/* ---- Google Analytics Code Below */
Showing posts with label china. Show all posts
Showing posts with label china. Show all posts

Tuesday, July 11, 2023

Future beyond Chatbots: Huawei focuses on AI's Impact and Weather

HUAWEI CLOUD Releases Pangu 3.0

Published: Jul. 10, 2023 at 2:32 AM EDT

Note specifics on weather forecasting

Shaping the Future beyond Chatbots: Huawei focuses on AI's Impact on Industry Transformation

DONGGUAN, China, July 10, 2023 /PRNewswire/ -- Huawei is bringing forth new industry opportunities and technological advancements driven by the AI wave. During his keynote speech at Huawei's Developer Conference, Zhang Ping'an, Huawei Executive Director and CEO of HUAWEI CLOUD, unveiled the Pangu Model 3.0 and Ascend AI cloud services. These innovations aim to empower industry customers and partners and unlock the potential of artificial intelligence for transformative growth across a range of sectors.

Pangu Models 3.0 is a system of pre-trained models that can be quickly adapted to meet scenario-specific needs and address complex challenges across multiple industries. By leveraging large-scale data sets and machine learning algorithms, Pangu 3.0 is set to revolutionize the industrial application of AI in diverse areas such as weather forecasting, drug development, fault identification in trains, and the mining industry.

Mr. Zhang said: "Huawei Cloud Pangu models will empower everyone from every industry with an intelligent assistant, making them more productive and efficient. We will uphold our mission of "AI for Industries", and use Pangu models to reshape all industries with AI."  ,,, ' 

Saturday, July 08, 2023

China Releases Its First Open Source Operating System

 China Releases Its First Open Source Operating System

Reuters, Josh Ye, July 6, 2023

Chinese state media reports that nation has released its first domestic open source desktop computer operating system, in a bid to reduce its dependence on U.S. technology. About 4,000 developers built the Linux-based OpenKylin system, which China's space program, and industries including finance and energy, already are using. China's technology industry has focused on designing an operating system that has no reliance on U.S. tech in recent years; more than a dozen Chinese companies are involved in that effort.  ... ' 

Tuesday, July 04, 2023

China's Ernie Bot 3.5: Surpassing OpenAI's GPT-4 in AI Race

Has China delayed their AI development?  Read about Baidu/Ernie elsewhere , but have not Tried it.

China's Ernie Bot 3.5: Surpassing OpenAI's GPT-4 in the AI Race

https://www.youtube.com/watch?v=sdXmsjLdDo0 

https://www.youtube.com/@airevolutionx

2,410 views  Jul 3, 2023  #erniebot #baidu #ai

Chinese tech giant Baidu's latest AI creation, Ernie Bot, outperforms ChatGPT and GPT-4 in several tests and boasts unique features such as plugins and search integration. With superior scores in admission exams, multiple-choice question evaluations, and U.S. university-developed GLUE-CoQa tests, Ernie Bot signifies Baidu's serious entry into the competitive world of AI, challenging other global tech titans. ... ' 

Tuesday, June 27, 2023

One Key Challenge for Diplomacy on AI: China’s Military Does Not Want to Talk

 Read the  Andreessen piece as well, relates to this. 

One Key Challenge for Diplomacy on AI: China’s Military Does Not Want to Talk

Commentary by Gregory C. Allen

Published May 20, 2022

Over the past 10 years, artificial intelligence (AI) technology has become increasingly critical to scientific breakthroughs and technology innovation across an ever-widening set of fields, and warfare is no exception. In pursuit of new sources of competitive advantage, militaries around the world are working to accelerate the integration of AI technology into their capabilities and operations. However, the rise of military AI has brought with it fears of a new AI arms race and a potential new source of unintended conflict escalation. In the May/June 2022 issue of Foreign Affairs, Michael C. Horowitz, Lauren Kahn, and Laura Resnick Samotin write:

The United States, then, faces dueling risks from AI. If it moves too slowly, Washington could be overtaken by its competitors, jeopardizing national security. But if it moves too fast, it may compromise on safety and build AI systems that breed deadly accidents. Although the former is a larger risk than the latter, it is critical that the United States take safety concerns seriously.

