
Kiss cam incident reveals dangers of AI
The pair's awkward reaction to the camera led to widespread speculation about a possible secret relationship. Within hours, what should have been an ordinary moment at a concert escalated into a viral scandal.
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The Star
8 hours ago
- The Star
Wu Yiquan: The Chinese AI researcher scoring big on the basketball court
Amid China's tech revolution, a new kind of multidisciplinary star is emerging – one who dominates both coding and sport. Wu Yiquan, an artificial intelligence (AI) scientist pioneering legal large language models by day, is also making headlines as a rising provincial basketball sensation. Wu, an assistant professor at the Zhejiang University law school, specialises in developing and training legal large language models for applications in education and research. The 1.8m-tall (5 feet 9 inches) star caught media attention after he scored 22 as the defender for the West Lake team in a Zhejiang Provincial City Basketball League qualifier match on July 17. In an interview with Henan-based news site Daxiang News on Wednesday, Wu said scientific research and basketball had things in common. 'The most captivating aspect of basketball is its unpredictability,' he said. 'The pregame analysis often differs from the actual situation on the court, which tests one's ability to adapt in real-time. 'In research, it is crucial to stay calm and positive when facing any challenges. 'Many young scholars embrace multiple identities with various hobbies. Science is not everything in life. Pursuing interests and passions can help cultivate a well-rounded personality and gain a broader perspective on challenges.' Wu completed his studies from undergraduate to doctorate in computer science at Zhejiang University in january, with the university recognising his dissertation as outstanding. He said he was inspired to pursue digital law research after encountering a 'smart court' project during his third year of studies. His research could be seen as a specialised large model for law. 'Because law ... requires high professionalism, while exploring technological innovation, we should ensure that the technology serves the greater good,' Wu said. 'My students come from diverse majors in computer science, law, liberal arts and sciences, forming a cross-disciplinary team. I encourage them to divide work among themselves, exchange ideas and create new sparks.' Wu's GitHub developer platform profile highlights not only his academic achievements but also his sporting awards, including a photo of him holding the hoop after a successful dunk. He captained the university men's basketball team for five years from 2019 and was the Chinese University Basketball Association's Outstanding Athlete for three consecutive years. Wu is the project leader of an open-source legal large language model named 'wisdomInterrogatory', providing legal help such as Q&A, case analysis and legal document generation. It was co-developed by Zhejiang University, Shanghai UniDT Technology and the Alibaba Discovery, Adventure, Momentum and Outlook (Damo) Academy. The chatbot is designed to draft documents and offer advice. For example, when asked how to recover money from an online scam, the chatbot gave a four-step guide: keep chat records and bank transfer receipts, report criminal behaviour to the police, seek legal aid and pursue a civil lawsuit to recover funds after the criminal case concludes. 'Everyone should protect their legal rights. Be cautious and do not easily trust requests for help from strangers to avoid being scammed. Stay vigilant to prevent similar incidents in the future,' it advised. In another case, when prompted to draft a contract for a full-time employee, the chatbot generated a template detailing job responsibilities, compensation and benefits, including salary and social insurance, duration of employment, as well as confidentiality clauses. It also listed attachments such as the employee handbook, insurance certificates and company rules and ended with a disclaimer. 'The above is just for reference. The specific content should be adjusted according to actual circumstances. It is advisable to consult a professional lawyer or human resources expert to better formulate a contract that meets your needs,' it said. - SOUTH CHINA MORNING POST


The Star
9 hours ago
- The Star
Design software maker Figma extends gains after blockbuster NYSE trading debut
