Geoffrey Hinton is known as the "godfather of artificial intelligence".

He is a Canadian scientist researching artificial intelligence since the 1970s.

Hinton's research focuses on mimicking the human brain on computers.

He created a neural network that recognizes common things in photos, a major artificial intelligence breakthrough.

Hinton founded DNNresearch, which Google acquired for $44 million, and he joined Google as Vice President and Engineering Researcher to work on Google Brain.

He won the A.M. Turing Award in 2018 for neural networks and deep learning.

Hinton's work has laid the foundation for generative AI like ChatGPT and Google's Bard.

He believes AI poses an existential threat to humans, more urgent than climate change, if not regulated.

Hinton suggests regulating AI due to concerns over its impact on employment and misinformation.

He has warned that machines will outperform humans in nearly 50 years, creating a world of unreality.

Hinton resigned from Google to freely discuss AI risks.

At 75, he feels it's time to retire, but believes raising awareness about AI's dangers is essential.

He fears AI will spread misinformation and replace human workers.

Elon Musk and other experts have echoed Hinton's concerns about AI development.

The public should be aware that AI development poses risks, including job displacement and misinformation, which researchers are working to address.

AI literacy and critical thinking are crucial for responsible AI interaction.

Education promotes AI literacy and critical thinking, and ethical guidelines are essential for responsible AI deployment.

The European Union regulates AI systems based on risk levels.

High-risk AI systems must be rigorously tested, overseen by humans, and designed to uphold privacy and data protection rights.

Hinton's warnings about AI dangers highlight the need for careful regulation and prioritizing safety in AI research.

Geoffrey Hinton is known as the "godfather of artificial intelligence".

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Content: Global News
The world today - the "godfather" of artificial intelligence reveals why he left Google
You are now following the news of the "godfather" of artificial intelligence reveals the reason for his departure from "Google" from the Department of World News and now we leave you with the full details
MOHAMMED, Abu Dhabi, May 2, 2023 06: 22 AM - Jeffrey Hinton, nicknamed "the father of artificial intelligence", revealed on Monday that he quit his job at Google last week, in order to speak publicly about the "dangers" of the technology he helped develop.
Hinton ’ s work on neural networks has shaped artificial intelligence systems that power many of today ’ s technology products.
Hinton, who worked part-time at Google for a decade, contributed to the tech giant ’ s AI development efforts, but has since had concerns about the technology and its role in its development.
In an interview with The New York Times, Hinton said, “I consolate myself with the common excuse: if I hadn ’ t done it, someone else would have done it. ”
Hinton attributed his decision to leave Google to his desire to speak freely about the dangers of artificial intelligence, not to criticize the company, as he tweeted on Monday.
Google ’ s chief scientist, Jeff Dean, commented on Hinton ’ s decision: “He has made major breakthroughs in artificial intelligence, ” expressing appreciation for“ a decade of contributions to Google. ”
In a statement to CNN, Dean said: “We remain committed to a responsible approach to artificial intelligence.
We are constantly learning to understand emerging risks while boldly innovating. ”
Hinton ’ s decision to want to expose his concerns about artificial intelligence came as a growing number of lawmakers and groups raised warnings about the possibility of a new set of chatbots spreading fake information and eliminating a slew of jobs.
Hinton is not the first Google employee to alert to the dangers of artificial intelligence: in July, the company fired an engineer who claimed that an undisclosed intelligence system had become conscious, while many in the technical field strongly refused to confirm what the engineer said.
We hope that we have succeeded in conveying the full details of the news of the "spiritual father" of artificial intelligence reveals the reason for his departure from Google..
In God ’ s care and protection.
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He is a Canadian scientist researching artificial intelligence since the 1970s.

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The genie of artificial intelligence.
One of the Arab fairy tales says that a hunter launched a genie trapped in his bottle hundreds of years ago, and after he got out of control went on a search for tricks to return him to his prison in vain, and this is what is happening now with the world ’ s tech giants, who have moved from the race to dominate artificial intelligence systems to try to restrain this “monster ” that is moving faster than everyone expected.
This tremendous acceleration in the development of artificial intelligence systems since the end of 2022, appeared after the launch of the chat robot “Chat GBT ” for OpenEye with the support of Microsoft, to follow the search giant Google system rival named“ Bard ”, and infected other giants of technology such as Amazon and the engine “Yandex ” Russian and the readiness of Chinese companies such as the engine“ Baidu ” to launch similar robots.
The artificial intelligence systems that are being developed suggest that the world is coming to a stage where the science fiction films we ’ ve been watching on TV will become a reality and the machine will replace the human mind in managing everything.
This artificial intelligence relies on algorithms that allow the machine to learn on its own, by simulating neurons in the human body, the artificial neural networks that have been developed have the ability to learn in a generative way, extract basic characteristics from the data and make decisions.
What is strange about this feverish race between the giants of technology is that his godparents began a counter-campaign to warn him, and went so far as to consider him a danger to humanity, and some even went on to expect the extinction of the human race because of it, and that it matches the nuclear danger and deadly epidemics.
This prediction of humanity ’ s black future came not from ordinary observers or soothsayers, but from the Canadian scientist Jeffrey Hinton called the “godfather of artificial intelligence, ” who since the 1970s has been obsessed with how the human brain works and tries to imitate it on computers.
In recent years, Hinton ’ s research has made a breakthrough in artificial intelligence, so that one of his students was behind the launch of the famous chat robot “ChatGT ”, while he worked for years at“ Google ” and decided to resign months ago, and announced his “regret ” for the development of these programs, and his expectations that the machine will outperform man after nearly 50 years, but now he warns that the current race will make it a reality.
The diagnosis made by this scientist makes sense, given that the consequences of the widespread uncontrolled use of AI robots are visible, and there have been many cases around the world of the misuse of these programs.
Several universities have found cases of cheating using chatbots, and using them even to write books and research, and also imagine that there are those who ask “Chat JBT ” for example for fatwas on doctrinal issues, note that these programs do not differentiate during the provision of answers between publications for someone through networks and research in a book published by a famous scientist.
The widespread use of these robots in the coming years may even lead to the disintegration of societies due to the infusion of a large amount of inaccurate information and fake news, due to the common belief that what these platforms offer is objective truth, as well as the threat of science itself, because people in the past learn through observation and careful research and rely on logic and critical thinking.
There have also been concerns that machines will replace humans in future jobs and even create robotic armies and dispense with the human element in wars, and the concept of sovereignty that we know now has changed with the dominance of technology companies in the world.
This seems to be the point in the calls launched by the godfathers of artificial intelligence in America and the West to freeze its development until the establishment of controls, and that the logic of “monopoly ” is the main driver of this step, given that eastern countries such as China and Russia have taken parallel steps in this field.
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Hinton's research focuses on mimicking the human brain on computers.

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

Breakthroughs that mimic biological brains

He created a neural network that recognizes common things in photos, a major artificial intelligence breakthrough.