Such fears are not entirely unfounded. Machine learning, the technology paradigm at the heart of the modern AI revolution, brings with it not only opportunities for radically improved performance, but also new failure modes. When it comes to traditional software, the U.S. military has decades of institutional muscle memory related to preventing technical accidents, but building machine learning systems that are reliable enough to be trusted in safety-critical or use-of-force applications is a newer challenge. To its credit, the Department of Defense (DOD) has devoted significant resources and attention to the problem: partnering with industry to make commercial AI test and evaluation capabilities more widely available, announcing AI ethics principles and releasing new guidelines and governance processes to ensure their robust implementation, updating longstanding DOD system safety standards to pay extra attention to machine learning failure modes, and funding a host of AI reliability and trustworthiness research efforts through organizations like the Defense Advanced Research Projects Agency (DARPA).

However, even if the United States were somehow to successfully eliminate the risk of AI accidents in its own military systems—a bold and incredibly challenging goal, to be sure—it still would not have solved risks to the United States from technical failures in Russian and Chinese military AI systems. What if a Chinese AI-enabled early warning system erroneously announces that U.S. forces are launching a surprise attack? The resulting Chinese strike—wrongly believed to be a counterattack—could be the opening salvo of a new war.

In recognition of this risk, the National Security Commission on Artificial Intelligence recommended in its March 2021 final report that the DOD engage in diplomacy with the Chinese military to “discuss AI’s impact on crisis stability.” More recently, Ryan Fedasiuk wrote in last month’s Foreign Policy that “it is more important than ever that the United States and China take steps to mitigate existential threats posed by AI accidents.”

It is not only Americans who have written about the need for a diplomatic dialogue on this subject. In 2020, Zhou Bo, a senior colonel in the People’s Liberation Army (PLA), wrote an op-ed in the New York Times in which he argued,

As China’s military strength continues to grow, and it closes the gap with the United States, both sides will almost certainly need to put more rules in place, not only in areas like antipiracy or disaster relief—where the two countries already have been cooperating—but also regarding space exploration, cyberspace and artificial intelligence.  .... ' 

Friday, June 16, 2023

Good News! China and the US Are Talking About AI Dangers

This apparent change sounds good, if our own Gvt does not stifle us.

Good News! China and the US Are Talking About AI Dangers

ACM NEWS     By Wired  June 16, 2023

Wherever you stand on the doomsday debate, there’s something nice about the U.S. and China sharing views on AI.

Sam Altman, the CEO of OpenAI, recently said that China should play a key role in shaping the guardrails that are placed around the technology.

"China has some of the best AI talent in the world," Altman said during a talk at the Beijing Academy of Artificial Intelligence (BAAI) last week. "Solving alignment for advanced AI systems requires some of the best minds from around the world—and so I really hope that Chinese AI researchers will make great contributions here."

Altman is in a good position to opine on these issues. His company is behind ChatGPT, the chatbot that's shown the world how rapidly AI capabilities are progressing. Such advances have led scientists and technologists to call for limits on the technology. In March, many experts signed an open letter calling for a six-month pause on the development of AI algorithms more powerful than those behind ChatGPT. Last month, executives including Altman and Demis Hassabis, CEO of Google DeepMind, signed a statement warning that AI might someday pose an existential risk comparable to nuclear war or pandemics.

View Full Article    

Wednesday, June 14, 2023

China Invests in Open Source Intelligence from Pentagon

 Christopher Ahlberg writes:

@cahlberg    Thrilled to see the @nytimes   write up on the great research by the Insikt team at 

@RecordedFuture  Quote Tweet The New York Times @nytimes Jun 1

China is investing deeply in open-source intelligence from the Pentagon, think tanks and private companies to learn more about the capabilities of the U.S. military in the Pacific and beyond, according to a new report. https://nyti.ms/43iXyZQ   ...  '  

China and AI

From ChatGBT:

China has been actively exploring and investing in the military applications of artificial intelligence (AI). They view AI as a critical component in modernizing their military capabilities. Some potential military uses of AI in China include:

1. Autonomous Weapons: China is developing unmanned systems, including autonomous drones and ground vehicles, that can be used for surveillance, reconnaissance, and combat purposes. AI enables these systems to make decisions and operate independently, reducing the need for human intervention.

2. Cybersecurity: AI technologies are employed to enhance China's cybersecurity defenses and strengthen its capabilities in countering cyber threats. AI algorithms can help detect and respond to cyberattacks more effectively by analyzing large volumes of data and identifying patterns of malicious activity.

3. Command and Control Systems: China is exploring the use of AI in command and control systems, which would allow for more efficient decision-making and coordination of military operations. AI can help process and analyze vast amounts of data in real-time, providing commanders with actionable insights.

