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Stanford AI project team apologizes for plagiarizing Chinese model

An artificial intelligence (AI) team at Stanford University apologized for plagiarizing a large language model (LLM) from a Chinese AI company, which became a trending topic on the Chinese social media platforms, where it sparked concern among netizens on Tuesday.

We apologize to the authors of MiniCPM [the AI model developed by a Chinese company] for any inconvenience that we caused for not doing the full diligence to verify and peer review the novelty of this work, the multimodal AI model Llama3-V's developers wrote in a post on social platform X.

The apology came after the team from Stanford University announced Llama3-V on May 29, claiming it had comparable performance to GPT4-V and other models with the capability to train for less than $500.

According to media reports, the announcement published by one of the team members quickly received more than 300,000 views.

However, some netizens from X found and listed evidence of how the Llama3-V project code was reformatted and similar to MiniCPM-Llama3-V 2.5, an LLM developed by a Chinese technology company, ModelBest, and Tsinghua University.

Two team members, Aksh Garg and Siddharth Sharma, reposted a netizen's query and apologized on Monday, while claiming that their role was to promote the model on Medium and X (formerly Twitter), and that they had been unable to contact the member who wrote the code for the project.

They looked at recent papers to validate the novelty of the work but had not been informed of or were aware of any of the work by Open Lab for Big Model Base, which was founded by the Natural Language Processing Lab at Tsinghua University and ModelBest, according to their responses. They noted that they have taken all references to Llama3-V down in respect to the original work.

In response, Liu Zhiyuan, chief scientist at ModelBest, spoke out on the Chinese social media platform Zhihu, saying that the Llama3-V team failed to comply with open-source protocols for respecting and honoring the achievements of previous researchers, thus seriously undermining the cornerstone of open-source sharing.

According to a screenshot leaked online, Li Dahai, CEO of ModelBest, also made a post on his WeChat moment, saying that the two models were verified to have highly similarity in terms of providing answers and even the same errors, and that some relevant data had not yet been released to the public.

He said the team hopes that their work will receive more attention and recognition, but not in this way. He also called for an open, cooperative and trusting community environment.

Director of the Stanford Artificial Intelligence Laboratory Christopher Manning also responded to Garg's explanation on Sunday, commenting "How not to own your mistakes!" on X.

As the incident became a trending topic on Sina Weibo, Chinese netizens commented that academic research should be factual, but the incident also proves that the technology development in China is progressing.

