🐭 Disney creates a task force to explore AI and cut costs + 🎹 Record Labels are monetizing AI-created Music after trying to kill it.Plus: 🚦 MIT guide to the “6 ways to regulate AI” & 🤥 China Drafts Rules for Facial-Recognition Use.
Hi Everyone 🙏, We are late today as we are traveling in Mexico and the van that we are traveling in broke down and put us back a whole night. The positive thing is that it broke down in the beautiful town of Guanajuato and I got the chance to read a book about the 365 languages that exist in this country. That made me think about “Large language models (LLMs)” and how we will not have one that reigns supreme, but several that serve different purposes and different types of communication as we currently have. Some will, unfortunately, be used for wrongdoings, but most will serve us and push our society to the next level. Music LLMs are already changing the music industry and labels are NOW trying to monetize their output, and today we also share news about regulations and How Disney is not wasting time and using the strikes as a motivation to automate their products. Additionally, take advantage of a great discount for the best AI Conference, join before the code expires…
🐭 Disney creates a task force to explore AI and cut costsDisney has created an internal task force to explore leveraging artificial intelligence across its businesses, from reducing movie production costs to enhancing theme park experiences. This AI push comes despite resistance from Hollywood creators fearing job loss. With a legacy of technological innovation and current AI research, Disney aims to aggressively pursue strategic applications of AI but is downplaying the technology publicly amid industry tensions. This is an industry-changing strategy that has been accelerated by the strikes due to the fact that a new genre of AI-generated filmmaking is emerging, as exemplified by "The Frost," a 12-minute movie comprised of AI-created images. Companies like Waymark are exploring fast/cheap AI video generation for advertising. Current tools limit video length and aesthetic range, with advertising being the main application so far. But rapid advances promise to transform film eventually, as experimental filmmakers like Waymark push boundaries with eerie and surreal AI-crafted worlds. Major questions remain around applications, aesthetics, legal issues, and whether AI can make meaningful films, but the technology guarantees radical creativity in the near term. 🚦 MIT guide to the “6 ways to regulate AI”1. Council of Europe Treaty - A legally binding treaty to protect rights and democracy in AI design. This could include moratoriums. Wide reach but implementation challenges. 2. OECD Principles - Nonbinding principles on AI safety, security, and ethics adopted by many countries. Inform policies globally but lack enforcement. 3. Global Partnership on AI - An international body to share AI research and inform policies. Has potential but low profile recently. 4. EU AI Act - Sweeping regulation of high-risk AI uses in the EU. Hefty fines and sales bans for non-compliance. Controversial elements are being debated. 5. Technical Standards - Help companies implement regulations in practice. Some concerns standards organizations lack ethical oversight. 6. UN - Promotes voluntary AI ethics principles globally. Inclusive but countries commitment is questionable. Patchy track record on technology issues.
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🤥 China Drafts Rules for Facial-Recognition UseChina released draft rules to restrict commercial uses of facial recognition technology, bringing it more in line with Western norms, but still allowing broad exceptions for national security purposes as Xi expands that definition. This balances public pushback against ubiquitous surveillance cameras with the government's desire to maintain authoritarian control, especially over dissidents. The granular rules address public concerns while preserving authorities' ability to leverage the technology, exemplifying China’s careful balancing act between regulating cutting-edge technology and maintaining social control. 🎹 Record Labels tried to kill AI-generated Music, Now they monetize it.Google and Universal Music are discussing licensing artists' voices and melodies to develop AI-generated songs fans can create and pay for, seeking to get ahead of the controversial "deepfake" music trend. Though some stars oppose their work being mimicked, artists could opt-in to receive royalties in a model akin to how YouTube now pays for user-generated content.
For Google, AI music would boost its generative AI offerings against competitors. But significant ethical hurdles around consent and IP must still be addressed in developing a legitimate AI music market. 🧰 AI Tools of the Day
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Wednesday, August 9, 2023
🐭 Disney creates a task force to explore AI and cut costs + 🎹 Record Labels are monetizing AI-created Music afte…
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