4. Intelligence and Surveillance: AI-powered surveillance systems, such as facial recognition and pattern recognition technologies, are being utilized to enhance China's intelligence gathering capabilities. These systems can process massive amounts of data from various sources to identify and track potential threats.

5. Offensive and Defensive Cyber Operations: China is developing AI-driven tools for both offensive and defensive cyber operations. AI can be used to automate cyberattacks, enhance reconnaissance capabilities, and optimize defensive strategies to protect critical infrastructure and networks.

It's important to note that the information available is based on public knowledge up until September 2021, and the specific details of China's military use of AI may have evolved since then.

Tuesday, June 13, 2023

AI Diplomacy with China?

One Key Challenge for Diplomacy on AI: China’s Military Does Not Want to Talk

Commentary by Gregory C. Allen   in Csis.com

Published May 20, 2022

Over the past 10 years, artificial intelligence (AI) technology has become increasingly critical to scientific breakthroughs and technology innovation across an ever-widening set of fields, and warfare is no exception. In pursuit of new sources of competitive advantage, militaries around the world are working to accelerate the integration of AI technology into their capabilities and operations. However, the rise of military AI has brought with it fears of a new AI arms race and a potential new source of unintended conflict escalation. In the May/June 2022 issue of Foreign Affairs, Michael C. Horowitz, Lauren Kahn, and Laura Resnick Samotin write:

The United States, then, faces dueling risks from AI. If it moves too slowly, Washington could be overtaken by its competitors, jeopardizing national security. But if it moves too fast, it may compromise on safety and build AI systems that breed deadly accidents. Although the former is a larger risk than the latter, it is critical that the United States take safety concerns seriously.

Such fears are not entirely unfounded. Machine learning, the technology paradigm at the heart of the modern AI revolution, brings with it not only opportunities for radically improved performance, but also new failure modes. When it comes to traditional software, the U.S. military has decades of institutional muscle memory related to preventing technical accidents, but building machine learning systems that are reliable enough to be trusted in safety-critical or use-of-force applications is a newer challenge. To its credit, the Department of Defense (DOD) has devoted significant resources and attention to the problem: partnering with industry to make commercial AI test and evaluation capabilities more widely available, announcing AI ethics principles and releasing new guidelines and governance processes to ensure their robust implementation, updating longstanding DOD system safety standards to pay extra attention to machine learning failure modes, and funding a host of AI reliability and trustworthiness research efforts through organizations like the Defense Advanced Research Projects Agency (DARPA).

However, even if the United States were somehow to successfully eliminate the risk of AI accidents in its own military systems—a bold and incredibly challenging goal, to be sure—it still would not have solved risks to the United States from technical failures in Russian and Chinese military AI systems. What if a Chinese AI-enabled early warning system erroneously announces that U.S. forces are launching a surprise attack? The resulting Chinese strike—wrongly believed to be a counterattack—could be the opening salvo of a new war.

In recognition of this risk, the National Security Commission on Artificial Intelligence recommended in its March 2021 final report that the DOD engage in diplomacy with the Chinese military to “discuss AI’s impact on crisis stability.” More recently, Ryan Fedasiuk wrote in last month’s Foreign Policy that “it is more important than ever that the United States and China take steps to mitigate existential threats posed by AI accidents.”

It is not only Americans who have written about the need for a diplomatic dialogue on this subject. In 2020, Zhou Bo, a senior colonel in the People’s Liberation Army (PLA), wrote an op-ed in the New York Times in which he argued,

As China’s military strength continues to grow, and it closes the gap with the United States, both sides will almost certainly need to put more rules in place, not only in areas like antipiracy or disaster relief—where the two countries already have been cooperating—but also regarding space exploration, cyberspace and artificial intelligence.

Other Chinese officials—including Fu Ying, the vice chair of the China’s National People’s Congress Foreign Affairs Committee—have published similar calls for U.S.-China diplomacy on AI risk reduction. Even the Global Times, a newspaper owned and published by the Chinese Communist Party, ran an English-language article in November 2021 with the headline “China urges regulating military use of AI, first time in UN history, showing global responsibility.” Clearly China believes that calls for diplomacy on military AI are good for its global reputation.

Substantive diplomacy on this topic is worth pursuing and, if successful, could meaningfully contribute to reducing the risk of a future U.S.-China conflict. With such loud public support in prominent Chinese venues, one might think that the U.S. military need only ask in order to begin a dialogue on AI risk reduction with the Chinese military.

