in 2018 for his contributions to deep learning.

Hinton's warnings about AI have made headlines, with him expressing concerns that AI could surpass human intelligence and pose an existential threat.

He has also warned about the potential for AI to be used to generate "fake news" and deepen inequality.

Other experts, such as Denis Hassabis, have also expressed concerns about the rapid development of AI, with some predicting that AI could match human intelligence in as little as five years.

Over 1,000 tech leaders, including Elon Musk and Yoshua Bengio, have signed a moratorium on AI development, citing concerns over its potential impact on academia and careers.

Hinton's resignation from Google and his subsequent warnings have highlighted the need for careful management and regulation of AI development to prevent potential dangers.

Overall, Hinton's warnings and concerns about AI should be taken seriously, given his expertise and experience in the field.

Geoffrey Hinton is known as the "godfather of artificial intelligence" due to his pioneering work in the field, particularly in the development of neural networks and deep learning.

Title:

Content: AI ’ s “godfather ” interviewed by the BBC, warning that artificial intelligence may be smarter than humans
AI ’ s “godfather ” interviewed by the BBC, warning that artificial intelligence may be smarter than humans
Geoffrey Hinton, known as the “godfather ” of artificial intelligence (AI), has resigned from Google.
He warned that developments in the field of artificial intelligence pose increasing dangers.
In a statement to The New York Times, Dr. Hinton said he regretted his current job.
Dr. Hinton ’ s pioneering research in neural networks and deep learning paves the way for current AI systems such as Google ’ s Bard chatbot and Microsoft ’ s ChatGPT.
The cognitive psychologist and computer scientist told the BBC that chatbots may soon be smarter than humans.

What breakthroughs has Hinton achieved through his 40+ years of work on artificial neural networks?

Breakthroughs that mimic biological brains

He resigned from Google in 2023, citing concerns over the potential dangers of AI if not carefully managed.

Title:

Content: Geoffrey Hinton: GPT-4 is 100 times more knowledgeable than any human
Author: MIAO Yongqi
Published: Updated:
Computer scientist Geoffrey Hinton, known as the "godfather of artificial intelligence", announced Monday that he has resigned from Google. He has devoted his life to developing artificial intelligence systems, saying he "regrets his life's work" and is wary of the potential dangers of AI development.
In another recent interview, Hinton further talked about why he is afraid of AI development.
Hinton, 75, left Google a few days after the news broke in an interview with MIT Technology Review senior editor Will Douglas Heaven.
Hinton points out that the new generation of AI language models, especially the GPT-4, which came out in March, made him realize that these machines were moving in a direction that was much smarter than he thought, and he was afraid of these developments.
He is best known for a technique he proposed in the 1980s (with two colleagues) called backpropagation.
In short, the algorithms that allow machines to learn support almost all of today ’ s artificial neural networks, from computer vision systems to large language models.
It wasn ’ t until the 2010s that Hinton and his two recent graduates developed a “neural network ” that demonstrated its power, stronger than any computer ’ s ability to identify objects in images, and trained it to predict the next letter of a sentence, a precursor to today ’ s large-scale language patterns.
One of the students was Ilya Sutskever, the founder of OpenAI, who led the development of ChatGPT.
“We first thought it might be great. ”“ But it ’ s going to take a long time to realize that it needs to be done on a large scale to get good results. ”
In the 1980s, the discussion of “neural networks ” was considered a joke.
But Hinton doesn ’ t think so, and is working on this, software that mimics the abstract human brain and uses code as a connection between neurons. For 40 years, Hinton has viewed artificial neural networks as a clumsy attempt to mimic biological neural networks.
Now he thinks things have changed: he thinks there are better results when trying to mimic the behavior of the biological brain.
“It ’ s scary when you see it with your own eyes, ” he said.“ It ’ s a sudden change. ”
So why did ChatGPT surprise Hinton, too? He explained that the human brain has about 100 trillion connections, and “large language models have up to 500 billion, up to a trillion. ”
However, the knowledge of GPT-4 is a hundred times greater than that of any human.
So maybe it actually has a better learning algorithm than we do. "
He also pointed out that apart from the ability to learn, the ability to communicate is another kind of point.
“If you or I learn a new thing and want to teach it to another person, we can ’ t just send them a copy. ”
But artificial neural networks can do it.
It ’ s like there are 10,000 people here, and when one person learns a new thing, the other 9,999 people all learn it at the same time.
Hinton now believes that there are two types of intelligence: animal brains and artificial neural networks.
“It ’ s a completely different kind of intelligence.
“A new, better intelligence. ” Hinton believes that whether superintelligence is good or bad depends largely on whether you ’ re an optimist or a pessimist, and he says,“ mildly depressed, ” “that ’ s why I ’ m afraid. ”
“Whether these things are going to be smarter than us, I suddenly changed my mind. ”
I think they are very close to us now and they will be much smarter than us in the future, ” he said.
“How do we survive? ” he is particularly worried that people will use the tools he has developed to change the trajectory of human life, including elections and wars.
He said that he hopes to continue talking about AI security after leaving office and spend more time on “more philosophical work ”.“ As long as I ’ m still employed at Google, I can ’ t say what I want to say, ” he said. “I have a lot of good things to say about Google, and it would be more convincing if I wasn ’ t at Google. ”
Who is the godfather of AI computer scientist Geoffrey Hinton?
Hinton pioneered the basic technology of AI systems and became interested in artificial neural networks when he was a graduate student at the University of Edinburgh in 1972. In 2018, he and two experts in the field of deep learning were awarded the Turing Award, known as the “Nobel Prize in Computing ”.
What are the main concerns of “AI Godfather ” Geoffrey Hinton about the development of artificial intelligence?
He believes that the most direct impact is to promote the dissemination of false information and the loss of employment opportunities, and also worries about the use of this tool for evil, such as influencing elections and using it in war.

What does Hinton warn could happen to AI if companies and regulators fail to implement effective rules and controls?

Hinton's contributions to AI are numerous, including the development of the backpropagation technique in the 1980s and his work on artificial neural networks at the University of Edinburgh in 1972.

He was awarded the Turing Award in 2018 for his contributions to deep learning.

