OpenAI Advanced Voice Mode🎤, NVIDIA & Llama-3.1-Nemotron-51B💻, Mercado Libre & Verdi🛒

Mercado Libre Unveils Verdi: A GPT-4o Powered AI Developer Platform

Mercado Libre, Latin America's largest e-commerce and fintech company, has revolutionized its industry with AI-driven innovations. Central to this transformation is Verdi, an AI platform powered by GPT-4o, GPT-4o mini, and GPT-3.5 Turbo. Verdi enables Mercado Libre to automate complex tasks, such as customer service mediation, enhancing efficiency and reducing the need for human intervention. Notably, Verdi has already managed 10% of customer service disputes autonomously and supports operations involving over $450 million annually.

Verdi stands out for its seamless integration into Mercado Libre’s ecosystem, offering features such as natural language-based interfaces, built-in security, and scalability, which distinguish it from competitors like Google’s Vertex AI and Amazon’s SageMaker. This platform allows developers to easily iterate on AI solutions, improving tasks like product cataloging, fraud detection, and personalized user interactions.

Future applications of Verdi include expanding into AI-driven supply chain management, predictive analytics, enhanced product recommendations, and financial services. Verdi’s advanced capabilities ensure that Mercado Libre remains a leader in AI innovation within the e-commerce and fintech sectors, with potential for global expansion.

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NVIDIA’s Llama-3.1-Nemotron-51B: Redefining Efficiency in Language Models

NVIDIA's Llama-3.1-Nemotron-51B is a groundbreaking AI model derived from Meta's Llama-3.1-70B, optimized to run efficiently on a single NVIDIA H100 GPU. Using Neural Architecture Search (NAS) and knowledge distillation, NVIDIA has reduced the model's size and computational demands while maintaining high accuracy. This innovation enables 2.2x faster inference and 4x larger workload capacity compared to its predecessor, making high-performance AI more accessible and cost-effective.

The model's optimized architecture, reduced memory usage, and compatibility with a single GPU make it an ideal tool for businesses and developers, especially those with limited resources. NVIDIA's release of the Llama-3.1-Nemotron-51B is a significant step towards making advanced AI technology scalable, cost-effective, and practical for real-world applications across various industries.

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Advanced Voice Mode by OpenAI

OpenAI is expanding its Advanced Voice Mode (AVM) to more ChatGPT users, starting with paying customers in the Plus and Teams tiers, with Enterprise and Edu customers gaining access next week. AVM, which enhances ChatGPT’s conversational experience, features a revamped design, now represented by a blue animated sphere. Additionally, five new voices—Arbor, Maple, Sol, Spruce, and Vale—have been added, bringing the total number of voices to nine.

The rollout follows the removal of the "Sky" voice, after a legal issue with actress Scarlett Johansson, who claimed the voice resembled her own from the film Her. OpenAI responded by discontinuing Sky. The goal of AVM is to make ChatGPT feel more natural, aligning with its nature-themed voice names.

Microsoft Free Course: IoT for Beginners

What you will learn

• Introduction to foundational machine learning concepts (e.g., regression, classification, clustering).

• Hands-on, project-based learning using real-world data (e.g., pumpkin prices, sentiment analysis).

• Focus on classic machine learning with Scikit-learn, excluding deep learning.

• Pre- and post-lesson quizzes, assignments, and challenges to reinforce learning.

• Programming primarily in Python, with some lessons available in R.

• Practical application of ML techniques, including building web apps and time series forecasting.

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Microsoft Free Course: Machine Learning for Beginners

What you will learn

• IoT Fundamentals: Understand the basics of Internet of Things (IoT), device coding, cloud connectivity, and telemetry analysis.

• Project-Based Learning: Build real-world IoT projects, including a plant monitoring system, vehicle tracker, smart factory setup, and a voice-controlled cooking timer.

• Industry Applications: Explore IoT in various industries such as farming, logistics, manufacturing, and retail, all through practical projects.

• Hands-On Hardware or Virtual Simulations: Use physical IoT hardware or virtual hardware for those without access to real devices.

• Step-by-Step Guidance: Pre- and post-lesson quizzes, project instructions, assignments, and challenges to reinforce learning.

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LIST OF TOOLS

🛡️ Snort: Open-source network intrusion detection system (IDS) and prevention system.

📊 ELK Stack: Elasticsearch, Logstash, and Kibana platform for real-time data analytics and monitoring.

🔍 Elasticsearch: Distributed search and analytics engine.

🔗 Logstash: Server-side data processing pipeline that ingests data from multiple sources simultaneously.

📊 Kibana: Data visualization and exploration tool for Elasticsearch.

🕵️‍♂️ Wireshark: Network protocol analyzer for deep packet inspection.

🤖 Ansible: Open-source automation platform for IT tasks such as configuration management, application deployment, and cloud provisioning.

OpenAI Training Data to Be Inspected in Authors’ Copyright Cases
OpenAI is facing a lawsuit from authors, including Sarah Silverman, for allegedly using their copyrighted works to train AI without permission. OpenAI has agreed to allow its training data to be inspected under strict security conditions. The company plans to defend its use of copyrighted material under the "fair use" doctrine, while the authors argue it amounts to infringement. This case is part of a broader legal battle over AI companies using copyrighted works without compensation.

Why It Matters: This case could set a legal precedent for how AI companies use copyrighted material, influencing AI development and intellectual property rights in the tech industry.

Practical Importance: Developers, content creators, and companies must be cautious about AI training data, potentially leading to stricter regulations and licensing requirements for AI models.

Find the Right Open Source Research Tools With Bellingcat’s New Online Investigations Toolkit
Bellingcat's Online Investigations Toolkit is a resource designed for researchers and journalists, offering categorized tools for tasks like mapping, satellite imagery, and social media analysis. Each tool includes descriptions, cost, and usage tips. The toolkit is updated by the community and features an AI-powered search to help users find relevant tools easily.

Why It Matters: This toolkit democratizes investigative journalism by providing a structured, accessible resource for open-source research, helping hold powerful entities accountable.

Practical Importance: Journalists, researchers, and NGOs can use this toolkit to efficiently gather evidence, improve investigations, and analyze data, regardless of technical expertise.


Microsoft CEO: Ignore ‘conventional wisdom’ about AI—it can already help you be more productive at work
Microsoft CEO Satya Nadella emphasized the need for more widespread use of AI, highlighting its potential to boost productivity and innovation. He described AI as a "co-pilot" that can assist people in their daily tasks, enabling them to achieve more with less effort. Nadella mentioned several use cases, including how AI tools have improved coding efficiency and helped users navigate complex systems. He also stressed the importance of responsible AI development, ensuring that ethical principles are built into the technology from the start. According to Nadella, AI is still in its early stages, with enormous opportunities ahead for both short- and long-term advancements.

Why It Matters: Widespread AI adoption can transform work environments, making tasks more efficient while also raising ethical concerns that require attention.

Practical Importance: Businesses and professionals can integrate AI tools to enhance productivity, save time on routine tasks, and focus on creative, higher-level activities, while ensuring responsible AI use.

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