Dialogue from these movies and TV shows has been used by companies such as Apple and Anthropic to train AI systems. The files within this data set are not scripts, exactly. Rather, they are subtitles taken from a website called OpenSubtitles.org. Users of the site typically extract subtitles from DVDs, Blu-ray discs, and internet streams using optical-character-recognition (OCR) software.
Source: There’s No Longer Any Doubt That Hollywood Writing Is Powering AI
People write with personal style and individual flourishes that set them apart from other writers. So does AI, including top programs like Chat GPT, new Johns Hopkins University-led research finds. A new tool can not only detect writing created by AI, it can predict which large language model created it.
Sir David Attenborough does not approve of AI being used to replicate his voice, telling BBC News he is ‘profoundly disturbed’ by the technology. “Having spent a lifetime trying to speak what I believe to be the truth, I am profoundly disturbed to find that these days, my identity is being stolen by others and greatly object to them using it to say whatever they wish.”
What is the nature of intelligence of LLMs and the artificial intelligence (AI) systems built on them? The disagreements in the AI world on how to think about LLMs are starkly revealed in this diverse array of metaphors. Given our limited understanding of the impressive feats and unpredictable errors of these systems, it has been argued that “metaphors are all we have for the moment to circle that black box.”
The Wall Street Journal is experimenting with AI-generated article summaries that appear at the top of its news stories. The summaries appear as a “Key Points” box with bullets summarizing the piece. The Verge spotted the test on a story about Trump’s plans for the Department of Education, and the Journal confirmed it’s trialing the feature to see how readers respond.
Source: The Wall Street Journal is testing AI article summaries
As the technology’s reach into the information sector expands, a recent report from Ithaka S+R shows that academe is still grappling with how best to integrate it into the scholarly publishing process. “Generative AI has injected a lot of variables into the equation of scholarly publishing. And there’s not yet a shared framework for understanding what those implications are,” said Dylan Ruediger, co-author of the report and a senior program manager of the research enterprise division at Ithaka S+R.
Source: Scholarly publishing world slow to embrace generative AI
GEMA alleges that OpenAI, via its ChatGPT chatbot, “reproduce[es] protected song lyrics by German authors without having acquired licenses or paid the authors in question.” According to the organization, the lawsuit aims “to prove that OpenAI systematically uses GEMA’s repertoire to train its systems.” GEMA represents the copyrights of around 95,000 members in Germany (composers, lyricists, music publishers) as well as over two million rightsholders worldwide.
Source: ChatGPT maker OpenAI, valued at $157bn, sued by GEMA in Germany over unlicensed use of song lyrics
AI-powered search engine Perplexity says it’ll begin experimenting with ads on its platform starting this week. The site will start showing ads in the U.S. to start, and they’ll be formatted as “sponsored follow-up questions.” (E.g., “How can I use LinkedIn to enhance my job search?”) “Ad programs like this help us generate revenue to share with our publisher partners,” Perplexity wrote in a post on its blog.
Particle’s plan is to use AI to do two particularly useful things. First, it organizes lots of articles and coverage into collections the platform calls “Stories,” so you can get lots of information and perspective on whatever you’re reading about. Some stories in Particle include more than 100 news articles, plus X posts, a section of salient quotes on the subject, and more.
Source: Particle is a new app using AI to organize and summarize the news
Researchers in Japan have used artificial intelligence to recreate a stunningly accurate 3D model of a centuries-old stone relief based on a single, faded photograph taken 134 years ago. This technique could prove a game-changer for digital preservation, especially for artifacts that are hidden, too fragile to be excavated, or too delicate for conventional 3D modeling.
Source: Breakthrough A.I. Model Reveals Lost Ancient Relief from 134-Year-Old Photo