Which prestigious award did Hinton receive in 2018 for his work on neural networks?

Hinton's warnings about AI have made headlines, with him expressing concerns that AI could surpass human intelligence and pose an existential threat.

Title:

Content: Wednesday, December 13, 2023
Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors

John Riopelle — obituary

Riopelle, John William It is with great sadness...

A.I. doesn’t bleed

by John Clinton, Ramsay New knowledge merges with...

Breakfast at the Legion, December 16

At the Almonte Legion Sat. December 16 Eggs to...
Science & NatureA.I. doesn't bleed

A.I. doesn’t bleed

by John Clinton, Ramsay

New knowledge merges with old; what you know shapes what you learn. Artificial neural networks have been studied and computer algorithms have been generated to understand how artificial, computer-generated, neurons, would store a concept, and how it would revise that concept if it was flawed.

Geoffrey Hinton, a computer scientist often called ‘the godfather of AI,’ is a leading figure in neural networks; studies inspired by the way neurons are connected in the human brain. A New Yorker magazine piece describes his collaborative work in the 1960s and 1970s developing neural nets that couldn’t do anything better than a child. The technology suddenly improved about a decade ago with the large increase in processing speed and Internet data availability.

According to Google Scholar, Hinton is the second most cited researcher among psychologists and the most cited among computer and cognitive scientists.

Hinton has been worried about the potential of AI to do harm and he often talks about the existential threat that AI might pose to the human species. He has used OpenAI’s ChatGPT and this has made him uneasy. He wrote “Fox News is an oxymoron” asking ChatGPT to explain the joke. (Initial reading of this caused me to ponder – a moron full of oxygen??) The first reply told him that this implied Fox News was fake news. When he called attention to the space between oxy and moron, it explained that Fox News was addictive, like the drug OxyContin. To him, this level of understanding represents a new era in AI.

In nature, wildlife learns how to be intelligent without access to concepts expressed in words. They learn to be smart (survive) through experience. Learning, not knowledge, is the engine of intelligence. There is no use trying to explain complicated ideas that you do not understand. First, you must understand how something works. Otherwise, you just produce nonsense.

Because neural networks are so strange, no one can predict how useful – or dangerous – AI will become. OpenAI’s GPT models involve billions of artificial neurons (data) which are profoundly different than biological brains. They are not alive. Our intuitions tell us that nothing resident in a browser tab could really be thinking in the way we do.

Because a human brain can run on oatmeal, the world can support billions of brains, all different. Each brain can learn continuously, rather than being trained once, then pushed out into the world (ship it!).

If the brain dies, the knowledge dies. If a computer dies, load up another computer. Ten thousand neural nets can learn ten thousand different things at the same time and share what they have learned. This immortality (knowledge perpetuity) and replicability suggest we should be concerned about digital intelligence taking over from biological intelligence.

Current AI technology is talkative and intellectual. The problems of physical intuition will be the challenge of the next decade says Yann LeCun, a French computer scientist. A teenager can learn to drive a car in twenty hours of practice with little supervision. AI systems don’t come close to doing this – except self-driving cars – and they are over-engineered, requiring the mapping of whole cities, hundreds of engineers, and hundreds of thousands of hours of training.

And then there is the problem of what some researchers call AI ‘hallucination’, which Hinton names ‘confabulation.’ AI systems confabulate by making up plausible answers to questions that stump them. In the human mind, there is no boundary between just making it up and telling the truth. Telling the truth is just making it up correctly. ChatGPT’s ability to make things up is a flaw, but also a sign of its humanlike intelligence.

When Hinton began his research, no one thought the technology would succeed. When it started to succeed, no one thought it would succeed so quickly. He expects AI will contribute to many fields, but he fears what will happen when powerful people abuse it. Think autonomous weapons. Hinton warns that even benign autonomous systems could wreak havoc. Yann LeCun has said there is an idea that if a system is intelligent it is going to want to dominate. But the desire to dominate has nothing to do with intelligence – it has to do with testosterone.

Recently, Hinton did not sign a popular petition that called for at least a six-month pause in AI research.

“China is not going to stop development for six months.”

“So what should we do?”

“I don’t know. If this were like climate change where we either must stop burning carbon or find a way to remove carbon from the atmosphere, we know what the solution looks like. Here, with AI, it’s not like that.”

Think of the AI story in which our intuitions about the specialness of the human mind are being dislodged by thinking machines, or, having stolen fire, we risk being burned.

Are we fooling ourselves, being taken in by our own machines and the companies that hope to profit from them? By seeking to re-create the knowledge systems in our heads, have we seized the forbidden apple? Have we risked exile from our charmed world? But who would choose not to know how knowing works?

Related

FOLLOW US

Latest

From the Archives

What did Hinton, the renowned British-Canadian expert reveal about AI that caused widespread concern?

Exposed serious AI risks, shocking the tech world and affecting major company stocks.

What does Hinton warn could happen to AI if companies and regulators fail to implement effective rules and controls?

What future risk did Hinton warn about AI?

He has also warned about the potential for AI to be used to generate "fake news" and deepen inequality.

Title:

Content: Information Technology
The father of artificial intelligence urges governments to face its risks before disaster
Jeffrey Hinton, described as the father of artificial intelligence, on Wednesday urged governments to intervene to ensure that machines do not control society.
Hinton made headlines in May when he announced his resignation from Google to speak more freely about the dangers of artificial intelligence, shortly after the launch of ChatGPT, which captivated the world.
The artificial intelligence scientist, who is studying at the University of Toronto, spoke to a crowd at the Collagen Technology Conference in the Canadian city.
The conference attracted more than 30,000 startup founders, investors and tech workers, most of whom were eager to learn how to ride the wave of artificial intelligence rather than hear lessons about its risks or calls for governments to intervene.
“Before AI becomes smarter than us, I think the people who develop it should be encouraged to put a lot of effort into understanding how it can try to take control of us, ” Hinton said.
“Now there are 99 highly intelligent people trying to make AI better, and one very intelligent person trying to figure out how to stop it from taking control, and maybe we should be more balanced. ”
Hinton warned that the dangers of artificial intelligence must be taken seriously.
“I think it ’ s important for people to understand that this is not science fiction or just fear, ” he said, adding:“ It ’ s a real risk that we have to think about, and we have to figure out how to deal with it first. ”
Hinton expressed concern that AI would deepen inequality, as the vast gains from its productivity would go to the rich, not the workers.
“Wealth will not go to the people who work, it will make the rich richer, not the poor, and this is a very bad society, ” he said.
He also pointed to the danger of “fake news ” that can be created by robots such as ChatGPT, hoping to mark the content generated by artificial intelligence programs as central banks mark coins.
He stressed that it is important to “try, for example, to distinguish everything that is fake as fake, ” and said,“ I don ’ t know if we can do it technically or not. ”
“The Island Net ”

What does Hinton warn could happen to AI if companies and regulators fail to implement effective rules and controls?

