Tech
AI Tools Boost Paper Production but Raise Quality Concerns in Scientific Research
Large language models such as ChatGPT are increasing research output, particularly for scientists who are not native English speakers, but a new study warns that many AI-assisted papers are less likely to pass peer review.
Researchers at Cornell University, United States, analysed more than two million research papers posted between 2018 and 2024 on three major preprint servers, which host early versions of scientific work prior to formal review. Their findings, published in the journal Science, show that AI tools are reshaping how scientific papers are written and disseminated.
To identify AI-assisted papers, the team trained an AI system to detect text likely generated by large language models. Comparing papers posted before 2023 with those written after tools like ChatGPT became widely available, the researchers measured publication output and subsequent acceptance rates in scientific journals.
The analysis revealed a significant productivity boost for AI users. On a major preprint server for physics and computer science, researchers using AI produced about one-third more papers than those who did not. In biology and the social sciences, the increase exceeded 50 percent. The largest gains were seen among scientists whose first language is not English. In some Asian institutions, researchers published between 40 percent and nearly 90 percent more papers after adopting AI writing tools, depending on the discipline.
AI tools also appear to aid in literature review. Researchers using AI were more likely to identify newer studies and relevant books rather than relying on older, frequently cited works. “People using LLMs are connecting to more diverse knowledge, which might be driving more creative ideas,” said Keigo Kusumegi, a doctoral student and first author of the study.
Despite the productivity gains, the study highlights quality concerns. Many AI-written papers, while linguistically polished, were less likely to be accepted by journals. Papers written by humans that scored high on writing complexity were more likely to be accepted, whereas AI-generated papers with similar scores often failed to meet scientific standards.
“Already now, the question is not, ‘Have you used AI?’ The question is, ‘How exactly have you used AI and whether it’s helpful or not,’” said Yian Yin, assistant professor at Cornell and corresponding author of the study. Yin added that the widespread adoption of AI tools across disciplines—including physical sciences, computer science, biology, and social sciences—requires careful consideration by reviewers, funders, and policymakers.
The researchers stress that AI-assisted tools are reshaping the academic ecosystem, offering opportunities to improve productivity and access to scientific knowledge, but they also call for guidelines to ensure that the technology is used responsibly and that scientific contributions maintain their integrity.
As AI becomes increasingly integrated into research practices, the challenge for the scientific community will be balancing efficiency and innovation with rigorous evaluation standards to maintain the quality and credibility of published science.
Tech
John Ternus Takes Over as Apple CEO After 15-Year Tim Cook Era
Apple has appointed John Ternus as its new chief executive, ending Tim Cook’s 15-year tenure at the top of the technology company and beginning a new chapter as Apple faces mounting competition in artificial intelligence.
Ternus formally took over from Cook on Tuesday, inheriting a company valued at about $4.6 trillion. When Cook became CEO in 2011, Apple was worth less than $350 billion. Under his leadership, the company expanded its product portfolio, grew its services business and became one of the world’s most valuable companies.
Cook will remain with Apple as executive chairman, allowing the company to retain his experience and relationships during the leadership transition.
The change comes at a crucial moment for Apple. Artificial intelligence is reshaping the technology industry, creating pressure on major companies to develop powerful AI systems and integrate them into consumer products.
Apple has faced criticism over the pace of its AI development. The company began promoting a new generation of AI features nearly two years ago, but several promised improvements were delayed as Apple worked to develop the technology.
The company has since announced further AI upgrades, including improvements to its Siri voice assistant. Apple has stressed privacy and practical uses as it seeks to narrow the gap with competitors that have moved more aggressively into generative AI.
Ternus, a hardware engineering specialist, will now have to address challenges that extend well beyond product design. His responsibilities will include strengthening Apple’s position in AI while managing supply chain risks and complex international relationships.
Relations with US President Donald Trump are expected to be another important issue. Trump publicly praised Cook on Tuesday, highlighting the relationship the former CEO developed with the administration.
Cook spent years managing the impact of US trade policies and tariffs on Apple, particularly measures affecting Asian countries where many components are produced and assembled.
His continued role as executive chairman is expected to help Apple maintain important contacts as the company deals with trade policy and other political pressures.
Ternus is not new to Apple’s most important products. During Cook’s tenure, he worked on major devices and technologies including the Apple Watch, AirPods and Apple Vision Pro.
His background in hardware has made him a central figure in Apple’s product development and positioned him as one of the company’s most prominent engineering leaders.
The new CEO will make his first major public appearance in the role next week when Apple unveils its latest iPhone at the company’s headquarters in Cupertino, California.
The launch will offer an early test of how Ternus presents himself to consumers and investors while taking responsibility for a company entering a period of significant technological and competitive change.
Tech
Taiwan’s AI Stock Boom Fuels Borrowing Frenzy as Investors Chase Big Gains
Taiwan’s booming stock market has encouraged a growing number of investors to borrow heavily to buy shares, with some taking out bank loans or remortgaging their homes in hopes of profiting from the island’s AI-driven technology rally.
The Taiwan stock market surged 59 per cent during the first half of the year, driven largely by strong demand for artificial intelligence hardware produced by companies including Taiwan Semiconductor Manufacturing Co. The sharp rise has attracted investors who believe technology stocks still have room to climb.
Real-estate worker Lucas Chen, 34, borrowed NT$5 million, about €136,000, to increase his stock investments. Within six months, his technology holdings had risen by almost 70 per cent, increasing the value of his portfolio by roughly NT$20 million, or €544,000, by late June.
About half of Chen’s investments were in TSMC, which represented around 45 per cent of the Taiwan Stock Exchange at the end of 2025. He used his Tesla as collateral for two of three bank loans.
Chen, who has traded stocks for a decade, said he believed borrowing could be manageable if investors carefully calculated the risks.
However, the rapid expansion of debt-funded trading has also brought significant losses. Financial influencer Yeh Yu-shuo, whose Facebook investment group has hundreds of thousands of members, said some users had reported severe emotional distress after losing money.
One anonymous investor said he had put NT$10 million into the market, including NT$6 million borrowed through a mortgage, and had lost almost half of the amount. The investor described waking during the night in panic and said he had sought professional help.
The risks have grown as the technology rally became more volatile. Global markets reached record levels earlier this year as companies increased spending on AI data centres, hardware and software. The rally weakened in July as investors questioned whether the huge investments would generate sufficient returns and worried that technology stocks had become too expensive.
Taiwanese investors have increasingly turned to banks and brokers to finance their purchases. Margin trading, which allows investors to buy securities with borrowed money, rose nearly 20 per cent during the first half of the year compared with the previous six months, according to Taiwan Stock Exchange data.
Norman Yin, a money and banking professor at National Chengchi University, said younger investors had been buying stocks at an unusually rapid pace. He said banks were willing to lend as deposits remained high and property prices had been relatively stagnant.
Authorities have warned investors about the dangers of taking on excessive debt. Taiwan’s Financial Supervisory Commission said overall credit risk remained under control, while the stock exchange has published social media videos warning younger investors about the consequences of failing to repay loans.
The market has also shown how quickly gains can disappear. Taiwan’s benchmark index fell about 16 per cent between its June 22 record and July 30 before recovering most of the losses.
Despite the volatility, many investors remain optimistic. Chen said the market represented a major opportunity for his generation, while Yeh said he remained confident as long as TSMC continued to perform strongly.
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