(Reuters) -Design software maker Figma's shares rose another 10% in premarket trading on Friday, extending strong debut-day gains after a blowout U.S. initial public offering that has reignited the tech listing market. The San Francisco, California-based company's shares closed at $115.5 on Thursday, compared with its IPO price of $33. The 250% surge lifted Figma's market value to nearly $68 billion, far exceeding the $20-billion valuation in a now-scrapped buyout deal with Photoshop maker Adobe. Figma's $1.22-billion offering, the fourth-largest U.S. IPO of the year, is being seen as a potential catalyst for other startups eyeing a flotation after a three-year freeze in the tech listings market. The deal's strong reception renewed hopes of a broader reopening of the pipeline, as private companies and investors look to capitalize on improving market conditions and strong demand for growth names. Figma, which has highlighted its focus on AI, has also benefited from Wall Street's enthusiasm for the technology. The boom fueled a sharp rally in tech stocks over the past year and drove up valuations and investor demand for companies seen as central to the AI ecosystem. "In order for application software companies to remain relevant and provide value to end users, they will need to implement GenAI capabilities which represents a potential catalyst for adoption and increased usage of Figma," D.A. Davidson analyst Gil Luria said in a note. Founded in 2012 and led by CEO Dylan Field, Figma provides cloud-based collaborative design tools, with a roster of marquee clients including Google, Microsoft, Netflix and Uber. Though the blockbuster performance is good news for the IPO market, particularly for high-growth tech listings, the sharp surge suggests Figma may have priced its IPO too conservatively, potentially leaving money on the table. Bankers typically target a first-day rise of 10% to 20% to balance strong demand with optimal fundraising. (Reporting by Manya Saini in Bengaluru; Editing by Pooja Desai)


The Star
9 hours ago
- The Star
Exclusive-Alphabet's CapitalG, Nvidia in talks to fund Vast Data at up to $30 billion valuation, sources say
FILE PHOTO: An Nvidia logo is shown at SIGGRAPH 2017 in Los Angeles, California, U.S. July 31, 2017. REUTERS/Mike Blake/File Photo NEW YORK/SAN FRANCISCO (Reuters) -Alphabet's growth-stage venture arm CapitalGand Nvidia are in talks to invest in artificial intelligence infrastructure provider Vast Data in a new funding round that could value the startup as high as $30 billion, two sources said. The startup is raising severalbillion dollars from tech giants, private equity and venture capital investors, which could make it one of the most valuable AI startups, the two sources with knowledge of the matter said, as companies building the backbone for the AI boom come into sharper focus. CapitalG and existing backer Nvidia are in discussions to participate in the round, which could close in the next few weeks, according to the sources, who requested anonymity to speak on private matters. New York-headquartered Vast Data develops storage technology specifically designed for large AI data centers, enabling efficient data movement between graphics processors (GPUs) made by the likes of Nvidia. Its clients include companies such as Elon Musk's xAI and CoreWeave, and its value in the AI supply chain makes it an attractive acquisition target, bankers and analysts said. Nvidia declined to comment, while Vast Data and CapitalG did not respond to requests for comment. TechCrunch earlier reported Vast Data's fundraising efforts, but the valuation of up to $30 billion and the expected involvement of CapitalG and Nvidia have not been reported previously. Vast Data CEO Renen Halak has said the company is free cash flow positive. The company earned $200 million in annual recurring revenue (ARR) by January 2025, with a strong backlog of orders and projections to grow ARR to $600 million next year, according to a separate source familiar with its financials. The company has raised roughly $380 million to date, and its last funding round in 2023 valued it at $9.1 billion. Vast Data has said it would consider an initial public offering at the right time. While no listing is imminent, according to another source familiar with the matter, investors and bankers view the data infrastructure firm as a likely IPO candidate. Vast Data last year hired Amy Shapero, its first chief financial officer, who was previously in the same role at publicly listed e-commerce giant Shopify, in a move that could signal preparations for an IPO. Mergers and acquisitions activity has also been heating up in the sector, and Nvidia has been acquiring companies that add complementary software and hardware products beyond its flagship GPUs. In 2020, it bought networking chip and cable maker Mellanox, which has helped Nvidia build integrated systems featuring its latest Blackwell chips. Ithas also acquired software companies such as Run:ai, which helps engineers optimize data center AI hardware. Vast Data's storage architecture is based on a system of flash storage devices and other off-the-shelf hardware, combined with its specialized software for data access and movement. The company says adopting its technology can reduce the cost of building and running large AI models. Several early-stage companies, such as Weka and DDN, are pursuing similar efforts, but analysts and industry executives say Vast Data's technology is more mature than that of its rivals. (Reporting by Max A. Cherney in San Francisco and Krystal Hu and Milana Vinn in New York; Additional reporting by Kenrick Cai in San Francisco and Echo Wang in New York; Editing by Sayantani Ghosh and Jamie Freed)