Alas, during my tenure as the Director of Strategy and Policy at the DOD Joint Artificial Intelligence Center, the DOD did just that, twice. Both times the Chinese military refused to allow the topic on the agenda.   .. 

Thursday, June 01, 2023

China Advances in AI

Excerpt from ChatGPT,  General Statement,   China Status and  Advances

China has made significant advancements in the field of artificial intelligence (AI) in recent years. The Chinese government has prioritized AI development as part of its broader strategy to become a global leader in technology and innovation. China has invested heavily in AI research, development, and application across various sectors, including healthcare, transportation, finance, and manufacturing.

Chinese tech companies such as Baidu, Alibaba, and Tencent, often referred to as BAT, have been at the forefront of AI innovation in China. They have developed AI-powered products and services, ranging from voice recognition and natural language processing to autonomous vehicles and facial recognition systems. These companies have also been actively involved in partnerships and collaborations with both domestic and international organizations to further AI research and development.

China has also implemented AI technologies for various purposes, including surveillance and social credit systems. Facial recognition technology is extensively used in public spaces for security purposes, but it has raised concerns about privacy and human rights.

It's important to note that AI development in China is influenced by government policies and regulations. The Chinese government has introduced initiatives like the "New Generation Artificial Intelligence Development Plan" to foster AI growth and establish a comprehensive AI ecosystem. They have also emphasized the importance of AI in achieving national goals and promoting economic development.

However, it's worth mentioning that discussions around AI in China also involve considerations about ethical implications, privacy concerns, and potential biases in AI algorithms. These issues are being addressed through various efforts, including the development of AI ethics guidelines and regulations.

Overall, China has made substantial progress in AI research, development, and application, positioning itself as a significant player in the global AI landscape.  ... ' 

Followed with  'China Chat Advances .... '  'China Military Uses of AI'  ....


Tackling the Data Collection Behind China’s AI ambitions

Course China is tapping AI based data some examples here.     Via Brookings.edu

How to tackle the data collection behind China’s AI ambitions

April 29, 2022 Jessica Dawson and Tarah WheelerThe United States and China are increasingly engaged in a competition over who will dominate the strategic technologies of tomorrow. No technology is as important in that competition as artificial intelligence: Both the United States and China view global leadership in AI as a vital national interest, with China pledging to be the world leader by 2030. As a result, both Beijing and Washington have encouraged massive investment in AI research and development.

Yet the competition over AI is not just about funding. In addition to investments in talent and computing power, high-performance AI also requires data—and lots of it. The competition for AI leadership cannot be won without procuring and compiling large-scale datasets. Although we have some insight into Chinese A.I. funding generally—see, for example, a recent report from the Center for Security and Emerging Technology on the People’s Liberation Army’s AI investments—we know far less about China’s strategy for data collection and acquisition. Given China’s interest in integrating cutting-edge AI into its intelligence and military enterprise, that oversight represents a profound vulnerability for U.S. national security. Policymakers in the White House and Congress should thus focus on restricting the largely unregulated data market not only to protect Americans’ privacy but also to deny China a strategic asset in developing their AI programs.

China’s data-hungry AI projects

Attempts to discover how China’s security agencies are leveraging data for AI development are foiled by, among other things, a lack of international transparency around data flows as well as China’s own regulatory efforts. Domestically, China passed a major cybersecurity law in 2017 that dramatically increased data protection and data localization requirements for firms operating there. Internationally, China launched the Global Initiative on Data Security in September 2020, an effort designed in part to convince Belt and Road countries to adopt its data security practices and standards. The efforts lend credence to the importance of “data security” while nonetheless providing greater authorities and capabilities for Chinese officials and agencies to access individual-level data at home and abroad. 

China’s regulatory and policy efforts on data security have helped to accelerate its AI development, even as much of the data it uses remains opaque. Chinese authorities view automated mass surveillance systems as a tool to maintain the Communist Party’s hold on power. These systems are built on large stores of data—some of it acquired illicitly from U.S. companies and systems. By virtue of being home to nearly 20% of the global population, China has an advantage in its ability to gather a wide variety of data through multiple avenues. Combined with its Belt and Road Initiative, the Chinese government is laying what the UK foreign intelligence chief recently described as “data traps”—expansive efforts to collect critical data and undermine national sovereignty.