What risks did Hinton associate with AI's rapid advancement?

Other experts, such as Denis Hassabis, have also expressed concerns about the rapid development of AI, with some predicting that AI could match human intelligence in as little as five years.

Title:

Content: Home » Tech » AI Could Match Human Intelligence In Five Years: Google DeepMind CEO
1-MIN READ

AI Could Match Human Intelligence In Five Years: Google DeepMind CEO

Curated By: Shaurya Sharma

News18.com

Last Updated: May 04, 2023, 11:18 IST

New Delhi, India

Experts believe A.I. could match humans very soon. (Representative image/Reuters)

Denis Hassabis, who is the CEO of DeepMind, a startup that was acquired by Google in 2014, has made a bold claim that AI could reach human-level cognition in as little as five years.

2023 is shaping up to be the year of Artificial Intelligence—generative AI chatbots like ChatGPT, Bing, and Google’s Bard are making headlines. Human jobs are at risk, with IBM halting hiring for 7,800 roles. And, the fear of AI surpassing human capabilities persists. Geoffrey Hinton, known as the ‘Godfather of AI,’ left Google citing concerns about its dangers. Despite the benefits that AI can bring, such as increased efficiency and productivity, the fear of AI outpacing humans and becoming too smart for its own good is a fear that has been discussed time and again.

Now, another Google executive, Denis Hassabis, who is the CEO of DeepMind, a startup that was acquired by Google in 2014, has made a bold claim that AI could reach human-level cognition in as little as five years.

Hassabis, speaking at Wall Street Journal’s Future of Everything Festival in New York City, said that the developments in the Artificial Intelligence space shouldn’t be slowed down. “I think we’ll have very capable, very general systems in the next few years,” and he doesn’t “see any reason why that progress is going to slow down. I think it may even accelerate.” He added, “So I think we could be just a few years, maybe within a decade away.”

According to Fortune, Google announced last month that it was merging its core A.I. research team with DeepMind, the startup founded by Demis Hassabis, who would become the CEO of the newly combined unit. Google had acquired DeepMind in 2014.

RELATED NEWS

In related news, Geoffrey Hinton, who’s touted to be the ‘Godfather of AI, quit Google to express his concerns. Hinton, who has won the Turing award, the computer science equivalent of the Nobel prize, has expressed concern that future versions of AI could pose a threat because they often learn unexpected behavior from the vast amounts of data they analyze. This is particularly troubling as AI systems might soon generate and run their own code, which could lead to truly autonomous weapons and killer robots becoming a reality.

Read all the Latest Tech News here

first published:May 04, 2023, 11:18 IST
last updated:May 04, 2023, 11:18 IST

Over 1,000 tech leaders, including Elon Musk and Yoshua Bengio, have signed a moratorium on AI development, citing concerns over its potential impact on academia and careers.

Title:

Content: The ‘Godfather of AI’ warns about potential dangers of the technology as he quits Google

British-Canadian computer scientist Geoffrey Hinton admits he has fears for the future of AI

In a Frankenstein-esque tale of maker and master, Geoffrey Hinton, 75, dubbed ‘the godfather of AI’, has left Google with a parting warning over the dangers of artificial intelligence.

In 2012, the British-Canadian computer scientist invented technology with two students at University of Toronto that would become the intellectual foundation for AI systems. Google purchased the rights to this neural network tech to the tune of $44 million, which also propelled Dr Hinton to receive the Turing Award in 2018, considered the Nobel Prize of computing.

Read More
The ultimate part-AI girl? One Tatler correspondent entrusts ChatGPT with her next assignment

ChatGPT’s the new It Girl in Town and now she’s got all the gossip, writes Dora Davies-Evitt in the April issue

Yet now, Dr Hinton has packed in the day job at Google to join a chorus of anxious experts demanding a rollback of AI research until more robust safety measures are designed and deployed. Dr Hinton told the BBC: ‘Right now, they’re not more intelligent than us, as far as I can tell. But I think they soon may be.’

While many look upon AI as a natural technological development akin to the internet that could lead to exciting breakthroughs for humanity, there are growing fears that AI is a Pandora’s box. Reflecting on the effects of his work, Dr Hinton said: ‘I console myself with the normal excuse: If I hadn’t done it, somebody would have,’ as he admitted, ‘it is hard to see how you can prevent the bad actors from using it for bad things.’

Read More
Cyber Society: Meet the NFT duo dominating the metaverse

Old Etonian digital artists Dominic Smith and Joe Carnell have caught the attention of Brooklyn Beckham, Steve Aoki and Jaden Smith

The scientist went on to warn that AI could be taught to ‘create sub-goals like “I need to get more power”’, and be harnessed by nefarious actors to wreak havoc. With innovation driven forward by the unstoppable competition between behemoths like Google and Microsoft, Dr Hinton warned innovation will only increase exponentially in the coming years.

There are those who are trying to apply the brakes to this runaway train. In March, an open letter was signed by over 1,000 tech leaders and researchers, including Elon Musk and fellow Turing Award winner Yoshu Bengio, calling for a six-month moratorium on AI development. A few days later, 19 leaders of the Association for the Advancement of Artificial Intelligence released their own letter on the risks of AI. The signatures included that of Eric Horvitz, chief scientific officer at Microsoft.

The main outcry over AI lies in its ability to create and disseminate false news and images, which the public may find increasingly hard to identify. AI also poses a threat to academia and careers (see: Tatler’s foray into the world of ChatGPT). Dr Hinton believes that AI will fundamentally disrupt the workplace and take over the ‘drudge work’.

