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Flipped.ai’s weekly newsletter read by more than 75,000 professionals, entrepreneurs, decision makers and investors around the world.

In this week’s newsletter, we cover top 5 latest AI news and more. Lets dive straight in!

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UK Study Pinpoints Jobs Most Prone to AI and Chatbot Replacement

A study by the U.K.’s Department for Education identified jobs most likely to be affected by AI and chatbots. Positions requiring higher formal education, such as management consultants and financial managers, topped the list for AI exposure. Legal professionals were also deemed at risk. For chatbots, telephone salespersons and solicitors were most vulnerable. In contrast, jobs involving technical skills and manual labor, like sports players and roofers, were least likely to be replaced. The study suggests that lower-paying jobs requiring less formal education are generally safer from AI impact. [Link]

HuGE Method: Crowdsourced Feedback for Rapid Robot Learning

Researchers from MIT, Harvard University, and the University of Washington have introduced a groundbreaking reinforcement learning approach named Human Guided Exploration (HuGE). Unlike traditional methods where a human expert designs a reward function for AI agents, HuGE utilizes crowdsourced feedback from nonexperts to guide the learning process. This innovative approach enables AI agents to learn more efficiently and quickly, even when dealing with noisy data from users. The process involves a goal selector algorithm updated with human feedback, leading the AI agent toward its objective. HuGE demonstrated accelerated learning in both simulated and real-world tasks, showcasing its potential for scalability and practical application in training AI agents for various complex tasks. [Link]

AI Tool Detects Fraudulent Wine Scents

Scientists have developed an AI algorithm using machine learning to trace wines based on routine chemical analyses, distinguishing them not only to a specific vine-growing region but also to the estate where they were made. The algorithm, trained on 80 wines from seven estates in Bordeaux, analyzes the overall pattern of concentrations of many compounds to create a chemical signature specific to each chateau. While the program demonstrated 99% accuracy in tracing wines back to the correct chateaux, it struggled with vintages. The researchers suggest the AI tool could aid fraud investigations and quality monitoring in winemaking. [Link]

GenAI Cloud: Navigating the Future of Computing

This year's KubeCon + CloudNativeCon spotlights the rising significance of Generative AI (GenAI) in cloud computing, with companies hastily adopting cloud-native architectures to accommodate AI applications and large language models. Despite a palpable urgency among companies catching up, sustainability concerns arise due to the heightened demand for powerful GPUs in GenAI. Efforts to address this include Kubernetes 1.26's compatibility for dynamic GPU resource allocation. The article underscores the pivotal role of open source solutions in navigating this landscape, drawing parallels between the evolving GenAI era and the earlier challenges and corrections experienced in the cloud computing paradigm. [Link]

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ChatGPT Integration Elevates Snap's Lens Studio 5.0 AR Capabilities

Snap, the parent company of Snapchat, partners with OpenAI to integrate ChatGPT into AR Lenses, aiming to revolutionize augmented reality (AR) experiences. Lens Studio 5.0 Beta enhances AR development, incorporating the ChatGPT Remote API for advanced capabilities. Snap's My AI chatbot, driven by OpenAI's GPT model, highlights their commitment to cutting-edge technology. A 3D face mask generator democratizes lens creation, merging Gen AI with face mesh features. Despite workforce reductions, 330,000 developers actively contribute to Snap's AR platform, producing 3.5 million Lenses. At APAC AR Day, Snap CEO Evan Spiegel applauds Indian creators, emphasizing AI's role in fostering AR creativity. [Link]

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Flipped.ai Editorial Team