Global Times

BRI: embracing Chinese green practices for a sustainable future
Editor's Note: This year marks the 10th anniversary of the Belt and Road Initiative (BRI) proposed by Chinese President Xi Jinping. Through the lens of foreign pundits, we take a look at 10 years of the BRI - how it achieves win-win cooperation between China and participating countries of the BRI and how it has given the people of these countries a sense of fulfillment. In an interview with Global Times (GT) reporter Li Aixin, Erik Solheim (Solheim), former under-secretary-general of the United Nations and former executive director of the UN Environment Programme, recalled how the BRI helped shorten a previously long journey in Sri Lanka to a half-hour trip. "We will all be losers in a de-globalized, de-coupled world. The BRI can play a key role in bringing the world together," Solheim said. This is the 18th piece of the series. GT: How do you evaluate the role of the BRI in promoting development in participating countries over the past 10 years? Solheim: The BRI has been a major driver of development since it was announced by President Xi Jinping in Kazakhstan 10 years ago. The China-Laos Railway has connected landlocked Laos to the Chinese and European rail network, making it possible for Laos to sell more goods and welcome more tourists. Rail corridors in Kenya and from Djibouti to Addis Ababa connect the interior of Africa to the coast, bringing opportunities for much faster development in East Africa. The Bandung-Jakarta railway in Indonesia, Hanoi metro, roads and ports in Sri Lanka - there are great examples of good south-south and BRI projects in almost every corner of the world. GT: In your experience of traveling around the world, has any BRI-related story left a deep impression on you? Solheim: Yes, many! I'll just mention two. When I was chief negotiator in the Sri Lanka peace process 15 years ago, it took a long time to travel from the airport to Colombo, the capital of Sri Lanka. When I came back last year, it took half an hour on wonderful Chinese-built highways. Traveling through Mombasa, a coastal city in Kenya, you see a lot of poverty and run down houses. Then all of a sudden, a green, clean, well-run oasis opens up. It's the end station of the Nairobi-Mombasa railway which links the capital Nairobi to the coast. The rail station stands out and is showing the future for Kenya. GT: The EU proposed the Global Gateway, and the US proposed the Build Back Better World. What do you think are the similarities and differences between these projects and the BRI? Solheim: I really wish success for the Western initiatives. What developing nations ask for is a choice of good cooperation with both China and the West. Unfortunately, up to now, a number of the Western-led initiatives have been more like media events. They lack structure, secretariat, finances and clear direction. Nearly all nations in the world want to see close people-to-people relations, investment and political cooperation with both China and the West. No one wants to choose. GT: Some people from the West are talking about "de-coupling" and "de-risking." Both seem to be another way of saying "de-globalization." Do you think "de-coupling" and "de-risking" will affect the BRI? And what role will the BRI play in maintaining globalization? Solheim: Decoupling is probably the most unwise idea in the world today. It's outright dangerous. Facing climate change, environmental degradation, economic troubles, war in Ukraine and other places, and the threat of pandemics, we need more, not less, cooperation. We will all be losers in a de-globalized, de-coupled world. The BRI can play a key role in bringing the world together. Almost all developing countries have made BRI agreements with China. As an example, when President Xi met all the leaders of Central Asia recently in Xi'an, Northwest China's Shaanxi Province, they made a very ambitious declaration on future green cooperation between China and Central Asia. GT: You have previously said that the BRI is a fantastic vehicle to promote green global development, which can boost the economy and ecology at the same time. Could you elaborate on how you think the BRI has achieved development of the economy and ecology? Solheim: In the beginning there were too many fossil fuel projects among BRI programs. In the BRI International Green Development Coalition, we argued this should stop. When President Xi pledged to stop building new coal-fired power projects overseas, it was one of the most important environmental decisions ever. Also, it happened at a time when important BRI nations like Bangladesh, Kenya and Pakistan decided they could grow their economies and go green without coal. The BRI will in the next decade become the world's most important vehicle for green energy and green transport. We will see massive investments in solar and wind power, hydrogen, electric batteries and more. GT: How do you view China's goal of achieving harmony between humanity and nature in modernization? In what way is China's story in pursuing harmony between humanity and nature relevant to other countries? Solheim: China now covers between 60 percent and 80 percent of all major green technologies in the world - solar, wind, hydro, batteries, electric cars and high-speed rail. Companies like Longi, BYD and CATL are the world leaders in their sectors. More remarkably and maybe less noticed abroad, China is also a global leader in protecting nature. It's embarking upon one of the most massive national park programs, with a focus on Qinghai Province and Xizang Autonomous Region. China is by far the biggest tree planter in the world and the global leader in desert control in Kubuqi, Inner Mongolia and other places. China has been hugely successful in the recovery of endangered species like the Giant Panda, Tibetan Antelope and Snow Leopard. A new center for mangrove restoration is being set up in Shenzhen and the fishing ban in the Yangtze will restore that magnificent ecosystem. The Belt and Road is a great opportunity for the world to learn from good Chinese green practices.
The largest password leak in history exposes nearly 10 billion credentials
The largest collection of stolen passwords ever has been leaked to a notorious crime marketplace, according to cybersecurity researchers at Cybernews. This leak, dubbed RockYou2024 by its original poster “ObamaCare,” holds a file containing nearly 10 billion unique plaintext passwords. Allegedly gathered from a series of data breaches and hacks accumulated over several years, the passwords were posted on July 4th and hailed as the most extensive collection of stolen and leaked credentials ever seen on the forum. “In its essence, the RockYou2024 leak is a compilation of real-world passwords used by individuals all over the world,” the researchers told Cybernews. “Revealing that many passwords for threat actors substantially heightens the risk of credential stuffing attacks.” Credential stuffing attacks are among the most common methods criminals, ransomware affiliates, and state-sponsored hackers use to access services and systems. Threat actors could exploit the RockYou2024 password collection to conduct brute-force attacks against any unprotected system and “gain unauthorized access to various online accounts used by individuals whose passwords are included in the dataset,” the research team said. This could affect online services, cameras and hardware This could affect various targets, from online services to internet-facing cameras and industrial hardware. “Moreover, combined with other leaked databases on hacker forums and marketplaces, which, for