China’s most well-documented use of automated systems for social control is its genocidal campaign against the Uighur minority in Xinjiang. Systems there rely on up to 60 data points to determine if someone is in need of “reeducation,” as PBS Frontline reported in 2020. In order to build this system, Chinese developers and officials first had to define Uighur identity in a way that is comprehensible to a computer, requiring the collection of huge amounts of data to build the necessary algorithms. These data points include communication data, video surveillance, DNA samples collected at checkpoints, and whether someone has grown a beard or quit smoking. With this data, the Communist Party has built a surveillance machine and tool of social control that uses AI to identify individuals allegedly susceptible to radicalization and can even follow Uighurs around the world.  .... ' 

Monday, May 29, 2023

Can China overtake the US in the AI Marathon?

ChatGPT: Can China overtake the US in the AI marathon?

By Derek Cai & Annabelle Liang in  BBC News

Artificial intelligence has emerged as enough of a concern that it made it onto what was already a packed agenda at the G7 summit at the weekend.

Concerns about AI's harmful impact coincide with the US' attempts to restrict China's access to crucial technology.

For now, the US seems to be ahead in the AI race. And there is already the possibility that current restrictions on semiconductor exports to China could hamper Beijing's technological progress.

But China could catch up, according to analysts, as AI solutions take years to be perfected. Chinese internet companies "are arguably more advanced than US internet companies, depending on how you're measuring advancement," Kendra Schaefer, head of tech policy research at Trivium China tells the BBC.

However, she says China's "ability to manufacture high-end equipment and components is an estimated 10 to 15 years behind global leaders."

The Silicon Valley factor

The US' biggest advantage is Silicon Valley, arguably the world's supreme entrepreneurial hotspot. It is the birthplace of technology giants such as Google, Apple and Intel that have helped shape modern life.

Innovators in the country have been helped by its unique research culture, says Pascale Fung, director of the Center for Artificial Intelligence Research at the Hong Kong University of Science and Technology.

Researchers often spend years working to improve a technology without a product in mind, Ms Fung says.

OpenAI, for example, operated as a non-profit company for years as it researched the Transformers machine learning model, which eventually powered ChatGPT.

"This environment never existed in most Chinese companies. They would build deep learning systems or large language models only after they saw the popularity," she adds. "This is a fundamental challenge to Chinese AI."

US investors have also been supportive of the country's research push. In 2019, Microsoft said it would put $1bn (£810,000) in to OpenAI.

"AI is one of the most transformative technologies of our time and has the potential to help solve many of our world's most pressing challenges," Microsoft chief executive Satya Nadella said.

China's edge

China, meanwhile, benefits from a larger consumer base. It is the world's second-most populous country, home to roughly 1.4 billion people.

It also has a thriving internet sector, says Edith Yeung, a partner at the Race Capital investment firm.  ... '  (more)

Wednesday, May 17, 2023

Peking University Researchers Introduce FastServe:

  Level of this advance, revealing it?

Peking University Researchers Introduce FastServe: A Distributed Inference Serving System For Large Language Models LLMs

By Aneesh Tickoo- May 16, 2023

https://arxiv.org/abs/2305.05920

Large language model (LLM) improvements create opportunities in various fields and inspire a new wave of interactive AI applications. The most noteworthy one is ChatGPT, which enables people to communicate informally with an AI agent to resolve problems ranging from software engineering to language translation. ChatGPT is one of the fastest-growing programs in history, thanks to its remarkable capabilities. Many companies follow the trend of releasing LLMs and ChatGPT-like products, including Microsoft’s New Bing, Google’s Bard, Meta’s LLaMa, Stanford’s Alpaca, Databricks’ Dolly, and UC Berkeley’s Vicuna. 

LLM inference differs from another deep neural network (DNN) model inference, such as ResNet, because it has special traits. Interactive AI applications built on LLMs must provide inferences to function. These apps’ interactive design necessitates quick job completion times (JCT) for LLM inference to deliver engaging user experiences. For instance, consumers anticipate an immediate response when they submit data into ChatGPT. However, the inference serving infrastructure is under great strain due to the number and complexity of LLMs. Businesses set up pricey clusters with accelerators like GPUs and TPUs to handle LLM inference operations. 

DNN inference jobs are often deterministic and highly predictable, i.e., the model and the hardware largely determine the inference job’s execution time. For instance, the execution time of various input photos varies a little while using the same ResNet model on a certain GPU. LLM inference positions, in contrast, have a unique autoregressive pattern. The LLM inference work goes through several rounds. Each iteration produces one output token, which is then added to the input to make the subsequent token in the following iteration. The output length, which is unknown at the outset, affects both the execution time and input length. Most deterministic model inference tasks, like those performed by ResNet, are catered for by existing inference serving systems like Clockwork and Shepherd.   .... ' 

Tuesday, May 16, 2023

A Look at China's Ambitious Generative AI and related Regulations.