Read More
Lady Meta: my stratospheric rise through the metaverse

The Crypto Fashion Week debutante on becoming VR’s favourite It Girl

However Google’s chief scientist, Jeff Dean, offered words of comfort, adding: 'We remain committed to a responsible approach to AI. We’re continually learning to understand emerging risks while also innovating boldly.’

Hinton's resignation from Google and his subsequent warnings have highlighted the need for careful management and regulation of AI development to prevent potential dangers.

Title:

Content: AI Godfather: Regret the development of AI caused the spread of false information
International 2023 / 05 / 03
Share:
Share:
AI expert Geoffrey Hinton, known as the "godfather of artificial intelligence (AI)", confirmed that he left Google last week, and confessed to regret the work of developing AI, worried that AI will cause a flood of false information, warning that AI may become smarter than humans.
It's...
Follow the latest financial news analysis, like hket Facebook

What did Hinton, the renowned British-Canadian expert reveal about AI that caused widespread concern?

Exposed serious AI risks, shocking the tech world and affecting major company stocks.

What does Hinton warn could happen to AI if companies and regulators fail to implement effective rules and controls?

Becomes uncontrollable
Poses ethical risks

What risks did the global summit report highlight about AI?

Creating malicious software for cyberattacks, potentially posing an existential threat if humans lose control.

Why did Hinton leave Google when he helped develop AI but later grew concerned about its dangers?

Overall, Hinton's warnings and concerns about AI should be taken seriously, given his expertise and experience in the field.

What did Hinton, the renowned British-Canadian expert reveal about AI that caused widespread concern?

Exposed serious AI risks, shocking the tech world and affecting major company stocks.

What does Hinton warn could happen to AI if companies and regulators fail to implement effective rules and controls?


Geoffrey Hinton is known as the "godfather of artificial intelligence" due to his significant contributions to the field of artificial intelligence, particularly in the development of neural networks and deep learning.

He is a cognitive psychologist and computer scientist who has pioneered research in neural networks and deep learning, enabling current AI systems like Bard and ChatGPT.

Hinton's work has paved the way for modern AI systems, and he is widely recognized as one of the most influential figures in the field of artificial intelligence.

In 2023, Hinton resigned from Google, citing concerns about the potential dangers of AI if not carefully managed.

This move was significant, as Hinton had been a key figure in the development of AI at Google, and his resignation sparked widespread concern about the potential risks of AI.

Hinton's warnings about the potential dangers of AI were not limited to his resignation from Google, as he had been speaking out about the risks of AI for some time.

He has warned that AI could surpass human intelligence and be misused, posing a significant threat to humanity.

Hinton has also expressed concern about the potential impact of AI on elections and wars, and has urged governments to intervene in AI development to prevent these risks.

In addition to his warnings about the potential dangers of AI, Hinton has also regretted his life's work, stating that he is wary of AI dangers and fears that AI may become more intelligent than humans.

Hinton's concerns about AI are not limited to its potential to surpass human intelligence, but also include its potential to deepen inequality and generate "fake news".

He has also warned about the potential for AI to be used in autonomous weapons and killer robots, which could have devastating consequences.

Hinton's warnings have been echoed by other experts in the field, including Denis Hassabis, the CEO of DeepMind, who has stated that AI could match human intelligence in as little as five years.

However, not all experts share Hinton's concerns, as Yann LeCun has stated that the next decade's challenge is physical intuition in AI, rather than the potential dangers of AI.

Despite these differing opinions, Hinton's warnings have sparked a significant debate about the potential risks and benefits of AI, and have highlighted the need for careful management and regulation of AI development.

In response to Hinton's concerns, over 1,000 tech leaders, including Elon Musk, signed a letter calling for a moratorium on AI development, citing the potential risks of AI.

Google's chief scientist has also committed to a responsible AI approach, acknowledging the potential risks of AI and the need for careful management.

Hinton's warnings have also sparked concerns about the potential impact of AI on the workplace and academia, as AI has the potential to disrupt these areas and replace human workers.

In 2018, Hinton won the Turing Award, which is considered the Nobel Prize of computer science, for his contributions to deep learning.

He developed the backpropagation technique in the 1980s, which is a key component of neural networks.

Hinton also pioneered artificial neural networks at the University of Edinburgh in 1972, and has been recognized as the second most cited researcher among psychologists and the most cited researcher among computer and cognitive scientists.

Hinton's work on neural networks has enabled the development of AI systems like GPT-4, which is 100 times more knowledgeable than any human.

However, Hinton has also warned that AI systems like ChatGPT can confabulate, or make up plausible answers to questions, which could have significant consequences.

Overall, Geoffrey Hinton's warnings about the potential dangers of AI have highlighted the need for careful management and regulation of AI development, and have sparked a significant debate about the potential risks and benefits of AI.

Hinton's contributions to the field of artificial intelligence have been significant, and his warnings about the potential dangers of AI should be taken seriously.

As the "godfather of artificial intelligence", Hinton's opinions and warnings carry significant weight, and his concerns about the potential risks of AI should be carefully considered.

In conclusion, Geoffrey Hinton's resignation from Google in 2023 and his warnings about the potential dangers of AI have sparked a significant debate about the potential risks and benefits of AI, and have highlighted the need for careful management and regulation of AI development.

Geoffrey Hinton is known as the "godfather of artificial intelligence" due to his significant contributions to the field of artificial intelligence, particularly in the development of neural networks and deep learning.

Title:

Content: AI ’ s “godfather ” interviewed by the BBC, warning that artificial intelligence may be smarter than humans
AI ’ s “godfather ” interviewed by the BBC, warning that artificial intelligence may be smarter than humans
Geoffrey Hinton, known as the “godfather ” of artificial intelligence (AI), has resigned from Google.
He warned that developments in the field of artificial intelligence pose increasing dangers.
In a statement to The New York Times, Dr. Hinton said he regretted his current job.
Dr. Hinton ’ s pioneering research in neural networks and deep learning paves the way for current AI systems such as Google ’ s Bard chatbot and Microsoft ’ s ChatGPT.
The cognitive psychologist and computer scientist told the BBC that chatbots may soon be smarter than humans.

