OpenAI has developed a highly accurate GPT-4 plagiarism detector, but hesitates to release it due to concerns about its impact, potential circumvention, and user backlash. While the watermarking system can reliably identify GPT-4 output, it cannot detect other models and can be bypassed by translation. OpenAI’s previous attempt at a text detector failed due to low accuracy and false positives, highlighting the challenges in creating a reliable tool.
Instagram is set to implement algorithmic changes that will prioritize original content and penalize the reposting of others’ work. This move comes in response to criticism from creators who have seen their original work overshadowed by reposted content. Instagram head Adam Mosseri announced that the platform will replace reposted content in recommendations with the original and add a label linking back to the source. Additionally, aggregators that repeatedly share unoriginal content will be removed from users’ feeds.
China’s pursuit of academic excellence has been marred by widespread scientific fraud. Plagiarism, fabricated data, and pressure to falsify research are prevalent in the country’s universities. This misconduct is driven by incentives that reward quantity over quality in scientific publishing, leading to a staggering number of retractions and questionable papers. Despite government efforts to crack down on fraudulent research, the problem persists. Universities continue to emphasize paper count over research integrity, and the influence of government officials in academia hinders the fostering of genuine scientific inquiry. The courageous actions of Mr. Huang’s graduate students, who exposed his plagiarism and fabrication, offer a ray of hope, but much more needs to be done to purify the pursuit of science in China.
