The chatbot technology can improve security by cyber defense automation, threat intelligence, attack identification, and reporting. Chris Granatino, a librarian at Seattle University, noted that while ChatGPT can generate content that seemingly includes legitimate citations, in most cases those citations are not real or largely incorrect. As of July 2025, Science expects authors to release in full how AI-generated content is used and made in their work. Some, including Nature and JAMA Network, "require that authors disclose the use of text-generating tools and ban listing a large language model (LLM) such as ChatGPT as a co-author". Andrew Ng argued that "it's a mistake to fall for the doomsday hype on AI—and that regulators who do will only benefit vested interests." Yann LeCun dismissed doomsday warnings of AI-powered misinformation and existential threats to the human race. Juergen Schmidhuber said that in 95% of cases, AI research is about making "human lives longer and healthier and easier." He added that while AI can be used by bad actors, it "can also be used against the bad actors".
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- On November 29, Rosário revealed that the bill had been entirely written by ChatGPT, and that he had presented it to the rest of the council without making any changes or disclosing the chatbot’s involvement.
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- ChatGPT’s Mandarin Chinese abilities were lauded, but the ability of the AI to produce content in Mandarin Chinese in a Taiwanese accent was found to be “less than ideal” due to differences between mainland Mandarin Chinese and Taiwanese Mandarin.
- ChatGPT is programmed to reject prompts that may violate its content policy.
- Samantha Lock of The Guardian noted that it was able to generate “impressively detailed” and “human-like” text.
- OpenAI’s outsourcing partner was Sama, a training-data company based in San Francisco, California.
- ChatGPT is frequently used for translation and summarization tasks, and can simulate interactive environments such as a Linux terminal, a multi-user chat room, or simple text-based games such as tic-tac-toe.
Kevin Roose of The New York Times called it "the best artificial intelligence chatbot ever released to the general public". Generative Pre-trained Transformer 4 (GPT-4) is a large language model developed by OpenAI and the fourth in its series of GPT foundation models. Later reports showed the bug was much more severe than initially believed, with OpenAI reporting that it had leaked users' "first and last name, email address, payment address, the last four digits (only) of a credit card number, and credit card expiration date".
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- The ethics of its development, particularly the use of copyrighted content as training data, have also drawn controversy.
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The model can also generate new images based on existing ones provided in the prompt, which can, for example, be used to transform images with specific styles or inpaint areas. These include, among many others, writing and debugging computer programs, composing music, scripts, fairy tales, and essays, answering questions (sometimes at a level exceeding that of an average human test-taker), and generating business concepts. It is designed to generate human-like text and can carry out a wide variety of tasks. ChatGPT's training data includes software manual pages, information about internet phenomena such as bulletin board systems, multiple programming languages, and the text of Wikipedia. OpenAI's outsourcing partner was Sama, a training-data company based in San Francisco, California. The laborers were exposed to toxic and traumatic content; one worker described the assignment as "torture".
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Shortly after the bug was fixed, users could not see their conversation history. In March 2023, a bug allowed some users to see the titles of other users' conversations. One such workaround, popularized on Reddit in early 2023, involved making ChatGPT assume the persona of "DAN" (an acronym for "Do Anything Now"), instructing the chatbot that DAN answers queries that would otherwise be rejected by the content policy. Despite this, users may "jailbreak" ChatGPT with prompt engineering techniques to bypass these restrictions. … It's also a way to understand the "hallucinations", or nonsensical answers to factual questions, to which large language models such as ChatGPT are all too prone. The reward model of ChatGPT, designed around human oversight, can be over-optimized and thus hinder performance, in an example of an optimization pathology known as Goodhart's law.
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