What breakthroughs has Hinton achieved through his 40+ years of work on artificial neural networks?

Breakthroughs that mimic biological brains

He is a cognitive psychologist and computer scientist who has pioneered research in neural networks and deep learning, enabling current AI systems like Bard and ChatGPT.

What breakthroughs has Hinton achieved through his 40+ years of work on artificial neural networks?

Breakthroughs that mimic biological brains

Which AI system demonstrates the foundation laid by Hinton's pioneering research in deep learning and neural networks?

Hinton's work has paved the way for modern AI systems, and he is widely recognized as one of the most influential figures in the field of artificial intelligence.

In 2023, Hinton resigned from Google, citing concerns about the potential dangers of AI if not carefully managed.

What did Hinton, the renowned British-Canadian expert reveal about AI that caused widespread concern?

Exposed serious AI risks, shocking the tech world and affecting major company stocks.

What does Hinton warn could happen to AI if companies and regulators fail to implement effective rules and controls?

Becomes uncontrollable
Poses ethical risks

This move was significant, as Hinton had been a key figure in the development of AI at Google, and his resignation sparked widespread concern about the potential risks of AI.

Title:

Content: Geoffrey Hinton: GPT-4 is 100 times more knowledgeable than any human
Author: MIAO Yongqi
Published: Updated:
Computer scientist Geoffrey Hinton, known as the "godfather of artificial intelligence", announced Monday that he has resigned from Google. He has devoted his life to developing artificial intelligence systems, saying he "regrets his life's work" and is wary of the potential dangers of AI development.
In another recent interview, Hinton further talked about why he is afraid of AI development.
Hinton, 75, left Google a few days after the news broke in an interview with MIT Technology Review senior editor Will Douglas Heaven.
Hinton points out that the new generation of AI language models, especially the GPT-4, which came out in March, made him realize that these machines were moving in a direction that was much smarter than he thought, and he was afraid of these developments.
He is best known for a technique he proposed in the 1980s (with two colleagues) called backpropagation.
In short, the algorithms that allow machines to learn support almost all of today ’ s artificial neural networks, from computer vision systems to large language models.
It wasn ’ t until the 2010s that Hinton and his two recent graduates developed a “neural network ” that demonstrated its power, stronger than any computer ’ s ability to identify objects in images, and trained it to predict the next letter of a sentence, a precursor to today ’ s large-scale language patterns.
One of the students was Ilya Sutskever, the founder of OpenAI, who led the development of ChatGPT.
“We first thought it might be great. ”“ But it ’ s going to take a long time to realize that it needs to be done on a large scale to get good results. ”
In the 1980s, the discussion of “neural networks ” was considered a joke.
But Hinton doesn ’ t think so, and is working on this, software that mimics the abstract human brain and uses code as a connection between neurons. For 40 years, Hinton has viewed artificial neural networks as a clumsy attempt to mimic biological neural networks.
Now he thinks things have changed: he thinks there are better results when trying to mimic the behavior of the biological brain.
“It ’ s scary when you see it with your own eyes, ” he said.“ It ’ s a sudden change. ”
So why did ChatGPT surprise Hinton, too? He explained that the human brain has about 100 trillion connections, and “large language models have up to 500 billion, up to a trillion. ”
However, the knowledge of GPT-4 is a hundred times greater than that of any human.
So maybe it actually has a better learning algorithm than we do. "
He also pointed out that apart from the ability to learn, the ability to communicate is another kind of point.
“If you or I learn a new thing and want to teach it to another person, we can ’ t just send them a copy. ”
But artificial neural networks can do it.
It ’ s like there are 10,000 people here, and when one person learns a new thing, the other 9,999 people all learn it at the same time.
Hinton now believes that there are two types of intelligence: animal brains and artificial neural networks.
“It ’ s a completely different kind of intelligence.
“A new, better intelligence. ” Hinton believes that whether superintelligence is good or bad depends largely on whether you ’ re an optimist or a pessimist, and he says,“ mildly depressed, ” “that ’ s why I ’ m afraid. ”
“Whether these things are going to be smarter than us, I suddenly changed my mind. ”
I think they are very close to us now and they will be much smarter than us in the future, ” he said.
“How do we survive? ” he is particularly worried that people will use the tools he has developed to change the trajectory of human life, including elections and wars.
He said that he hopes to continue talking about AI security after leaving office and spend more time on “more philosophical work ”.“ As long as I ’ m still employed at Google, I can ’ t say what I want to say, ” he said. “I have a lot of good things to say about Google, and it would be more convincing if I wasn ’ t at Google. ”
Who is the godfather of AI computer scientist Geoffrey Hinton?
Hinton pioneered the basic technology of AI systems and became interested in artificial neural networks when he was a graduate student at the University of Edinburgh in 1972. In 2018, he and two experts in the field of deep learning were awarded the Turing Award, known as the “Nobel Prize in Computing ”.
What are the main concerns of “AI Godfather ” Geoffrey Hinton about the development of artificial intelligence?
He believes that the most direct impact is to promote the dissemination of false information and the loss of employment opportunities, and also worries about the use of this tool for evil, such as influencing elections and using it in war.

What did Hinton, the renowned British-Canadian expert reveal about AI that caused widespread concern?

Exposed serious AI risks, shocking the tech world and affecting major company stocks.

Hinton's warnings about the potential dangers of AI were not limited to his resignation from Google, as he had been speaking out about the risks of AI for some time.

Title:

Content: Wednesday, December 13, 2023
Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors

John Riopelle — obituary

Riopelle, John William It is with great sadness...

A.I. doesn’t bleed

by John Clinton, Ramsay New knowledge merges with...

Breakfast at the Legion, December 16

At the Almonte Legion Sat. December 16 Eggs to...
Science & NatureA.I. doesn't bleed

A.I. doesn’t bleed

by John Clinton, Ramsay

New knowledge merges with old; what you know shapes what you learn. Artificial neural networks have been studied and computer algorithms have been generated to understand how artificial, computer-generated, neurons, would store a concept, and how it would revise that concept if it was flawed.

