July 4 (Reuters) - A hacker gained access to the internal messaging systems at OpenAI last year and stole details about the design of the company's artificial intelligence technologies, the New York Times reported, opens new tab on Thursday. The hacker lifted details from discussions in an online forum where employees talked about OpenAI's latest technologies, the report said, citing two people familiar with the incident. However, they did not get into the systems where OpenAI, the firm behind chatbot sensation ChatGPT, houses and builds its AI, the report added. OpenAI executives informed both employees at an all-hands meeting in April last year and the company's board about the breach, according to the report, but executives decided not to share the news publicly as no information about customers or partners had been stolen. OpenAI executives did not consider the incident a national security threat, believing the hacker was a private individual with no known ties to a foreign government, the report said. The San Francisco-based company did not inform the federal law enforcement agencies about the breach, it added. OpenAI in May said it had disrupted five covert influence operations that sought to use its AI models for "deceptive activity" across the internet, the latest to stir safety concerns about the potential misuse of the technology. The Biden administration was poised to open up a new front in its effort to safeguard the U.S. AI technology from China and Russia with preliminary plans to place guardrails around the most advanced AI Models including ChatGPT, Reuters earlier reported, citing sources.

Companies are going to have fewer people and fewer layers. Ten years from now, the software development circuit may have fewer jobs, higher salaries, and more product-centric work. The reason behind it is the rapid development of AI, AI has approached human beings at the intelligence level, a lot of work relying on thinking ability may be handed over to AI, while emotion is still the territory of human beings, how to communicate and collaborate is the most important ability in the near future. When Indeed's chart for software development and operations jobs was released, we found that, as the chart shows, there was a peak in early 2022, but after that there was a precipitous decline.

US politicians are advocating for steep tariffs, echoing the protectionist Fordney-McCumber Tariff of 1922. Despite potential international retaliation, risks to global economic rules and a shift from post-World War II principles, US politicians have promised to increase trade barriers against China, causing concerns for the sustainability of global economic harmony. A century ago, the Republican Congress passed the Fordney-McCumber Tariff of 1922. This post-World War-I effort to protect the US from German competition and rescue America's own businesses from falling prices sparked a global wave of tariff hikes. While long forgotten, echoes of Fordney-McCumber now reverberate across the US political landscape. Once again, politicians are grasping the tariff as a magic talisman against its own economic ills and to contain the rise of China. The Democratic Party of the 1920s opposed tariffs, because duties are harmful to consumers and farmers, but today both President Joe Biden and former President Donald Trump favor national delivery through protectionism. Trump promised that his second term, if elected, would impose 60-percent tariffs on everything arriving from China and 10-percent tariffs on imports from the rest of the world, apparently including the imports covered by 14 free trade agreements with America's 20 partners. He initially promised 100-percent tariffs on electric vehicles (EVs), but when Biden declared that he was hiking tariffs on EVs from China to 100-percent, Trump raised the ante to 200-percent. On May 14, 2024, the White House imposed tariffs ranging from 25 percent (on items such as steel, aluminum and lithium batteries) to 50 percent (semiconductors, solar cells, syringes and needles) and 100 percent (electric vehicles) on Chinese imports. US government officials offer "national security" and "supply chain vulnerability" as the justification for levying high tariffs. To deflect worries about inflation, US Trade Representative Katherine Tai declared, "first of all, I think that that link, in terms of tariffs to prices, has been largely debunked." Contrary findings by the United States International Trade Commission and a number of distinguished economists, as well as Biden's own 2019 statement criticizing Trump's tariffs - "Trump doesn't get the basics. He thinks tariffs are being paid by China… [but] the American people are paying his tariffs" - forced Tai's office to wind back her declaration. The fact that prohibitive barriers to imports of solar cells, batteries and EVs will delay the green economy carries zero political weight with Trump and little with Biden. Nor does either of them worry about the prospects of Chinese retaliation and damage to the fabric of global economic rules. Historical lessons - unanticipated consequences of the foolish Fordney-McCumber Tariff of 1922 and the Smoot-Hawley Tariff of 1930 - are seen as irrelevant by the candidates and their advisers. The US' lurch from its post-World War II free trade principles offers China a golden opportunity. On the world stage, China will espouse open free trade and investment. China will encourage EV and battery firms to establish plants in Europe, Brazil, Mexico and elsewhere, essentially daring the US to damage its own alliances by restricting third country imports containing Chinese components. Whether the fabric of global economic rules that has delivered astounding prosperity to the world will survive through the 21st century remains to be seen. Much will depend on the decisions of other large economic powers, not only China but also the European Union and Japan, as well as middle powers, such as Australia, Brazil, Chile, ASEAN and South Korea. Their actions and reactions will reshape the rules of the 21st century. If others follow America down this costly path, the world will become less prosperous and vastly more unpredictable. If they resist, the US risks being diminished and more isolated. The author is a non-resident Senior Fellow at the Peterson Institute of International Economics. bizopinion@globaltimes.com.cn

The world's deepest diving pool, Deepspot, opened this weekend near the Polish capital Warsaw. The 45.5-meter pool contains artificial underwater caves, Mayan ruins and a small shipwreck for scuba divers and free divers to explore. Deepspot can hold 8,000 cubic meters of water, more than 20 times the capacity of a normal 25-meter swimming pool. Unlike ordinary swimming pools, Deepspot can still open despite Poland's COVID-19 epidemic prevention restrictions because it is a training center that provides courses. The operator also plans to open a hotel where guests can observe divers at a depth of 5 meters from their rooms. "This is the deepest diving pool in the world," Michael Braszczynski, 47, Deepspot's director and a diving enthusiast, told AFP at the opening yesterday. The current Guinness World Record holder is a 42-meter-deep pool in Montegrotto Terme, Italy. The 50-meter-deep Blue Abyss pool in the UK is scheduled to open in 2021. On the first day of Deepspot's opening, about a dozen people visited, including eight experienced divers who wanted to pass the instructor exam. "There are no spectacular fish or coral reefs here, so it can't replace the ocean, but it is certainly a good place to learn and train safe open water diving," said 39-year-old diving instructor Przemyslaw Kacprzak. "And it's fun! It's like a kindergarten for divers."

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