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12 / 05 / 2023
The White House ordered AI to be evaluated, and the European Union proposed legislation to regulate AI, teach AI to be human or the best solution!
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• Fang Zhanqi
Fang Zhanze
When I was a teenager, I studied Geographic Information System, but unfortunately I didn ’ t learn anything and I graduated with luck.
After adulthood, the accidental hit into the media circle, first and then in the print, electronic, online media to roll, slightly small.
After middle age, he completed a master ’ s degree in information technology and gradually expanded his horizons. He was determined to join a start-up company and explore different fields of technology.
In recent years, he has been actively engaged in data analysis and digital strategies, and has also been involved in the development of Location Intelligence projects. Sometimes, he can also take time to teach, not only to share what he has learned with others, but also to motivate himself to keep learning for life.
Tales of Wisdom City
Generative AI is definitely the hottest topic in the technology world today. After the popularity of ChatGPT, many companies rushed to launch similar products and gradually applied them to various industries.
But more and more people are worried that when AI is fully popularized, it will aggravate the problem of fake information flow, online fraud and other problems; even Sheffield Hinton, who is known as the "godfather of AI", is worried that AI will become too smart, afraid that it will evolve into a killer robot, which may eventually lead to the death of mankind!
How big can the negative impact of AI technology be?
How do governments around the world respond to the potential threat of AI?
Neural network is the foundation technology of ChatGPT
Fifty-one years ago, Geoffrey Hinton, who had not yet been called the “godfather of AI, ” entered the University of Edinburgh in Scotland as a graduate student and began research on artificial neural networks.
The so-called “artificial neural network ” is a mathematical model that mimics the structure and function of biological neural networks, especially the brain, and is able to learn skills by analyzing data.
This is the foundational technology behind OpenAI ChatGPT and Google Bard.
After Hinton resigned from Google, he did not have to worry about the harm his words would bring to Google, so he was interviewed by different media and said his heart: "AI may lead to the death of mankind." (Photo: University of Toronto official website)
In 2012, Hinton and his students, Ilya Sutskever and Alex Krishevsky, created a neural network system that analyzes thousands of photos and learns to recognize common things like flowers, dogs, cars, etc.
Subsequently, Hinton and two students founded DNNresearch, a startup based on this research project.
In 2013, Google acquired DNNresearch for US $44 million (approximately HK $343 million), and Hinton joined Google as Vice President and Engineering Researcher, responsible for some of the research work on Google Brain.
His protégé, Suzkville, left Google to co-found OpenAI with like-minded people, and became chief scientist, leading the research team to successfully develop the GPT model and ChatGPT.
Hinton ’ s top student, Suzkville, gave up his lucrative job at Google in 2015 to co-found OpenAI with Altman and others, and led the development of GPT and DALL-E models. (Image: University of Toronto website)
I regret working my whole life because I am worried about the dangers of AI.
In 2018, Hinton, along with University of Montreal professor Yoshua Bengio and Meta chief AI scientist Yann LeCun, won the A.M. Turing Award in recognition of their great contributions to neural networks and deep learning.
As a result, the three later became known as the “godfathers of AI ” or“ godfathers of deep learning. ”
Around the same time, Google and OpenAI began to build large-scale deep learning systems based on neural networks, which became the basis for future development of Bard and ChatGPT.
From this, it seems that Sinton plays an important role in creating the current glory of generative AI.
However, in the current era of AI, Sinton suddenly left Google in April 2023, shocking the entire AI industry.
Hinton explained that he left Google to talk freely about the potential risks of AI without harming Google.
Speaking about 50 years of research into neural networks, he said, “I ’ m very sorry about my life ’ s work. ”
The Internet will be filled with more and more fake AI-generated text, photos, and even videos, but the average person will not be able to tell the truth, Hinton said.
Moreover, sooner or later, AI technology will completely disrupt the job market, causing more and more jobs to disappear.
What is even more worrying is that at present, users can not only instruct ChatGPT to generate code, but also ask the AI to execute the code; in this way, the AI killer robots that often appear in science fiction movies will one day become a reality.
Is it not impossible for AI to destroy humanity?
Of course, this pessimistic future scenario is only a hypothetical one, but Hinton stressed that what could lead to it is already happening: a global race for AI technology has begun between Microsoft and Google, and even between China and the United States.
Most people think that the future of AI dominating everything is still far away, but he believes that AI may not take 30 to 50 years to control humans, and even find a way to kill humans, which may eventually lead to human extinction.
In the 1980s, Hinton was a professor of computer science at Carnegie Mellon University in the United States, but because he was not satisfied that the university's AI research was sponsored by the United States Department of Defense, he decided to leave the United States to teach at the University of Toronto's School of Computer Science.
He pointed out that without some kind of global regulatory agreement or regulatory mechanism, the AI arms race will intensify.
For this reason, Hinton believes that the threat posed by AI to humans may be more urgent than climate change, because the solution to climate change is obvious, as long as carbon emissions are reduced or carbon neutrality is achieved, but the current AI crisis does not know how to start. Although AI may pose an existential threat to humans, he does not agree to suspend AI research, because it can never erase the benefits and application value of AI.
Hinton believes it would be better to step up regulation of AI and make everyone aware of its potential harms.
OpenAI co-founder and CEO Sam Altman also acknowledged that ChatGPT has developed some reasoning capabilities that they can ’ t explain, and that it ’ s not entirely impossible for AI to destroy humans.
However, he said that he has installed a kill switch for ChatGPT, and if the development of ChatGPT exceeds human expectations, he will immediately press the switch to stop working.
OpenAI CEO Altman, known as the “father of ChatGPT, ” recently said he was“ a little scared ” about the potential of his children, and even admitted that there is a real possibility that AI will destroy humanity. (Image: Wikipedia)
Altman admits that ChatGPT ’ s influence in elections and the spread of disinformation is a concern, so the 2024 U.S. presidential election will be a focus for OpenAI.
(Image source: Pexels Gallery website)
The Curtain of Ignorance Makes AI Right Values
However, before we press the switch, we can try to instill the right values in AI, such as helping those most in need, not destroying humans. Google ’ s DeepMind paper published in April 2023 in the Proceedings of the National Academy of Sciences suggests that AI can be taught from the perspective of political philosopher John Rawls.
Rawls has proposed a concept called “The Veil of Ignorance ”, which aims to achieve the most equitable distribution of benefits when group decisions are made.
According to his book, The Debate, if a group of people stand behind a curtain, all of them will instantly lose their memory, become ignorant, and forget their identity and status in the real world.
The political philosopher Ross assumes that people are behind the “curtain of ignorance ” (left) and have no idea of their skills, identities, and status.
In this scenario, people tend to choose the most equitable distribution of rights for all. (Image: Wikipedia)
At this time, these people are asked to vote for a working principle for the society.
Because they do not know where they are in this society, they cannot make decisions in an egoistic way, and they can only judge according to the principle of fairness to all people.
The situation is like, at the birthday party, you are responsible for cutting the cake, because you do not know which piece you will get, so you will try to cut each piece to the same size.
Under the curtain of ignorance, fairness and justice that has nothing to do with personal interests will emerge.
For this reason, DeepMind believes that applying the “curtain of ignorance ” to AI training may help promote fairness in the process of“ aligning ” AI with human values.
By “alignment ”, it means aligning AI ’ s wishes with those of humanity.
If AI shares fair values with humans, AI will not have the intention to destroy humanity.
White House convenes tech giants to discuss AI threats
However, even if AI does not intend to destroy humans, it may still have many negative effects on human society.
The Center for Artificial Intelligence and Digital Policy (CAIDP), a U.S. technology ethics organization, has complained to the Federal Trade Commission (FTC) that OpenAI ’ s latest large language model, GPT-4, is biased and deceptive and poses a risk to privacy and public safety.
The CAIDP lists potential threats that may arise from GPT-4, including: helping hackers churn out malicious code to exacerbate cyberattacks; and biased AI training data that may reinforce social stereotypes and make people of all races and genders vulnerable to unfair treatment. The FTC is investigating OpenAI, said FTC Chairman Lina Khan. "They cannot be separated from existing legislation and the Federal Trade Commission will actively enforce them," he said.
In an effort to make GPT-4 more secure, OpenAI hired 50 experts and academics to test GPT-4 against lies, language manipulation, and dangerous scientific common sense.
The OpenAI headquarters is pictured here. (Image: Wikipedia)
In early May 2023, the White House invited Google CEO Sundar Pichai, Microsoft CEO Satya Nadella, OpenAI founder Altman, and artificial intelligence startup Anthropic founder Dario Amodei to attend a conference to discuss the impact of AI on society.
Government officials at the meeting included Vice President Kamala Harris, Biden Chief of Staff Jeff Zients, National Security Adviser Jake Sullivan, National Economic Council Chairman Lael Brainard, and Commerce Secretary Gina Raimondo.
U.S. President Joe Biden also attended the meeting.
EU to pass world ’ s first AI regulatory law
Generative AI, while helping to improve lives, can also pose security, privacy and fraud issues, says Ms Ho.
She noted that AI companies have an ethical and legal responsibility to ensure the safety of their AI products, while at the same time working with governments to protect civil rights and privacy.
She stressed that the White House will work to advance potential new legislation and support new legislation to mitigate the potential harms of AI technology.
In contrast, Europe has taken a step ahead in AI legislation.
On 11 May 2023, the European Parliament ’ s Committee on Civil Liberties and Consumer Protection overwhelmingly approved a position paper calling for restrictions on the use of AI in Europe, a crucial first step towards the adoption of the world ’ s first AI regulation bill.
The draft bill will be submitted to the full European Parliament for a vote in June of the same year, after which representatives of the European Parliament, the Council of the European Union and the European Commission will work out the final terms of the bill in tripartite talks.
The European Parliament has adopted a position paper that strengthens restrictions on biometrics, facial recognition, and the use of AI by police in routine duties.
The parliament believes the move could lead to the world ’ s first AI regulation bill. (Image: Wikipedia)
On the other hand, the White House announced that Google, Microsoft, OpenAI, NVIDIA, Stability AI, Anthropic, and Hugging Face have all committed to participating in DEF CON 31, a computer security conference to be held in August 2023, so that their AI models will be tested and evaluated by hackers and AI experts.
Experts will try to identify errors, failures, and vulnerabilities in AI tools so that AI companies can solve existing problems in their models early on.
However, these AI companies simply agree to a one-time test, rather than a commitment to a continuous evaluation when launching or improving their products, and may therefore not be sufficient to meet the regulatory requirements.
Despite this, DEF CON 31 is still seen as the first step for an AI model to be publicly evaluated.
We hope that after each important first step in legislative regulation and public evaluation, we can put generative AI trains on the right track, so that everyone can safely benefit from technological innovation.
DEF CON is one of the largest computer security conferences in the world. In addition to cybersecurity experts and hackers, participants included staff from the FBI, the Department of Defense, and the Postal Inspection Service.
The conference covered areas such as software security, computer architecture, hardware modifications, and other vulnerable areas of information. (Image: DEF CON official website)
The content of the signed and / or unsigned articles published by Economic Times is the author's personal opinion and does not represent the position of Economic Times, and the role of Economic Times is to provide a free speech platform.
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What breakthroughs has Hinton achieved through his 40+ years of work on artificial neural networks?

Breakthroughs that mimic biological brains

Hinton founded DNNresearch, which Google acquired for $44 million, and he joined Google as Vice President and Engineering Researcher to work on Google Brain.

He won the A.M. Turing Award in 2018 for neural networks and deep learning.

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.

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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.’

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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’.

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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.’

Title:

Content: AI Godfather Hinton: Artificial intelligence threatens humanity more urgently than climate change
Central News Agency
Geoffrey Hinton, a pioneer in artificial intelligence (AI), said in an interview with Reuters today that the threat posed by AI to humans may be “more urgent ” than climate change.
This is an advertisement, please continue reading.
Hinton, 75, who is regarded as one of the “godfathers ” of artificial intelligence, recently announced his departure from Alphabet, a 10-year tech company, because he wanted to make the risks of artificial intelligence public without involving employers.
Hinton ’ s research has been recognized as an important contribution to the development of contemporary AI systems. In 1986, he co-authored the influential paper Learning Representations by Back-propagating Errors, which set a milestone in the development of neural networks supporting AI technology. In 2018, he received the Turing Award for his research breakthroughs. And...
Hinton is one of a growing number of technology leaders who are concerned that machine intelligence will surpass humans and ultimately control the planet, and are openly raising concerns about the potential threat posed by AI.
“I ’ m not trying to downplay the importance of climate change, nor am I saying we shouldn ’ t worry about climate change, which is also a big risk, ” Hinton said.
But I think (artificial intelligence) may be more urgent in the end. "
“When it comes to climate change, making recommendations is simple: just stop carbon emissions.
If you do that, things will get better.
And when it comes to (artificial intelligence), there ’ s nothing we can do about it. ”
OpenAI, a U.S. artificial intelligence research lab sponsored by technology company Microsoft, launched ChatGPT, a chatbot that took the first shot at the AI race last November and quickly became the fastest-growing app in history, with 100 million monthly active users in just two months.
In April, thousands of people signed an open letter calling on all AI labs to suspend development of systems more powerful than OpenAI ’ s recently launched GPT-4 for at least six months, including social media CEO Elon Musk, AI pioneers Yoshua Bengio and Stuart Russell.
Hinton shares the concerns of the co-authors, who fear AI could pose an existential threat to humanity, but he disagrees with the suspension of research.
He said, “It ’ s not practical.
I agree that this is an existential risk, and it ’ s close, and it ’ s time to put a lot of effort into understanding what we can do. ”
Following the publication of the joint letter, the 12 members of the European Parliament called on leaders such as U.S. President Joe Biden and European Union Executive Committee Chairman Ursula von der Leyen to convene a summit to discuss how to control the development of advanced artificial intelligence systems such as ChatGPT, which are developing faster than expected.
“Technology leaders know best about [artificial intelligence], and politics must be involved, ” says Hinton.
This matter concerns all of us, so we must all think carefully. ”
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Which prestigious award did Hinton receive in 2018 for his work on neural networks?

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

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

Hinton's work has laid the foundation for generative AI like ChatGPT and Google's Bard.

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

He believes AI poses an existential threat to humans, more urgent than climate change, if not regulated.

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

Advanced AI could pose an existential risk to humanity.

What risks did the global summit report highlight about AI?

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

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

Advanced AI could pose an existential risk to humanity.

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 suggests regulating AI due to concerns over its impact on employment and misinformation.

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 risks did Hinton associate with AI's rapid advancement?

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

He has warned that machines will outperform humans in nearly 50 years, creating a world of unreality.

