link1s.site

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

NASA plays 'blame-shifting' game with China as lunar soil research set to start
The returner of the Chang'e-6 lunar probe is opened during a ceremony at the China Academy of Space Technology under the China Aerospace Science and Technology Corporation in Beijing, capital of China, June 26, 2024. The returner of the Chang'e-6 lunar probe was opened at a ceremony in Beijing on Wednesday afternoon. During the ceremony at the China Academy of Space Technology under the China Aerospace Science and Technology Corporation, researchers opened the returner and examined key technical indicators. Photo: Xinhua As the US space industry recently faced yet more delays and stagnation with key components including manned spacecraft and space suits "going wrong," NASA has once again resorted to its "sour grapes" rhetoric upon seeing China's successful retrieval of fresh lunar soils from the far side of the moon, by claiming that China did not directly invite its scientists to participate in the lunar soil research. This behavior is a typical blame-shifting trick, Chinese experts said, noting it is clear to all that it is the US' own laws, not China, that are restricting space cooperation between the two sides. Instead of deceiving themselves by distorting the truth, the US should face up to its own problem of overall weakening engineering capability and the lack of long-term planning in its space industry. After the Chang'e-6 samples, weighing nearly 2 kilograms, were safely transported to a special laboratory for further study on Friday, NASA spokesperson Faith McKie told media that while China worked with the European Space Agency, France, Italy and Pakistan on this mission, "NASA wasn't invited to take part in the moon probe." NASA also didn't get "any direct invitation" to study China's moon rocks, after it welcomed all scientists from around the world to apply to study them, McKie told NatSec Daily. Responding to the remarks, Chinese Foreign Ministry spokesperson Mao Ning told the Global Times on Monday that China is open to having space exchanges with the US, and we also welcome countries around the world to take part in the study of lunar samples. "However, the US side seems to have forgotten to mention its domestic legislation such as the Wolf Amendment. The real question is whether US scientists and institutions are allowed by their own government to participate in cooperation with China," Mao said. "The existence of the Wolf Amendment has basically shut the door to space collaboration between the two countries," Wang Yanan, chief editor of Beijing-based Aerospace Knowledge magazine, told the Global Times on Monday. Even if research institutions of the US have the willingness to work with China on opportunities such as lunar sample research, institutions there must obtain special approval from the US Congress due to the presence of this amendment, Wang explained. Currently, no such "green light" is in sight from the Congress. Furthermore, China's collaboration with international partners is based on equality and mutual benefit, leveraging their respective scientific resources, facilities, and expertise. However, the US only wants what it doesn't have, and its engagement with China would be advantageous only to itself, Wang noted. NASA has found itself embroiled in a number of thorny issues recently, with the latest being Boeing's Starliner manned spaceship experiencing both helium leaks and thruster issues during a June 6 docking with the International Space Station (ISS), which led to an indefinite delay for its crew's return to Earth, despite NASA's insistence that they are not "stranded" in space. The return of the Starliner capsule, while has already been delayed by two weeks, will be put on hold "well into the summer" pending results of new thruster tests, which are scheduled to start Tuesday and will take approximately two weeks or even more, per NASA officials. Previously on June 24, NASA cancelled a spacewalk on the ISS following a "serious situation," when one of the spacesuits experienced coolant leak in the hatch. While being broadcast on a livestream, the astronauts reported "literally water everywhere" as they were preparing for the extravehicular activity, space.com reported. The report said that this is the second time this particular spacewalk was postponed, after a June 13 attempt with a different astronaut group was pushed back due to a "spacesuit discomfort." The recurring issues with the spacesuits are due to their much-extended service lifespan, media reported, as the puffy white ones US astronauts currently wear were designed more than 40 years ago. Despite the pressing need to replace them, NASA announced recently that it is abandoning a plan to develop next-generation spacesuits, which had been committed to be delivered by 2026, CNN reported on Thursday. One of the root causes for such problems is that the US has developed many large technology conglomerates, which for a long time have benefited significantly from government orders and industry monopolies. Consequently, in many complex engineering fields, the level of attention given is greatly insufficient, Wang noted. It also reflected the US' lack of long-term strategic planning for its manned space program. For instance, the ageing spacesuits should have been replaced a decade ago to ensure that operational suits remain in usable condition. Failure to address this issue results in a hindrance to the space station's necessary maintenance tasks and even poses life-threatening risks to astronauts in emergency situations, experts said. The issues with Boeing's spacecraft and the spacesuits are not isolated problems, but reflected a systemic issue in the US space industry - the overall weakening of engineering capabilities, they noted.