Fascinating, regarding direction and regulation ....  Here just an overview. 

Freedom to Tinker

Research and commentary on digital technologies in public life

Decoding China’s Ambitious Generative AI Regulations

APRIL 16, 2023 BY JUSTIN CURL LEAVE A COMMENT   By Sihao Huang and Justin Curl

On April 11th, 2023, China’s top internet regulator proposed new rules for generative AI. The draft builds on previous regulations on deep synthesis technology, which contained detailed provisions on user identity registration, the creation of a database of undesirable inputs, and even the generation of “special objects and scenes” that may harm national security. 

Whereas past regulations from the Cyberspace Administration of China (CAC) focused on harmful outputs that threatened national security, this new draft regulation goes a step further. It mandates that models must be “accurate and true,” adhere to a particular worldview, and avoid discriminating by race, faith, and gender. The document also introduces specific constraints about the way these models are built. Addressing these requirements involves tackling open problems in AI like hallucination, alignment, and bias, for which robust solutions do not currently exist. 

The news coverage in the United States thus far has been relatively superficial and misses the breadth and complexity of the proposed regulations. An article in The Wall Street Journal, for example, hones in on a requirement to adhere to a particular worldview (Art. 4, Sec. 1) — a provision that appeared back in the 2016 cybersecurity law — and primarily focuses on China’s move towards AI censorship. A Bloomberg story focuses on the draft regulation’s potential impact on the speed of AI development by highlighting the need for security reviews (Art. 6).

This post aims to highlight the aspects of the draft regulation that are novel in both the Chinese and International contexts. (Our full unofficial translation of the document from Chinese to English is available here.)  .... ' 

Friday, May 12, 2023

Google reveals AI updates as it Vies with Microsoft

 Advanced Tech rolls on.  In China,  Baidu's Ernie makes a AI  play. 

Google reveals AI updates as it vies with Microsoft    in the BBC

Google has announced it is rolling out generative artificial intelligence (AI) to its core search engine.

The move comes after Microsoft incorporated GPT-4 into its Bing search engine earlier this year.Search Generative Experience - which will be part of Google - will craft responses to open-ended queries, the company said.

However, the system will only be available to a limited number of users and is still in "experimental" phase.

"We are reimagining all of our core products, including search," said Sundar Pichai, the boss of Google's parent company Alphabet. Additionally, the company announced a new feature on Google's Android system will proactively warn users about unknown AirTags, tiny devices developed to track personal items like keys and wallets.

The technology giant said the "unknown tracker alerts" would go live this summer.

The announcement came after Apple and Google said last week they were working together to address the problem.

Last year two women sued Apple over AirTag stalking.

Women who have been tracked using the devices told the BBC last year that not enough was being done to prevent misuse.

Apple AirTags - 'A perfect tool for stalking'

Google made the announcement at its annual developer conference, where leaders of the company touted their latest advancements in artificial intelligence and new hardware offerings, including a $1,799 (£1,425) phone that opens and closes like a book.

The company said it was removing the waitlist for "Bard", its experimental, conversational, chat service, which will be rolled out in English in 180 countries and territories.

It also said the chatbot would soon be able to respond to prompts with images as well as text.

Google has been under pressure to burnish its artificial intelligence offerings, after the runaway success of rival chatbot ChatGPT, which is funded by Microsoft.

A previous attempt to show off its credentials in the field, in February, ended in embarrassment, after it emerged that - in an advert intended to illustrate its capabilities - Bard had answered a question incorrectly.

The incident wiped $100bn (£82bn) off parent company Alphabet's share value - an indication of how keenly investors are watching how the tech giants' AI ventures play out.

Microsoft is deploying ChatGPT technology into its search engine Bing, after investing heavily in the company that developed it, OpenAI. Chinese tech giant Baidu also has a chatbot, called Ernie.

Chirag Dekate, analyst at Gartner, said Google remained an industry leader and was well poised to benefit in the interest in AI.

"Google has the tools to dominate the AI battles, the perennial question is - will they?" he said.

Tuesday, May 09, 2023

Chinese Metaverse About Work

Very different.

China's Metaverse Is All About Work

By Wired, May 4, 2023

What’s emerging in China is very different from the metaverses envisioned in the West.

