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Search resuls for: "Cheng Yang"


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Generative AI could soon be trained on AI-generated content — and experts are raising the alarm. The new term comes as AI-generated content filled with errors continues to flood the internet. Other AI researchers have coined their own terms to describe the training method. Jathan Sadowski, a senior fellow at the Emerging Technologies Research Lab in Australia who researches AI, called this phenomenon "Habsburg AI," arguing that AI systems heavily trained on outputs of other generative AI tools can create "inbred mutant" responses that contain "exaggerated, grotesque features." These new terms come as AI-generated content has flooded the internet since OpenAI launched ChatGPT last November.
Persons: Jathan, paywalls, Ray Wang, Baji, Cohere, OpenAI, ChatGPT, It's, Gizmodo, Kai, Cheng Yang, OpenAI's chatbot, Yang Organizations: University of Oxford, University of Cambridge, Stanford, Rice, Emerging Technologies, Constellation Research, CNET, Microsoft, Ottawa Food Bank Locations: Australia, Ottawa
One of the latest is flooding social media with spam bots and AI-generated content that could further degrade the quality of information on the internet. Botnets are networks of hundreds of harmful bots and spam campaigns on social media that can go undetected by current anti-spam filters. We can still detect AI-generated spam — for nowBoth NewsGuard and the paper's researchers were separately able to unearth AI-generated spam content using an obvious tell that chatbots currently have. AdvertisementAdvertisementResearchers look for when these responses slip out in an automated bot's content, whether on a webpage or in a tweet. AdvertisementAdvertisementOne such measure was tagging AI-generated content with a hidden label to help people distinguish it from content made by humans, per the White House.
Persons: Kai, Cheng Yang, Filippo Menczer, Yang, Menczer, ChatGPT, chatbots, Wei Xu, Europol, Xu, Biden Organizations: Indiana University, Twitter, ChatGPT, Indiana University's Observatory, Social Media, telltale, Georgia Institute of Technology, Regulators, Google, Microsoft, House Locations: Indiana
July 3 (Reuters) - Elon Musk's move to temporarily cap how many posts Twitter users can read on the social media site could undermine efforts by the company's new Chief Executive Linda Yaccarino to attract advertisers, marketing industry professionals said. Under the new cap, unverified accounts were initially limited to 600 posts a day with new unverified accounts limited to 300. Verified accounts could read 6,000 posts a day, Musk said in a post on the site. Hours later, he said the cap was raised to 10,000 posts per day for verified users, 1,000 per day for unverified and 500 posts per day for new unverified users. Kai-Cheng Yang, researcher at Indiana University in Bloomington, said that the limits appeared to be effective in blocking third parties, including search engines, from scraping Twitter data like before.
Persons: Elon Musk's, Linda Yaccarino, Musk, Yaccarino, Mike Proulx, Forrester, Lou Paskalis, Jasmine Enberg, Kai, Cheng Yang, Jody Godoy, Sheila Dang, Akash Sriram, Burton Frierson, Nick Zieminski Organizations: Financial Times, AJL Advisory, Bank of America, Twitter, Insider Intelligence, Indiana University, Thomson Locations: Bloomington, New York, Dallas, Bengaluru
July 3 (Reuters) - Elon Musk's move to temporarily cap how many posts Twitter users can read on the social media site could undermine efforts by the company's new Chief Executive Linda Yaccarino to attract advertisers, marketing industry professionals said. Under the new cap, unverified accounts were initially limited to 600 posts a day with new unverified accounts limited to 300. Verified accounts could read 6,000 posts a day, Musk said in a post on the site. Hours later, he said the cap was raised to 10,000 posts per day for verified users, 1,000 per day for unverified and 500 posts per day for new unverified users. Kai-Cheng Yang, researcher at Indiana University in Bloomington, said that the limits appeared to be effective in blocking third parties, including search engines, from scraping Twitter data like before.
Persons: Elon Musk's, Linda Yaccarino, Musk, Yaccarino, Mike Proulx, Forrester, Lou Paskalis, Jasmine Enberg, Kai, Cheng Yang, Jody Godoy, Sheila Dang, Akash Sriram, Burton Frierson, Nick Zieminski Organizations: Financial Times, AJL Advisory, Bank of America, Twitter, Insider Intelligence, Indiana University, Thomson Locations: Bloomington, New York, Dallas, Bengaluru
But Twitter’s changes erecting a paywall for API access may jeopardize all that, Tromble and other researchers said. Undermining the fight against botsMusk has framed Twitter’s API restrictions as part of his wider effort to stamp out spammy, automated accounts. Ironically, however, Musk’s looming changes to the Twitter API might make it harder to study bot behavior on Twitter. API access has provided a critical resource for that work. “The researchers who were signed up to the program have heard nothing from the company in months, since Musk’s acquisition.”Adding to Twitter’s scrutiny by regulatorsBeyond the immediate impact to researchers, Twitter’s transparency issues could land the company in hot water with policymakers.
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