In its first foray into business content, the platform has asked lingerie entrepreneur and ex-SuicideGirl Rachael McCrary to teach creators how to monetize their ideas. OnlyFans has tapped the founder of a lingerie company and former nude model to launch business classes on the platform. Rachael McCrary, a longtime lingerie designer and founder of the company Spice Rack, is launching four videos on OnlyFans Wednesday. The videos are quite different from the usual OnlyFans fare. They'll focus on pitching investors, building a brand, and navigating being an entrepreneur as a woman, McCrary tells WIRED.

The survey uncovered worries about the advance of AI, with only 17% saying it was a good substitute for human interaction. The survey uncovered worries about the advance of AI, with only 17% saying it was a good substitute for human interaction. UK workers wary of AI despite Starmer's push to increase uptake, survey finds It is the work shortcut that dare not speak its name. A third of people do not tell their bosses about their use of AI tools amid fears their ability will be questioned if they do. Research for the Guardian has revealed that only 13% of UK adults openly discuss their use of AI with senior staff at work and close to half think of it as a tool to help people who are not very good at their jobs to get by.

Imagine a customer-service center that speaks your language, no matter what it is. Alorica, a company in Irvine, California, that runs customer-service centers around the world, has introduced an artificial intelligence translation tool that lets its representatives talk with customers who speak 200 different languages and 75 dialects. So an Alorica representative who speaks, say, only Spanish can field a complaint about a balky printer or an incorrect bank statement from a Cantonese speaker in Hong Kong. Alorica wouldn't need to hire a rep who speaks Cantonese. Such is the power of AI.

The rapid evolution of artificial intelligence (AI), especially in the domain of Large Language Models (LLMs) and generative AI, has opened new avenues for application across various fields, yet its role in business education remains underexplored. This study introduces the first benchmark to assess the performance of seven major LLMs, OpenAI's models (GPT-3.5 Turbo, GPT-4, and GPT-4 Turbo), Google's models (PaLM 2, Gemini 1.0 Pro), and Anthropic's models (Claude 2 and Claude 2.1), on the GMAT, which is a key exam in the admission process for graduate business programs. Our analysis shows that most LLMs outperform human candidates, with GPT-4 Turbo not only outperforming the other models but also surpassing the average scores of graduate students at top business schools. Through a case study, this research examines GPT-4 Turbo's ability to explain answers, evaluate responses, identify errors, tailor instructions, and generate alternative scenarios. The latest LLM versions, GPT-4 Turbo, Claude 2.1, and Gemini 1.0 Pro, show marked improvements in reasoning tasks compared to their predecessors, underscoring their potential for complex problem-solving. While AI's promise in education, assessment, and tutoring is clear, challenges remain. Our study not only sheds light on LLMs' academic potential but also emphasizes the need for careful development and application of AI in education. As AI technology advances, it is imperative to establish frameworks and protocols for AI interaction, verify the accuracy of AI-generated content, ensure worldwide access for diverse learners, and create an educational environment where AI supports human expertise. This research sets the stage for further exploration into the responsible use of AI to enrich educational experiences and improve exam preparation and assessment methods.

OpenAI's messy firing and re-hiring of its powerful chief executive this week shocked the tech world. But the power struggle has implications beyond the company's boardroom, AI experts said. It throws into relief the greenness of the AI industry and the strong desire in Silicon Valley to be first, and raises urgent questions about the safety of the technology. "The AI that we're looking at now is immature. There are no standards, no professional body, no certifications. Everybody figures out how to do it, figures out their own internal norms," said Rayid Ghani, a professor of machine learning and public policy at Carnegie Mellon University.

Large language models (LLMs) have advanced in large strides due to the effectiveness of the self-attention mechanism that processes and compares all tokens at once. However, this mechanism comes with a fundamental issue -- the predetermined context window is bound to be limited. Despite attempts to extend the context window through methods like extrapolating the positional embedding, using recurrence, or selectively retrieving essential parts of the long sequence, long-text understanding continues to be a challenge. We propose an alternative approach which instead treats the LLM as an interactive agent, allowing it to decide how to read the text via iterative prompting. We introduce MemWalker, a method that first processes the long context into a tree of summary nodes. Upon receiving a query, the model navigates this tree in search of relevant information, and responds once it gathers sufficient information. On long-text question answering tasks our method outperforms baseline approaches that use long context windows, recurrence, and retrieval. We show that, beyond effective reading, MemWalker enhances explainability by highlighting the reasoning steps as it interactively reads the text; pinpointing the relevant text segments related to the query.

Since "google" entered our vocabulary as a synonym for "search," Google's dominance in the search market has seemed unshakable, making the very idea of competition between search engines seem unlikely. But the entrance of generative AI tools like ChatGPT -- developed by OpenAI in partnership with Microsoft -- has ignited the potential for a competitor to knock Google's capabilities off the top of the search pyramid. Microsoft's new Bing Chat, which integrates the same AI technology that powers the ChatGPT bot, is already generating curiosity, controversy, and a long waitlist of would-be users. Google's parent company, Alphabet, has also developed its own AI chatbot, Bard. The future success and impact of these new technologies are very much open questions, so we turned to our expert panelists for their responses to this statement: The use of generative AI will restore competition in search.

Way back in 2019--an eon ago in AI time--the New York Times reported an AI milestone: Aristo, a natural-language processing and reasoning system scored over 90% on parts of the New York Regents 8th Grade Science Exam, and over 83% on parts of the corresponding Grade 12 Science Exam. Aristo, the Times proclaimed, "is ready for high school science. I argued this at the time: "The truth is that while these systems perform well on specific language-processing tests, they can only take the test. None come anywhere close to matching humans in reading comprehension or other general abilities that the test was designed to measure." Moreover, such systems lack the basic commonsense understanding of the world that is assumed of humans taking the same tests.

I did a startup in 1998 by applying AI to the lead generation and qualification problem. It was early. The data was not yet rich enough. Now, the data is there. Can the problem finally be solved at the right level of sophistication? Sramana Mitra: Let's go to the very beginning of your journey. Where were you born and raised? Jonathan Spier: I'm a California guy raised in San Diego. I came up here to go to school at Berkeley. I was never able to escape again. Sramana Mitra: What did you do after Berkeley? Jonathan Spier: I went briefly into consulting and then I landed at a company called Ariba. I was the number 85 employee. Within a few years, we were 3,500 people. It was a fun place to be. Sramana Mitra: We have the Ariba case study. Keith Krach was on the series. Jonathan Spier: He was a great leader. That whole team was amazing. I was the youngest person they hired. It was a really senior team they had by the time I joined. I got pretty much hooked on growth

Now is the time to talk, to put in place standards and regulations to mitigate the risk of a society ... [ ] based on surveillance and other nightmarish scenarios. Artificial Intelligence has become commonplace in the lives of billions of people globally. Research shows that 56% of companies have adopted AI in at least one function, especially in emerging nations. AI is used in everything from optimizing service operations through to recruiting talent. It can capture biometric data and it already helps in medical applications, judicial systems, and finance, thus making key decisions in people's lives. But one huge challenge remains to regulate its use.