Title:

Content: Geoffrey Hinton, the godfather of AI, said after leaving Google that artificial intelligence is becoming smarter than humans.
2023 / 5 / 3 16: 46: 16 Source: IT House Author: Yuanyang Editor: Yuanyang
IT home May 3 news, one of the pioneers in the field of artificial intelligence, known as the "godfather of AI" Geoffrey Hinton (Geoffrey Hinton) recently announced that he has left the Google company he worked for ten years, because he is increasingly worried about the development of artificial intelligence technology.
In an interview with CNN's Jake Tapper today, he said that he believes artificial intelligence is becoming smarter than humans, and he wants to "blow the whistle" to remind people that they should seriously consider how to prevent artificial intelligence from controlling humans.
I'm just a scientist who suddenly realizes that these things are becoming smarter than we are, "Hinton said." I want to 'blow the whistle' in a way that says we should seriously worry about how to stop these things from taking control of us. "
Hinton was a pioneer in neural network technology, and his research laid the foundation for the artificial intelligence systems used in many products today.
IT House previously reported that he first revealed his departure in an interview with The New York Times on Monday and expressed his concerns about the potential harms of AI technology.
He said he was concerned that AI would lead to mass unemployment and create a world where many people “can ’ t know what ’ s real. ”
He also noted that the pace of advances in AI technology has far exceeded his and others ’ expectations.
If it becomes much smarter than us, it ’ s going to be very good at manipulating because it ’ s learned from us, and there are very few examples of a smarter thing being controlled by a dumber thing, ” Hinton told Tapper on Tuesday.
It will figure out ways to manipulate people into doing what it wants.
Hinton isn ’ t the only tech leader to express concerns about AI, and in March, a group of community members published a letter calling on AI labs to suspend training for at least six months on the most powerful AI systems, citing “profound risks to society and humanity. ”
Apple co-founder Steve Wozniak, one of those who signed the letter, reiterated concerns about artificial intelligence spreading false information on “CNN Morning ” on Tuesday.“ Deception will become easier for those who want to cheat you. ” Wozniak told CNN, “We ’ re not making any changes in that — we ’ re just assuming that our existing laws will fix the problem. ” Wozniak also said there may be a need for“ some type ” of regulation.
Hinton said he did not sign the petition. “I don ’ t think we can stop this progress, ” he said.“ I didn ’ t sign the petition saying we should stop studying artificial intelligence, because if the Americans stop doing research, the Chinese won ’ t. ” But he admitted that he didn ’ t have a clear solution, “I don ’ t know if we can solve this problem. ”
I believe we should try to think about ways to solve the problem.
I don't have a solution at the moment. '
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Key word: artificial intelligence
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What did Sam Altman admit about ChatGPT and the potential risks of AI?

Advanced AI could pose an existential risk to humanity.

What future risk did Hinton warn about AI?

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

Advanced AI could pose an existential risk to humanity.

What future risk did Hinton warn about AI?

Hinton resigned from Google to freely discuss AI risks.

Title:

Content: Hotspot
“The Godfather of AI ” Leaves Google to Talk About AI Risks for Life (13: 25)
AI pioneer Geoffrey Hinton, known as the “godfather of AI, ” confirmed on Monday that he had left Google for 10 years last week.
He said in an interview that the current development of AI chatbots is worrying, thinking that they will soon be smarter than humans, and that Russian President Vladimir Putin "such a bad person" will use AI to do bad things.
Hinton, 75, worked part-time at Google for 10 years, helping with AI development.
He said he left Google in the hope of being free to talk about the risks of AI without regard to the impact of speech on Google, but stressed that Google has taken very responsible action.
“I comfort myself that if I don ’ t do it, there are others who do the same work. ”
He admitted that he regretted his life's work, and said that AI chatbots are very scary, so far they have not been smarter than humans, but "soon it may be."
He also worried that "some people like Putin will use AI to do bad things."
Hinton added that AI is different from human intelligence, and AI learning is like one in 10,000 people learning something, others automatically learn it, so these chatbots gain more knowledge than any human.
Another worry, he said, is that AI will take people to work for humans, and at the same time create a world where “people no longer know what is true or false. ”
(CNN / BBC)
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Why did Hinton leave Google when he helped develop AI but later grew concerned about its dangers?

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

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

At 75, he feels it's time to retire, but believes raising awareness about AI's dangers is essential.

Title:

Content: Artificial intelligence: Geoffrey Hinton 'godfather' of modern technology resigns from Google and warns of its danger
Jeffrey Hinton, widely regarded as the spiritual father of artificial intelligence, has resigned, warning of the growing dangers of AI development.
Hinton, 75, announced his resignation from Google in a statement to the New York Times, saying he now regrets his work.
He told the BBC that some of the dangers of smart chatbots were "very scary".
“Right now, they ’ re not as smart as we can tell.
But I think they ’ ll be soon. ”
Hinton ’ s groundbreaking research on deep learning and neural networks has paved the way for artificial intelligence systems such as ChatGT.
But British-Canadian cognitive psychologist and computer science specialist Hinton told the BBC the chatbot could soon surpass the level of information held by the human brain.
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“Right now, what we ’ re seeing is that things like GPT-4 are far superior to a person in the amount of general knowledge they have.
For thinking, it ’ s not good, but it really works on simple thinking. ”
"Given the rate of development, we expect things to improve quickly.
So we have to worry about that. ”
In the article he sent to the New York Times, he pointed out that “bad actors ” may try to use artificial intelligence to do“ bad things. ”
In response to the BBC's request for further clarification on the matter, he said: "This is just kind of a worst-case scenario, kind of a nightmare scenario."
“Can you imagine, for example, that someone as bad as the Russian president (Vladimir Putin) decided to give robots the ability to create their own sub-goals? ”
In the end, he warned, this could “create sub-goals – for example, ‘ I need to get more power. ’ ”
"I have come to the conclusion that the kind of intelligence we develop is very different from the intelligence we have," he said.
“We are biological systems and these are digital systems.
The big difference is that with digital systems you have many copies of the same weight set, of the same world model. ”
"All of these versions can learn separately, but they share their knowledge immediately.
If you have 10,000 people, when one person learns something, everyone will automatically know it.
So chatbots can know much more than one person. ”
Hinton also spoke of several other reasons why he quit his job.
“One of them is that I am 75 years old now.
And the other is that I want to say good things about Google.
It would be more credible if I didn ’ t work for Google. ”
He stressed that he did not want to criticize Google, and that the company was "very responsible".
Google Chief Scientist Jeff Dean said: “We remain committed to a responsible approach to artificial intelligence.
We are constantly learning to understand the risks arising under innovation boldly as well. ”

Title:

Content: Beware of the nightmare of artificial intelligence.
The godfather of this software resigns from his position at Google
Conversation
The father of artificial intelligence Jeffrey Hinton [Archive] - Copyright Noah Berger / AP
By: Euronews
Hinton ’ s pioneering work on neural networks has shaped artificial intelligence systems that power many contemporary products.
He worked part-time at Google for a decade in the tech giant ’ s AI development efforts, but has since had concerns about the technology and its role in its development.
Geoffrey Hinton, who is considered the godfather of artificial intelligence, has resigned from his position at Google.
Warning about the growing risks of AI, Hinton stressed that “the downsides of this sector ’ s software like GPT are very frightening. ”
Hinton ’ s pioneering work on neural networks has shaped artificial intelligence systems that power many contemporary products.
He worked part-time at Google for a decade in the tech giant ’ s AI development efforts, but has since had concerns about the technology and its role in its development.
In a tweet on Monday, Hinton said he left Google so he could speak freely about the dangers of artificial intelligence, not because of a desire to criticize Google specifically.
Hinton tweeted: “I left so I could talk about the dangers of artificial intelligence without thinking about how this would affect Google. ”
He added: “Google has acted with great responsibility. ”
Rapid development of artificial intelligence
In an interview with the BBC, Hinton said: "At the moment, these shows are not smarter than us, but I think they may soon be."
Hinton also considered that his age played into his decision to leave the tech giant Google, saying, “I ’ m 75 years old, so it ’ s time to retire. ”
Hinton ’ s groundbreaking research paved the way for access to current AI systems and is therefore considered by many to be the founder of the sector.
In another interview with The New York Times, Hinton said that “part of me regrets ” contributing to the development of the technology.
But the British-Canadian cognitive psychologist and computer scientist told the BBC: "Right now, what we're seeing is that things like ChatGT outperform a person in the amount of general knowledge they have and outperform them a lot.
But in terms of thinking, man is ahead. ”
However, he points out that "the speed at which this software evolves makes us expect its efficiency to improve, so we have to worry about that."
In an article in The New York Times, Hinton said there were “bad actors ” trying to use AI for“ bad things. ”
"Nightmare."
When asked by the BBC to elaborate on this, he replied: “This is just some sort of worst-case scenario, it ’ s a nightmare. ”
“You can imagine, for example, that some bad actors like Russian President Vladimir Putin decided to give robots the ability to set their own targets during the war. ”
“I have come to the conclusion that the kind of information we develop is very different from the intelligence we have.
We are biological systems and these are digital systems. ”
As for how the software learns, Hinton explained that it “works separately to instantly share its knowledge, as if you have 10,000 people and whenever someone learns something, everyone knows it automatically.
And so these chatbots can know far more than any one person. ”
Henton is not the first Google employee to raise a red flag on artificial intelligence.
In July, the company fired an engineer who claimed an undisclosed AI system had become conscious, saying it violated hiring and data security policies.
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He fears AI will spread misinformation and replace human workers.

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

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

Elon Musk and other experts have echoed Hinton's concerns about AI development.