Geoffrey Hinton, a computer scientist often called ‘the godfather of AI,’ is a leading figure in neural networks; studies inspired by the way neurons are connected in the human brain. A New Yorker magazine piece describes his collaborative work in the 1960s and 1970s developing neural nets that couldn’t do anything better than a child. The technology suddenly improved about a decade ago with the large increase in processing speed and Internet data availability.

According to Google Scholar, Hinton is the second most cited researcher among psychologists and the most cited among computer and cognitive scientists.

Hinton has been worried about the potential of AI to do harm and he often talks about the existential threat that AI might pose to the human species. He has used OpenAI’s ChatGPT and this has made him uneasy. He wrote “Fox News is an oxymoron” asking ChatGPT to explain the joke. (Initial reading of this caused me to ponder – a moron full of oxygen??) The first reply told him that this implied Fox News was fake news. When he called attention to the space between oxy and moron, it explained that Fox News was addictive, like the drug OxyContin. To him, this level of understanding represents a new era in AI.

In nature, wildlife learns how to be intelligent without access to concepts expressed in words. They learn to be smart (survive) through experience. Learning, not knowledge, is the engine of intelligence. There is no use trying to explain complicated ideas that you do not understand. First, you must understand how something works. Otherwise, you just produce nonsense.

Because neural networks are so strange, no one can predict how useful – or dangerous – AI will become. OpenAI’s GPT models involve billions of artificial neurons (data) which are profoundly different than biological brains. They are not alive. Our intuitions tell us that nothing resident in a browser tab could really be thinking in the way we do.

Because a human brain can run on oatmeal, the world can support billions of brains, all different. Each brain can learn continuously, rather than being trained once, then pushed out into the world (ship it!).

If the brain dies, the knowledge dies. If a computer dies, load up another computer. Ten thousand neural nets can learn ten thousand different things at the same time and share what they have learned. This immortality (knowledge perpetuity) and replicability suggest we should be concerned about digital intelligence taking over from biological intelligence.

Current AI technology is talkative and intellectual. The problems of physical intuition will be the challenge of the next decade says Yann LeCun, a French computer scientist. A teenager can learn to drive a car in twenty hours of practice with little supervision. AI systems don’t come close to doing this – except self-driving cars – and they are over-engineered, requiring the mapping of whole cities, hundreds of engineers, and hundreds of thousands of hours of training.

And then there is the problem of what some researchers call AI ‘hallucination’, which Hinton names ‘confabulation.’ AI systems confabulate by making up plausible answers to questions that stump them. In the human mind, there is no boundary between just making it up and telling the truth. Telling the truth is just making it up correctly. ChatGPT’s ability to make things up is a flaw, but also a sign of its humanlike intelligence.

When Hinton began his research, no one thought the technology would succeed. When it started to succeed, no one thought it would succeed so quickly. He expects AI will contribute to many fields, but he fears what will happen when powerful people abuse it. Think autonomous weapons. Hinton warns that even benign autonomous systems could wreak havoc. Yann LeCun has said there is an idea that if a system is intelligent it is going to want to dominate. But the desire to dominate has nothing to do with intelligence – it has to do with testosterone.

Recently, Hinton did not sign a popular petition that called for at least a six-month pause in AI research.

“China is not going to stop development for six months.”

“So what should we do?”

“I don’t know. If this were like climate change where we either must stop burning carbon or find a way to remove carbon from the atmosphere, we know what the solution looks like. Here, with AI, it’s not like that.”

Think of the AI story in which our intuitions about the specialness of the human mind are being dislodged by thinking machines, or, having stolen fire, we risk being burned.

Are we fooling ourselves, being taken in by our own machines and the companies that hope to profit from them? By seeking to re-create the knowledge systems in our heads, have we seized the forbidden apple? Have we risked exile from our charmed world? But who would choose not to know how knowing works?

Related

FOLLOW US

Latest

From the Archives

What did Hinton, the renowned British-Canadian expert reveal about AI that caused widespread concern?

Exposed serious AI risks, shocking the tech world and affecting major company stocks.

Why did Hinton leave Google when he helped develop AI but later grew concerned about its dangers?

He has warned that AI could surpass human intelligence and be misused, posing a significant threat to humanity.

What did Hinton, the renowned British-Canadian expert reveal about AI that caused widespread concern?

Exposed serious AI risks, shocking the tech world and affecting major company stocks.

What did Sam Altman admit about ChatGPT and the potential risks of AI?

Advanced AI could pose an existential risk to humanity.

What does Hinton warn could happen to AI if companies and regulators fail to implement effective rules and controls?

Becomes uncontrollable
Poses ethical risks

What future risk did Hinton warn about AI?

What risks did the global summit report highlight about AI?

Creating malicious software for cyberattacks, potentially posing an existential threat if humans lose control.

Hinton has also expressed concern about the potential impact of AI on elections and wars, and has urged governments to intervene in AI development to prevent these risks.

Title:

Content: Information Technology
The father of artificial intelligence urges governments to face its risks before disaster
Jeffrey Hinton, described as the father of artificial intelligence, on Wednesday urged governments to intervene to ensure that machines do not control society.
Hinton made headlines in May when he announced his resignation from Google to speak more freely about the dangers of artificial intelligence, shortly after the launch of ChatGPT, which captivated the world.
The artificial intelligence scientist, who is studying at the University of Toronto, spoke to a crowd at the Collagen Technology Conference in the Canadian city.
The conference attracted more than 30,000 startup founders, investors and tech workers, most of whom were eager to learn how to ride the wave of artificial intelligence rather than hear lessons about its risks or calls for governments to intervene.
“Before AI becomes smarter than us, I think the people who develop it should be encouraged to put a lot of effort into understanding how it can try to take control of us, ” Hinton said.
“Now there are 99 highly intelligent people trying to make AI better, and one very intelligent person trying to figure out how to stop it from taking control, and maybe we should be more balanced. ”
Hinton warned that the dangers of artificial intelligence must be taken seriously.
“I think it ’ s important for people to understand that this is not science fiction or just fear, ” he said, adding:“ It ’ s a real risk that we have to think about, and we have to figure out how to deal with it first. ”
Hinton expressed concern that AI would deepen inequality, as the vast gains from its productivity would go to the rich, not the workers.
“Wealth will not go to the people who work, it will make the rich richer, not the poor, and this is a very bad society, ” he said.
He also pointed to the danger of “fake news ” that can be created by robots such as ChatGPT, hoping to mark the content generated by artificial intelligence programs as central banks mark coins.
He stressed that it is important to “try, for example, to distinguish everything that is fake as fake, ” and said,“ I don ’ t know if we can do it technically or not. ”
“The Island Net ”

What did Hinton, the renowned British-Canadian expert reveal about AI that caused widespread concern?