Xinjiang scientists discover plant with potential to survive on Mars
In a groundbreaking discovery, researchers from the Xinjiang Institute of Ecology and Geography of the Chinese Academy of Sciences have found a desert moss species, known as Syntrichia caninervis, that has the potential to survive in the extreme conditions on Mars. The Global Times learned from the institute that during the third Xinjiang scientific expedition, the research team focused on studying the desert moss and found that it not only challenges people's understanding of the tolerance of organisms in extreme environments, but also demonstrates the ability to survive and regenerate under simulated Martian conditions. Supported by the Xinjiang scientific expedition project, researchers Li Xiaoshuang, Zhang Daoyuan and Zhang Yuanming from the Xinjiang Institute of Ecology and Geography and Kuang Tingyun, an academician from the Chinese Academy of Sciences, concentrated on studying the "pioneer species" Syntrichia caninervis in an extreme desert environment, according to the institute in an article it sent to the Global Times on Sunday. Through scientific experiments, the researchers systematically proved that the moss can tolerate over 98 percent cell dehydration, survive at temperatures as low as -196 C without dying, withstand over 5000Gy of gamma radiation without perishing, and quickly recover, turn green, and resume growth, showcasing extraordinary resilience. These findings push the boundaries of human knowledge on the tolerance of organisms in extreme environments. Furthermore, the research revealed that under simulated Martian conditions with multiple adversities, Syntrichia caninervis can still survive and regenerate when returned to suitable conditions. This marks the first report of higher plants surviving under simulated Martian conditions. The research team also identified unique characteristics of Syntrichia caninervis. Its overlapping leaves reduce water evaporation, while the white tips of the leaves reflect intense sunlight. Additionally, the innovative "top-down" water absorption mode of the white tips efficiently collects and transports water from the atmosphere. Moreover, the moss can enter a selective metabolic dormancy state in adverse environments and rapidly provide the energy needed for recovery when its surrounding environment improves. Based on the extreme environmental tolerance of Syntrichia caninervis, the research team plans to conduct experiments on spacecraft to monitor the survival response and adaptation capabilities of the species under microgravity and various ionizing radiation adversities. They aim to unravel the physiological and molecular basis of the moss and explore the key life tolerance regulatory mechanisms, laying the foundation for future applications of Syntrichia caninervis in outer space colonization.
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).
Morning Bid: Eyes switch to inflation vs elections, Powell up
A look at the day ahead in U.S. and global markets from Mike Dolan After an intense month focused on election risk around the world, markets quickly switched back to the more prosaic matter of the cost of money - and whether disinflation is resuming to the extent it allows borrowing costs to finally fall. Thursday's U.S. consumer price update for June is the key moment of the week for many investors - with the headline rate expected to have fallen two tenths of a percentage point to 3.1% but with 'core' rates still stuck at 3.4%. With Federal Reserve chair Jerome Powell starting his two-pronged semi-annual congressional testimony later on Tuesday, the consensus CPI forecast probably reflects what the central bank thinks of the situation right now - encouraging but not there yet. But as the U.S. unemployment rate is now back above 4.0% for the first time since late 2021, markets may look for a more nuanced approach from the Fed chair that sees it increasingly wary of a sudden weakening of the labor market as real time quarterly GDP estimates ebb again to about 1.5%. There were some other reasons for Fed optimism in the lead up to the testimony. The path U.S. inflation is expected to follow over coming years generally softened in June, amid retreating projections of price increases for a wide array of consumer goods and services, a New York Fed survey showed on Monday. Inflation a year from now was seen at 3% as of June - down from the expected rise of 3.2% in May - and five-year expectations fell to 2.8% from 3%. Crude oil prices are better behaved this week, too, falling more than 3% from the 10-week highs hit late last week and halving the annual oil price gain to 10%. The losses on Tuesday came after a hurricane that hit a key U.S. oil-producing hub in Texas caused less damage than many in markets had expected - easing concerns over supply disruption. Before Powell starts speaking later, there will also be an update on U.S. small business confidence for last month.
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.