Title:

Content: Sunday 13 August 2023
Chairman of the Board of Directors and Editors
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Dalia Abdul Rahim
Chairman of the Board of Directors and Editorial Board
Abdurrahim Ali
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Dalia Abdul Rahim
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Angelique Bouchard writes: "Oppenheimer...
"Oppenheimer."
Is there another parallel world where we don't find Oppenheimer?
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With Oppenheimer ’ s biopic coming out on July 21, writer and director Christopher Nolan, known for his iconic films Interstellar and Inception, tackles the threat of thermonuclear war and human annihilation. Oppenheimer), in which visionary Nolan took the utmost care regarding artificial intelligence on the sidelines of a special Oppenheimer show in New York.
Origin of Legend
The film tells the story of Robert Oppenheimer, a charismatic physicist, played by Cillian Murphy, who was tasked with leading the Manhattan Project in Los Alamos, New Mexico, to build the atomic bomb during World War II.
Oppenheimer was hailed as a hero after the Hiroshima and Nagasaki bombings that ended the war against Japan in 1945, after Germany had already surrendered.
A few years later, in 1954, his security clearance was revoked during a poor hearing before Atomic Energy Commission advisers because of his close ties to the academic left at the University of California, Berkeley, among others — his girlfriend and brother, both members of the Communist Party — and his opposition to the creation of a hydrogen superbomb, encouraged by his colleague Edward Teller.
In fact, Hollywood is not afraid to oppose legends.
New York Times reporter Dennis Overby asks Nolan, “So Robert Oppenheimer is the most important person who ever lived? ”
Director Christopher Nolan thinks so and will surely be the man who will destroy the world.
“Who could be more important than him? ”
He could be the man who pushes the button that destroys the world.
But Nolan goes on to say, “You have to have a button to press.
I think it ’ s very easy to say that Oppenheimer is the most important person who ever lived because he was the one who facilitated the creation and manufacture of atomic weapons and even the hydrogen bomb and because he allowed Teller to work on them.
So he was the one who was able to bring the troops together effectively. ”
“Is there another parallel world where we don ’ t find Oppenheimer, but someone else? ”
It is possible, but it should not diminish its importance in history.
History was built not only from simple societal developments but by powerful individuals.
It ’ s a very philosophical discussion. ”
"Towards Oppenheimer's Moment"
On July 16, during a round table moderated by Chuck Todd, host of Meet the Press and attended by the director of the National Research Institute Los Alamos and some scientific and physical experts, Christopher Nolan insisted that individuals should take responsibility for the development of artificial intelligence.
He warns: “AI is about to reach Oppenheimer ’ s moment.
Over the past 15 years, more and more companies have used terms like algorithms, ignoring their true mathematical meaning.
“People in my industry who talk about algorithms don ’ t want to take responsibility for the consequences of what those algorithms produce. ”
“When applied to AI, this prospect is simply terrifying, ” he continues,“ not only because AI systems will serve defense infrastructures and possibly be responsible for the activation of nuclear weapons.
If we consider AI to be a separate entity from the person doing the activation and programming, then we are absolutely guilty, we need to hold people accountable for what they do with the tools they have. ”
On July 17, SAG-AFTRA staged a strike to join members of the second union, the WGA for the first time since 1980.
Stakeholders, unions and major studios remain at loggerheads over a dozen points, of which only a few have been made public.
According to the sources, the main sticking point is the majority union ’ s demand to collect 2% of the income generated by the flowing offers.
The question of AI and its impact on the practices and quality of work in the American film industry remains a major problem in the context of the many disputes between unions and major Hollywood studios.
SAG-AFTRA does not seek to ban AI from Hollywood but wants to ensure that any use of the artist / performer ’ s image must be accompanied by the necessary compensation and prior consent.
Is the devil hiding here in the details?
The unions assert that “this proposal was very skillfully formulated by studios whose flaws ordinary people are not aware of. ”
“This will allow studios to have absolute authorization to create profiles of performing artists using AI or to convert their uses for other purposes. ”
SAG-AFTRA wants to force syndicate approval on studios for any individual use of AI, which major studios have rejected at the negotiating table.
Christopher Nolan said: “With labor disputes in Hollywood right now, we can ’ t ignore the inherent drift in AI that when you innovate through technology, you have to maintain a high level of accountability. ”
Chuck Todd asks, “Do you think we ’ ll continue to revisit the Oppenheimer case as our understanding of quantum physics advances and as we tame the atom? ”
Nolan says, “I hope so. ”
“When I talk to top AI researchers, they literally refer to this moment — today — as their Oppenheimer moment.
They look to history to see the responsibilities of the scientists who develop these new technologies. ”
Todd goes on to ask, “Do you think Silicon Valley is questioning that right now? ”
“I ’ m not saying that Oppenheimer ’ s personal story provides easy answers to these fundamental questions, but a call to question the idea of individual and collective responsibility of people. ”
"The Regret of the Principal Sponsor of Artificial Intelligence"
Geoffroy Hinton, who helped create ChatGPT technology, fears that we are rushing into a danger similar to that described by Nolan.
Kidd Metz, a technology reporter for The New York Times, spoke with Amnesty International ’ s godfather on May 30, 2023, as the world began to experiment with the power of artificial intelligence.
The necessary discussion has emerged to reduce the risks.
And one of the most resonant warnings comes from a man who invented this technology.
Jeffrey Hinton said he quit his job at Google where he worked for more than 10 years and became one of the most respected voices.
He says these companies are incurring losses by encouraging robust product creation campaigns based on generated AI, the technology that powers popular chatbots like ChatGPT.
Hinton goes on to tell the New York Times that until last year, he thought Google had good technology management but that changed when Microsoft began integrating the chatbot into its search engine Bing and that the company began to voice concerns that threatened its research and development activities.
He told the BBC: "Some of the AI risks of chatbots are very scary."
He warned that they could outperform humans and be exploited by bad actors.
They can produce a lot of text automatically which makes spammers very effective.
“This will allow dictators to manipulate their constituents. ”
Hinton adds, “I have come to the conclusion that the kind of intelligence we develop is very different from the intelligence we have.
It ’ s like having 10,000 people and every time someone learns something and everyone knows it automatically.
This is how chatbot technology thrives and can learn far more than anyone else. ”
Nolan and Hinton are no doubt not the only ones in the advanced circles of AI research and Hollywood ’ s soft power who fear technological drifts.
Elon Musk said last month that he disagreed with Larry Page, co-founder of Google, because the latter did not take “the issue of AI security seriously enough.
Musk told Fox News that Page did not want to create “a digital superintelligence, but a digital god ” and“ as quickly as possible. ”
Journalists Josh Taylor and Alex Hearn point out in The Guardian, May 2, 2023 (AI pioneer Jeffrey Hinton has left Google and warned of the dangers of misinformation) that Mila ’ s general manager, the Quebec Institute for AI, Valerie Pisanu, has said that “neglect of AI systems security will not be tolerated in any other field. ”
“The technology is there and as the system interacts with humans, its developers wait to see what happens to make adjustments accordingly. ”
However, Mr. Hinton ’ s short-term concern relates to a phenomenon that has already become a reality: social media users, for example, are no longer able to discern the real thing, through photos and videos created in the AI that is flooding the internet.
According to Josh Taylor and Alex Hearn, “Recent improvements to image generators like Midjourney now allow the production of realistic images — like a picture of Pope Francis and a coat of Balenciaga that went viral last March. ”
Jeff Dean, Google ’ s chief science officer, said in a statement that Google appreciates Mr. Hinton ’ s contributions to the company over the past decade.
AI could end up replacing jobs such as paralegals, personal assistants and other “hard work ” in the future.
Information about the author:
Angelique Bouchard.
French journalist.
I have had a lot of interviews with a lot of French people.
He wrote about the film Oppenheimer.

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.

The public should be aware that AI development poses risks, including job displacement and misinformation, which researchers are working to address.

Title:

Content: Interview with Dr. Yu Longwu: Looking forward to the future development of artificial intelligence and quantum computing
Social Impact of Artificial Intelligence and Future Prospects
Renowned artificial intelligence and quantum computing expert Dr. Yu Longwu shared his insights on the future development of artificial intelligence.
Dr. Yu Longwu pointed out that 2023 is a brilliant year for generative artificial intelligence such as ChatGPT, and looking forward to 2024, artificial intelligence technology will continue to show several important trends.
I encourage young researchers and students to remain curious and inquisitive, to focus on basic learning, to develop interdisciplinary thinking skills, to focus on teamwork and communication skills, and to have a sense of social responsibility.
— Yu Longwu
SAN DIEGO, CA, USA, June 27, 2024 / EINPresswire.com / -- Interview with Mr. Yu Longwu, a North American headline and a scholar in the field of artificial intelligence.
In the latest interview, Dr. Yu Longwu, a well-known artificial intelligence and quantum computing expert, shared his insights on the future development of artificial intelligence.
Dr. Yu Longwu pointed out that 2023 is a brilliant year for generative artificial intelligence such as ChatGPT, and looking forward to 2024, artificial intelligence technology will continue to show several important trends.
Artificial Intelligence Big Model Towards General Artificial Intelligence
Dr. Yu Longwu first mentioned that the AI model will gradually move towards general artificial intelligence.
The large model represented by ChatGPT demonstrates its powerful natural language processing capabilities, but the next generation aims to achieve general artificial intelligence.
Dr. Yu Longwu revealed that OpenAI is training the next generation of artificial intelligence, tentatively named "Q *".
To his knowledge, this generation of AI is being trained “from scratch ” for the first time, with intelligence that does not rely on data from human activity and has the ability to modify its own code to accommodate more complex learning tasks.
Although "Q *" can only solve the mathematics problem of primary school difficulty at present, its future potential cannot be underestimated.
Interview with Dr. Yu Longwu: Looking forward to the future development of artificial intelligence and quantum computing
He said: "General AI is not limited to certain specific tasks, but is capable of solving a wide range of scientific and technical problems.
For example, OpenAI is training the next generation of AI, tentatively named ‘ Q * ’.
This marks a new milestone, "he said.
Synthetic data breaks training data bottlenecks
Dr. Yu Longwu pointed out that synthetic data will play an important role in the development of artificial intelligence in the future.
Data bottlenecks have been one of the main factors limiting the development of AI, and synthetic data can provide a large amount of high-quality data to alleviate this bottleneck.
In addition, synthetic data helps to resolve data privacy and security issues and reduce legal disputes.
He explains: “Synthetic data is data generated by machine learning models that mimic real data.
Its advantage lies in providing a large amount of high-quality data and solving the problem of insufficient existing data.
In addition, synthetic data can solve data privacy and security issues and avoid legal disputes. ”
The application of quantum computing in artificial intelligence | Dr. Yu Longwu
Dr. Yu Longwu is optimistic about the application of quantum computers in the field of artificial intelligence.
Quantum computers have powerful parallel computing capabilities, which can greatly improve the computing power of artificial intelligence.
With the continuous progress of quantum computing technology, quantum computing is expected to become the key to solving the bottleneck of AI computing power.
He pointed out: "The parallel computing power of quantum computers gives them a significant advantage in solving complex computational problems.
For example, in machine learning, many algorithms need to do a lot of matrix operations and optimization problems, and quantum computing can greatly speed up these processes. ”
Interview with Dr. Yu Longwu: Looking forward to the future development of artificial intelligence and quantum computing
Self-supervised learning and multi-modal learning
Dr. Yu also mentioned that technologies such as self-supervised learning, multi-modal learning and edge computing will play an important role in the development of artificial intelligence in the future.
Self-supervised learning can reduce dependence on labeled data by training with unlabeled data; multi-modal learning can process and integrate data from different sources; and edge computing can handle real-time processing where the data is generated, reducing latency and improving efficiency.
He said: "By using unlabeled data for training, self-supervised learning can greatly reduce the dependence on labeled data and improve the training efficiency."
Multi-modal learning, which can process and integrate data from different sources, will greatly expand the scope of AI applications. ”
Future challenges and responses
Despite the bright prospects, Dr. Yu also reminds us to be cautious about the challenges ahead.
He pointed out that the development of artificial intelligence is not without resistance and problems.
The first is technical bottlenecks and resource constraints.
The training and operation of large-scale models requires a lot of computing resources and electricity, which is a huge burden on the environment and the economy.
In addition, data privacy and security issues remain serious.
AI systems need a lot of data to train, which often contains sensitive information and personal privacy, and how to protect this data is a major challenge.
"We must develop and implement effective laws and policies to ensure that the development of AI is ethical and ethical and prevents misuse and malicious use," he said.
Interview with Dr. Yu Longwu: Looking forward to the future development of artificial intelligence and quantum computing
The integration of quantum computing and artificial intelligence
The application prospect of quantum computing in artificial intelligence
When talking about the integration of quantum computing and artificial intelligence, Dr. Yu Longwu showed great enthusiasm.
He pointed out that the application prospect of quantum computing in artificial intelligence is very broad.
First, the parallel computing power of quantum computers gives them a significant advantage in solving complex computational problems, such as in machine learning, where many algorithms need to perform a large number of matrix operations and optimization problems, and quantum computing can greatly speed up these processes.
"Quantum computers are capable of dealing with problems that classical computers cannot solve, such as cracking complex encryption algorithms, simulating the quantum behavior of molecules and materials, and solving complex optimization problems," he said.
Quantum machine learning
Dr. Yu also stressed that the combination of quantum computing and artificial intelligence can improve the training efficiency of AI models.
Quantum machine learning algorithms can run on a quantum computer, speeding up the model training process and improving the training accuracy.
Especially for deep learning, which requires a lot of computational resources, this will bring significant improvements.
He said: "Quantum machine learning algorithms can run on a quantum computer, speeding up the model training process and improving the training accuracy.
This is especially important for deep learning, which requires a lot of computational resources. ”
Challenges Faced
Dr. Yu Longwu also pointed out that at present, quantum computing still faces many challenges in practical applications, such as the limitation of quantum bits, the problem of quantum error correction, the development of quantum algorithms and the limitation of hardware technology.
Nevertheless, he is confident in the future of quantum computing, believing that as technology continues to advance, quantum computing will play an increasingly important role in the development of artificial intelligence.
"Despite these challenges, I believe that with the continuous advancement of technology, quantum computing will certainly play an increasingly important role in promoting the development of artificial intelligence in the future," he said.
Collaboration between quantum computing and traditional computing
Dr. Yu Longwu believes that in the future, quantum computers will not completely replace traditional computers, but the two will develop together and play their respective roles.
Quantum computers have significant advantages when dealing with complex parallel computing tasks, while traditional computers still perform well when performing some simple, linear tasks.
By combining quantum computing with traditional computing, optimal computing efficiency and performance can be achieved.
"Quantum computing and traditional computing have their own strengths, and in the future the two will work together to achieve the best computing efficiency and performance," he said.
Specific Application Scenarios
In terms of specific application scenarios, Dr. Yu Longwu mentioned that quantum computing can play an important role in areas such as drug discovery, materials science, optimization problems, and financial modeling.
For example, in drug discovery, quantum computing can simulate the quantum behavior of molecules and accelerate the drug screening process; in materials science, quantum computing can help design new materials and optimize their performance; in optimization problems, quantum computing can quickly find the optimal solution and improve decision-making efficiency; in financial modeling, quantum computing can improve the accuracy of risk assessment and investment strategies.
"Quantum computing has broad application prospects in areas such as drug discovery, materials science, optimization problems, financial modeling, and can greatly enhance the level of research and application in these fields," he said.
Social Impact of Artificial Intelligence and Future Prospects
Impact of Artificial Intelligence on Society
At the end of the interview, Dr. Yu discussed the far-reaching impact of artificial intelligence on society.
He pointed out that artificial intelligence has great potential in improving productivity and quality of life.
For example, AI can be used in medical diagnostics to help doctors diagnose diseases more accurately and improve treatment effectiveness; it can be used in autonomous driving to improve traffic safety and efficiency; it can be used in smart homes to make our lives more convenient and comfortable.
In addition, artificial intelligence can also be used for scientific research, accelerating scientific discoveries, and solving some of the major challenges facing humanity, such as climate change, energy shortage and so on.
"Artificial intelligence has great potential to boost productivity and improve quality of life, and can dramatically improve efficiency and effectiveness in all areas," he said.
Challenges and Risks Faced
However, Dr. Yu also warned about the challenges posed by artificial intelligence.
He mentioned that the development of artificial intelligence may lead to the disappearance of some traditional jobs, which will lead to employment problems.
Businesses may try to hire fewer people to perform the same tasks, resulting in large numbers of workers losing their jobs.
In addition, data privacy and security issues are also important challenges for AI.
AI requires a lot of data to train and operate, which may contain personal privacy and sensitive information, and how to protect the security of this data is a major challenge.
"The development of artificial intelligence may lead to the disappearance of some traditional jobs, and companies may try to hire fewer people to perform the same tasks, which will have a knock-on effect on the job market," he said.
Ethical and Moral Issues of Artificial Intelligence
The third is the ethical issue of artificial intelligence.
Dr. Yu Longwu pointed out that the development of artificial intelligence may bring some ethical and moral issues, such as whether artificial intelligence decision-making is fair, and whether artificial intelligence will pose a threat to human beings.
How to formulate and implement effective laws and policies to ensure that the development of AI is ethical and ethical is an issue that needs to be studied and explored in depth.
"The development of artificial intelligence raises a number of ethical and ethical issues, and we have to make sure that the development of artificial intelligence is ethical and ethical," he said.
Future outlook
Dr. Yu Longwu is full of expectations for the future development of artificial intelligence.
He hopes that AI can play a role in more fields, solve more practical problems, and make greater breakthroughs in intelligence and autonomy.
At the same time, he stressed that the development of artificial intelligence must be safe and controllable, and a sound artificial intelligence governance system needs to be established to ensure that it does not pose a threat to human society.
"I hope that AI can play a role in more areas, solve more practical problems, and at the same time ensure that the development of AI is safe and controllable," he said.
Advice for young researchers and students
Finally, Dr. Yu Longwu put forward several suggestions for young researchers and students.
He encouraged them to maintain their curiosity and spirit of exploration, focus on basic knowledge learning, develop interdisciplinary thinking skills, focus on teamwork and communication skills, and have a sense of social responsibility.
He believes that the younger generation of researchers will play an important role in the development of artificial intelligence in the future, bringing more benefits to human society.
"I encourage young researchers and students to remain curious and inquisitive, focus on basic learning, develop interdisciplinary thinking skills, focus on teamwork and communication skills, and be socially responsible," he said.
Summing up
In this in-depth interview, Dr. Yu Longwu painted a blueprint for the future of artificial intelligence and quantum computing for us.
His insights not only reveal the current direction of technology, but also provide us with ideas and ways to meet the challenges of the future.
With the continuous advancement of technology, artificial intelligence and quantum computing will continue to drive social progress and bring a better future for mankind.
Cheng Yi
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Interview with Dr. Yu Longwu: Looking forward to the future development of artificial intelligence and quantum computing

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 risks did Hinton associate with AI's rapid advancement?

AI literacy and critical thinking are crucial for responsible AI interaction.

Title:

Content: What does ChatGPT mean for education?
Author ： LING Wenjing
Published: Updated:
Note: This article is excerpted from “What ChatGPT Means for Education ” by Unthinkable Digital (March 2023), with Professor Rose Luckin of University College London as one of the contributing authors. Professor Luckin will give a talk on“ Beyond e-Learning ” at the “How We Learn and Co-Create with AI ” conference hosted by Uncle Potato Chips Co-Creation on April 14.
If you want to see how technology like AI will reshape school or workplace learning in the future, sign up by April 9 at this link for free: bit.ly / 3xFPpAK
What does ChatGPT stand for?
ChatGPT is a generative AI that began to gain widespread adoption earlier this year and is not limited to education, such as: more advanced customer service chatbots; writing reports, work plans, articles or magazine articles; being part of a search engine (e.g. Microsoft ’ s Bing) and applying to visual media creation.
ChatGPT is a generative artificial intelligence, many products and services are gradually adding generative artificial intelligence tools, such as: more advanced customer service chatbot; writing reports, work plans, articles or magazine articles; becoming part of search engines (e.g. Microsoft Bing) and applied to visual media creation, and many clerical jobs are expected to use generative artificial intelligence in the near future.
Time to change the rules of the game
Many educators are concerned about how to avoid students using generative AI, which they see as a tool for cheating.
Some universities have banned students from using these AI software and set rules to strengthen monitoring, such as the introduction of testing software and the use of physical written tests.
Not everyone agrees with this restrictive view, and some educational institutions are embracing the technology, acknowledging that students must understand how to use these AI tools, as they are likely to be part of their future lives, and developing policies and guidelines for teachers and students on the use of such tools.
We believe that the biggest pitfall of education is the failure to recognize generative AI (including more broadly AI) as a game-changing technology that has profound implications for both education and society.
The example of ChatGPT is a reflection of how an AI technology that has been around for many years has quickly become mainstream.
In the future, it may be used in word processing, social media and online search, becoming a common communication technology.
Education is about preparing our next generation for the world and harnessing change. To do this, educational institutions and educators must prepare themselves.
ChatGPT is an example of how an AI technology that has been around for many years has quickly become mainstream. (GettyImages)
Rethinking what education is and why
When it comes to the future of technology, most education systems are not conceived for students.
We must ask ourselves whether the current curriculum is appropriate for today ’ s generation: why teach children something that AI might do faster, cheaper, and more accurately?
We must clearly understand that artificial intelligence and human intelligence are very different.
Generative AI like ChatGPT do not understand what is being generated and do not know the purpose of the data they provide.
Instead, humans benefit from meta-cognition, self-understanding, self-regulation, emotional intelligence, and situational intelligence.
These differences suggest that we should refocus our education system on improving the understanding of knowledge theory, including understanding what knowledge is, where it comes from, and what is good evidence.
Informed and Ethical Choices
We also need to step up the development of critical digital literacy that allows students to consider social and ethical implications and make informed choices when using new technologies. ChatGPT uses the Internet as the foundational language for machine training and provides a human response, which unfortunately leads to opportunities for ChatGPT to replicate incorrect information, as well as opportunities for racial bias and offensive language responses.
Students need to learn how to use AI to enhance human capabilities, including the ability to learn knowledge, enhance intelligence and influence the world, as well as the moral implications of AI.
This means that we need to embrace AI critically when teaching, starting with the use of AI, understanding its functions and limitations, and supplementing it with human intelligence, so that we can change the education system through AI, not just ban its use.
This active engagement is critical to enhancing the potential value that generative AI provides to education and society.
ChatGPT ’ s potential to transform education is enormous.
We can use this as a catalyst to rethink educational purposes, focusing on cultivating elements of human intelligence that AI cannot simply replicate. (GettyImages)
Using Artificial Intelligence as a Catalyst to Change Education
ChatGPT has great potential to transform education. We can use it as a catalyst to rethink education and focus on cultivating elements of human intelligence that students can ’ t simply replicate with AI.
We can use AI to improve the process of education reform, focusing on experimentation and teacher autonomy.
Finally, we should think deeply about the ethical issues we face when we use technology in our daily lives and education, and explore how we can make smarter choices that address, rather than deepen, social inequality.
Educators, technology experts, and policymakers must work together to harness the power of AI.
Potato Chips Co-Founder ’ s Club hosted the “Beyond e-Learning ” seminar on April 14, with the theme“ How We Learn and Co-Create with AI ”

Education promotes AI literacy and critical thinking, and ethical guidelines are essential for responsible AI deployment.