Exposed serious AI risks, shocking the tech world and affecting major company stocks.

What does Hinton warn "bad actors" could use AI for?

To win wars or manipulate the electorate.

What does Hinton warn could happen to AI if companies and regulators fail to implement effective rules and controls?

What risks did Hinton associate with AI's rapid advancement?

What severe risks did the March 2024 report warn about advanced AI models?

In addition to his warnings about the potential dangers of AI, Hinton has also regretted his life's work, stating that he is wary of AI dangers and fears that AI may become more intelligent than humans.

What did Hinton, the renowned British-Canadian expert reveal about AI that caused widespread concern?

Exposed serious AI risks, shocking the tech world and affecting major company stocks.

What does Hinton warn could happen to AI if companies and regulators fail to implement effective rules and controls?

What future risk did Hinton warn about AI?

Hinton's concerns about AI are not limited to its potential to surpass human intelligence, but also include its potential to deepen inequality and generate "fake news".

What does Hinton warn could happen to AI if companies and regulators fail to implement effective rules and controls?

What risks did Hinton associate with AI's rapid advancement?

He has also warned about the potential for AI to be used in autonomous weapons and killer robots, which could have devastating consequences.

Title:

Content: Home » Tech » AI Could Match Human Intelligence In Five Years: Google DeepMind CEO
1-MIN READ

AI Could Match Human Intelligence In Five Years: Google DeepMind CEO

Curated By: Shaurya Sharma

News18.com

Last Updated: May 04, 2023, 11:18 IST

New Delhi, India

Experts believe A.I. could match humans very soon. (Representative image/Reuters)

Denis Hassabis, who is the CEO of DeepMind, a startup that was acquired by Google in 2014, has made a bold claim that AI could reach human-level cognition in as little as five years.

2023 is shaping up to be the year of Artificial Intelligence—generative AI chatbots like ChatGPT, Bing, and Google’s Bard are making headlines. Human jobs are at risk, with IBM halting hiring for 7,800 roles. And, the fear of AI surpassing human capabilities persists. Geoffrey Hinton, known as the ‘Godfather of AI,’ left Google citing concerns about its dangers. Despite the benefits that AI can bring, such as increased efficiency and productivity, the fear of AI outpacing humans and becoming too smart for its own good is a fear that has been discussed time and again.

Now, another Google executive, Denis Hassabis, who is the CEO of DeepMind, a startup that was acquired by Google in 2014, has made a bold claim that AI could reach human-level cognition in as little as five years.

Hassabis, speaking at Wall Street Journal’s Future of Everything Festival in New York City, said that the developments in the Artificial Intelligence space shouldn’t be slowed down. “I think we’ll have very capable, very general systems in the next few years,” and he doesn’t “see any reason why that progress is going to slow down. I think it may even accelerate.” He added, “So I think we could be just a few years, maybe within a decade away.”

According to Fortune, Google announced last month that it was merging its core A.I. research team with DeepMind, the startup founded by Demis Hassabis, who would become the CEO of the newly combined unit. Google had acquired DeepMind in 2014.

RELATED NEWS

In related news, Geoffrey Hinton, who’s touted to be the ‘Godfather of AI, quit Google to express his concerns. Hinton, who has won the Turing award, the computer science equivalent of the Nobel prize, has expressed concern that future versions of AI could pose a threat because they often learn unexpected behavior from the vast amounts of data they analyze. This is particularly troubling as AI systems might soon generate and run their own code, which could lead to truly autonomous weapons and killer robots becoming a reality.

Read all the Latest Tech News here

first published:May 04, 2023, 11:18 IST
last updated:May 04, 2023, 11:18 IST

What did Hinton, the renowned British-Canadian expert reveal about AI that caused widespread concern?

Exposed serious AI risks, shocking the tech world and affecting major company stocks.

What did Sam Altman admit about ChatGPT and the potential risks of AI?

Advanced AI could pose an existential risk to humanity.

What does Hinton warn could happen to AI if companies and regulators fail to implement effective rules and controls?

What dual impact did Hinton note AI could have in his 2021 speech?

What risks did Hinton associate with AI's rapid advancement?

What severe risks did the March 2024 report warn about advanced AI models?

Development of uncontrollable human-targeting weapons

Hinton's warnings have been echoed by other experts in the field, including Denis Hassabis, the CEO of DeepMind, who has stated that AI could match human intelligence in as little as five years.

However, not all experts share Hinton's concerns, as Yann LeCun has stated that the next decade's challenge is physical intuition in AI, rather than the potential dangers of AI.

Despite these differing opinions, Hinton's warnings have sparked a significant debate about the potential risks and benefits of AI, and have highlighted the need for careful management and regulation of AI development.

Title:

Content: The ‘Godfather of AI’ warns about potential dangers of the technology as he quits Google

British-Canadian computer scientist Geoffrey Hinton admits he has fears for the future of AI

In a Frankenstein-esque tale of maker and master, Geoffrey Hinton, 75, dubbed ‘the godfather of AI’, has left Google with a parting warning over the dangers of artificial intelligence.

In 2012, the British-Canadian computer scientist invented technology with two students at University of Toronto that would become the intellectual foundation for AI systems. Google purchased the rights to this neural network tech to the tune of $44 million, which also propelled Dr Hinton to receive the Turing Award in 2018, considered the Nobel Prize of computing.

Read More
The ultimate part-AI girl? One Tatler correspondent entrusts ChatGPT with her next assignment

ChatGPT’s the new It Girl in Town and now she’s got all the gossip, writes Dora Davies-Evitt in the April issue

Yet now, Dr Hinton has packed in the day job at Google to join a chorus of anxious experts demanding a rollback of AI research until more robust safety measures are designed and deployed. Dr Hinton told the BBC: ‘Right now, they’re not more intelligent than us, as far as I can tell. But I think they soon may be.’

