Creator Says Season 2 'Defies Expectations' The historical series was an international hit that won a record 18 Emmy Awards. 's second season is currently in production. At a time when complex algorithms dictate taste and determine which show will become popular next, there's some comfort in the fact that a multicultural, largely subtitled, and decidedly analog historical drama can still become a hit. The drama series, which takes place in 17th-century Japan, captivated viewers and critics across different cultures by creating a deeply immersive world. The bilingual show premiered on FX and Hulu in early 2024 and, later that year, won a record 18 Primetime Emmy Awards.

The "LLM-as-a-judge" paradigm employs Large Language Models (LLMs) as annotators and evaluators in tasks traditionally performed by humans. LLM annotations are widely used, not only in NLP research but also in fields like medicine, psychology, and social science. Despite their role in shaping study results and insights, there is no standard or rigorous procedure to determine whether LLMs can replace human annotators. In this paper, we propose a novel statistical procedure -- the Alternative Annotator Test (alt-test) -- that requires only a modest subset of annotated examples to justify using LLM annotations. Additionally, we introduce a versatile and interpretable measure for comparing LLM judges. To demonstrate our procedure, we curated a diverse collection of ten datasets, consisting of language and vision-language tasks, and conducted experiments with six LLMs and four prompting techniques. Our results show that LLMs can sometimes replace humans with closed-source LLMs (such as GPT-4o), outperforming open-source LLMs, and that prompting techniques yield judges of varying quality. We hope this study encourages more rigorous and reliable practices.

Speaking ahead of the event in London, US Vice President Kamala Harris said that world leaders "must address the full spectrum of AI risks to humanity" and listed examples of faulty algorithms in healthcare, the use of AI in making "deepfakes", misinformation and biased facial recognition.

How does it feel inside your head? Maybe you're daydreaming, allowing your mind to wander. Or maybe it feels sharp and alert. Maybe your thoughts are forging freely ahead, a sign that you have achieved the fabled state of "flow". More likely, however, your brain feels like a browser with too many tabs open.

Dr Mark van Rijmenam is The Digital Speaker. He is a leading strategic futurist who thinks about how technology changes organisations, society and the metaverse. Dr Mark van Rijmenam is an international keynote speaker, 5x author and entrepreneur. He is the founder of Datafloq and the author of the book on the metaverse: Step into the Metaverse: How the Immersive Internet Will Unlock a Trillion-Dollar Social Economy, detailing what the metaverse is and how organizations and consumers can benefit from the immersive internet. He is the publisher of the'f(x) e x' newsletter, read by thousands of executives, on the future of work and the organization of tomorrow.

Feeld Notes is a column about a middle-aged woman who suddenly realizes she wants to have sex again--and the beguiling app she uses to do it. Men are disappearing on me all the time on this fucking app. Within the first six weeks of my time on Feeld, I'd had some fun, but I'd also been flaked on or ghosted no fewer than six times. There was one guy, Mike, a short, brown-haired, 33-year-old writer who described himself as a "dom" and promised to show me the ropes around domination and submission. I spent a few steamy nights chatting with him on WhatsApp, then made a plan to meet up with him on a Friday night.

In a recent episode at Mind Matters News podcasting, "Can a computer be a person?" Wesley J. Smith: Let me ask the question in a different way. Can an AI ever be irrational? A classic example, and this happened a number of years ago, was that the Soviets during the Cold War developed a high technology to decide whether the US was being attacked by… I'm sorry, whether the Soviet Union was being attacked by the United States. And so they had these missile detectors.

Mark Minevich is a highly regarded and trusted Digital Cognitive AI Strategist, Artificial Intelligence expert, Global Social Innovation and Technology Executive, UN Advisor, Leading Author and Columnist, Private Investor/Venture Capitalist, and the principal founder and President of Going Global Ventures. He is an award-winning technology executive and has published two books and over 40 articles on AI, Industry 4.0, IoT. Mark is newly appointed Chairman of the Executive committee of AI for Good Foundation. Mark is a Chief Digital Strategist at the International Research Centre for AI, under the auspices of UNESCO. Currently, he serves as the strategic advisor and Global ambassador to the CEO and Chairman of New York based Amelia/ IPsoft Inc.

Looking for a faster way to understand data issues and patterns, before you dive into the fun part of training your ML model? Wanna learn how to train better ML models, by finding and fixing issues in your data? You've come to the right place. In this article, you will learn how to do data exploration at the speed of light, using the amazing open-source library Sweetviz. Let's go through a hands-on example and code you can find in this GitHub repository.

Technology leaders from Bill Gates to Elon Musk and others have warned us in recent years that one of the biggest threats to humanity is uncontrolled domination by artificial intelligence (AI). In 2017, Musk said at a conference, "I have exposure to the most cutting edge AI, and I think people should be really concerned about it." And in 2019, Bill Gates stated that while we will see mainly advantages from AI initially, ". . . And the transhumanist camp, led by such zealots as Ray Kurzweil, seems to think that the future takeover of the universe by AI is not only inevitable, but a good thing, because it will leave our old-fashioned mortal meat computers (otherwise known as brains) in the junkpile where they belong. So in a way, it's refreshing to see a book come out whose author stands up and, in effect, says "Baloney" to all that. The book is Non-Computable You: What You Do that Artificial Intelligence Never Will, and the author is Robert J. Marks II.