Recent items that have advanced our thinking re GenAI.
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A study from MIT CSAIL, MIT Sloan, The Productivity Institute, and IBM’s Institute for Business Value challenges the belief that AI will rapidly automate jobs. The research focuses on the economic practicality of using AI for automating tasks, specifically in computer vision. The findings reveal that currently, only about 23 percent of wages paid for vision-related tasks are economically viable for AI automation. The study also explores the potential impact of reduced AI system costs and the emergence of AI-as-a-service platforms. It emphasizes the need for workforce retraining and policy development, as well as the creation of new job categories focused on managing and improving AI systems.
Sam Altman, CEO of OpenAI, believes that an "energy breakthrough" such as nuclear fusion is necessary to address the energy demands of artificial intelligence (AI) and enable an AI revolution. The training of advanced AI models requires significant energy consumption and contributes to greenhouse gas emissions. Altman suggests that solutions like nuclear fusion and affordable solar energy can help meet the growing energy demand of AI. While Altman previously made cataclysmic claims about AI, he now believes that AI will have a lesser impact on the world and jobs than previously thought. He still anticipates the development of artificial general intelligence (AGI) in the near future but is less concerned about its disruptive effects. Altman also emphasizes the need for caution in relying on AI for life or death decisions.
Many leaders in the Am Law 100 have restricted early use of generative AI to functions that don't require client-specific information. Analyzing documents and generating drafts of legal and marketing material are common uses. Firm leaders agree that generative AI will increase efficiency in legal operations. Law firms have implemented policies and guidelines to govern the use of generative AI, and there is a balance between internal tool development and purchasing from third-party vendors.
Duolingo is cutting 10% of its contractors as it increasingly relies on generative AI for content development, leading to concerns about job displacement. The use of AI for translations has resulted in a significant reduction in the number of human workers needed. While Duolingo emphasizes that human experts are still involved in content creation, there is a debate over the ethical implications of replacing human-led work with AI.
A multinational company in Hong Kong lost HK$200 million ($25.6 million) in a deepfake scam. Scammers used digitally recreated versions of company employees, including the CFO, in a video conference call to instruct an employee to transfer funds. This incident highlights the challenges posed by deepfakes in discerning real from fabricated content. Hong Kong police are investigating the case, and measures to prevent future deepfake scams are being considered.
According to guidance released by the NJ Judiciary, the use of AI is deemed "unavoidable" for attorneys. Lawyers are urged to determine how AI can be used while maintaining ethical standards and keeping up with their peers.
Darrow, a legal tech startup, has launched PlaintiffLink, an AI-powered service that helps find plaintiffs. The service aims to streamline the process of finding plaintiffs for legal cases. Darrow's PlaintiffLink is an active service as of May 14, 2024.
The article introduces 'Smaug-72B', a new open-source AI that is being hailed as the new king in the field. It provides the Item ID, Sort Order, Created time, Last edited time, Top 10 status, URL, and mentions that it is currently active.
New corporate-transparency laws will impose a significant burden on companies, requiring them to submit a large number of filings. The laws aim to enhance transparency in corporate operations. The article provides details about the impact of these laws and their requirements. For more information, refer to the article at the provided URL.
A study from MIT CSAIL, MIT Sloan, The Productivity Institute, and IBM’s Institute for Business Value challenges the belief that AI will rapidly automate jobs. The research focuses on the economic practicality of using AI for automating tasks, specifically in computer vision. The findings reveal that currently, only about 23 percent of wages paid for vision-related tasks are economically viable for AI automation. The study also explores the potential impact of reduced AI system costs and the emergence of AI-as-a-service platforms. It emphasizes the need for workforce retraining and policy development, as well as the creation of new job categories focused on managing and improving AI systems.
Many leaders in the Am Law 100 have restricted early use of generative AI to functions that don't require client-specific information. Analyzing documents and generating drafts of legal and marketing material are common uses. Firm leaders agree that generative AI will increase efficiency in legal operations. Law firms have implemented policies and guidelines to govern the use of generative AI, and there is a balance between internal tool development and purchasing from third-party vendors.