China's government aims to build a metaverse that supports the economy, while its Western counterparts are focused on consumers.

Said Siri Chen at Chinese augmented reality company HiAR, "At the current stage, everyone emphasizes industrial applications from education, medical, travel, and industrial development."

Digital twins, mixed reality, and blockchain were the core technologies forming the metaverse as defined by China's Central Commission for Discipline Inspection in 2021, although the government's cryptocurrency ban eliminated the third component.

The ban's decoupling of virtual spaces and digital assets advanced the Chinese metaverse model of centralized regulation, according to Zhengyuan Bo at China-oriented research firm Plenum.

Digital twins remain a key element of the government's metaverse, with five ministries having pledged to grow the virtual reality industry to 350 billion yuan ($51 billion) by 2025.

From Wired

View Full Article 

 

Tuesday, May 02, 2023

'Smart Mines' Drive China's Coal Build-Out

ACM TECHNEWS

'Smart Mines' Drive China's Coal Build-Out  in McKinsey

By Bloomberg, May 1, 2023

A shearing robot working in a Chinese mine

China invested $79 billion in coal production last year, according to the International Energy Agency, while the rest of the world combined spent $37 billion.

China's mining operators are deploying robots and other technologies to expand its coal industry, with Shaanxi Coal & Chemical Industry Group's Xiaobaodang mine using remote-controlled robots that shear boreholes with six-foot-diameter discs.

The shearers are monitored by workers on the surface using closed circuit cameras positioned along the coal face and connected to 5G base stations from Huawei Technologies.

The Hongliulin mine features more than 2,700 pieces of subterranean equipment linked to networks to instantly send photos, videos, and operational data to the surface.

China Coal News estimates China has roughly 570 "smart mines" that use technology to optimize about 42% of the nation's total output, or about 1.9 billion tons of coal annually.

From Bloomberg

View Full Article - May Require Paid Subscription  

Friday, April 28, 2023

PRC and Chat

 Very nicely done,good basics and hints.

The perils of AI (Artificial Intelligence) in the PRC  (China) 

April 17, 2023 @ 6:49 am · Filed by Victor Mair under Artificial intelligence, Computational linguistics, Language and politics

« previous post | next post »

Here at Language Log, for the last couple months, we've been having long, intense discussions about ChatGPT and other AI chatbots and LLM (Large Language Model) applications.  Now, it seems that the battle over such AI programs has reached the level of ideological warfare.

"America, China and a Crisis of Trust"

Opinion | The New York Times (4/14/23)

Indeed, a story making the rounds in Beijing is that many Chinese have begun using ChatGPT to do their ideology homework for the local Communist Party cell, so they don’t have to waste time on it.

I have some evidence that this might well be true.  Already about half-a-dozen years ago, my M.A. students from the PRC whose parents were CCP members told me that the government required daily interaction with the propaganda installed on their phones — upon pain of being demoted or dismissed.  They had to read a specified amount of Xi-speak and answer questions about the content.  This demanded a serious investment of time (hours).  It was considered to be especially onerous for those CCP members whose day jobs (doctors, bureaucrats, stock brokers, etc., etc.) already demanded a very full work schedule in the office.  So many, if not most of them, hired various human and electronic services to meet the obligations.

Tuesday, April 11, 2023

Robot Waiters Soon?

Some interesting examples mentioned.

Are Robot Waiters the Future?   By Associated Press, April 10, 2023

A BellaBot robot delivers food and drinks to a table in the Noodle Topia restaurant in Madison Heights, MI.

Many think robot waiters are the solution to the restaurant industry’s labor shortages; sales have been growing rapidly in recent years.

Many people envision robot waiters as a solution to the food service industry's labor shortages, with tens of thousands deployed in dining rooms globally.

Some experts predict the technology will revolutionize the restaurant business, while others consider it a gimmick with limited capabilities.

Robot waiters are nevertheless expanding, with U.S. developer Bear Robotics expecting to have 10,000 Servi units deployed by year's end in the U.S. and overseas, while China's Pudu Robotics counts more than 56,000 robots in use worldwide.

Michigan State University's Karthik Namasivayam says perhaps 30% of restaurants ultimately will be staffed by humans, while the rest will deploy more automation in kitchens and dining rooms, especially as technology costs fall.

From Associated Press

View Full Article    

Saturday, April 01, 2023

Pausing AI is a Bad idea. I agree.

Sure, we should allocate time to make it safer, and more useful.   But that is already happening.    Lets not let China and Russia get ahead.  Unless they are pausing too?  

