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Musk: There's very little real-world data left for training AI models
Musk, along with other AI experts, agrees that real-world data for training AI models has almost run out, TechCrunch reports. In a live conversation with Mark Payne, chairman of Stagwell's board of directors, on Wednesday evening, Musk said, "We've now essentially consumed all of the accumulated human knowledge ...... of data used for AI training. This phenomenon basically happened last year." Musk's comments are in line with former OpenAI chief scientist Ilya Sutskever's comments last... -
Italy hits hard: ChatGPT AI data privacy violations, OpenAI fined €15 million
Dec. 21 (Bloomberg) -- Italy's data protection agency Garante announced Friday that it has fined OpenAI 15 million euros (note: currently about 114 million yuan) after concluding an investigation into the use of personal data by a generative AI application and finding that OpenAI did not follow data privacy regulations when training ChatGPT. 1AI cited the announcement as saying that OpenAI did not have a sufficient Italian legal basis to process users' personal data during the training of ChatGPT, violating the principle of transparency and the principle of privacy for the use of...- 987
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Italian Data Protection Authority "personally warns" local media group GEDI not to share data with OpenAI
On Nov. 29, Italy's data protection authority (GPDP) warned local publisher GEDI that it should not share its personal data files with ChatGPT's parent company, OpenAI, in a move that could violate European Union privacy regulations, Reuters reported. Pexels Note: GEDI announced in September that it had entered into a strategic partnership with OpenAI to make its Italian-language news content available to ChatGPT subscribers.GEDI publishes two of Italy's major daily newspapers, La Repubblica and Du...- 2.7k
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OpenAI CEO says there is enough data to train the next generation of artificial intelligence
Sam Altman, CEO of OpenAI, stressed the importance of using high-quality data to train AI models in an interview. He said that high-quality data is critical to AI systems, whether it is human-generated data or synthetic data. Altman mentioned the need for high-quality data for AI systems in an interview at the AI for Good Global Summit. He believes that low-quality data, whether it is from humans or synthetically generated, will become a problem. Altman said: "I think you need...- 1.8k
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MIT Technology Review: Data is the foundation of generative AI
Pre-trained large language models (LLMs) such as GPT-4 and Gemini have attracted much attention from organizations, who are eager to use LLMs to build applications such as chatbots and co-pilots. According to a new report from MIT Technology Review, titled "AI Readiness of C-Level Leaders," a survey conducted on behalf of ETL vendor Fivetran found that scaling AI or GenAI is the "top priority" of 82% executives surveyed. Source Note: Image generated by AI, image license service provider Midjourney survey…- 2.7k
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Meta will use data from European users to train AI, claims it has legitimate interests
Recently, the US company Meta announced that it will begin using European users' data to train its artificial intelligence, claiming that this move has legitimate interests. Meta said that in order to help users get these experiences, it will now use users' information to develop and improve Meta's AI, and users have the right to object to their information being used for these purposes. The company has added updates to its privacy policy to reflect these changes. The update will take effect on June 26, 2024. The notice has been sent to European users through Facebook's in-app notification system: "…- 2.2k
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Research: The Internet is full of low-quality machine-translated content, and large language model training needs to be wary of data traps
Researchers at Amazon Cloud AI Labs found that a large amount of content on the Internet comes from machine translation (MT), and the quality of these translated content across multiple languages is generally low. The research team emphasized that this highlights the importance of data quality and source considerations when training large language models (LLMs). Image source Pexels The study also found that machine-generated content is common in translations of languages with fewer resources and accounts for a large portion of online content. IT Home noted that the research team developed a massive...- 1.5k
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