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Recently, the AI company Anthropic invested millions of dollars to purchase and "dismantle" a large number of books for training its AI assistant Claude. This move has drawn widespread public attention and sparked heated discussions in the legal community. According to a report by the foreign media Ars Technica, Anthropic adopted a controversial method to obtain training data. They dismantled a large number of physical books, scanned them into digital files, and then destroyed the original copies. This practice was revealed in court documents.

Recently, Meta's FAIR team and researchers from the Hebrew University of Jerusalem jointly released a new study indicating that reducing the reasoning time of large language models can significantly improve their performance in complex reasoning tasks. The research findings show that using shorter reasoning chains, the accuracy of AI models has increased by 34.5%, which challenges some assumptions in the current AI industry. Image source notes: The image was generated by AI and is licensed by Midjourney in this study, the authors point out that prolonged deliberation

Joelle Pineau, Meta's Vice President of AI Research, announced on Tuesday via Facebook that she plans to leave the company in May. A highly respected leader within Meta's AI research lab (FAIR) for over two years, she oversaw the company's innovation and development in AI. Pineau's departure comes at a crucial time for Meta, as the company plans to invest up to $65 billion in AI by 2025.

Joelle Pineau, VP of Meta AI Research, announced on Tuesday via a Facebook post that she will be leaving her position at Meta in May. Pineau has served as the head of Meta's Fundamental AI Research (FAIR) lab for the past two years, leading the lab's cutting-edge research in artificial intelligence. FAIR is a core internal research team at Meta, led by renowned scientist Yann LeCun. Pineau's departure comes as Meta...

The Recording Industry Association of America (RIAA) has filed a lawsuit against music generation startups Udio and Suno, accusing them of using copyrighted music to train AI models. Suno admitted to using copyrighted songs for training and claims that this constitutes fair use. However, the RIAA argues that these actions do not align with the principles of fair use and threaten artists' livelihoods. The ruling in this case could set an important precedent for the AI music training field, affecting the future of related companies and industry regulations.

The application of artificial intelligence in job recruitment aims to improve objectivity and efficiency, but studies reveal its potential to exacerbate bias. AI learns from data, and biases in datasets can lead to unfair algorithmic outcomes. The educational and professional gaps between HR and AI developers hinder effective collaboration, impacting the ability to identify and reduce biases. To address this issue, it is recommended to implement structured training programs to enhance HR professionals' knowledge of AI; promote interdisciplinary teamwork to ensure datasets are diverse and represent different groups; and establish guidelines and ethics.

The counter-cyclical boom in the AI sector has raised concerns among many investors, with early-stage funding globally declining by 40% in 2023, while funding in the AI sector approaches $50 billion.

Ed Newton-Rex, the audio head of Stability AI, resigned due to his disagreement with the company's stance that training generative AI models on copyrighted works falls under 'fair use.' This move sparked widespread discussion about the concept of 'fair use' and the extensive use of content by AI models without creator permission. Newton-Rex opposes the entire industry group adopting the same approach, arguing that copyright issues extend beyond Stability AI.