Pausing AI is a Bad Idea.    By SpencerAnte   in  FastCompany

The gloves are coming off in the fight over the future of AI. 

On Tuesday, the Future of Life Institute, a futurist nonprofit backed by the Musk Foundation, published an open letter calling for a six-month pause on training AI systems more powerful than OpenAI’s leading GPT-4 service. 

“Powerful AI systems should be developed only once we are confident that their effects will be positive and their risks will be manageable,” declares the letter, which has been signed by several thousand people, including Elon Musk himself, Apple cofounder Steve Wozniak, AI researchers Yoshua Bengio and Gary Marcus, and historian Yuval Noah Harari. “AI labs and independent experts should use this pause to jointly develop and implement a set of shared safety protocols for advanced AI design and development that are rigorously audited and overseen by independent outside experts.”

While there’s no doubt that AI should be developed in a way that is safe, responsible, and transparent, putting the most critical technology of our age in a timeout is an unviable solution that could weaken our country at a critical moment. 

For starters, it would be an unprecedented move, coming just when AI is beginning to show incredible promise after decades of unfulfilled hype. It would also be nearly impossible to enforce and a gut punch to innovation—the engine of our economy. 

While the letter has been signed by some notable AI experts, other AI researchers criticized the approach and said it overlooked harms and risks posed by current AI, like requiring more transparency of AI training data and decision-making of large language models. Computer scientist Andrew Ng, founder of Google Brain, called the moratorium “a terrible idea” on Twitter because government intervention would be the only possible way to enforce it. 

“I’m seeing many new applications in education, healthcare, food, . . . that’ll help many people. Improving GPT-4 will help,” he tweeted. “Let’s balance the huge value AI is creating versus realistic risks. To advance AI safety, regulations around transparency and auditing would be more practical and make a bigger difference.”

Imagine people asking Netscape, Microsoft, and Mozilla to stop the development of the Web browser back in the mid-1990s. Would that have been the right move to address real concerns about online child pornography and indecent speech? Absolutely not. Those issues were more effectively addressed by industry, lawmakers, the courts, and regulators, ultimately being resolved through a landmark Supreme Court decision that enshrined the value of free speech on the internet. 

Second, the U.S. is engaged in a competition with China to lead the AI market. Thanks to recent innovation of U.S.-based OpenAI, other U.S. multinationals like Microsoft, Google and Meta, and a bevy of startups, the U.S. may have retaken the lead in this race in which experts said China was ahead just a few years ago. But the pace of AI innovation is accelerating at a rate not seen since the boom of mobile computing. Consider that it took just under four months for OpenAI to release GPT-4 after its groundbreaking release of ChatGPT. 

If the U.S. and its leading corporations paused AI development for six months while China raced ahead, it would put our country at a disadvantage and create a potential opening for our primary global adversary. Imagine if China’s AI leapfrogged the US during this pause, and the long term harm that could bring to democracy and geopolitical security.    .... ' 

Thursday, March 30, 2023

Unexpected Lunar Water Discovered

Easier colonization possible?

Lunar Water Reservoir Discovered in Glass Impact Beads

Tiny glass beads scattered across the Moon may contain enough water to sustain future crewed missions.

By Ryan Whitwam March 28, 2023No humans have set foot on the Moon for more than 50 years, but the coming decade could see multiple crewed landings and the construction of an orbiting lunar station. Harvesting water from the Moon could make a permanent human presence easier to maintain, but where will we find it? A new study from the Chinese Chang’e rover team suggests there might be usable water everywhere on the Moon.

In the past, scientists believed the Moon was just a big ball of dust, but robotic missions eventually confirmed water ice exists in shadowy craters. Water also appears to evaporate from lunar soil when exposed to sunlight. New data from the Chang’e 5 mission reveals the details.

Chang’e 5, which landed on the Moon in 2020, was China's first lunar sample return mission. It sent back 3.7 pounds (1.7 kilograms) of lunar regolith, some collected from a meter below the surface. Throughout the samples, the researchers from the Chinese Academy of Sciences spotted glass beads resulting from meteorite impacts. The researchers analyzed the chemical composition and structure of the impact glass, finding they can be up to 0.2% water by mass. In absolute terms, the researchers calculate that lunar soil has between 300 billion and 270 trillion kilograms of water locked up in glass beads. If collected in one place, it could fill Lake Tahoe almost twice over at the high end of the estimate.  ... '