Recent months have seen a surge of interest and activity from advocates, politicians, and scholars from various disciplines due to the extensive public deployment of large language models (LLMs). While this focus is warranted in light of the pressing concerns that new technology brings, it can also overlook some crucial factors. Recently, there has been much interest from journalists, policymakers, and scholars across disciplines in large language models and products built on them, such as ChatGPT. Nevertheless, because this technology surprises in so many ways, it is easy for concise explanations to gloss over key details. The recent increase in research and investment in LLMs may largely be attributed to the results of scaling laws.

Thought is ever-changing electrical patterns unconnected to individual neurons. Meta is working on a system to read your mind.

If you've heard about ChatGPT and think it's just a fancy chatbot, you might be underestimating the range of what it can do. Here are some surprising things you can do with ChatGPT, whether you want to write a resume or have it dungeon-master an epic role-playing adventure. It, and similar AI engines, are still quite new. You can take a deep dive into ChatGPT, and we can even help you learn how to use ChatGPT, but here's a quick summary before we look at some of the more novel ways you can use the AI chat service. ChatGPT is an algorithmic AI chat system trained on a massive collection of internet-based resources (websites, forums, documents, and so on) to provide a human-like response to inquiries.

New Scientist Live, the world's greatest festival of science, finished yesterday after three days of mind-expanding talks and exhilarating experiences. Thousands of people attended each day, meeting robots, trying cutting-edge virtual reality set-ups and learning everything from whether science can save humanity to the design flaws in the human body. Most importantly, we had an amazing time. Here are nine incredible things we learned there. We heard Gillian Forrester explain that we may be able to shed light on the longstanding mystery of how humans evolved the ability to speak by studying these great apes.

Artificial intelligence (AI) has transformed many aspects of our lives for the better. It even played a role in developing vaccines against COVID-19. But you may be surprised just how many things we take for granted that rely on AI. As IBM explain, "at its simplest form, artificial intelligence is a field, which combines computer science and robust datasets to enable problem-solving." It includes the sub-fields of machine learning and deep learning.

As IBM explain, "at its simplest form, artificial intelligence is a field, which combines computer science and robust datasets to enable problem-solving." It includes the sub-fields of machine learning and deep learning. These two fields use algorithms that are designed to make predictions or classifications based on input data. Of course, as technology becomes more sophisticated, literally millions of decisions need to be made every day and AI speeds things up and takes the burden off humans. The World Economic Forum describes AI as a key driver of the Fourth Industrial Revolution.

As IBM explain, "at its simplest form, artificial intelligence is a field, which combines computer science and robust datasets to enable problem-solving." It includes the sub-fields of machine learning and deep learning. These two fields use algorithms that are designed to make predictions or classifications based on input data.

When it comes to figuring out what accounting firms are going to do, the best approach is simple: Ask. That's the theory behind Accounting Today's annual "Year Ahead" report: Each year we survey accountants across the country -- this year almost 600 responded -- to ask them about their plans for the next 12 months in areas ranging from tax season to staffing to marketing to technology. To complement that, we reached out to a selection of top firm leaders to get their take on the major issues they're expecting to face in 2020, and their advice for their fellow practitioners. This year's panel comprises Tom Barry, managing partner of Los Angeles-based Green Hasson Janks; Avani Desai, president of Tampa, Florida-based Schellman & Co.; and Heidi LaMarca, CEO and managing partner of Atlanta-based Windham Brannon. What are the trends that accountants and firms should keep an eye out for in 2020?

January 31, 2019Disaster relief, remote-healthcare diagnostics, tracking rhino poachers, upping student achievement--each of these disparate activities could get a big boost from artificial intelligence (AI). A recent discussion paper from the McKinsey Global Institute (MGI), "Notes from the AI frontier: Applying AI for social good," lays out just how AI can help tackle some of the world's most challenging social problems, analyzing 160 use cases. The good news: about one-third are already being used today. Still, there's much more that can be done, both to implement these solutions and to fully understand the breadth of what they can do for social-good organizations. We gathered questions about this topic from our social-media audience around the globe for Michael Chui, an MGI partner based in McKinsey's San Francisco office and one of the report's authors.

Future AI may be super powerful but, as Dr. Joanna Bryson of the University of Bath relates, that still won't make it a person. The desire to bestow human life on inanimate material has been a component of our collective imagination since at least the days of Ovid. In his work Metamorphoses he relates the tale of Pygmalion, who sculpted Galatea out of ivory and besought her animation at the hands of Aphrodite. Two thousand years later, we still see that narrative trope playing itself out in stories such as Alex Garland's Oscar-winning film Ex Machina, where an AI developer creates an autonomous female android named Ava as the key component of a Turing Test. From marriage to murder, the finales of these and other similar stories range from wish fulfillment to cautionary tale, but the psychological underpinnings remain the same: the aspiration to take something intrinsically non-human (such as ivory or silicon) and humanize it.