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Content: In recent years, the rapid development of artificial intelligence has become the focus of innovation and subversion in various industries.
One of the most groundbreaking AI developments is the emergence of generative models that have the potential to revolutionize the way we live, work and communicate.
This article delves into the fascinating journey of generative AI, tracing it from the critically acclaimed ChatGPT to the state-of-the-art Midjourney mode.
As we explore the incredible capabilities and wide-ranging implications of these AI systems, we will also discuss the challenges and ethical considerations of this powerful technology.
Join us as we explore the evolving landscape of generative AI and reveal its transformative potential for our future.
The dawn of generative artificial intelligence: the emergence of ChatGPT
ChatGPT, a language model developed by OpenAI, marks a pivotal moment in the world of generative artificial intelligence.
Built on the GPT-3 architecture, ChatGPT demonstrates a major leap forward in natural language understanding and generation, becoming a prime example of the capabilities of large-scale convertor models.
With 175 billion parameters, GPT-3 is already a powerful AI model, but ChatGPT, by fine-tuning the model specifically for conversational applications, pushes the boundaries further.
As a result, ChatGPT has shown unprecedented performance in generating human-like text, excelling at tasks such as translating, summarizing, and answering questions.
One of the most notable milestones is the release of the ChatGPT API in 2021, which provides developers with access to the model, leading to the creation of many AI-driven applications. ChatGPT ’ s success not only marks the arrival of a new era of generative AI, but also sets the stage for subsequent breakthroughs, such as the Midjourney model, which continues to push the limits of AI capabilities.
Setting the stage: The impact of ChatGPT on communication
The advent of ChatGPT has had a profound impact on the way we communicate, both professionally and personally. ChatGPT revolutionized a variety of industries and applications, from customer service to content creation, by being adept at understanding and generating human-like text.
For example, companies have adopted chatbots powered by ChatGPT to enhance the customer support experience, providing faster, more accurate, context-relevant 24-hour responses.
This has led to increased customer satisfaction and reduced workload for human support staff.
In addition, with the advent of ChatGPT, the creative world has also undergone major changes.
Content creators, journalists, and marketers can now use AI-powered writing assistants to help them generate ideas, write compelling content, and even improve their writing by offering suggestions and corrections.
This leads to increased efficiency and productivity while maintaining a high level of quality.
In personal communications, ChatGPT has enabled the development of AI-driven language learning tools, translation services, and even mental health support platforms to help remove language barriers and provide empathy support to those in need.
As ChatGPT continues to shape communication across domains, it lays the groundwork for more advanced generative AI models, such as Midjourney, that promise to further refine and expand the possibilities for human-AI collaboration.
Disrupting the industry: AI-driven content creation
The introduction of generative AI models such as ChatGPT has led to a paradigm shift in the content creation industry, ushering in a new era of AI-driven content generation.
These models demonstrate exceptional ability to understand context, style, and tone, making them valuable tools for a variety of content-related applications.
Marketing and advertising professionals are among the first to benefit from AI-driven content creation, using generative models to generate attractive copywriting, social media content, and even long blog posts.
This simplifies the workflow and allows marketers to craft tailored messages to target specific audiences more effectively.
As a result, businesses reported improved conversion rates, increased brand awareness, and increased customer engagement.
In the news and media industry, AI-driven content generation has been used to create automated news summaries, draft incident reports, and generate data-driven articles at an unprecedented rate.
This enables news organizations to provide timely and accurate information to their readers, while journalists can focus on more complex tasks such as investigative reporting and in-depth analysis.
The education sector is also witnessing a shift in AI-driven content creation as these models facilitate personalized learning experiences by generating customized learning materials, quizzes, and exercises tailored to individual learning styles and progress.
Moreover, AI-driven content creation has found its place in the entertainment industry, with generative models being used to draft scripts, create video game narratives, and even write poetry.
As generative AI continues to evolve, we can expect further disruption across industries, unlocking new creative possibilities and redefining the way we approach content creation.
The Evolution of Artificial Intelligence: From ChatGPT to Midjourney
ChatGPTMidjourney, The evolution of artificial intelligence shows the significant advances and ever-expanding potential of artificial intelligence.
With ChatGPT, natural language processing and understanding has revolutionized, paving the way for new AI models to explore different areas. Midjourney and Minecraft focus on generating images from text prompts, using this progress to transform the world of digital art and advertising.
The development of these two groundbreaking AI technologies highlights the versatility and capabilities of AI, and as progress continues, we can look forward to a more dynamic and integrated future where natural language processing and images converge to create innovative, powerful solutions in all areas.
Advances in technology: GPT-4 and beyond
As AI research evolves at an incredible pace, the development of generative models such as GPT-4 is expected to lead to more breakthroughs.
These next-generation models may leverage new technologies and architectures to address existing limitations and expand the scope of AI applications.
One of the main areas of concern for future models is to improve the efficiency and scalability of the training process, which will help reduce the computational resources and energy consumption required to develop large-scale AI systems.
Researchers are exploring techniques such as sparse attention, model compression, and distillation to create more compact and efficient models without compromising their performance.
Another key aspect of AI evolution is addressing issues related to fairness, accountability, and transparency.
Future models, such as GPT-4 and beyond, are expected to integrate advanced mechanisms to minimize bias, ensure ethical AI deployment, and provide more explainable insights into the decision-making process.
In addition, researchers are working to improve the multi-modal capabilities of AI models, enabling seamless integration and understanding of various data types such as text, images, audio, and video.
This will help develop more complex applications, from artificially-generated art and music to intelligent virtual assistants capable of understanding and responding to complex multi-modal inputs.
Finally, the future of generative AI will likely involve exploring human-AI collaborative systems, where AI models serve as valuable tools to augment human intelligence rather than replace it.
By developing AI systems that complement human skills and expertise, we can unlock the full potential of generative AI, drive innovation in countless areas and shape the future of technology.
Expand Capabilities: New Artificial Intelligence Applications
As generative AI models like GPT-4 continue to evolve, we can anticipate a range of new applications that push the boundaries of current AI capabilities.
These advances will open up new possibilities and promote innovation across industries.
Personalized medicine: AI-driven diagnostic and treatment recommendations will become increasingly precise, enabling personalized medicine that takes into account individual genetic, lifestyle, and environmental factors.
This will lead to more effective treatment plans and better patient outcomes.
• Smart cities: AI applications will play an important role in urban planning and management, optimizing energy consumption, traffic flow and waste management, and ultimately creating a more sustainable and efficient urban environment.
Scientific discovery: AI-driven large-scale data set analysis will accelerate discoveries in areas such as genomics, drug discovery, and materials science.
AI models will be able to identify patterns and generate hypotheses, facilitating a new era of data-driven scientific breakthroughs.
Creative Collaboration: Generative AI will be a valuable tool for artists, writers and musicians, enabling them to create novel and complex works by exploring and combining different ideas and styles, ultimately expanding the boundaries of human creativity.
• Emotional intelligence: Future AI models will better understand and respond to human emotions, paving the way for more compassionate and supportive virtual assistants, mental health support platforms, and personalized learning experiences.
Enhanced cybersecurity: AI-driven threat detection and response systems will become more sophisticated, enabling businesses and individuals to better protect their digital assets and maintain privacy in an increasingly interconnected world.
• Environmental protection: AI will play a key role in monitoring and protecting ecosystems, analyzing satellite imagery and sensor data to track deforestation, biodiversity loss, and climate change impacts, ultimately informing more effective conservation strategies.
These emerging AI applications will, among other things, reshape industries, improve the quality of our lives, and drive technological advances that will redefine the possibilities of the AI era.
Global Transformation: The Role of Artificial Intelligence in Society
As generative AI models such as GPT-4 continue to advance, their impact on society is becoming more profound, driving a global transformation that permeates all aspects of our lives.
This powerful technology has the potential to redefine the way we work, communicate, learn and interact with the world around us.
Evolution of the workforce: AI-driven automation will reshape the job market, streamline repetitive work and increase productivity across industries.
As a result, the workforce will shift to more creative, analytical and interpersonal roles that require constant learning and adaptation to remain competitive.
• Inclusive communication: Advanced AI-driven translation services will break down language barriers, foster cross-cultural collaboration, and foster a more connected global community.
This will open up new opportunities for international cooperation and exchange of ideas.
• Education revolution: AI-driven personalized learning experiences will democratize education, enabling learners across the globe to access high-quality resources and tailored instruction, regardless of socioeconomic status or location.
This will help close the education gap and promote lifelong learning.
Advances in healthcare: The role of AI in healthcare will continue to grow, from early diagnosis and precision medicine to virtual health assistants and telemedicine, improving access to care and improving overall health for millions of people around the world.
• Social impact: AI can be harnessed to address pressing global challenges such as climate change, poverty and inequality.
By harnessing AI-driven insights and predictive models, policymakers can make more informed decisions, develop more effective interventions, and ultimately create a more sustainable and equitable world.
Ethics and governance: As AI is increasingly integrated into society, it is critical to establish ethical guidelines, legal frameworks, and international standards to ensure responsible and transparent AI deployment, prevent unintended consequences, and promote equitable access to AI-driven benefits.
The ongoing global transformation, driven by AI technologies, presents both enormous opportunities and challenges.
As we navigate this uncharted territory, collaboration must be fostered between researchers, policymakers, industry leaders and the public to harness the potential of AI while minimizing its risks and ultimately shaping a future that benefits all of humanity.
The intersection of artificial intelligence and ethics
As AI technologies evolve and permeate every aspect of our lives, the intersection of AI and ethics becomes increasingly critical to ensure responsible and fair AI deployment.
This involves addressing several key ethical issues that arise in the development, implementation, and governance of AI systems.
• Bias and fairness: AI models may inadvertently propagate and amplify biases present in training data, leading to unfair outcomes and perpetuating existing inequalities.
Ensuring fairness in AI systems involves rigorous testing, strategies to reduce bias, and the use of diverse and representative datasets in model development.
Transparency and interpretability: Many AI systems, especially deep learning models, are often seen as “black boxes ” due to their complex internal workings.
Enhancing the transparency and interpretability of AI models is critical to building trust, promoting accountability, and making users aware of the decision-making process behind AI-generated outputs.
• Privacy and data security: AI systems often rely on large amounts of data, which raises concerns about privacy, data ownership, and security.
Building strong data protection measures, anonymization technologies, and an AI approach to protecting privacy are critical to protecting user privacy and maintaining public trust.
• Autonomy and human institutions: The growing reliance on AI-driven decision-making raises concerns about the possible erosion of human autonomy and agency.
It is necessary to strike the right balance between AI assistance and human control to ensure that AI systems augment human capabilities, not replace or destroy them.
Accountability and legal frameworks: Identifying responsibilities and obligations in situations where AI systems cause harm or make wrong decisions is a complex challenge.
Developing appropriate legal frameworks and governance structures is critical to addressing these issues and ensuring accountability in AI-driven outcomes.
• AI for Good: A fundamental ethical consideration is to ensure that AI technologies are developed and deployed for the benefit of all, rather than exacerbating existing inequalities or concentrating power in the hands of a few.
This includes promoting equitable access to AI-driven benefits and promoting AI-driven solutions to address pressing global challenges.
Addressing these ethical issues requires a multidisciplinary approach that includes collaboration between AI researchers, ethicists, policymakers, industry leaders, and the wider public.
By prioritizing ethical issues in the development and deployment of AI, we can harness the potential of this transformative technology while minimizing its risks and ultimately shaping a future that benefits all of humanity.
The Contribution of Artificial Intelligence to Sustainable Development
AI has the potential to contribute significantly to sustainable development by providing innovative solutions to complex global challenges.
By aligning AI advances with the United Nations Sustainable Development Goals (SDGs), we can use this transformative technology to create a more equitable and sustainable future for all.
No Poverty (SDG 1): AI can be used to identify areas of extreme poverty, optimize resource allocation, and improve the effectiveness of targeted interventions.
Machine learning models can also predict socioeconomic trends, enabling policymakers to develop smarter poverty reduction strategies.
Zero Hunger (SDG 2): AI-powered precision agriculture technologies can help optimize crop yields, reduce resource waste, and minimize the environmental impact of farming practices.
