Christopher Winders - - Page 7

In an era where artificial intelligence (AI) shapes industries and drives innovation, intellectual property (IP) policies are at the forefront of national security, economic growth, and technological leadership. The recent lawsuits involving authors and digital artists suing tech developers over generative AI technology highlight the complexities and challenges in this field. National Security Commission on Artificial Intelligence Executives and academic leaders of the National Security Commission on Artificial Intelligence (NSCAI) […]

Our-Hometown is dedicated to helping local newspaper publishers across the country protect their digital content. As large language models powered by artificial intelligence continue expanding, our publishing clients face mounting threats of unauthorized scraping and reuse of their articles for AI training databases. At Our-Hometown, we’ve implemented multiple technical safeguards to combat this emerging risk. For customer websites we host and manage, Our-Hometown starts by offering comprehensive paywalls or requiring […]

Introduction A report from the London School of Economics, “AI & Journalism: New powers, new responsibilities” provides a comprehensive look at how news organizations around the world are adopting artificial intelligence technologies. The Journalism AI Report was compiled by Charlie Beckett, founding director of Polis, and surveyed over 70 media companies in 32 countries about their use and views on AI. It found that while AI is already deeply embedded […]

We recently released a video commentary on the presentation “The AI Dilemma,” being given by Tristan Harris and Aza Raskin on some of the possible negative impacts of the rapid deployment of generative AI tools. They are two of the co-founders of the Center for Humane Technology, a tech watchdog group that raised alarms about social media and its impact on society. They are also the hosts of the podcast […]

What types of datasets are used to train LLMs? This post provides a brief summary of several corpora used for training Large Language Models (LLMs), categorized into six groups: Books, CommonCrawl, Reddit links, Wikipedia, Code, and others. The original paper, “A Survey of Large Language Models,” can be found here. Books: This category includes BookCorpus, consisting of over 11,000 books of various topics and genres, and Project Gutenberg, which contains […]