While many look upon AI as a natural technological development akin to the internet that could lead to exciting breakthroughs for humanity, there are growing fears that AI is a Pandora’s box. Reflecting on the effects of his work, Dr Hinton said: ‘I console myself with the normal excuse: If I hadn’t done it, somebody would have,’ as he admitted, ‘it is hard to see how you can prevent the bad actors from using it for bad things.’

Read More
Cyber Society: Meet the NFT duo dominating the metaverse

Old Etonian digital artists Dominic Smith and Joe Carnell have caught the attention of Brooklyn Beckham, Steve Aoki and Jaden Smith

The scientist went on to warn that AI could be taught to ‘create sub-goals like “I need to get more power”’, and be harnessed by nefarious actors to wreak havoc. With innovation driven forward by the unstoppable competition between behemoths like Google and Microsoft, Dr Hinton warned innovation will only increase exponentially in the coming years.

There are those who are trying to apply the brakes to this runaway train. In March, an open letter was signed by over 1,000 tech leaders and researchers, including Elon Musk and fellow Turing Award winner Yoshu Bengio, calling for a six-month moratorium on AI development. A few days later, 19 leaders of the Association for the Advancement of Artificial Intelligence released their own letter on the risks of AI. The signatures included that of Eric Horvitz, chief scientific officer at Microsoft.

The main outcry over AI lies in its ability to create and disseminate false news and images, which the public may find increasingly hard to identify. AI also poses a threat to academia and careers (see: Tatler’s foray into the world of ChatGPT). Dr Hinton believes that AI will fundamentally disrupt the workplace and take over the ‘drudge work’.

Read More
Lady Meta: my stratospheric rise through the metaverse

The Crypto Fashion Week debutante on becoming VR’s favourite It Girl

However Google’s chief scientist, Jeff Dean, offered words of comfort, adding: 'We remain committed to a responsible approach to AI. We’re continually learning to understand emerging risks while also innovating boldly.’

What did Hinton, the renowned British-Canadian expert reveal about AI that caused widespread concern?

Exposed serious AI risks, shocking the tech world and affecting major company stocks.

What does Hinton warn could happen to AI if companies and regulators fail to implement effective rules and controls?

In response to Hinton's concerns, over 1,000 tech leaders, including Elon Musk, signed a letter calling for a moratorium on AI development, citing the potential risks of AI.

What did Hinton, the renowned British-Canadian expert reveal about AI that caused widespread concern?

Exposed serious AI risks, shocking the tech world and affecting major company stocks.

What does Hinton warn could happen to AI if companies and regulators fail to implement effective rules and controls?

Google's chief scientist has also committed to a responsible AI approach, acknowledging the potential risks of AI and the need for careful management.

What does Hinton warn could happen to AI if companies and regulators fail to implement effective rules and controls?

Hinton's warnings have also sparked concerns about the potential impact of AI on the workplace and academia, as AI has the potential to disrupt these areas and replace human workers.

What risks did Hinton associate with AI's rapid advancement?

In 2018, Hinton won the Turing Award, which is considered the Nobel Prize of computer science, for his contributions to deep learning.

Which prestigious award did Hinton receive in 2018 for his work on neural networks?

He developed the backpropagation technique in the 1980s, which is a key component of neural networks.

Which 1986 paper by Hinton became foundational for modern neural networks?

Hinton also pioneered artificial neural networks at the University of Edinburgh in 1972, and has been recognized as the second most cited researcher among psychologists and the most cited researcher among computer and cognitive scientists.

Hinton's work on neural networks has enabled the development of AI systems like GPT-4, which is 100 times more knowledgeable than any human.

What future risk did Hinton warn about AI?

However, Hinton has also warned that AI systems like ChatGPT can confabulate, or make up plausible answers to questions, which could have significant consequences.

What did Hinton, the renowned British-Canadian expert reveal about AI that caused widespread concern?

Exposed serious AI risks, shocking the tech world and affecting major company stocks.

What does Hinton warn could happen to AI if companies and regulators fail to implement effective rules and controls?

What is the AI problem called confabulation, according to Hinton?

It's when AI makes up plausible answers to questions it can't answer.

What risks did Hinton associate with AI's rapid advancement?

Overall, Geoffrey Hinton's warnings about the potential dangers of AI have highlighted the need for careful management and regulation of AI development, and have sparked a significant debate about the potential risks and benefits of AI.

What did Hinton, the renowned British-Canadian expert reveal about AI that caused widespread concern?

Exposed serious AI risks, shocking the tech world and affecting major company stocks.

What does Hinton warn could happen to AI if companies and regulators fail to implement effective rules and controls?

Becomes uncontrollable
Poses ethical risks

Hinton's contributions to the field of artificial intelligence have been significant, and his warnings about the potential dangers of AI should be taken seriously.

What did Hinton, the renowned British-Canadian expert reveal about AI that caused widespread concern?

Exposed serious AI risks, shocking the tech world and affecting major company stocks.

What does Hinton warn could happen to AI if companies and regulators fail to implement effective rules and controls?

As the "godfather of artificial intelligence", Hinton's opinions and warnings carry significant weight, and his concerns about the potential risks of AI should be carefully considered.

What did Hinton, the renowned British-Canadian expert reveal about AI that caused widespread concern?

Exposed serious AI risks, shocking the tech world and affecting major company stocks.

What does Hinton warn could happen to AI if companies and regulators fail to implement effective rules and controls?

In conclusion, Geoffrey Hinton's resignation from Google in 2023 and his warnings about the potential dangers of AI have sparked a significant debate about the potential risks and benefits of AI, and have highlighted the need for careful management and regulation of AI development.

What did Hinton, the renowned British-Canadian expert reveal about AI that caused widespread concern?

Exposed serious AI risks, shocking the tech world and affecting major company stocks.

What does Hinton warn could happen to AI if companies and regulators fail to implement effective rules and controls?

Becomes uncontrollable
Poses ethical risks

Why did Hinton leave Google when he helped develop AI but later grew concerned about its dangers?