example, contain user email addresses and other credentials, RockYou2024 can contribute to a cascade of data breaches, financial frauds, and identity thefts,” the team concluded. However, despite the seriousness of the data leak, it is important to note that RockYou2024 is primarily a compilation of previous password leaks, estimated to contain entries from a total of 4,000 massive databases of stolen credentials, covering at least two decades. This new file notably includes an earlier credentials database known as RockYou2021, which featured 8.4 billion passwords. RockYou2024 added approximately 1.5 billion passwords to the collection, spanning from 2021 through 2024, which, though a massive figure, is only a fraction of the reported 9,948,575,739 passwords in the leak. Thus, users who have changed their passwords since 2021 may not have to panic about a potential breach of their information. That said, the research team at Cybernews stressed the importance of maintaining data security. In response to the leak, they recommend immediately changing the passwords for any accounts associated with the leaked credentials, ensuring each password is strong and unique and not reused across different platforms. Additionally, they advised enabling multi-factor authentication (MFA), which requires an extra form of verification beyond the password, wherever possible, to strengthen cyber security. Lastly, tech users should utilize password manager software, which securely generates and stores complex passwords, mitigating the risk of password reuse across multiple accounts.
ChatGPT: Explained to Kids(How ChatGPT works)
Chat means chat, and GPT is the acronym for Gene Rate Pre trained Transformer. Genrative means generation, and its function is to create or produce something new; Pre trained refers to a model of artificial intelligence that is learned from a large amount of textual materials, while Transformer refers to a model of artificial intelligence. Don't worry about T, just focus on the words G and P. We mainly use its Generative function to generate various types of content; But we need to know why it can produce various types of content, and the reason lies in P. Only by learning a large amount of content can we proceed with reproduction. And this kind of learning actually has limitations, which is very natural. For example, if you have learned a lot of knowledge since childhood, can you guarantee that your answer to a question is completely correct? Almost impossible, firstly due to the limitations of knowledge, ChatGPT is no exception, as it is impossible to master all knowledge; The second is the accuracy of knowledge, how to ensure that all knowledge is accurate and error free; The third aspect is the complexity of knowledge, where the same concept is manifested differently in different contexts, making it difficult for even humans to grasp it perfectly, let alone AI. So when we use ChatGPT, we also need to monitor the accuracy of the output content of ChatGPT. It is likely not a problem, but if you want to use it on critical issues, you will need to manually review it again. And now ChatGPT has actually been upgraded twice, one is GPT4 with more accurate answering ability, and the other is the recent GPT Turbo. The current ChatGPT is a large model called multimodality, which differs from the first generation in that it can not only receive and output text, but also other types of input, such as images, documents, videos, etc. The output is also more diverse. In addition to text, it can also output images or files, and so on.
Musk is the billionaire who lost the most money in the first half of 2024: $5 billion a month
At the beginning of this year, Elon Musk had a fortune of $251 billion and could almost single-handedly solve world hunger. However, Tesla's stagnant sales, the endless struggle to buy Twitter, and the volatility of Tesla's stock price meant he lost a lot of money this year. According to Forbes, Musk is the billionaire with the most losses so far this year, with his wealth shrinking at a rate of about $5 billion a month. According to the website, his wealth shrank by more than 10% from the end of 2023 to June 28, 2024. As the website explains: Between December 31, 2023, and June 28, the last day of regular stock market trading for the first half of the year, Musk's net worth fell from $251.3 billion to $221.4 billion, a bigger drop than any other billionaire tracked by Forbes, but Musk remains the richest person on the planet. The main reason for the dip in Musk's pocketbook is that a Delaware judge in January canceled Musk's then-record Tesla compensation package worth $51 billion, which led Forbes to cut the value of the equity award by 50 percent because of uncertainty about whether Musk would receive those stock options. Excluding that bonus, Musk's wealth has remained volatile over the past six months, with the value of his 13 percent stake in Tesla shrinking by about $20 billion as falling profits and car deliveries sent the stock down 20 percent. But that was partly offset by the growth of Musk's stake in his generative artificial intelligence startup xAI to $14.4 billion (Musk also has a roughly $75 billion stake in private aerospace company SpaceX, a $7 billion stake in social media company X, And smaller stakes in other companies, such as brain experimentation startup Neuralink).
Enhance Your Photos With NASA's Sharpening Technique
Incredible space photos like those from NASA don't look as stunning straight out of the telescope. They need significant processing, and a crucial part of that is sharpening. Coming to you from Unmesh Dinda with PiXimperfect, this fascinating video explores the APF-R plugin, developed by award-winning astrophotographer Christoph Kaltseis. APF-R stands for Absolute Point of Focus, and it's designed to enhance photo details without creating halos or artifacts. This technology has been used by space agencies with telescopes like the James Webb, and now, you can use it in Photoshop. The plugin allows for non-destructive editing, meaning you can adjust the radius and detail level without permanently altering your image. This feature is crucial for astrophotography, where preserving original details is vital. The video shows how APF-R compares to Photoshop's built-in sharpening tools. The plugin offers multiple rendering methods, each suited for different types of images. For instance, the "Center Weighted" method provides a balanced sharpening effect without making the image look overprocessed. Dinda explains how to fine-tune these settings to achieve the best results, making it clear why this plugin is a game-changer for photographers looking to enhance their images with precision. One notable feature of APF-R is its ability to work with different image types. The video demonstrates how the plugin enhances not just space photos but also landscapes and portraits. For portraits, APF-R can bring out skin textures and eye details without creating the unwanted halos that traditional sharpening methods often produce. Dinda also shows how to combine APF-R with other Photoshop tools, like Smart Sharpen, for even better results. This versatility makes APF-R a valuable addition to any photographer's toolkit. The plugin's cost is $50, which Dinda considers a bargain given its advanced capabilities. There's also a Creative Bundle subscription that includes APF-R and 20 other tools, offering great value for those looking to expand their editing options. Dinda provides discount codes in the video description, making this sophisticated tool more accessible. Check out the video above for the full rundown from Dinda.