In addition, AI can be used to monitor and predict global food supply chains, ensuring more efficient distribution and reducing food waste.
Good Health and Well-Being (SDG 3): AI could revolutionize healthcare by enabling early diagnosis, personalized medicine, and more effective treatment plans.
In addition, AI-powered telemedicine and virtual health assistants can improve access to quality healthcare in remote or underserved areas.
Quality Education (SDG 4): AI-driven personalized learning platforms can democratize access to education, tailor teaching to individual learning styles and needs, and help close education gaps around the world.
• Gender Equality (SDG 5): AI can help identify and reduce biases in a variety of areas, including hiring, lending, and healthcare, ensuring more equitable outcomes for all genders.
In addition, AI-driven tools can be used to analyze and monitor gender disparities to inform policies aimed at promoting gender equality.
• Clean Water and Sanitation (SDG 6): AI can optimize water management and infrastructure planning to help ensure access to clean water and sanitation for all.
Machine learning models can also be used to monitor and predict water quality for timely interventions to prevent pollution.
• Affordable Clean Energy (SDG 7): AI can optimize energy consumption in buildings, transportation and industry, drive energy efficiency and reduce greenhouse gas emissions.
In addition, AI can support the integration of renewable energy into the grid and facilitate the transition to a more sustainable energy system.
• Climate Action (SDG 13): Artificial intelligence can be used to monitor and predict the impacts of climate change, make climate models more accurate, and inform mitigation and adaptation strategies.
In addition, AI-driven tools can help optimize carbon sequestration and emissions reduction initiatives.
These examples illustrate only a small part of the potential contribution of AI to sustainable development.
By prioritizing the development and deployment of AI solutions in line with the Sustainable Development Goals, we can unleash the transformative power of AI to address pressing global challenges and create a more sustainable and equitable future.
Midjourney: The Next Generation of Artificial Intelligence
Midjourney, an innovative artificial intelligence software developed by Midjourney Inc., an independent research lab based in San Francisco, is taking the AI world by storm.
This groundbreaking program is capable of generating images from natural language descriptions or “cues, ” similar to other AI tools such as OpenAI ’ s DALL-E and Stable Diffusion.
While Midjourney ’ s exact technical basis remains a topic of speculation, some experts believe it may be based on steady diffusion.
After entering the open beta phase on July 12, 2022, Midjourney, has proven itself to be a profitable business.
Led by David Holz, co-founder of Leap Motion, the Midjourney team offers its users a unique experience by leveraging Discord bot commands to create digital artwork.
Currently, the project can only be accessed through the official Discord server, which can send messages directly to the bot or invite it to a third-party server.
The user simply enters a prompt using the / imagine command, after which the robot generates a set of four images.
Users can then choose which images they want to zoom in on.
The company is also working on developing a web interface to improve accessibility.
Midjourney has three subscription levels that offer users a free trial to generate images.
Once users have completed about 25 tasks, they must subscribe to continue using the service.
David Holtz envisions artists as collaborators rather than competitors, and he says that many artists use Midjourney to quickly prototype art concepts for clients before starting their own work.
However, not everyone is excited about Midjourney ’ s impact on the art world.
Some artists argue that the platform degrades the value of original work by including it in training sets.
To address these issues, Midjourney ’ s terms of service include a DMCA removal policy that allows artists to request removal of their work from the training set if they believe it infringes their copyright.
The advertising industry has rapidly adopted AI tools such as Midjourney, DALL-E, and Stable Diffusion.
These platforms enable advertisers to effectively produce original content and brainstorm, creating countless new possibilities.
Industry experts, such as Advertising Age, predict that these AI tools could lead to personalized ads, innovative special effects, and increased efficiency in e-commerce advertising.
As Midjourney continues to make waves in AI, it ’ s clear that this next generation of AI tools has the potential to revolutionize digital art and advertising.
By providing a unique and effective way to generate images from natural language cues, Midjourney enables artists and advertisers alike to push the boundaries of creativity.
As AI technology continues to advance, it will be fascinating to see how Midjourney and similar platforms evolve to meet the changing needs of their users.
Looking forward to the future of human and artificial intelligence cooperation
As we look to the future of human-AI collaboration, we can foresee a world in which AI becomes an integral part of our daily lives, empowering humans, and transforming the way we work, learn, and communicate with each other.
This vision of the future depends on a harmonious partnership between humans and AI, in which each brings its unique strengths and expertise.
AI will increasingly automate routine and repetitive tasks in the workplace, enabling humans to focus on more creative, strategic, and complex problem-solving activities.
This shift will redefine job roles and lead to the emergence of new career paths that harness human ingenuity and compassion.
Collaboration between AI systems and human experts will drive innovation, increase productivity, and facilitate smarter decisions across industries.
There will also be a major shift in education, with personalized learning platforms driven by AI democratizing access to quality education and tailoring teaching to individual learning styles and needs.
Human teachers will continue to play a key role in guiding students, facilitating discussion, and fostering social and emotional development.
Synergies between AI and human educators will help bridge the education gap around the world and promote lifelong learning.
In healthcare, AI will assist healthcare professionals in diagnosing diseases, designing personalized treatment plans, and monitoring patient progress.
Collaboration between AI-driven tools and human expertise will improve the accuracy and efficiency of healthcare services, lead to better patient health outcomes, and reduce the burden on healthcare professionals.
The future of human-AI collaboration will also need to address ethical considerations and ensure responsible AI deployment.
A strong partnership between humans and AI systems will require AI technologies that are transparent, unbiased and protect privacy, respect human autonomy and promote trust.
Policymakers, researchers, and industry leaders will need to work together to establish ethical guidelines, legal frameworks, and international standards to navigate the challenges posed by the widespread integration of AI into society.
Ultimately, the future of human-AI collaboration envisions a world where AI enhances human capabilities, empowers individuals, and drives sustainable development.
By promoting a harmonious partnership between humans and AI, we can unlock the full potential of this transformative technology to shape a brighter future for all.
Preparing for a Generative World Driven by Artificial Intelligence
As generative AI models continue to advance and shape our world, individuals, organizations, and governments must adapt and be prepared to deal with the far-reaching impact of these technologies.
Here are some key steps to help navigate a generative AI-driven world:
Education and skills development: Continuous learning and improving skills are essential for individuals to remain relevant in the workforce.
Emphasis on digital knowledge, programming, data analysis, and other AI-related skills will be critical, along with honing creativity, critical thinking, and emotional intelligence, all of which are unique to humans and complement AI capabilities.
Industry Transformation: Businesses and organizations must keep up with AI developments and explore how generative AI models can be used to optimize their operations, drive innovation, and enhance decision-making.
This could involve investing in AI research and development, integrating AI-driven tools into existing workflows, and redefining work roles to support human-AI collaboration.
Regulatory framework and ethics: Governments and policymakers should strive to establish a comprehensive regulatory framework and ethical guidelines for the development and deployment of AI.
These guidelines should address issues such as bias, transparency, privacy and accountability to ensure responsible and fair AI integration into society.
• AI infrastructure and investments: Ensuring access to a robust AI infrastructure, including high-speed internet, computing resources, and advanced algorithms, is critical to the development and widespread adoption of generative AI models.
Governments and private sector entities should work together to invest in AI research, infrastructure and start-ups to promote a thriving AI ecosystem.
• Workforce Transition Support: As AI technologies lead to shifts in the job market, governments and organizations must support workforce transitions, including retraining programs, career counseling, and social safety nets to help individuals adapt to new job roles and opportunities in an AI-driven world.
• Public awareness and engagement: Raising public awareness of the potential benefits and risks of generative AI is essential to ensure informed decision-making and promote healthy public discussion about the role of AI in society.
Encouraging collaboration among AI researchers, ethicists, policymakers, and the wider public will promote a more inclusive and diverse view of the impact and potential applications of AI.
By taking these positive steps, individuals, organizations, and governments can effectively prepare for a world powered by AI, maximizing the benefits of this transformative technology while minimizing risks and ensuring a fairer and sustainable future for all.
The importance of AI literacy
In today ’ s rapidly evolving digital landscape, where artificial intelligence is increasingly present and influential in all aspects of our lives, AI knowledge has become increasingly important.
AI literacy refers to an understanding of AI concepts, principles, and applications, as well as the ability to engage critically and responsibly in AI technologies.
Developing AI literacy is critical for the following reasons:
• Informed decision making: AI knowledge enables individuals to make informed decisions when interacting with AI-driven tools and services.
A basic understanding of AI principles helps people assess the potential benefits, risks, and limitations of AI technologies, enabling them to make more informed choices in their personal and professional lives.
• Ethical considerations: AI knowledge promotes awareness of ethical issues surrounding AI, such as bias, privacy, transparency, and accountability.
By understanding these issues, individuals can engage in meaningful conversations about responsible AI development and deployment, helping to shape ethical guidelines and regulatory frameworks for managing AI technologies.
• Workforce readiness: As AI continues to transform industries and job roles, AI knowledge equips individuals with the necessary skills and knowledge to adapt to an AI-driven workforce.
Individuals can improve their employability and thrive in an increasingly automated job market by developing AI-related skills such as programming, data analytics, and machine learning.
• AI adoption and trust: AI knowledge contributes to the successful adoption of AI technologies across all sectors.
By understanding the capabilities and limitations of AI, individuals can better understand how AI complements and enhances human capabilities, promotes trust and drives the integration of AI solutions across different applications.
Empowerment and inclusion: AI knowledge helps ensure that more people have access to the benefits of AI.
By promoting AI education and awareness, we can engage individuals from diverse backgrounds in the development, deployment, and governance of AI technologies to promote a more inclusive and equitable AI-driven world.
Critical Thinking and Creativity: Developing AI knowledge encourages critical thinking and creativity as individuals learn to navigate the complex interactions between humans and AI systems.
This promotes a deeper understanding of how AI can be used to solve problems, drive innovation, and improve human capabilities.
In summary, AI knowledge is critical in today ’ s AI-driven world as it empowers individuals to make informed decisions, address ethical issues, adapt to a changing workforce, and contribute to the responsible development and deployment of AI technologies.
By investing in AI education and promoting broad AI knowledge, we can ensure a more inclusive, equitable and sustainable future driven by AI.
Strategies for realizing the full potential of artificial intelligence
Harnessing the full potential of AI requires individuals, organizations, and governments to take a proactive, collaborative approach in order to effectively maximize its positive impact.
To do this, it is critical to promote AI education and literacy among people of different ages and professional backgrounds.
This will enable informed decision-making, critical thinking and responsible participation in AI technologies.
Emphasizing the importance of cooperation between humans and AI systems will help maximize the benefits for both parties.
By combining the unique strengths of humans and AI, productivity, innovation and problem-solving can be significantly improved.
Establishing a comprehensive ethical framework and guidelines for the development and deployment of AI is critical to addressing issues such as bias, transparency, privacy, and accountability.
This will ensure responsible and fair AI integration into society.
Public-private sector partnerships could be promoted by promoting cooperation between Governments, private sector entities, academic institutions and non-governmental organizations.
This partnership will support AI research, development and adoption, drive innovation, create jobs, and foster a thriving AI ecosystem.
Investments in AI infrastructure, research, and start-ups are critical to providing robust AI resources such as high-speed internet, computing resources, and advanced algorithms.
This will support the development and widespread adoption of cutting-edge AI technologies.
Inclusion and diversity in AI research, development and governance should be promoted.
Encouraging the participation of individuals with diverse backgrounds, skills, and perspectives will ensure a more equitable distribution of AI-driven benefits and a better understanding of potential risks and challenges.
Focusing on sustainable development and harnessing the potential of AI to solve global challenges is key.
In areas such as healthcare, education, energy, agriculture and environmental management, AI-driven solutions can contribute to social, economic and environmental well-being.
Adjusting the legal and regulatory framework to take into account the unique challenges and opportunities presented by AI technologies is necessary.
In an AI-driven environment, it is critical to implement policies that protect individual rights, ensure safety and security, and promote fair competition.
Finally, international cooperation in AI research, development and policy development should be encouraged.
Sharing knowledge, resources and best practices across borders will help address global challenges and harness the collective potential of AI technologies.
By adopting these strategies, stakeholders can effectively harness the full potential of AI, drive innovation, improve human capabilities, and promote sustainable development.
Through a proactive and collaborative approach, we can shape a future in which AI technologies are responsibly developed and deployed for the benefit of all.

