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Newsletter - - Page 2
21
Aug
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) […]
14
Aug
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 […]
11
Aug
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 […]
2
Aug
The following guest column was contributed by our friend and partner Kevin Slimp of the Kevin Slimp Webinar Series. My friend, Kari, wrote to me from her newspaper in Indiana this morning. Her message reminded me of the questions I received daily when doing I.T. work for newspaper groups a decade or two ago. Her email went something like this: “The PDF file of this page looks perfect, but the […]
27
Jul
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 […]
26
Jul
Our engineers have recently released an update that gives publishers more control over how your website’s Search Results are displayed, allowing you to toggle between “Standard” or “Contextual” search results. So what are Standard and Contextual search results? By default, our websites utilize Contextual Search Results. This means that when a visitor enters a term in the search box, the search results are displayed in a way that highlights the […]
26
Jul
Our-Hometown will be hosting a LIVE WEBINAR on Protecting Your Content from AI next month on September 21st at 2PM Eastern. With so much focus lately on new AI technologies and the limitless potential they represent for news publishers, one negative that has often gone overlooked is the risk of AI scraping your content without your permission. One way that AI language models train themselves to remain current is to […]
24
Jul
In the ever-evolving digital landscape, the role of artificial intelligence (AI) has become a topic of intense discussion and scrutiny. This video commentary delves into this complex issue, offering a unique perspective on the potential dangers of AI, particularly in relation to the effects of social media.
21
Jul
In this live webinar replay Matt and Christopher discuss Reverse Publishing and its benefits for publishers as well as the efficiency gains of using AI generated content and images. The demonstration includes the AI Engine plugin for WordPress and how to create an article from a prompt, how to steer the AI and finally generating a featured image for the article.
17
Jul
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 […]