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

The European Union regulates AI systems based on risk levels.

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Content: The EU AI Act Overview

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Papilio Services Limited, established in 2012, is based in Malta with sister companies in the Netherlands and the Czech Republic. The firm boasts a multinational team and a diverse client base, providing cross-border solutions in Corporate, Tax Compliance, and Residency services on a global scale.
The European Parliament achieved a key milestone by adopting the landmark Artificial Intelligence Act, paving the way for the European Union's first complete legal framework for artificial intelligence (AI).
European Union Technology
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The European Parliament achieved a key milestone by adopting the landmark Artificial Intelligence Act, paving the way for the European Union's first complete legal framework for artificial intelligence (AI). This pioneering law seeks to achieve a compromise between the AI industry's need for innovation and the imperatives of upholding fundamental rights and guaranteeing the security and reliability of AI systems. The EU's determination to lead the world in ethical AI governance is reflected in the EU AI Act which upholds citizens' rights and interests while promoting a strong technological environment.

Ensuring Safety and Protecting Rights

The primary objective of the EU AI Act is to establish a regulatory environment that ensures AI systems deployed within the EU are safe, transparent, and respect fundamental rights. This is achieved through a risk-based approach that categorises AI systems into different risk levels, each with corresponding regulatory requirements. High-risk AI systems, which pose significant risks to health, safety, or fundamental rights, are subject to stringent regulations, including rigorous testing, documentation, and human oversight.

The EU AI Act mandates that AI systems must be designed and developed in a manner that upholds fundamental rights, such as privacy, non-discrimination, and data protection. This emphasis on fundamental rights reflects the EU's commitment to creating a human-centric AI landscape, where technology serves the needs and values of society. By prioritizing the safety and rights of individuals, the legislation aims to build public trust in AI technologies, which is crucial for their widespread adoption and acceptance.

Boosting Innovation and Competitiveness

The EU AI Act aims to encourage innovation and competitiveness in the AI industry even as it places stringent limitations on high-risk AI systems. The law contains provisions intended to aid in the creation and application of AI technology, especially for startups and small and medium-sized businesses (SMEs). The intention is to foster innovation by lowering administrative burdens and offering clear legislative rules, which will promote the development of a thriving AI ecosystem in Europe.

Focusing on encouraging cooperation between the public and private sectors is one of the main features of the EU AI Act. To guarantee that AI technologies are created in accordance with societal needs and values, the act promotes collaboration and partnerships between researchers, developers, and regulatory organisations.

By adopting a risk-based approach to regulation, it recognises that not all AI systems pose the same level of risk. The legislation classifies AI systems into three main categories: unacceptable risk, high risk, and limited risk. This tiered approach allows the EU to tailor its regulatory framework to the specific risks associated with different AI applications, ensuring that regulations are proportionate and effective.

Transparency and Accountability

Transparency and accountability are key to the EU AI Act's principles. The law requires AI systems to be open about how they operate and make decisions, especially those that are deemed high-risk. This entails giving consumers information that is easy to comprehend regarding the operation of AI systems, the data they use, and the reasoning behind their choices.

The statute mandates that high-risk AI systems be created in a way that permits efficient human intervention, underscoring the significance of human control. This guarantees that people maintain control and have the ability to step in when needed to stop damage or fix mistakes, and to ensure that AI technologies are used responsibly and ethically by increasing accountability and transparency.

EU Leadership in AI Governance

The adoption of the EU AI Act establishes the EU as a global leader in AI governance, laying the groundwork for other governments and regions to follow. The EU wants to ensure that AI technologies are used responsibly and ethically, making a positive impact on society, by creating a thorough legal framework.

The EU's commitment to advancing global collaboration in AI governance is also reflected in the legal framework. The law has measures for working together with foreign partners, including exchanging best practices and creating international standards. The EU aims to provide a harmonised legal framework that protects fundamental rights, ensures the safe use of AI technologies, and promotes innovation through international cooperation.

EU AI Act Next steps

The regulation will enter into force 20 days after its publication in the official journal and be directly applicable to 27 Member States, including Malta, on 2nd August 2026, except for bans on prohibited practises, which will apply 6 months after the entry into force date; codes of practise (9 months after entry into force); general-purpose AI rules including governance (12 months after entry into force); and obligations for high-risk systems (36 months).

Businesses will have to ensure alignment with the following:

  • Inventory all AI systems that you have (or will have) developed or deployed, and establish if any of them are subject to the EU AI Act.
  • In order to ascertain the risk categorization of the in-scope AI systems and the relevant compliance requirements, evaluate and classify the systems.
  • Acknowledge your company's place in pertinent AI value chains, the related compliance requirements, and the means by which these requirements will be fulfilled. All functions accountable for the AI systems along the value chain must incorporate compliance throughout the systems' lifecycle.
  • Understand the additional risks (such as interacting with other EU or non-EU rules, such as those pertaining to data privacy) and opportunities (such as providing access to AI Act sandboxes for innovators, small and medium-sized businesses, and others) that the AI Act presents to the strategy and operations of your organisation.
  • Develop and implement a plan to guarantee that, upon the Act's implementation, the proper risk and control systems, quality management, documentation, accountability and governance frameworks, and monitoring are in place.

The purpose of this article is to provide a general overview of the subject matter. Should you require additional information please refer to Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024.

The content of this article is intended to provide a general guide to the subject matter. Specialist advice should be sought about your specific circumstances.

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High-risk AI systems must be rigorously tested, overseen by humans, and designed to uphold privacy and data protection rights.

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

Hinton's warnings about AI dangers highlight the need for careful regulation and prioritizing safety in AI research.

Title:

Content: Global Warning: Artificial Intelligence Threatens Extinction of Humanity
2023 / 05 / 30 | 22: 13 - Source: Baghdad Today
(News of the Day) - Baghdad Today - Follow
A group of scientists and technology experts on Tuesday issued a new statement on what they called the dangers posed by artificial intelligence, calling for the need to confront them as the world faces crises such as epidemics and nuclear wars.
“Mitigating the risk of human extinction from artificial intelligence should be a global priority with other risks such as pandemics and nuclear war. ”
Notable signatories to the statement include Sam Altman, CEO of OpenAI, who is responsible for the program “Chat GBT ”, Jeffrey Hinton, a computer scientist known as the father of artificial intelligence, Kevin Scott, chief technology officer at Microsoft, and others.
The statement focuses on growing concerns about the threat of artificial intelligence, with experts in the technology saying that the world is still far from developing the types of artificial intelligence that reach the limits of science fiction.
But with increased investment and ongoing debate over the AI industry, there have been calls for the technology to be regulated before disasters strike.
Concerns are growing about AI systems that may override human intelligence or get out of control with the emergence of a new generation of high-powered AI chatbots such as Chat GBT.
More than 1,000 researchers and technology experts, including Twitter and Tesla owner Elon Musk, signed a letter earlier this year calling for a six-month moratorium on the development of artificial intelligence systems, which could pose significant risks to society and humanity.
Dan Hendricks, director of the Center for Artificial Intelligence Safety, said in a tweet Tuesday that this statement will not hinder society from facing other forms of AI-induced risks such as bias or misinformation.
Hendricks compared the statement to warnings by nuclear scientists about what they had already made.
Countries around the world have begun to take steps to draft regulations and rules related to the development of artificial intelligence technology, and the European Union announced the “artificial intelligence ” law expected to be passed later this year.
Hinton, the spiritual father of artificial intelligence, told The New York Times that applications like the chatbot “can indeed turn into a tool for spreading misinformation, and may very soon pose a threat to jobs and to humanity as a whole. ”
President Joe Biden has previously urged Congress to pass laws that would place stricter restrictions on the tech sector.
The White House has urged new steps to “promote responsible American innovation in artificial intelligence, ” including a $140 million fund to expand research on artificial intelligence and a rating system to work with big companies to“ correct ” some of the controversies around artificial intelligence.
OpenAI launched the chatbot in November and has been popular with users, but there have been significant privacy concerns, political bias, or other security concerns related to the software.
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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?